Caribbean Regional Headquarters Hastings House Balmoral Gap Christ Church Barbados West Indies Tel: +1 246 426 2042 UK Office Almond House Betteshanger Business Park Deal Kent CT14 0LX United Kingdom Tel: +44 (0) 1304 619 929 [email protected] ~ www.caribsave.org Protecting and enhancing the livelihoods, environments and economies of the Caribbean Basin THE CARIBSAVE CLIMATE CHANGE RISK ATLAS (CCCRA) Climate Change Risk Profile for The Bahamas Prepared by The CARIBSAVE Partnership with funding from UKaid from the Department for International Development (DFID) and the Australian Agency for International Development (AusAID) March 2012 Caribbean Climate Change & Livelihoods: A sectoral approach to vulnerability and resilience Water, Energy, Biodiversity, Tourism, Agriculture, Human Health, Infrastructure and Settlement, Gender, Comprehensive Disaster Management A Not-For-Profit Company TABLE OF CONTENTS LIST OF FIGURES ..................................................................................................................................... V LIST OF TABLES ...................................................................................................................................... VI ACKNOWLEDGEMENTS.......................................................................................................................... IX PROJECT BACKGROUND AND APPROACH ................................................................................................ X LIST OF ABBREVIATIONS AND ACRONYMS ............................................................................................. XIII EXECUTIVE SUMMARY.......................................................................................................................... XVI 1. GLOBAL AND REGIONAL CONTEXT ................................................................................................. 1 1.1. 2. 3. Climate change impacts on tourism.............................................................................................. 3 NATIONAL CIRCUMSTANCES ......................................................................................................... 4 2.1. Geography and climate ................................................................................................................. 4 2.2. Socio-economic profile.................................................................................................................. 5 2.3. Importance of tourism to the national economy.......................................................................... 6 CLIMATE MODELLING ................................................................................................................... 8 3.1. Introduction to Climate Modelling Results ................................................................................... 8 3.2. Temperature ................................................................................................................................. 9 3.3. Precipitation ................................................................................................................................ 11 3.4. Wind Speed ................................................................................................................................. 13 3.5. Relative Humidity ........................................................................................................................ 15 3.6. Sunshine Hours ........................................................................................................................... 16 3.7. Sea Surface Temperatures .......................................................................................................... 18 3.8. Temperature Extremes ............................................................................................................... 18 3.9. Rainfall Extremes......................................................................................................................... 20 3.10. Hurricanes and Tropical Storms .................................................................................................. 22 3.11. Sea Level Rise .............................................................................................................................. 23 3.12. Storm Surge ................................................................................................................................ 24 4. VULNERABILITY AND IMPACTS PROFILE FOR THE BAHAMAS ......................................................... 26 4.1. 4.2. 4.3. Water Quality and Availability .................................................................................................... 27 4.1.1. Background............................................................................................................. 27 4.1.2. Vulnerability of water sector to climate change .................................................... 30 Energy Supply and Distribution ................................................................................................... 34 4.2.1. Background............................................................................................................. 34 4.2.2. Trends in energy use in Bahamas ........................................................................... 39 4.2.3. Vulnerability of the energy sector to climate change ............................................ 41 Agriculture and Food Security ..................................................................................................... 49 4.3.1. Background............................................................................................................. 49 4.3.2. The importance of agriculture to national development ...................................... 49 i 4.4. 4.5. 4.6. 4.7. 4.8. 5. 4.3.3. An analysis of the agricultural sector in The Bahamas........................................... 49 4.3.4. Women and youth in Bahamian agriculture .......................................................... 51 4.3.5. Climate change related issues and agricultural vulnerability in Bahamas ............. 51 4.3.6. Vulnerability enhancing factors: agriculture, land use and soil degradation in Bahamas ............................................................................................................. 52 4.3.7. Social vulnerability of agricultural communities in The Bahamas ......................... 53 4.3.8. Economic vulnerability: climate change & agricultural outputs in Bahamas......... 54 Human health.............................................................................................................................. 56 4.4.1. Background............................................................................................................. 56 4.4.2. Direct impacts ........................................................................................................ 57 4.4.3. Indirect impacts ...................................................................................................... 58 Marine and Terrestrial Biodiversity and Fisheries ...................................................................... 65 4.5.1. Background............................................................................................................. 65 4.5.2. Vulnerability of biodiversity and fisheries to climate change ................................ 74 Sea Level Rise and Storm Surge Impacts on Coastal Infrastructure and Settlements ................ 79 4.6.1. Background............................................................................................................. 79 4.6.2. Vulnerability of Infrastructure and Settlements to Climate Change...................... 79 Comprehensive Natural Disaster Management.......................................................................... 84 4.7.1. History of disaster management globally .............................................................. 84 4.7.2. Natural hazards in the Caribbean and The Bahamas ............................................. 85 Community Livelihoods, Gender, Poverty and Development: the Case Study of the Abaco Island Communities, The Bahamas ............................................................................................. 88 4.8.1. Background............................................................................................................. 88 4.8.2. Natural Resources and Community Livelihoods .................................................... 90 4.8.3. Implications for Gender-Specific Vulnerability in the Abaco Islands ..................... 94 ADAPTIVE CAPACITY PROFILE FOR THE BAHAMAS ........................................................................ 96 5.1. 5.2. 5.3. Water Quality and Availability .................................................................................................... 97 5.1.1. Policy ...................................................................................................................... 97 5.1.2. Management .......................................................................................................... 98 5.1.3. Technology ............................................................................................................. 99 Energy Supply and Distribution ................................................................................................. 101 5.2.1. Policy .................................................................................................................... 101 5.2.2. Management ........................................................................................................ 102 5.2.3. Technology ........................................................................................................... 105 Agriculture and Food Security ................................................................................................... 107 5.3.1. Policy .................................................................................................................... 107 5.3.2. Technology ........................................................................................................... 107 5.3.3. Farmers’ Adaptation - Initiatives and Actions ...................................................... 108 ii 5.4. 5.5. 5.6. 5.7. 5.8. 6. Human Health ........................................................................................................................... 110 5.4.1. Policy .................................................................................................................... 110 5.4.2. Management ........................................................................................................ 111 5.4.3. Summary .............................................................................................................. 113 Marine and Terrestrial Biodiversity and Fisheries .................................................................... 115 5.5.1. Policy .................................................................................................................... 115 5.5.2. Management ........................................................................................................ 117 5.5.3. Protected Areas .................................................................................................... 118 5.5.4. Technology ........................................................................................................... 119 Sea Level Rise Impacts on Coastal Infrastructure and Settlements .......................................... 121 5.6.1. Technology – HARD Engineering .......................................................................... 123 5.6.2. Technology – SOFT Engineering ........................................................................... 123 5.6.3. Policy .................................................................................................................... 123 Comprehensive Natural Disaster Management........................................................................ 125 5.7.1. Management of natural hazards and disasters.................................................... 125 5.7.2. Caribbean disaster management and climate change ......................................... 125 5.7.3. Bahamas disaster management system ............................................................... 128 5.7.4. Technology ........................................................................................................... 129 5.7.5. Policy .................................................................................................................... 130 Community Livelihoods, Gender, Poverty and Development................................................... 132 5.8.1. Household Surveys ............................................................................................... 132 5.8.2. Demographic Profile of Respondents .................................................................. 132 5.8.3. Household Form and Structure ............................................................................ 133 5.8.4. Security and Social Protection.............................................................................. 140 5.8.5. Asset Base............................................................................................................. 144 5.8.6. Adaptation and mitigation strategies .................................................................. 157 RECOMMENDED STRATEGIES AND INITIAL ACTION PLAN ........................................................... 159 6.1. Cross-Cutting Actions ................................................................................................................ 159 6.1.1. Implementing and Strengthening Data Collection, Monitoring and Evaluation Activities ............................................................................................. 159 6.1.2. Mainstreaming Climate Change in Policy, Planning and Practice ........................ 161 6.1.3. Building and Strengthening Information Sharing and Communication Systems and Networks ......................................................................................... 163 6.1.4. Climate Change Education and Awareness .......................................................... 164 6.2. Water Quality and Availability .................................................................................................. 165 6.3. Energy Supply and Distribution ................................................................................................. 166 6.4. Agriculture and Food Security ................................................................................................... 167 6.5. Human Health ........................................................................................................................... 168 iii 7. 6.6. Marine and Terrestrial Biodiversity and Fisheries .................................................................... 169 6.7. Sea Level Rise and Storm Surge Impacts on Coastal Infrastructure and Settlements .............. 171 6.8. Comprehensive Natural Disaster Management........................................................................ 172 6.9. Community Livelihoods, Gender, Poverty and Development................................................... 173 CONCLUSION ............................................................................................................................ 175 7.1. Climate Modelling ..................................................................................................................... 175 7.2. Water Quality and Availability ................................................................................................. 175 7.3. Energy Supply and Distribution ................................................................................................. 176 7.4. Agriculture and Food Security ................................................................................................... 177 7.5. Human Health ........................................................................................................................... 177 7.6. Marine and Terrestrial Biodiversity and Fisheries .................................................................... 178 7.7. Sea Level Rise and Storm Surge Impacts on Coastal Infrastructure and Settlements .............. 178 7.8. Comprehensive Natural Disaster Management........................................................................ 179 7.9. Community Livelihoods, Gender, Poverty and Development................................................... 180 REFERENCES....................................................................................................................................... 181 iv LIST OF FIGURES Figure 4.1.1: Sources of Freshwater for New Providence in millions of gallons of water per day ................. 27 Figure 4.2.1: Global CO2 emission pathways versus unrestricted tourism emissions growth ....................... 35 Figure 4.2.2: Per capita emissions of CO2 in selected countries in the Caribbean, 2005 ............................... 36 Figure 4.2.3: Crude oil prices 1869-2009......................................................................................................... 42 Figure 4.2.4: Fuel costs as part of worldwide operating cost.......................................................................... 43 Figure 4.2.5: Vulnerability of selected islands, measured as eco-efficiency and revenue share .................... 46 Figure 4.3.1: Bahamas estimated value of Hurricane damage to crops, livestock and fisheries .................... 52 Figure 4.5.1: Caribbean pine forest in Abaco, Bahamas ................................................................................. 67 Figure 4.5.2: Extant forests and mangroves of The Bahamas ......................................................................... 68 Figure 4.5.3: Beach erosion exacerbated by the invasive Casuarina tree ....................................................... 70 Figure 4.5.4: Location of coral reefs in The Bahamas...................................................................................... 71 Figure 4.5.5: Beach erosion along Cabbage Beach .......................................................................................... 76 Figure 4.6.1: High Resolution Coastal Profile Surveying with GPS .................................................................. 81 Figure 4.6.2: GPS Surveying Transects on Harbour Island............................................................................... 82 Figure 4.6.3: Sea Level Rise Vulnerability on Harbour Island – Zone A and B ................................................. 83 Figure 4.8.1: Map of The Bahamas showing location of Abaco ...................................................................... 88 Figure 4.8.2: Workshop group mapping exercise............................................................................................ 89 Figure 5.2.1: Eco-efficiencies of different source markets, Amsterdam ....................................................... 104 Figure 5.5.1: Map showing existing Marine Parks and Proposed Marine Reserve Areas ............................. 119 Figure 5.7.1: Relationship of the Disaster Management System and Society .............................................. 125 Figure 5.8.1: Relationship Status of Respondents ......................................................................................... 134 Figure 5.8.2: Sample Distribution by Average Monthly Earnings .................................................................. 136 Figure 5.8.3: Household Income Generating Activity.................................................................................... 138 Figure 5.8.4: Sample Distribution by Financial Responsibility for Household ............................................... 139 Figure 5.8.5: Sample Distribution by Financial Responsibility for Household ............................................... 140 Figure 5.8.6: Financial Security: Job Loss or Natural Disaster ....................................................................... 142 Figure 5.8.7: Sample Distribution by Ownership of Assets: Access to Water ............................................... 146 Figure 5.8.8: Graph of Involvement in Agriculture ........................................................................................ 150 Figure 5.8.9: Perceptions of Household and Community Risk of Climate Related Events ............................ 156 v LIST OF TABLES Table 2.2.1: Gross Domestic Product for Bahamas, 2000 - 2009 ...................................................................... 5 Table 2.3.1: Visitor Arrivals to Bahamas 1990 - 2009........................................................................................ 6 Table 2.3.2: Estimated Tourist Expenditure (millions US $) .............................................................................. 7 Table 3.1.1: Earliest and latest years respectively at which the threshold temperatures are exceeded in the 41 projections* ............................................................................................................................. 9 Table 3.2.1: Observed and GCM projected changes in temperature for The Bahamas. ................................ 10 Table 3.2.2: GCM & RCM projected changes in temperature for The Bahamas under the A2 scenario. ....... 10 Table 3.3.1: Observed and GCM projected changes in precipitation for The Bahamas. ................................ 11 Table 3.3.2: GCM & RCM projected changes in precipitation for The Bahamas under the A2 scenario. ....... 12 Table 3.3.3: Observed and GCM projected changes in precipitation (%) for The Bahamas. .......................... 12 Table 3.3.4: GCM & RCM projected changes in precipitation (%) for The Bahamas under the A2 scenario. ................................................................................................................................................ 13 Table 3.4.1: Observed and GCM projected changes in wind speed for The Bahamas.................................... 14 Table 3.4.2: GCM & RCM projected changes in wind speed for The Bahamas under the A2 scenario. ......... 14 Table 3.5.1: Observed and GCM projected changes in relative humidity for The Bahamas........................... 15 Table 3.5.2: GCM and RCM projected changes relative humidity for The Bahamas under the A2 scenario. ................................................................................................................................................ 16 Table 3.6.1: Observed and GCM projected changes in sunshine hours for The Bahamas.............................. 17 Table 3.6.2: GCM and RCM projected changes sunshine hours for The Bahamas under the A2 scenario. ................................................................................................................................................ 17 Table 3.7.1: Observed and GCM projected changes in sea surface temperature for The Bahamas. ............. 18 Table 3.8.1: Observed and GCM projected changes in temperature extremes for The Bahamas. ................ 19 Table 3.9.1: Observed and GCM projected changes in rainfall extremes for The Bahamas. .......................... 21 Table 3.10.1: Changes in Near-storm rainfall and wind intensity associated with Tropical storms in under global warming scenarios. .......................................................................................................... 23 Table 3.11.1: Sea level rise rates at observation stations surrounding the Caribbean Basin ......................... 24 Table 3.11.2: Projected increases in sea level rise from the IPCC AR4 ........................................................... 24 Table 4.1.1: Comparison of Water Availability and Population for various Islands in The Bahamas*............ 28 Table 4.1.2: Water Charges in The Bahamas ................................................................................................... 30 Table 4.2.1: Fuel imports into The Bahamas in thousands of barrels of energy, 1990-1994 ......................... 37 Table 4.2.2: Estimated emissions of CO2 from fossil fuel energy use in kt, 1990 & 1994 .............................. 37 Table 4.2.3: CO2 emissions from international bunkering in The Bahamas (kt) ............................................. 37 Table 4.2.4: Assessment of CO2-emissions from tourism in Bahamas, data for various years ....................... 38 vi Table 4.2.5: UK air passenger duty as of 1 November 2011 ........................................................................... 44 Table 4.3.1: Imports by Commodity Group 1999 and 2003 ‐ 2007 (B $'000) ................................................. 50 Table 4.3.2: Value of Imports of Selected Crops ............................................................................................. 51 Table 4.4.1: Selected statistics relevant to the Health Sector of The Bahamas .............................................. 56 Table 4.4.2: Primarily affected population in The Bahamas after Hurricane Frances (Aug 31 st – 5th Sept) and Hurricane Jeanne (Sept 25th) ................................................................................................ 57 Table 4.5.1: Important reef regions in The Bahamas ...................................................................................... 71 Table 4.5.2: Summary table of biodiversity in Bahamas and related anthropogenic and climate change threats ...................................................................................................................................... 78 Table 4.6.1: Impacts associated with 1m and 2m SLR and 50m and 100m beach erosion in The Bahamas ................................................................................................................................................ 80 Table 4.6.2: Eleuthera and Harbour Island Beach Resources at Risk to Sea Level Rise .................................. 82 Table 4.7.1: Types of Hazards in the Caribbean Basin..................................................................................... 85 Table 4.7.2: Summary of Recent Tropical Storm and Hurricane Impacts ....................................................... 87 Table 5.2.1: Average weighted emissions per tourist by country and main market, 2004 .......................... 103 Table 5.2.2: Arrivals to emissions ratios ........................................................................................................ 103 Table 5.4.1: Total expenditure on Health as a % of GDP between 1995 and 2005 ...................................... 111 Table 5.4.2: Summary of Capital Development Expenditure in the Ministry of Health and Public Hospitals Authority 2007 – 2011......................................................................................................... 111 Table 5.4.3: Summary of Cost of Impacts on The Bahamas Health Sector after Hurricanes Jeanne and Frances 113 Table 5.5.1: Biodiversity: Six Principles for Climate Change Adaptation ...................................................... 115 Table 5.5.2: International/regional agreements to which The Bahamas is party ......................................... 116 Table 5.5.3: Legislation on environmental protection in Bahamas ............................................................... 117 Table 5.6.1: Summary of Adaptation Policies to reduce The Bahamas’ vulnerability to SLR and SLRinduced beach erosion ........................................................................................................................ 122 Table 5.7.1: Enhanced Comprehensive Disaster Management Programme Framework 2007-2012 ........... 127 Table 5.8.1: Length of Residency in Parish / Community .............................................................................. 132 Table 5.8.2: Age Distribution of Sample by Sex of Head of Household, N Values ........................................ 133 Table 5.8.3: Age Distribution of Sample by Sex of Head of Household, %Values ......................................... 133 Table 5.8.4: Relationship Status of Respondents .......................................................................................... 133 Table 5.8.5: Perception of Head ship of Household ...................................................................................... 134 Table 5.8.6: Family Size by Sex of Head of Household .................................................................................. 134 Table 5.8.7: Sample Distribution by Education and Training ........................................................................ 135 Table 5.8.8: Sample Distribution by Average Monthly Earnings, N Values ................................................... 135 Table 5.8.9: Sample Distribution by Average Monthly Earnings, % Values................................................... 135 vii Table 5.8.10: Labour Market Participation: Involvement in Tourism Sector ................................................ 136 Table 5.8.11: Labour Market Participation: Involvement in Tourism AND Non-Tourism Sectors ................ 137 Table 5.8.12: Sample Distribution by Involvement in Income Generating Activity ...................................... 137 Table 5.8.13: Source of Food Supply ............................................................................................................. 141 Table 5.8.14: Adequacy of Food Supply ........................................................................................................ 141 Table 5.8.15: Sample Distribution by Access to Credit .................................................................................. 141 Table 5.8.16: Sample Distribution by Financial Security: Natural Disaster ................................................... 142 Table 5.8.17: Sample Distribution by Financial Security: Job Loss ................................................................ 143 Table 5.8.18: Sample Distribution by Social Protection Provisions ............................................................... 143 Table 5.8.19: Sample Distribution by Ownership of Assets: Capital Assets .................................................. 144 Table 5.8.20: Sample Distribution by Ownership of Assets: House Material................................................ 144 Table 5.8.21: Sample Distribution by Ownership of Assets: Appliances / Electronics .................................. 145 Table 5.8.22: Sample Distribution by Ownership of Assets: Transportation ................................................ 145 Table 5.8.23: Sample Distribution by Ownership of Assets: Access to Sanitation Conveniences ................. 145 Table 5.8.24: Sample Distribution by Ownership of Assets: Access to Garbage Collection .......................... 146 Table 5.8.25: Power and Decision Making .................................................................................................... 147 Table 5.8.26: Social Networks: Community Involvement ............................................................................. 147 Table 5.8.27: Social Networks: Community Involvement – Organisation Membership ............................... 147 Table 5.8.28: Social Networks: Support Systems .......................................................................................... 148 Table 5.8.29: Use and Importance of Natural Resources .............................................................................. 148 Table 5.8.30: Use and Importance of Natural Resources, by Sex of Respondent ......................................... 149 Table 5.8.31: Involvement in Agriculture ...................................................................................................... 150 Table 5.8.32: Involvement in Agriculture: Irrigation Method ....................................................................... 151 Table 5.8.33: Involvement in Agriculture: Knowledge of Water Conflict...................................................... 151 Table 5.8.34: Knowledge of Climate Related Events ..................................................................................... 152 Table 5.8.35: Knowledge of Appropriate Response to Climate Related Events............................................ 153 Table 5.8.36: Appropriate Response to Climate Related Events ................................................................... 154 Table 5.8.37: Perceived Level of Risk of Climate Related Events: Household ............................................... 155 Table 5.8.38: Level of Impact from Hurricanes and Flooding on Respondents’ Livelihoods (2006-2011) .... 155 Table 5.8.39: Perceptions of Household and Community Risk of Climate Related Events ........................... 156 Table 5.8.40: Perceived Level of Risk of Climate Related Events: Community ............................................. 157 Table 5.8.41: Adaptation Strategies Employed ............................................................................................. 158 Table 5.8.42: Perceptions of Risk to Community Economic Livelihoods ....................................................... 158 viii ACKNOWLEDGEMENTS The CARIBSAVE Partnership wishes to thank all the people across The Bahamas and in the Caribbean who have contributed to this National Risk Profile and to the Risk Atlas as a whole. There have been a multitude of people who have provided their time, assistance, information and resources to making the Risk Atlas effective and successful, so many people that it makes it impossible to mention all of them here on this page. We would, therefore, like to thank some of the key people and organisations here that have made the Risk Atlas and this National Profile possible. The CARIBSAVE Partnership wishes to thank The Bahamas Ministry of Tourism for its support and assistance, in particular, the Honourable Vanderpool Wallace, Minister of Tourism; and Mr. Earlston McPhee, Director of Sustainable Tourism. We wish to express great thanks to the Caribbean Community Climate Change Centre, the Caribbean Tourism Organisation and the Association of Caribbean States for their collaboration and support. Additionally, we wish to thank the following institutions: The Climate Studies Group, Department of Physics, University of the West Indies, Mona Campus The Meteorological Institute of the Republic of Cuba (INSMET) The Anton de Kom University of Suriname The University of Waterloo The Institute for Gender and Development Studies, University of the West Indies, Mona Campus The Health Research Resource Unit, Faculty of Medical Science, University of the West Indies, Mona Campus The Bahamas Environment, Science and Technology (BEST) Commission The Bahamas Friends of the Environment The Ministry of Tourism, Abaco Albury’s Ferry Service The CARIBSAVE Partnership would also like to extend its thanks to the Oxford University Centre for the Environment. Finally, last and by no means least, many thanks to the vision and commitment of the UK Department for International Development (DFID) and the Australian Agency for International Development (AusAID) for funding the CARIBSAVE Climate Change Risk Atlas. This publication is to be cited as follows: Simpson, M. C., Clarke, J. F., Scott, D. J., New, M., Karmalkar, A., Day, O. J., Taylor, M., Gossling, S., Wilson, M., Chadee, D., Stager, H., Waithe, R., Stewart, A., Georges, J., Hutchinson, N., Fields, N., Sim, R., Rutty, M., Matthews, L., and Charles, S. (2012). CARIBSAVE Climate Change Risk Atlas (CCCRA) - The Bahamas. DFID, AusAID and The CARIBSAVE Partnership, Barbados, West Indies. ix PROJECT BACKGROUND AND APPROACH Contribution to climate change knowledge and understanding Climate change is a serious and substantial threat to the economies of Caribbean nations, the livelihoods of communities and the environments and infrastructure across the region. The CARIBSAVE Climate Change Risk Atlas (CCCRA) Phase I, funded by the UK Department for International Development (DFID/UKaid) and the Australian Agency for International Development (AusAID), was conducted from 2009 – 2011 and successfully used evidence-based, inter-sectoral approaches to examine climate change risks, vulnerabilities and adaptive capacities; and develop pragmatic response strategies to reduce vulnerability and enhance resilience in 15 countries across the Caribbean (Anguilla, Antigua & Barbuda, The Bahamas, Barbados, Belize, Dominica, The Dominican Republic, Grenada, Jamaica, Nevis, Saint Lucia, St. Kitts, St. Vincent & the Grenadines, Suriname and the Turks & Caicos Islands). The primary basis of the CCCRA work is the detailed climate modelling projections done for each country under three scenarios: A2, A1B and B1. Climate models have demonstrable skill in reproducing the large scale characteristics of the global climate dynamics; and a combination of multiple Global Climate Model (GCM) and downscaled Regional Climate Model (RCM) projections was used in the investigation of climatic changes for all 15 countries. RCMs simulate the climate at a finer spatial scale over a small area, like a country, acting to ‘downscale’ the GCM projections and provide a better physical representation of the local climate of that area. As such, changes in the dynamic climate processes at a national or community scale can be projected. SRES storylines and scenario families used for calculating future greenhouse gas and other pollutant emissions Storyline and scenario family A2 A1B B1 Description A very heterogeneous world; self reliance; preservation of local identities; continuously increasing global population; economic growth is regionally oriented and per capita economic growth and technological change are slower than in other storylines. The A1 storyline and scenario family describes a future world of very rapid economic growth, global population that peaks in mid-century and declines thereafter, and the rapid introduction of new and more efficient technologies. The three A1 groups are distinguished by their technological emphasis. A1B is balanced across all sources - not relying too heavily on one particular energy source, on the assumption that similar improvement rates apply to all energy supply and end use technologies. A convergent world with the same global population that peaks in mid-century and declines thereafter, as in the A1 storyline, but with rapid changes in economic structures toward a service and information economy, with reductions in material intensity, and the introduction of clean and resource-efficient technologies. The emphasis is on global solutions to economic, social, and environmental sustainability, including improved equity, but without additional climate initiatives. (Source: Adapted from the IPCC Special Report on Emissions Scenarios, 2000) The CCCRA provides robust and meaningful new work in the key sectors and focal areas of: Community Livelihoods, Gender, Poverty and Development; Agriculture and Food security; Energy; Water Quality and Availability; Sea Level Rise and Storm Surge Impacts on Coastal Infrastructure and Settlements; Comprehensive Disaster Management; Human Health; and Marine and Terrestrial Biodiversity and Fisheries. This work was conducted through the lens of the tourism sector; the most significant socioeconomic sector to the livelihoods, national economies and environments of the Caribbean and its' people. x The field work components of the research and CARIBSAVE’s commitment to institutional strengthening in the Caribbean have helped to build capacity in a wide selection of ministries, academic institutions, communities and other stakeholders in the areas of: climate modelling, gender and climate change, coastal management methods and community resilience. Having been completed for 15 countries in the Caribbean Basin, this work allows for inter-regional and cross-regional comparisons leading to lesson learning and skills transfer. A further very important aspect of the CCCRA is the democratisation of climate change science. This was conducted through targeted awareness, tools (e.g. data visualisation, GIS imagery, animated projections and short films), and participatory approaches (workshops and vulnerability mapping) to improve stakeholder knowledge and understanding of what climate change means for them. Three short films, in high-resolution format of broadcast quality, are some of the key outputs. These films are part of the Partnerships for Resilience series and include: ‘Climate Change and Tourism’; ‘Caribbean Fish Sanctuaries’; and ‘Living Shorelines’. They are available at www.youtube.com/Caribsave. Project approach to enhancing resilience and building capacity to respond to climate change across the Caribbean Processes and outputs from the CCCRA bridge the gap between the public and private sectors and communities; and their efforts to address both the physical and socio-economic impacts of climate change, allowing them to better determine how current practices (which in fact are not isolated in one sector alone) and capacities must be enhanced. The stages of the CCCRA country profile protocol (see Flow Chart on the following page) are as follows: a) Climate Modelling and Data Analysis (including analysis of key ‘Tier 1’ climate variables linking the climate modelling to physical impacts and vulnerabilities) b) Physical Impacts and Vulnerability Assessment c) Tourism and Related Sector Vulnerability Assessments (including examination of the sectors of water, energy, agriculture, biodiversity, health, infrastructure and settlement, and comprehensive disaster management) d) Development of Vulnerability Profile with stakeholders taking account of socio-economic, livelihood and gender impacts (including evaluation of ‘Tier 2’ linking variables and indicators such as coastal inundation) e) Adaptive Capacity Assessment and Profiling f) Development of Adaptation and Mitigation Strategies and Policy Recommendations (action planning). The final stages depicted in the flow chart focusing on the implementation of policies and strategies at ministerial/government level and the implementation of actions at community level, using a communitybased adaptation approach, are proposed to be implemented as part of the forthcoming CCCRA process as projects to be funded by other donors post the country profile stage. The work of the CCCRA is consistent with the needs of Caribbean Small Island and Coastal Developing States identified in the document, “Climate Change and the Caribbean: A Regional Framework for Development Resilient to Climate Change (2009-2015)”, published by the Caribbean Community Climate Change Centre (CCCCC); and supports each of the key strategies outlined in the framework’s Regional Implementation Plan. xi CCCRA Profiling Flow Chart The CCCRA continues to provide assistance to the governments, communities and the private sector of the Caribbean at the local destination level and at national level through its primary outputs for each of the 15 participating countries: National Climate Change Risk Profiles; Summary Documents; and high-resolution maps showing sea level rise and storm surge projections under various scenarios for vulnerable coastal areas. It is anticipated that this approach will be replicated in other destinations and countries across the Caribbean Basin. The CCCRA explored recent and future changes in climate in each of the 15 countries using a combination of observations and climate model projections. Despite the limitations that exist with regards to climate modelling and the attribution of present conditions to climate change, this information provides very useful indications of the changes in the characteristics of climate and impacts on socio-economic sectors. Consequently, decision makers should adopt a precautionary approach and ensure that measures are taken to increase the resilience of economies, businesses and communities to climate-related hazards. This report was created through an extensive desk research, participatory workshops, fieldwork, surveys and analyses with a wide range of public and private sector, and local stakeholders over 18 months. xii LIST OF ABBREVIATIONS AND ACRONYMS AOSIS ------------ Alliance of Small Island States AR4 --------------- Fourth Assessment Report BAIC -------------- Bahamas Agriculture Industrial Corporation BAPA ------------- Bahamas Agriculture Production Association BAU -------------- Business as usual BEST-------------- Bahamas Environmental, Science and Technology Commission BIS --------------- Bahamas Information Services BNGIS ----------- Bahamas National Geographic Information Systems Centre BNT -------------- Bahamas National Trust BREEF ------------ Bahamas Reef and Environmental Education Foundation CAD -------------- Caribbean Application Document CARDI ------------ Caribbean Agriculture Research and Development Institute CAREC ---------- Caribbean Epidemiology Centre CARIB-HYCOS - Caribbean Basin Hydro-geological Cycle Observing System CARICOM ------- Caribbean Community CBD -------------- Convention on Biological Diversity CCCCC ----------- Caribbean Community Climate Change Centre CCCRA ----------- CARIBSAVE Climate Change Risk Atlas CCRIF ------------ Caribbean Catastrophe Risk Insurance Facility CDB -------------- Caribbean Development Bank CDC -------------- Centre for Disease Control and Prevention CDEMA ---------- Caribbean Disaster Emergency Management Agency CDM ------------- Clean Development Mechanism (in the context of Energy/Emissions) CDM ------------- Comprehensive Disaster Management CEHI -------------- Caribbean Environmental Health Institute CEMP ------------ Comprehensive Emergency Management Plan CFP -------------- Ciguatera Fish Poisoning CIMH------------- Caribbean Institute of Meteorology and Hydrology CITES ------------- Convention on International Trade in Endangered Species COP -------------- Conference of Parties CRFM ------------ Caribbean Regional Fisheries Mechanism CRI ---------------- Climate Risk Index CRID-------------- Regional Disaster Center – Latin America and the Caribbean CROSQ----------- Caribbean Regional Organisation for Standards and Quality CSGM ------------ Climate Studies Group Mona CTO -------------- Caribbean Tourism Organization CUBiC ------------ Caribbean Uniform Building Code DANA ------------ Damage and Needs Assessment DFID-------------- Department for International Development DMC ------------- Disaster Management Committee DOS -------------- Department of Statistics DRM ------------- Disaster Risk Management DRR -------------- Disaster Risk Reduction ECE --------------- Energy Conservation and Efficiency ECLAC------------ Economic Commission for Latin America and the Caribbean EEZ --------------- Exclusive Economic Zone EIA ---------------- Environmental Impact Assessment EM-DAT --------- The International Disaster Database ENSO------------- El Niño Southern Oscillation EOC -------------- Emergency Operations Centre ESF --------------- Emergency Support Function xiii EU ETS ----------- European Union Emissions Trading System EU ---------------- European Union EWS -------------- Early Warning System FAO -------------- Food and Agriculture Organization FDI ---------------- Foreign Direct Investment GCM ------------- Global Circulation Model GCP -------------- Ground Control Point GDEM------------ Global Digital Elevation Model GDP -------------- Gross Domestic Product GEF --------------- Global Environment Fund GHG -------------- Greenhouse Gas GIS---------------- Geographic Information System GOB ------------- Government of The Bahamas GPS --------------- Global Positioning System GRAD ------------ Gladstone Road Agricultural Centre GRAPHIC ------- Groundwater Resources Assessment under the Pressures of Humanity and Climate Change HAB -------------- Harmful Algal Blooms HDI --------------- Human Development Index HDR -------------- Human Development Report HFA--------------- Hyogo Framework for Action IAASTD ---------- International Association of Agriculture, Knowledge, Science and Technology for Development IAMAT ---------- International for Medical Assistance to Travellers IATA -------------- International Air Transport Association ICAO ------------- International Civil Aviation Organisation ICC ---------------- International Code Council ICOADS ---------- International Comprehensive Ocean-Atmosphere Data Set ICS ---------------- Incident Command System ICT ---------------- Information and Communication Technologies ICZM ------------- Inter-Coastal Zone Management IDB --------------- Inter-American Development Bank IEA ---------------- International Energy Agency IFRC -------------- International Federation of Red Cross IICA --------------- Inter-American Institute for Cooperation on Agriculture IMF --------------- International Monetary Fund INSMET---------- Meteorological Institute of the Republic of Cuba IPCC -------------- Intergovernmental Panel on Climate Change IPM --------------- Integrated Pest Management IPPM ------------- Integrated Production and Protection Management ISCCP ------------ International Satellite Cloud Climatology Project ISDR -------------- International Strategy for Disaster Reduction ITCZ -------------- Inter-Tropical Convergence Zone IUCN ------------- International Union for Conservation of Nature IUU --------------- Illegal Unregulated Unreported IVM--------------- Integrated Vector Management JJA ---------------- Seasonal period of June, July, August LGPD ------------- Livelihoods, Gender, Poverty and Development LUPAP ----------- Land Use Policy and Administration Project MACC ------------ Mainstreaming Adaptation to Climate Change Project MAM ------------ Seasonal period of March, April, May MDGs ------------ Millennium Development Goals MEAs ------------ Multilateral Environmental Agreements MOF ------------- Ministry of Finance xiv MOPWU -------- Ministry of Public Works and Utilities MPA-------------- Marine Protected Area NASA------------- National Aeronautics and Space Administration NBSAP ----------- National Biodiversity Strategic Action Plan NCCC ------------- National Climate Change Committee NEMA------------ National Emergency Management Agency NEMAP --------- National Environmental Management Action Plan NGOs ------------ Non-Governmental Organisations NHIA ------------- National Hazard Impact Assessment NOAA ------------ National Oceanic and Atmospheric Administration OAS -------------- Organization of American States PA ---------------- Protected Areas PAHO ----------- Pan American Health Organization PKM -------------- Passenger kilometres PVC --------------- Poly-vinyl Chloride RCM ------------- Regional Climate Model RE----------------- Renewable Energy RECC ------------- Review of the Economics of Climate Change REM -------------- Riley Encased Methodology RH ---------------- Relative Humidity RNAT------------- Regional Needs Assessment Team ROI --------------- Return on Investment RWH ------------- Rainwater Harvesting RWSL ------------ Rural Water Supply Limited SEDU ------------ Sustainable Economic Development Unit SIDS -------------- Small Island Developing States SLR --------------- Sea Level Rise SON -------------- Seasonal period of September, October, November SST --------------- Sea Surface Temperature TIN --------------- Triangular Irregular Network UKERC ----------- UK Energy Research Centre UN Women ---- UN Entity for Gender Equality and the Empowerment of Women UN ---------------- United Nations UNCCD ---------- United Nations Convention to Combat Desertification UNDP ----------- United Nations Development Programme UNEP ------------ United Nations Environment Programme UNESCO -------- United Nations Educational, Scientific and Cultural Organization UNFCCC --------- United Nations Framework Convention on Climate Change UNIFEM --------- United Nations Fund for Women UNSD ------------ United Nations Statics Division UNWTO --------- United Nations World Tourism Organisation USACE ----------- United States Army Corps of Engineers USAID ------------ United States for International Development UWI -------------- University of the West Indies VAT --------------- Value Added Tax WCMC ----------- World Conservation Monitoring Centre WDPA ----------- World Database of Protected Areas WEF -------------- World Economic Forum WHO ------------- World Health Organization WSC ------------- Water and Sewerage Corporation WTO ------------- World Tourism Organization WTTC ------------ World Travel and Tourism Council xv EXECUTIVE SUMMARY A practical evidence-based approach to building resilience and capacity to address the challenges of climate change in the Caribbean Climate change is a serious and substantial threat to the economies of Caribbean nations, the livelihoods of communities and the environments and infrastructure across the region. The CARIBSAVE Climate Change Risk Atlas (CCCRA) Phase I, funded by the UK Department for International Development (DFID/UKaid) and the Australian Agency for International Development (AusAID), was conducted from 2009 – 2011 and successfully used evidence-based, inter-sectoral approaches to examine climate change risks, vulnerabilities and adaptive capacities; and develop pragmatic response strategies to reduce vulnerability and enhance resilience in 15 countries across the Caribbean (Anguilla, Antigua & Barbuda, The Bahamas, Barbados, Belize, Dominica, The Dominican Republic, Grenada, Jamaica, Nevis, Saint Lucia, St. Kitts, St. Vincent & the Grenadines, Suriname and the Turks & Caicos Islands). The CCCRA provides robust and meaningful new work in the key sectors and focal areas of: Community Livelihoods, Gender, Poverty and Development; Agriculture and Food security; Energy; Water Quality and Availability; Sea Level Rise and Storm Surge Impacts on Coastal Infrastructure and Settlements; Comprehensive Disaster Management; Human Health; and Marine and Terrestrial Biodiversity and Fisheries. This work was conducted through the lens of the tourism sector; the most significant socio-economic sector to the livelihoods, national economies and environments of the Caribbean and its' people. xvi SELECTED POLICY POINTS Regional Climate Models, downscaled to national level in the Risk Atlas, have provided projections for Caribbean SIDS and coastal states with enough confidence to support decision-making for immediate adaptive action. Planned adaptation must be an absolute priority. New science and observations should be incorporated into existing sustainable development efforts. Economic investment and livelihoods, particularly those related to tourism, in the coastal zone of Caribbean countries are at risk from sea level rise and storm surge impacts. These risks can encourage innovative alternatives to the way of doing business and mainstreaming of disaster risk reduction across many areas of policy and practice. Climate change adaptation will come at a cost but the financial and human costs of inaction will be much greater. Tourism is the main economic driver in the Caribbean. Primary and secondary climate change impacts on this sector must both be considered seriously. Climate change is affecting related sectors such as health, agriculture, biodiversity and water resources that in turn impact on tourism resources and revenue in ways that are comparable to direct impacts on tourism alone. Continued learning is a necessary part of adaptation and building resilience and capacity. There are many areas in which action can and must be taken immediately. Learning from past experiences and applying new knowledge is essential in order to avoid maladaptation and further losses. Overview of Climate Change Issues in The Bahamas The islands of the Bahamas are already experiencing some of the effects of climate variability and change through damage from severe weather systems and other extreme events, as well as more subtle changes in temperature and rainfall patterns. Detailed climate modelling projections for the Bahamas predict: an increase in average atmospheric temperature; reduced average annual rainfall; increased Sea Surface Temperatures (SST); and the potential for an increase in the intensity of tropical storms. And the extent of such changes is expected to be worse than what is being experienced now. To capture local experiences and observations; and to determine the risks to coastal properties and infrastructure, selected sites were extensively assessed. Primary data were collected and analysed to: 1. assess the vulnerability of the livelihoods of community residents in the Abacos and the surrounding Cays to climate change; and 2. project sea level rise and storm surge impacts on beaches on the island of Eleuthera and Harbour Island. The sites were selected by national stakeholders and represent areas of the country which are important to the tourism sector and the economy as a whole, and are already experiencing adverse impacts from climate-related events. Vulnerable community livelihoods Vulnerable coastlines Tourism is the mainstay of the local economy in the Abacos. The settlements in Abaco are typically located in very low-lying coastal areas. In many areas, development has taken place on reclaimed marshland making them vulnerable to flooding heavy or persistent rainfall. The large population of second home owners may mean that some adaptation interventions should be considered on a sub-community scale. 1 m SLR places 36% of the major tourism properties at risk, along with 38% of airports, 14% of road networks and 90% of sea ports. With 2 m SLR, 50% of major tourism resorts will be impacted. The Bahamas tourism sector specifically can expect annual losses of between US $869 million and US $946 million as a result of SLR alone. 50 m of erosion will put 58% of the major tourism resorts and 80% of sea turtle nesting sites at risk. Climate change effects are evident in the decline of some coastal tourism resources, but also in the socioeconomic sectors which support tourism, such as agriculture, water resources, health and biodiversity. xvii Climate Change Projections for The Bahamas The projections of temperature, precipitation, sea surface temperatures; and tropical storms and hurricanes for the Bahamas are indicated in Box 1 and have been used in making expert judgements on the impacts on various socio-economic sectors and natural systems, and their further implications for the tourism industry. Stakeholders consulted in the CCCRA have shared their experiences and understanding about climaterelated events, and this was generally consistent with observational data. Box 1: Climate Modelling Projections for The Bahamas Temperature: Regional Climate Model (RCM) projections indicate an increase spanning 2.7 - 2.8˚C by the 2080s under the higher emissions scenario. Precipitation: General Circulation Model (GCM) projections of rainfall span both overall increases and decreases, ranging from of -30 mm and + 21 mm per month by 2080 under the high emissions scenario. Most projections tend toward decreases. The RCM projections, driven by HadCM3 boundary conditions, indicate larger decreases in annual rainfall (-7%) when compared to simulations based on ECHAM4 (-5%). Sea Surface Temperatures (SST): GCM projections indicate increases in SST throughout the year. Projected increases range from +0.9˚C and +2.7˚C by the 2080s across all three emissions scenarios. Tropical Storms and Hurricanes: North Atlantic hurricanes and tropical storms appear to have increased in intensity over the last 30 years. Observed and projected increases in SSTs indicate potential for continuing increases in hurricane activity and model projections indicate that this may occur through increases in intensity of events but not necessarily through increases in frequency of storms. Sea Level Rise and Storm Surge Impacts on Coastal Infrastructure and Settlements The majority of infrastructure and settlements in The Bahamas, like most SIDS, are located on, or near the coast, including government, health, commercial and transportation facilities. The high-density tourism development on the coast is particularly vulnerable to climate change and SLR and increases the risk of degradation of coastal and marine biodiversity thereby reducing its resilience to climate change impacts such as SLR and storm surge. Figure 1: Beach Erosion along Cabbage Beach Source: The Tribune, 2010 The CARIBSAVE Partnership coordinated a field research team with members from the University of Waterloo (Canada) and the staff from the Bahamas Meteorological Service to complete detailed coastal profile surveying on the island of Eleuthera and Harbour Island. xviii Results of these surveys indicate that 1 m SLR places 36% of the major tourism properties at risk, along with 38% of airport lands, 14% of road networks and 90% of seaport lands. With 2 m SLR, 50% of major tourism resorts will be impacted. Critical beach assets will be affected much earlier than SLR induced erosion damages to infrastructure; indeed, once erosion is damaging infrastructure, it means the beach, a vital tourism asset, has essentially disappeared. Figure 2: High Resolution Coastal Profile Surveying with Finally, with 100 m of erosion (resulting from GPS approx. 1 m SLR), 70% of the major tourism resorts will be impacted and 80% of sea turtle nesting sites will be impacted (see Table 1 and Figure 3). Table 1: Impacts associated with 1 m and 2 m SLR and 50 m and 100 m beach erosion in The Bahamas Tourism Attractions SLR Erosion Transportation Infrastructure Major Tourism Resorts Sea Turtle Nesting Sites Airport Lands Road Networks Seaport Lands 1.0 m 36% 35% 38% 14% 90% 2.0 m 50% 37% 53% 19% 90% 50 m 58% 80% - - - 100 m 70% 80% - - - This study revealed the geographic areas that will be impacted by SLR (see Figure), but the actual costs associated with this inundation need to be assessed. An earlier study by Simpson et al., (2010) calculated annual and capital costs of SLR in CARICOM countriesi. In a mid-range SLR scenario, by the year 2050 annual costs will be US $3.9 billion and capital costs US $26 billionv. The Bahamas tourism sector specifically can expect annual losses of between US $869 million and US $946 million as a result of SLR alonev. As the CCCRA reveals, projected impacts from climate change involve much more than SLR impacts and therefore losses to national economies will also be greater than the figures mentioned. The impacts will be three-fold: loss of land and its physical functionality, loss of economic value of existing businesses and settlements and the spill-over impacts that lost coastal activities/industries will have in other sectors, for example changes in agriculture and energy demand or fluctuations in employment in construction. i Simpson, M., Scott, D., Harrison, M., Silver, N., O’Keeffe, E., Harrison, S., et al. (2010). Quantification and Magnitude of Losses and Damages Resulting from the Impacts of Climate Change: Modelling the Transformational Impacts and Costs of Sea Level Rise in the Caribbean. Barbados: United Nations Development Programme (UNDP). xix Figure 3: SLR Vulnerability and impacts in two zones of the east coast of Harbour Island This SLR work provides The Bahamas with newly available higher resolution geospatial data of coastal areas and a quantification of the extent of SLR and storm surge impacts projected for the islands. Due to the time scales required to remove greenhouse gases (GHG) from the atmosphere and the thermal inertia of the oceans, the effects of previous emissions will ensure that climate change impacts will persist for more than a millenniumii. It is therefore vital not only to recognise the vulnerabilities to current SLR and SLR-induced erosion, but to also anticipate and prepare for future SLR implications. This study therefore reinforces that serious, comprehensive and urgent action that addresses the challenges of adapting to SLR is needed in The Bahamas. One priority area is to build a full inventory of existing coastal protective defences so that structural protection can be optimised now and into the future, for example, existing seawalls that are in disrepair do not serve their anticipated erosion protection purpose. Only when the current conditions are known can adaptation planning begin in earnest. Community Livelihoods, Gender, Poverty and Development More than 50 residents and workers from the Abaco Islands participated in CARIBSAVE’s vulnerability assessment which included a vulnerability mapping exercise, focus-groups and household surveys based on a livelihoods framework. This research provided an understanding of: how the main tourism related activities, including fishing, vending and other micro and medium sized commercial activities located along ii IPCC. (2007a): Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Solomon, S., D. Qin, M. Manning, Z. Chen, M. Marquis, K. B. Averyt, M. Tignor and H. L. Miller, (eds.), Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA. IPCC. (2007b). Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Parry, M. L., O. F. Canziani, J. P. Palutikof, P. J. van der Linden and C. E. Hanson, (eds.), Cambridge University Press, Cambridge, UK, pp. 7-22. xx the coast and have been affected by climate related events; the community’s adaptive capacity and the complex factors that influence their livelihood choices; and the differences in the vulnerability of men and women. The settlements in Abaco are typically located in coastal areas. This settlement pattern in combination with the low-lying topography and extended coastline places these communities at greater risk from the natural hazards common to the rest of the Caribbean, (i.e. storm surge, storm water run-off challenges and the propensity for ponding)iii. Community Characteristics and Experiences The population of the Abacos is swollen in winter months by second home owners. Key livelihood activities for residents are fishing, farming, direct tourism (marinas, small resorts) and craft-making, all of which are being impacted to some degree by climate-related events and climate change. Figure 4: Vulnerability mapping The area of Dundus Town and Murphy Town sits within a natural drainage course and as a result, floods very easily. Due to the large population in Abaco, such impacts have detrimental effects on many Bahamians and greater understanding of their vulnerability can enhance their livelihood sustainability. There is extensive farmland in the north of Abaco island (about 3,700 acres), just south of Treasure Cay Airport and in the south between Marsh Harbour and Cherokee Sound and 25% of female respondents noted that the use of agricultural land was very important to their subsistence. To irrigate these agricultural lands in female headed households, 40% depend on rain water and the other 60% depend on manual irrigation. Therefore drought and water shortages have direct impacts on food security in Abaco. A number of areas have been impacted by storms. These areas include Hope Town where previous experiences with storms that devastated the community resulted in the establishment of building and development protocols. Many community residents reported experiences with/observations of climate change impacts. Fisher folk have noted changes in fish stocks in recent years, with a general decline, particularly in the near shore fishery. Since 32% and 20% of participants in the research indicated that the sea and agricultural land, respectively, were very important for their subsistence, these changes in resource quality and quantity as a result of climate change will have serious implications for livelihoods. Coral bleaching. Decimation of citrus crops from disease. Sea level rise. The Abaco fishing industry is male-dominated. Therefore if this industry is heavily impacted by climate change, this has further implications for the welfare of households headed by fishermen. However, fishermen usually engage in other sources of employment (e.g. construction) because fishing is seasonal. iii Environmental Solutions. (2005). Commonwealth of The Bahamas National Hurricane Response 2004: Report on Findings. Jamaica: Kingston: United Nations Development Programme xxi Similarly, since tourism in The Bahamas is heavily dependent on the health of natural resources available such as beaches, good weather, clear water and vibrant ecosystems, any impact on these resources will affect women who are more heavily employed in the sector. Agriculture and Food Security Agriculture’s contribution to The Bahamas Gross Domestic Product (GDP) has been minimal over the past decade and the country depends almost entirely on imports to feed Bahamians and tourists. The annual food import bill is nearly US $500 million, suggesting a serious threat to agriculture development and food security (see Table 2). The majority of cultivation that does occur takes place on the Family Islands, which have limited access to markets. Moreover, The Bahamas is very familiar with the losses that climate-related disasters can cause given their location in the Atlantic Hurricane Belt. Tropical storms and hurricanes have directly damaged crops, seedbeds, livestock and related agricultural infrastructure. To improve food security, it is recommended that an assessment of options for the expansion of local agricultural production and the reduction of food imports be conducted. A fundamental solution to the high food prices and high level of food imports in The Bahamas is to increase local food production and consumption. Prime Minister of The Bahamas, Mr. Hubert Ingraham, in his March 2011 address to the Third National Agribusiness Expo, acknowledged the importance of encouraging urban households to take greater responsibility for their food choices. With greater household food production, larger scale, local agriculture can be offered to the tourism industry at better prices than imported food. This will enable the Bahamas tourism sector to maintain some of its price competitiveness in the future. Table 2: Imports by Commodity Group 1999 and 2003 ‐ 2007 (B $'000) Period Catfish Fish and Crustaceans Fruits and Vegetables Aragonite Rum Crude Salt Chemicals Others Total 1999 71,586 3,677 10,273 389 30,957 13,579 11,219 50,664 194,160 2003 106,381 1,773 2,000 478 22,024 13,636 49 111,582 264,115 2004 86,107 1,285 1,369 80 31,344 12,457 0 107,585 240,227 2005 74,498 3,531 926 52 16,843 14,805 0 160,19 270,849 2006 89,906 4,242 1,233 38,115 9,393 12,044 15,019 172,759 343,551 2007 81,371 1,865 1,198 35,577 20,282 6,600 84,562 147,289 379,090 (Adapted from FAO Report on Rapid Assessment of the Agriculture Sector in The Bahamas, 2010) Additional concerns for agriculture in the Bahamas include the aging farming population and a scarcity of youth showing interest in pursuing farming as a career. The Bahamas experiences a high rural-urban migration that further threatens sustainable agricultural development across the island chain. Efforts to encourage youth involvement in adaptive agriculture by harnessing their knowledge and affinity for new technologies to support sustainable farming will be important to successful growth of domestic production. One aspect of this kind of project is the revision and revival of the agriculture curriculum in schools and introduction of modules that show students how to use Geographic Information Systems (GIS), Global Positioning Systems (GPS) and Remote Sensing to provide solutions to agriculture. Use of technology will become increasingly important to agriculture production as the climate changes, rainfall becomes less reliable in some seasons and mean annual temperatures increase. xxii Energy and Tourism Tourism is an increasingly significant sector in energy use and emissions of greenhouse gases in the Caribbean. Current tourism related energy use and associated emissions are estimated to be 36% of The Bahamas national emissions, excluding emissions from fuel used to fly tourists to The Bahamas. The major direct consumers of energy emissions in The Bahamian tourism sector are aviation (62%), cruise ships (13%) and accommodation (7%). As a service-based economy, The Bahamas is becoming increasingly energy intensive at a projected rate of 8% per year in the period 2008-2013. Regular energy audits are recommended to promote energy efficiency across all sectors, but especially in tourism because of its high volume consumption. Oil imports for local consumption are estimated to have exceeded US $1 billion in 2008, which corresponds to about 0.943 Mt of oil or emissions of roughly 3 Mt CO2 in 2009iv. In order to ensure that fuel imports are maintained at an affordable and sustainable level demand side management, technological innovation and politics that allow restructuring of the tourism systems will be needed. The anticipation of continued rising oil prices, as well as international emissions reduction polices, will make both the tourism sector and the wider economy of The Bahamas highly vulnerable. While the Government of The Bahamas is aware of its strong dependence on fossil fuels, the current Electricity Act does not facilitate the use of renewable sources to meet its energy demand. Moreover, there are currently no renewable energy plans in The Bahamas. As such, the legal and regulatory framework will require revision if any significant investment in renewable energy is to be encouraged. Carbon pricing is the most efficient tool to stimulate behaviour change and change in production, thus while it will be difficult at first, such a price structure will encourage the creation of a more sustainable energy sector; and by extension, a more sustainable tourism sector in the Bahamas. Water Quality and Availability The Bahamas is reliant on rainfall as the sole source of freshwater in the country. Freshwater is scarce, at 66 m3 per capita per year, ranking The Bahamas 177 out of 180 countries with respect to water availability. Water supply is provided by Government- and privately owned wells, as well as local reverse osmosis plants. Although availability and dispersal of water resources presents many challenges because of the geographic spread of The Bahamas, data suggests there is currently no net shortage of freshwater resources. However, to meet water demands across all the islands some innovative distribution practices are in place. Barges from Andros Island ship potable water to New Providence and Grand Bahama, where the majority of the population and tourists reside. Given that climate models project annual decreases in rainfall across the islands and that salt water intrusion is an identified threat in all islands, such practices may become increasingly impractical from a financial perspective, much like the food importation challenges and also as a result of further reductions in water supply. The shallow freshwater aquifer lenses in The Bahamas are highly vulnerable to numerous factors, including: contamination from anthropogenic pollution (e.g. septic tanks, leachates from landfills, release of industrial waste); saline intrusion from SLR; iv NEPC. (2008). The Bahamas National Energy Policy - November 2008. Nassau: Government of Bahamas, National Energy Policy Committee. xxiii storm surges; and flooding. Tourism is also increasing water vulnerability in The Bahamas through its increased groundwater abstraction and increased generation of sewage. While The Bahamas is well advanced in planning adaptation measures for water resources under climate change, the geographic spread of the islands makes the implementation of these measures highly challenging. There are also few methods in place to encourage the efficient use of water or the use of water recycling schemes. In the National Report on the Implementation of the United Nations Convention to Combat Desertification, the Government recommended establishing prediction models for SLR and coastal impacts. This recommendation requires the implementation of computer modelling of groundwater flows and also demands better monitoring of abstraction through licensing of private wells that currently lack sufficient regulation (Spencer et al., 2010). Given the current water use trends in the Bahamas these tools are imperative to climate change adaptation. Comprehensive Natural Disaster Management The dispersed population makes the management of emergency situations challenging in The Bahamas. The low-lying cays place much of the population at risk to flooding, SLR, storm surge and even tsunamis since there is limited safe, higher ground. These characteristics make The Bahamas highly vulnerable, with a strong potential for situations to become disastrous, especially as not all islands in the chain have full access to the resources and supplies required to respond to disasters. The development of facilities and trained personnel on each island is recommended as a means to build capacity at the institutional level but also improved awareness of the links between disasters and climate change will be required at the community level. Figure 5: Beach erosion exacerbated by the invasive Casuarina tree (Source: Neil Sealey, 2006) The Bahamas has made efforts to build risk reduction into their policies and plans while also strengthening their capacity to respond to disasters. Though some progress has been made, the cancellation of the Natural Risks Preventive Management Program is one indication that the National Emergency Management Agency (NEMA) is still primarily working on disaster response, rather than focusing on preparedness and prevention. In 2004, The Bahamas was hit with 3 tropical storms and 2 major hurricanes in close succession. The storm surge heights and major flooding on multiple islands demonstrated how quickly communities could be isolated and disabled. The economic impacts from these events were much longer lasting. Thousands of Bahamians were also left without work, as major tourism resorts closed for repairs. Despite the existence of an emergency management system, it is recommended that efforts be made to ‘build back better’ xxiv following disasters through definitive actions to understand the vulnerabilities that created the disaster in the first place. Improvements to the enforcement of environmental and urban planning regulations are also needed to ensure vulnerabilities do not progress further. The Bahamas needs a policy for coastal protection and environmental buffer zones, including an official environmental impact assessment (EIA) mechanism so that Bahamians are protected from storm surge impacts but also so that future developments are built with an understanding of the projected changes to the coastal zone. The Bahamas Environment Science and Technology Commission (BEST) has created EIA Guidelines but they are yet to be enacted. Human Health Climate change has both direct and indirect links to human health. Diseases can be contracted by tourists visiting The Bahamas or they can be transferred to Bahamians from visitors. Disease transfer and mortality rates resulting from injuries sustained during natural disasters are one important direct impact to consider when assessing the vulnerability of a country to climate change. Storm surges, high winds, intense rainfall and resultant flooding can all threaten the safety and health of Bahamians. Mental disorders (e.g. posttraumatic stress) may also result from extreme events and property loss/damage. As a result, joint efforts between the Ministry of Health and NEMA are recommended to curb post-disaster disease outbreaks in both the local population and among tourists. This research also revealed the need for public health education programmes on climate-related diseases and health and sanitation promotion within communities throughout The Bahamas. Specifically, the incidence of tropical diseases is projected to rise due to changes in temperature over The Bahamas. SLR can also increase the risks of vector-borne diseases such as malaria and dengue fever, because rising sea levels has the potential to increase the size of wetland areas, subsequently increasing the number of suitable habitats for mosquito breeding. Additionally, there are important links between a well maintained Figure 6: Caribbean Pine Forest, Abaco Island water supply system and public health. Water supply disruptions combined with poor water quality can give rise to sanitation problems, creating conditions suitable for disease transmission including food-borne diseases such as cholera, salmonellosis, listeriosis and e-coli. For this reason, the use of a disease early warning system can assist in early detection of these diseases. Since this kind of system is dependent on individuals understanding the signs and risk factors for specific diseases of concern, an awareness building campaign is recommended in conjunction with the warning system. Health and climate change policy efforts are evident in The Bahamas. The Government has devised a National Policy for Adaptation to Climate Change, making direct reference to health concerns. Furthermore, The Bahamas outlined a National Health Strategic Plan (2010 - 2020) that also addresses climate change concerns. The Agricultural Sectoral Plan for The Bahamas also establishes the link between health, nutrition and education and climate change. However, there has been an absence of a formal evaluation process, as well as an inefficient utilisation of the established institutional capacity in The Bahamas. Better epidemiological monitoring and an integrated vector monitoring programme (such as the xxv one designed by the WHO) will be integral to the Bahamas successful preparation and adaptation to the impacts of climate change on human health. Marine and Terrestrial Biodiversity and Fisheries It has been estimated that only 5% of the species found in The Bahamas have been described, but this 5% nevertheless represents 1,100 species of flora and 375 species of fauna. The Bahamian biodiversity is of global importance, with the islands and cays providing refuge to many endangered species, home to the world’s third longest barrier reef system (Andros island) and one of the largest underwater cave systems in the world (Lucaycan Caverns). These environmental assets, with the white sand beaches and clear waters, are critical to the economy of The Bahamas and the sustainability of the tourism industry that attracts millions of people. The need to protect these eco-systems is two-fold: they attract tourists and they offer natural coastal protection. Further natural coastal protection for the Bahamas should include, for example, the removal of invasive casuarina trees and replanting of deep rooted sea grape and almond trees. Moreover, the marine eco-system is critical for the sustainability of rural livelihoods and the islands’ food security, with The Bahamas fisheries sector contributing 3% to GDP and employing 9,300 fishers in rural communities. The promotion of stewardship through cooperative marine protected areas (MPA) is recommended because these management interventions increase the resilience of coastal eco-systems to the impacts of climate change and also address the identified problem of decreasing fish stocks around The Bahamas. Figure 7: Map showing existing Marine Parks and Proposed Marine Reserve Areas (Source: Department of Marine Resources, 2007) xxvi A strategy should be devised and implemented which will: establish a more effective fish sanctuary management and enforcement system for coastal communities; enhance the capacity of resource managers and users to be more resilient to climate change; and establish a sustainable finance mechanism for supporting fish sanctuary management. The strategy should increase the involvement of the tourism sector in supporting community-based MPAs, as well as provide opportunities for alternative livelihoods and technologies for public education. The Government of The Bahamas, in collaboration with other agencies, have developed policies and begun to implement strategies towards monitoring and building the resilience of its biodiversity to climate change impacts, such as the National Climate Change Policy. It is essential that these policies are put into action quickly, as SLR, high SSTs and increased storm intensity are projected to accelerate damages to valuable natural resources and eco-system services. The country’s experience in managing its National Park systems (see Figure 7v) and its commitment to increasing protected areas puts The Bahamas in a position to serve as a model to assist other islands in the region to build climate change resilience. Conclusion The Bahamas have a history of damages and losses from natural disasters. Given current capacities and climate change impacts and projections, preparedness for disasters and climate change adaptation become inextricably linked. It is evident that the Government and the people of The Bahamas are broadly aware of climate change, however resource users with little or no awareness of alternative courses of action continue to degrade or over-extract from marine and terrestrial eco-systems and resources, making themselves and their environment, more vulnerable. Knowing the specific challenges facing communities in The Bahamas, such as decreasing fish stocks, uncertain water availability and natural hazards, efforts to reduce negative impacts can be promoted. The CCCRA explored recent and future changes in climate in The Bahamas using a combination of observations and climate model projections. Despite the limitations that exist with regards to climate modelling and the attribution of present conditions to climate change, this information provides very useful indications of the likely changes in climate characteristics and impacts on socio-economic sectors. Consequently, decision makers should adopt a precautionary approach and ensure that measures are taken now to increase the resilience of economies, businesses and communities to climate related hazards. It is clear that the Government of The Bahamas is committed to adapting to climate change, as evidenced by some policy responses, current practices and planned actions; as well as the recognition of the importance of The Bahamas’ natural resources to livelihoods and the economy. However, serious financial resource shortages along with limited technical capacities hinder successful adaptation efforts across most government ministries and other stakeholder groups. Enforcement of laws to protect biodiversity and the environment remain a challenge. Given these limitations and the severity of the impacts being experienced now and those projected, it will become increasingly important that individuals have the capacity and evidence based tools to make v Department of Marine Resources. (2005). The Government of The Bahamas: Department of Marine Resources. Frequently asked questions. Retrieved 14/2/2011 from www.bahamas.gov.bs xxvii decisions and adapt to the changing climate. As many of the sectors have recommended, improving community awareness and education will provide individuals with the necessary information about their particular vulnerability and risks, specific to their region and thus empower them to take action to build their own resilience. New technologies used in the CCCRA offer improved access and availability of valuable decision making data that can assist the Government of The Bahamas to justify how and where to invest in future climate change adaptation. Finally, while climate change adaptation does have an associated cost, the cost of inaction is now identified to be much greater, particularly in highly tourism reliant economies, such as The Bahamas. New evidence provided by the progressive research of the CCCRA climate modelling, community vulnerability assessments and SLR work offers public and private sector stakeholders strong evidence to support immediate and continued learning and action. xxviii 1. GLOBAL AND REGIONAL CONTEXT The Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4), published in 2007, provides undisputable evidence that human activities are the major reason for the rise in greenhouse gas emissions and changes in the global climate system (IPCC, 2007a). Climate change will affect ecosystem services in ways that increase vulnerabilities with regard to food security, water supply, natural disasters, as well as human health. Notably, climate change is ongoing, with “observational evidence from all continents and oceans … that many natural systems are being affected by regional climate changes, particularly temperature increases” (IPCC, 2007b: 8). Observed and projected climate change will in turn affect socioeconomic development (Global Humanitarian Forum, 2009; Stern, 2006), with some 300,000 deaths per year currently being attributed to climate change (Global Humanitarian Forum, 2009). Mitigation (to reduce the speed at which the global climate changes) as well as adaptation (to cope with changes that are inevitable) are thus of great importance (Parry et al., 2009). The IPCC (2007a: 5) notes that “warming of the climate system is unequivocal, as it is now evident from observations of increases in global average air and ocean temperatures, widespread melting of snow and ice and rising global average sea level”. Climate change has started to affect many natural systems, including hydrological systems (increased runoff and earlier spring peak discharge, warming of lakes and rivers affecting thermal structure and water quality), terrestrial ecosystems (earlier spring events including leaf-unfolding, bird migration and egg-laying, biodiversity decline, and pole ward and upward shifts in the ranges of plants and animal species), as well as marine systems (rising water temperatures, changes in ice cover, salinity, acidification, oxygen levels and circulation, affecting shifts in the ranges and changes of algae, plankton and fish abundance). The IPCC (2007b) also notes that small islands are particularly vulnerable to the effects of climate change, including sea-level rise and extreme events. Deterioration in coastal conditions is expected to affect fisheries and tourism, with sea-level rise being “expected to exacerbate inundation, storm surge, erosion and other coastal hazards, threatening vital infrastructure, settlements and facilities that support the livelihood of island communities” (IPCC, 2007b: 15). Climate change is projected to reduce water resources in the Caribbean to a point where these become insufficient to meet demand, at least in periods with low rainfalls (IPCC, 2007b). Together, these changes are projected to severely affect socio-economic development and well-being in the world (Stern, 2006), with the number of climate change related deaths expected to rise to 500,000 per year globally by 2020 (Global Humanitarian Forum, 2009). However, not all regions are equally vulnerable to climate change. The Caribbean needs to be seen as one of the most vulnerable regions, due to their relative affectedness by climate change, but also in terms of their capacity to adapt (Bueno et al., 2008). This should be seen in the light of Dulal et al.’s (2009: 371) conclusion that: If the Caribbean countries fail to adapt, they are likely to take direct and substantial economic hits to their most important industry sectors such as tourism, which depends on the attractiveness of their natural coastal environments, and agriculture (including fisheries), which are highly climate sensitive sectors. By no incidence, these two sectors are the highest contributors to employment in the majority of these countries and significant losses or economic downturn attendant to inability to adapt to climate change will not increase unemployment but have potentially debilitating social and cultural consequences to communities. Climate change has, since the publication of the Intergovernmental Panel on Climate Change’s 4 th Assessment Report (IPCC 2007b), been high on the global political agenda. The most recent UN Conference 1 of Parties (COP) in Mexico in December 2010 agreed that increases in temperature should be stabilised at a maximum of 2°C by 2100. Notably, the 39 member states of the Alliance of Small Island States have called in a recent Declaration to the United Nations for a new climate change agreement that would ensure global warming to be kept at a maximum of 1.5°C (AOSIS, 2009). So far, the European Union is the only region in the world with a legally binding target for emission reductions, imposed on the largest polluters. Some individual countries are taking action, such as the Australian Government’s comprehensive long-term plan for tackling climate change and securing a clean energy future. The plan outlines the existing policies already underway to address climate change and cut carbon pollution and introduces several critical new initiatives and has four pillars: a carbon price; renewable energy; energy efficiency; and action on land. As a group, AOSIS member states account for less than 1% of global greenhouse gas emissions (UN-OHRLLS, 2009). However, according to a recent report of the IPCC the projected impacts of global climate change on the Caribbean region are expected to be devastating (IPCC, 2007c). An analysis of the vulnerability of CARICOM nations to SLR and associated storm surge by The CARIBSAVE Partnership in 2010 found that large areas of the Caribbean coast are highly susceptible to erosion, and beaches have experienced accelerated erosion in recent decades. It is estimated that with a 1 m SLR and a conservative estimate of associated erosion, 49% of the major tourism resorts in CARICOM countries would be damaged or destroyed. Erosion associated with a 2 m SLR (or a high estimate for a 1 m SLR), would result in an additional 106 resorts (or 60% of the region’s coastal resorts) being at risk. Importantly, the beach assets so critical to tourism would be affected much earlier than the erosion damages to tourism infrastructure, affecting property values and the competitiveness of many destinations. Beach nesting sites for sea turtles were also at significant risk to beach erosion associated with SLR, with 51% significantly affected by erosion from 1 m SLR and 62% by erosion associated with 2 m SLR (Simpson et al. 2010). In real terms, the threats posed to the region’s development prospects are severe and it is now accepted that adaptation will require a sizeable and sustained investment of resources. Over the last decade alone, damages from intense climatic conditions have cost the region in excess of half a trillion US dollars (CCCCC, 2009). 2 1.1. Climate change impacts on tourism Direct and indirect climatic impacts: The Caribbean’s tourism resources, the primary one being the climate itself, are all climate sensitive. When beaches and other natural resources undergo negatives changes as a result of climate and meteorological events, this can affect the appeal of a destination – particularly if these systems are slow to recover. Further, studies indicate that a shift of attractive climatic conditions for tourism towards higher latitudes and altitudes is very likely as a result of climate change. Projected increases in the frequency or magnitude of certain weather and climate extremes (e.g., heat waves, droughts, floods, tropical cyclones) as a result of projected climate change will affect the tourism industry through increased infrastructure damage, additional emergency preparedness requirements, higher operating expenses (e.g., insurance, backup water and power systems, and evacuations), and business interruptions (Simpson et al., 2008). In contrast to the varied impacts of a changed climate on tourism, the indirect effects of climate-induced environmental change are likely to be largely negative. Impacts of mitigation policies on tourist mobility: Scientifically, there is general consensus that ‘serious’ climate policy will be paramount in the transformation of tourism towards becoming climatically sustainable, as significant technological innovation and behavioural change demand strong regulatory environments (e.g. Barr et al. 2010, Bows et al. 2009, Hickman and Banister 2007; see also Giddens 2009). As outlined by Scott et al. (2010), “serious” would include the endorsement of national and international mitigation policies by tourism stakeholders, a global closed emission trading scheme for aviation and shipping, the introduction of significant and constantly rising carbon taxes on fossil fuels, incentives for lowcarbon technologies and transport infrastructure, and, ultimately, the development of a vision for a fundamentally different global tourism economy. The Caribbean is likely to be a casualty of international mitigation policies that discourage long-haul travel. Pentelow and Scott (2010) concluded that a combination of low carbon price and low oil price would have very little impact on arrivals growth to the Caribbean region through to 2020, with arrivals 1.28% to 1.84% lower than in the business as usual (BAU) scenario (the range attributed to the price elasticities chosen). The impact of a high carbon price and high oil price scenario was more substantive, with arrivals 2.97% to 4.29% lower than the 2020 BAU scenario depending on the price elasticity value used. The study concluded: It is important to emphasize that the number of arrivals to the region would still be projected to grow from between 19.7 million to 19.9 million in 2010 to a range of 30.1 million to 31.0 million in 2020 (Pentelow and Scott 2010). Indirect societal change impacts: Climate change is believed to pose a risk to future economic growth of some nations, particularly for those where losses and damages are comparable to a country’s GDP. This could reduce the means and incentive for long-haul travel and have negative implications for anticipated future growth in this sector in the Caribbean. Climate change associated security risks have been identified in a number of regions where tourism is highly important to local-national economies (e.g., Stern, 2006; Barnett and Adger, 2007; German Advisory Council, 2007; Simpson et al., 2008). International tourists are averse to political instability and social unrest, and negative tourism-demand repercussions for climate change security hotspots, many of which are believed to be in developing nations, are already evident (Hall et al., 2004). 3 2. NATIONAL CIRCUMSTANCES 2.1. Geography and climate The Bahamas archipelago is made up of over 700 islands and over 2000 rocks and cays extending approximately 650 miles from Florida to Cuba. The country covers a total area of 321,159 km2, but only 13,939 km2 or 4% is land. The islands are long, flat coral formations with some low rounded hills and extensive wetlands. The highest point is Mount Alvernia on Cat Island at 63 m. There are only 22 inhabited islands with nearly 70% of the population, which stood at 353,658 in the 2010 census (Bahamas Department of Statistics, 2010a), residing on New Providence Island, where the capital city of Nassau is located. Freeport in Grand Bahama Island is the second major population centre, with just under 9% of total population. The other islands are collectively referred to as the “Family Islands” (NCCC-BEST, 2005). There are no rivers, but a number of tidal creeks, wetlands and mangrove forests. The Bahamas’ coastal, marine and deep waters comprise more than 96% of the country’s total area. The Bahamas has a rich marine and terrestrial biological diversity, though a large portion of the country remains unexplored, as only approximately 5% of all species present in the country have been identified to date (Government of The Bahamas, 2004). Five percent of the world's coral and the third longest barrier reef can be found in the waters of The Bahamas. The country’s isolation and extensive shelf with productive coral reefs and other habitats, plus a large area of coastal wetlands, especially mangrove forests, contribute to its abundance and diversity of migratory fish and mammal species, awarding The Bahamas the greatest marine biodiversity in the Caribbean (BEST, 2001; Government of The Bahamas, 2004). The Bahamas has some highly productive fishing grounds with commercial fishing generating about $70 million1 a year, and exports of spiny lobster alone contributing just over 2% of GDP (NCCC-BEST, 2005). Historically large expanses of land on all of the major inhabited islands were subsistence farmed. Once land was farmed for a few years it became exhausted and farmers cleared new acreage for planting. Some of these ventures were successful but eventually succumbed because of soil depletion. The soils of The Bahamas are now very thin, calcareous, fragile, have low fertility and are prone to drought. Large-scale mechanised crop production is now carried out mainly in Abaco, Andros and Grand Bahama (NCCC-BEST, 2005). The natural vegetation is Caribbean pine forest in the four northern islands, and broadleaf hardwood coppice woodland in the south-eastern islands. The Bahamas’ climate is sub-tropical marine climate with an average annual temperature of 25.3°C, average annual sunshine hours of 5.6 hours, average rainfall of 99.3 mm per month and average annual humidity of 78%. Most of the island’s rainfall is recorded during the “wet season”, May to October (typically 152.4 mm per month) with the dry season between November and April (typically 51 mm per month). Northern islands receive 20% more rain than Nassau, and southern islands 50% less. Mean wind speed is of the order of 6.5 m/s (Bahamas Meteorological Department, 2011). The rainy season corresponds with the Tropical Atlantic Hurricane Season, where Caribbean countries are affected by a range of low-pressure and hurricane events roughly between June and November each year. Heavy rain during this season often causes flooding, and storm surges and hurricane-force winds can cause extensive damage to property and to the landscape. Recent hurricanes that have impacted The Bahamas since 1990 are: Andrew in 1992 1 The specific currency is not given in the reference. The Bahamian dollar is tied to the US dollar 1:1. 4 (Category 4), Bertha in 1996 (Category 1), Lili in 1996 (Category 4), Floyd in 1999 (Category 4) and Michelle in 2001 (Category 1) (NCCC-BEST, 2005). 2.2. Socio-economic profile In 2009, The Bahamas was the wealthiest country in the Caribbean and Latin America based on per capita GDP, according to the Statistical Yearbook prepared by ECLAC (ECLAC, 2010a). It should be noted that the data presented does not include the British overseas territories of Turks and Caicos, Cayman Islands and British Virgin Islands, who had greater per capita wealth in 2006 (CDB, 2006). The Bahamian economy is heavily dependent on United States tourism (Value added represents about 40% of GDP in 2009) (ECLAC, 2010b) and the financial services sector (37% of GDP from financial institutions, insurance, real estate and business services in 2009) (ECLAC, 2010c). Table 2.2.1 shows that the country’s GDP increased by 15% between 2000 and 2007 before declining in 2008 and 2009. Table 2.2.1: Gross Domestic Product for Bahamas, 2000 - 2009 YEAR 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 GDP at constant 2006 prices (Bs$ million) 6,205 6,166 6,302 6,345 6,445 6,770 7,004 7,139 7,018 6,718 (Source: ECLAC, 2010c) The economy has remained relatively stable, but given the high dependence on the US it has suffered significantly from the global recession. The economy declined by about 4% between 2009 and 2010 due to the global downturn. Tourism contracted sharply and construction activity weakened as foreign direct investments fell (RLB, 2010). The population of The Bahamas stood at approximately 346,900 in the middle of 2010 with a 2009 growth rate of 0.81%. Females comprise a slightly larger percentage (approximately 52%) of the population (Bahamas Department of Statistics, 2010b). The unemployment rate stood at 8% in 2008, with more women unemployed than their male counterparts (9% and 7% respectively), (Bahamas Department of Statistics, 2008a). In the same year the government employed just 18% of the labour force with 69% employed by private companies (Bahamas Department of Statistics, 2008b). The slump in economic activity caused unemployment to spike from 8.7% in 2008 to 14.2% in 2009. As the recession deepened, job losses were experienced across a number of sectors, including hotel and restaurants, construction and wholesale and retail trade (ECLAC, 2010b). There is little history of political violence or instability in The Bahamas, although semi-violent labour union protests erupted in early 1999 over Government plans to downsize the phone company. In 2000 new and more strict financial regulations were enacted that led to many international businesses relocating elsewhere. Since then the sector remains stable, despite tax compliance pressure from the United States. After Hurricane Floyd, this sector was back to full strength in less than three working days and made a tremendous contribution to disaster relief efforts. 5 The Bahamian Government has continued to stimulate the economy through the following capital investments: dredging and expansion of the Nassau deep water harbour to expand capacity; expansion work at Lyndon Pindling International Airport; the development of the new National Sports Stadium; relocation of the commercial port facilities away from Bay Street to Arawak Cay; regeneration of the Bay Street and construction of the Nassau Straw Market; extension to the Sandilands Hospital and a planned new Princess Margaret Hospital (BCQS, 2010 and RLB, 2010). 2.3. Importance of tourism to the national economy Caribbean tourism is based on the natural environment, and the region’s countries are known primarily as beach destinations. The tourism product therefore depends on favourable weather conditions as well as on an attractive and healthy natural environment, particularly in the coastal zone. Both of these are threatened by climate change. The Caribbean is the most tourism-dependent region in the world with few options to develop alternative economic sectors and is one of the most vulnerable regions in the world to the impacts of climate change including SLR, coastal erosion, flooding, biodiversity loss and impacts on human health. Tourism has been and continues to be the major economic sector in The Bahamas, showing sustained growth over several decades, primarily in the cruise sector which accounts for the majority of tourists (71% in 2009). The number of stopovers during the period 1990 to 2009 has fluctuated around 1.5 million whereas the number of cruise ship passengers has grown by almost 76% in the same period. Total tourist expenditure increased by 67% in the period 1989 to 2007 (see Table 2.3.1 and Table 2.3.2). However, the global recession has taken its toll on visitor numbers in both 2009 and 2010. Table 2.3.1: Visitor Arrivals to Bahamas 1990 - 2009 Year Stopovers 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 1,561,665 1,427,035 1,398,895 1,488,680 1,516,035 1,598,135 1,633,105 1,617,595 1,527,707 1,577,066 1,543,959 1,537,780 1,513,151 1,510,169 1,561,312 1,608,153 1,654,210 1,524,442 1,463,006 1,326,973 Cruise Ship Passengers 1,853,897 2,019,964 2,140,510 2,038,798 1,805,607 1,543,495 1,685,668 1,751,140 1,729,894 1,981,471 2,512,626 2,551,673 2,802,112 2,970,174 3,360,012 3,078,709 3,076,397 2,970,659 2,861,140 3,255,780 (Source: ECLAC, 2010c) 6 Table 2.3.2: Estimated Tourist Expenditure (millions US $) Year 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 Stopover 1,205.9 1,209.9 1,082.0 1,132.0 1,199.2 1,231.1 1,245.4 1,291.5 1,307.4 1,244.4 1,463.6 1,579.7 1,494.8 1,602.5 1,595.3 1,693.5 1,883.9 1,881.2 2,020.8 Cruise 93.0 110.5 130.0 102.6 96.4 96.0 95.7 101.7 105.2 105.5 114.9 148.0 147.6 151.2 157.0 185.8 180.0 172.0 166.8 Day 10.6 12.5 10.4 8.9 8.6 7.0 5.0 4.2 3.5 4.1 4.4 6.8 5.3 6.0 5.0 5.2 5.0 4.1 4.1 All Visitors 1,309.5 1,332.9 1,222.4 1,243.6 1,304.2 1,334.1 1,346.2 1,397.5 1,416.1 1,354.1 1,582.9 1,734.5 1,647.7 1,759.8 1,757.4 1,884.5 2,068.9 2,057.4 2,191.7 (Source: MoT, 2009) Hotels, restaurants and wholesale and retail commerce contributed 16% of GDP in 2009 (ECLAC, 2010c), but, as stated above, tourism, when combined with other tourism-driven activities, accounts for approximately 40% of GDP. The combined grouping of hotels, restaurants, wholesale and retail commerce employed about 30% of the labour force in 2007 (Bahamas Department of Statistics, 2008c). Key markets for The Bahamas are the United States and Canada (80% and 8% of arrivals respectively) (CTO, 2010). 7 3. CLIMATE MODELLING 3.1. Introduction to Climate Modelling Results This summary of climate change information for The Bahamas is derived from a combination of recently observed climate data sources, and climate model projections of future scenarios using both a General Circulation Model (GCM) ensemble of 15 models and the Regional Climate Model (RCM), PRECIS. General Circulation Models (GCMs) provide global simulations of future climate under prescribed greenhouse gas scenarios. These models are proficient in simulating the large scale circulation patterns and seasonal cycles of the world’s climate, but operate at coarse spatial resolution (grid boxes are typically around 2.5 degrees latitude and longitude). This limited resolution hinders the ability for the model to represent the finer scale characteristics of a region’s topography, and many of the key climatic processes which determine its weather and climate characteristics. Over the Caribbean, this presents significant problems as most of the small islands are too small to feature as a land mass at GCM resolution. Regional Climate Models (RCMS) are often nested in GCMs to simulate the climate at a finer spatial scale over a small region of the world, acting to ‘downscale’ the GCM projections and provide a better physical representation of the local climate of that region. RCMs enable the investigation of climate changes at a sub-GCM-grid scale, as such changes in the dynamic climate processes at a community scale or tourist destination can be projected. For each of a number of climate variables (average temperature, average rainfall, average wind speed, relative humidity, sea-surface temperature, sunshine hours, extreme temperatures, and extreme rainfalls) the results of GCM multi-model projections under three emissions scenarios at the country scale, and RCM simulations from single model driven by two different GCMs for a single emissions scenario at the destination scale, are examined. Where available, observational data sources are drawn upon to identify changes that are already occurring in the climates at both the country and destination scale. In this study, RCM simulations from PRECIS, driven by two different GCMs (ECHAM4 and HadCM3) are used to look at projected climate for each country and at the community level. Combining the results of GCM and RCM experiments allows the use of high-resolution RCM projections in the context of the uncertainty margins that the 15-model GCM ensemble provides. The following projections are based on the IPCC standard ‘marker’ scenarios – A2 (a ‘high’ emissions scenario), A1B (a medium high scenario, where emissions increase rapidly in the earlier part of the century but then plateau in the second half) and B1 (a ‘low’ emissions scenario). Climate projections are examined under all three scenarios from the multi-model GCM ensemble, but at present, results from the regional models are only available for scenario A2. Table 3.1.1 outlines the time line on which various temperature thresholds are projected to be reached under the various scenarios according to the IPCC. 8 Table 3.1.1: Earliest and latest years respectively at which the threshold temperatures are exceeded in the 41 projections* SRES Scenario 1.5C Threshold Earliest Latest 2.0C Threshold Earliest Latest 2.5C Threshold Earliest Latest A1B 2023 2050 2038 2070 2053 Later than 2100 A2 2024 2043 2043 2060 2056 2077 B1 2027 2073 2049 Later than 2100 2068 Later than 2100 *NB: In some cases the threshold is not reached prior to 2100, the latest date for which the projections are available. The potential changes in hurricane and tropical storm frequency and intensity, sea-level rise (SLR), and storm surge incidence are also examined for the Caribbean region. For these variables, existing material in the literature is examined in order to assess the potential changes affecting the tourist destinations. 3.2. Temperature Observations from gridded temperature datasets indicate that mean annual temperatures over The Bahamas have increased at an average rate of 0.11˚C per decade. The observed increases have been most rapid in the seasons JJA and SON at rates of 0.13 and 0.15˚C per decade, respectively. General Circulation Model (GCM) projections from a 15-model ensemble indicate that The Bahamas can be expected to warm by 0.8 to 1.9˚C by the 2050s and 1.0-3.2˚C by the 2080s, relative to the 1970-1999 mean. Projected mean temperatures increase most rapidly in JJA and SON, and changes are similar throughout The Bahamas. Regional Climate Model (RCM) projections based on two driving GCMs project annual mean changes that are around the centre of the 15-member GCM ensemble (2.7 to 2.8˚C by the 2080s under scenario A2), and should therefore be interpreted in the context of a wider range of model uncertainty than is indicated by the RCM projections alone. The improved spatial resolution in the RCM allows the land mass of the larger islands in The Bahamas to be represented, whilst the region is represented only by ‘ocean’ grid boxes at GCM resolution. Land surfaces warm more rapidly than ocean due to their lower capacity to absorb heat energy, and we therefore see more rapid warming over the larger Islands in RCM projections than in GCMs. Many Islands of The Bahamas remain too small to be represented in the 50km resolution RCM and may therefore underestimate warming in these areas. 9 Table 3.2.1: Observed and GCM projected changes in temperature for The Bahamas. The Bahamas: Country Scale Changes in Temperature Observed Observed Projected changes by the Projected changes by the Mean Trend 2020s 2050s 1970-99 1960-2006 (˚C) (change in ˚C per decade) Annual 25.3 0.11* DJF 22.6 0.12 MAM 24.3 0.06 JJA 27.9 0.13* SON 26.5 0.15* Min Median Max Min Change in ˚C A2 A1B B1 A2 A1B B1 A2 A1B B1 A2 A1B B1 A2 A1B B1 0.4 0.4 0.3 0.3 0.3 0.4 0.3 0.2 0.2 0.4 0.4 0.3 0.6 0.5 0.5 0.8 0.7 0.7 0.8 0.6 0.6 0.7 0.6 0.6 0.7 0.8 0.7 0.8 0.8 0.7 Median Projected changes by the 2080s Max Min Change in ˚C 1.0 1.1 0.9 0.9 1.0 1.2 1.1 1.1 1.1 1.1 1.3 1.0 1.0 1.1 0.9 0.9 0.9 0.8 0.4 1.0 0.6 0.7 0.7 0.5 1.1 1.0 0.9 1.1 1.0 0.7 1.5 1.6 1.1 1.4 1.4 1.1 1.4 1.4 1.1 1.6 1.7 1.2 1.6 1.7 1.2 Median Max Change in ˚C 1.8 1.9 1.5 1.8 2.1 1.4 2.1 2.0 1.5 1.8 1.9 1.5 1.8 2.0 1.6 2.1 1.5 1.0 1.9 1.3 1.0 2.0 1.5 0.9 2.1 1.6 1.0 2.2 1.7 1.2 2.7 2.2 1.4 2.4 2.0 1.3 2.5 2.2 1.5 2.8 2.3 1.5 2.8 2.4 1.6 3.2 2.8 2.0 3.3 3.0 2.0 3.0 2.5 1.9 3.1 2.8 2.0 3.3 3.1 2.2 Table 3.2.2: GCM & RCM projected changes in temperature for The Bahamas under the A2 scenario. The Bahamas: GCM and RCM Temperature comparison under A2 emissions scenario Projected Changes by 2080 Changes in ˚C GCM Ensemble Range 2.1 2.7 3.2 Annual RCM (Echam4) 2.8 RCM (HadCM3) 2.7 GCM Ensemble Range 1.9 2.4 3.3 DJF RCM (Echam4) 2.3 RCM (HadCM3) 2.8 GCM Ensemble Range 2.0 2.5 3.0 MAM RCM (Echam4) 2.5 RCM (HadCM3) 2.7 GCM Ensemble Range 2.1 2.8 3.1 JJA RCM (Echam4) 3.2 RCM (HadCM3) 2.7 GCM Ensemble Range 2.2 2.8 3.3 SON RCM (Echam4) 3.2 RCM (HadCM3) 2.7 10 3.3. Precipitation Gridded observations of rainfall in The Bahamas do not indicate any significant or consistent trends. There are, however, a number of particularly dry years that have occurred recently (2004, 2005 and 2006). The large inter-annual variability in rainfall in The Bahamas makes it difficult to extract long-term trends. GCM projections of future rainfall for The Bahamas span both overall increases and decreases, but tend towards decreases in more models. Projected rainfall changes in annual rainfall range from -30 to +21 mm per month (-28% to +18%) by the 2080s across the three emissions scenarios. The overall decreases in annual rainfall projected by GCMs occur largely through decreased MAM and JJA (early wet season) rainfall, but these decreases are offset by overall increases in SON rainfall (-26 to +63 mm per month, or -16 to +34% by 2080s). These increases in wet-season rainfall are greatest over the southern islands of The Bahamas. RCM projections of rainfall for The Bahamas are strongly influenced by which driving GCM provides boundary conditions. Projections driven by ECHAM4 indicate decreases in MAM and JJA rainfall, offset by increases in SON rainfall and thus very little change in total annual rainfall. Driven by HadCM3, the seasonal pattern of change is very different, and projections indicate increase in DJF but substantial decreases in JJA. These HadCM3-driven projections correspond with those that are at the most extreme end of the range of GCM projections for drying in JJA and SON. Table 3.3.1: Observed and GCM projected changes in precipitation for The Bahamas. The Bahamas: Country Scale Changes in Precipitation (mm) Observed Observed Projected changes by the Projected changes by the Mean Trend 2020s 2050s 1970-99 1960-2006 Min (mm per month) (change in mm per decade) Change in mm per month Annual 99.3 0.6 DJF 49.4 -0.9 MAM 84.4 3.1 JJA 142.1 0.7 SON 121.5 -0.2 A2 A1B B1 A2 A1B B1 A2 A1B B1 A2 A1B B1 A2 A1B B1 -7 -15 -15 -11 -16 -11 -16 -20 -17 -14 -23 -27 -16 -14 -14 Median 0 0 -1 -3 -1 0 -3 -4 -9 -2 -5 -5 4 3 6 Max 8 7 12 8 18 19 9 9 5 22 26 12 31 22 27 11 Min Median 2080s Max Change in mm per month -19 -20 -14 -16 -17 -14 -21 -25 -17 -38 -43 -22 -11 -23 -31 -3 -4 -2 -2 -1 -2 -10 -9 -5 -11 -7 -5 3 5 0 Projected changes by the 15 10 7 24 17 15 8 8 16 15 19 4 32 29 35 Min Median Max Change in mm per month -30 -22 -15 -19 -25 -15 -28 -26 -14 -55 -55 -28 -26 -16 -14 -8 -5 0 -2 -3 0 -17 -8 -6 -21 -12 -6 6 8 7 12 21 8 27 13 16 6 2 0 5 14 16 34 63 37 Table 3.3.2: GCM & RCM projected changes in precipitation for The Bahamas under the A2 scenario. The Bahamas: GCM and RCM Precipitation comparison under A2 emissions scenario Projected Changes by 2080 Changes in mm Annual DJF MAM JJA SON GCM Ensemble Range RCM (Echam4) RCM (HadCM3) GCM Ensemble Range RCM (Echam4) RCM (HadCM3) GCM Ensemble Range RCM (Echam4) RCM (HadCM3) GCM Ensemble Range RCM (Echam4) RCM (HadCM3) GCM Ensemble Range RCM (Echam4) RCM (HadCM3) -30 -8 -2 -16 -2 3 7 -17 -26 -1 -21 -12 -51 6 24 -21 -19 -28 -55 -26 12 27 6 5 34 Table 3.3.3: Observed and GCM projected changes in precipitation (%) for The Bahamas. The Bahamas: Country Scale Changes in Precipitation Observed Observed Projected changes by the Projected changes by the Mean Trend 2020s 2050s 1970-99 1960-2006 (mm per month) (change in % per decade) Annual 99.3 0.6 DJF 49.4 -1.8 MAM 84.4 3.7 JJA 142.1 0.5 SON 121.5 -0.2 Min Median Max Min % Change A2 A1B B1 A2 A1B B1 A2 A1B B1 A2 A1B B1 A2 A1B B1 -10 -14 -14 -19 -25 -15 -20 -26 -31 -13 -21 -25 -16 -9 -11 0 0 -1 -4 -2 0 -5 -5 -13 -2 -6 -5 3 1 4 Median Projected changes by the 2080s Max Min % Change 7 6 10 8 24 25 14 16 8 15 17 11 18 11 18 -18 -19 -13 -16 -20 -16 -34 -44 -31 -35 -39 -28 -7 -15 -20 12 -3 -5 -2 -3 -2 -3 -15 -14 -9 -13 -9 -6 2 3 0 Median Max % Change 12 9 6 19 20 12 14 13 26 10 17 3 22 20 28 -28 -21 -14 -18 -24 -15 -46 -41 -27 -50 -51 -26 -16 -10 -9 -8 -8 0 -2 -3 0 -23 -16 -7 -21 -17 -11 4 5 4 10 18 6 31 17 18 8 4 0 4 13 11 24 34 26 Table 3.3.4: GCM & RCM projected changes in precipitation (%) for The Bahamas under the A2 scenario. The Bahamas: GCM and RCM Precipitation comparison under A2 emissions scenario Projected Changes by 2080 Changes in ˚% Annual DJF MAM JJA SON 3.4. GCM Ensemble Range RCM (Echam4) RCM (HadCM3) GCM Ensemble Range RCM (Echam4) RCM (HadCM3) GCM Ensemble Range RCM (Echam4) RCM (HadCM3) GCM Ensemble Range RCM (Echam4) RCM (HadCM3) GCM Ensemble Range RCM (Echam4) RCM (HadCM3) -28 -18 -46 -50 -16 -8 -5 -7 -2 3 14 -23 -27 -3 -21 -22 -35 4 23 -7 10 31 8 4 24 Wind Speed Observed mean wind speeds from the ICOADS mean monthly marine surface wind dataset demonstrate significantly increasing trends in all seasons over the periods 1960-2006 over The Bahamas. Over the year, the increasing trend is 0.33 ms-1 per decade. The strongest trends are seen in SON, of 0.45 ms-1 per decade. The observed increase in Atlantic Hurricane/Tropical Storm activity (see Section 3.10) is likely to have contributed to this strong trend in SON, but trends in other seasons indicate an underlying increase in mean wind speeds, regardless of changes in Hurricane frequency or intensity. Mean wind speeds generally increase in GCM projections, but not as dramatically as in the observations of the last few decades. Projected changes range between -0.1 and +0.5 ms-1 by the 2080s. Projected increases are greatest in MAM, ranging between -0.1 and +1.1 ms-1 by the 2080s. Wind speeds in SON projections, by contrast to the observed data, do not show the least consistent or dramatic increases – wind speeds in projections in SON range between -0.5 and +0.6 ms-1. Whilst average wind speeds increase in GCM projections, the RCM projections give very mixed indications for The Bahamas. Driven by HadCM3, the RCM indicates increases in wind speeds in JJA only (+0.3ms-1) and decreases throughout the rest of the year, with the largest decreases, 0.9 ms-1 by 2080, in SON. Driven by ECHAM4, the RCM simulates small increases in wind speed which correspond with mid-range changes from the GCM ensemble. 13 Table 3.4.1: Observed and GCM projected changes in wind speed for The Bahamas. The Bahamas: Country Scale Changes in Wind Speed Observed Observed Projected changes by the Projected changes by the Mean Trend 2020s 2050s 1970-99 1960-2006 -1 (ms ) Min (change in -1 ms per decade) Annual 6.5 0.33* DJF 7.2 0.37* MAM 6.5 0.23* JJA 5.7 0.24* SON 6.5 0.45* Median Change in ms A2 A1B B1 A2 A1B B1 A2 A1B B1 A2 A1B B1 A2 A1B B1 -0.1 0.0 -0.1 -0.1 -0.1 -0.2 -0.1 -0.2 -0.2 -0.2 -0.2 -0.2 -0.3 -0.1 -0.2 0.1 0.0 0.0 0.0 0.1 -0.1 0.1 0.1 0.2 0.0 0.0 0.1 0.0 -0.1 0.0 Max Min -1 Median Change in ms 0.2 0.2 0.3 0.4 0.3 0.1 0.5 0.6 0.8 0.3 0.3 0.3 0.2 0.4 0.2 -0.1 0.0 -0.1 -0.7 -0.1 -0.2 -0.2 -0.4 -0.1 -0.3 -0.1 -0.3 -0.2 -0.2 -0.3 0.0 0.1 0.1 -0.1 0.1 0.1 0.3 0.0 0.3 0.0 0.1 0.0 0.0 0.1 -0.1 Projected changes by the 2080s Max Min -1 0.4 0.4 0.1 0.7 0.7 0.2 0.8 0.6 0.4 0.4 0.4 0.4 0.3 0.2 0.2 Median Max Change in ms -0.1 -0.1 0.0 -0.3 -0.1 -0.4 0.1 -0.1 -0.1 -0.4 -0.2 -0.1 -0.4 -0.5 -0.2 0.2 0.2 0.1 0.2 0.2 0.2 0.3 0.4 0.4 0.2 0.1 0.2 0.0 0.3 0.0 -1 0.5 0.4 0.2 0.5 0.4 0.5 1.1 0.9 0.5 0.7 1.1 0.3 0.2 0.6 0.0 Table 3.4.2: GCM & RCM projected changes in wind speed for The Bahamas under the A2 scenario. The Bahamas: GCM and RCM Wind Speed comparison under A2 emissions scenario Projected Changes by 2080 -1 Changes in ms GCM Ensemble Range -0.1 0.2 0.5 Annual RCM (Echam4) 0.1 RCM (HadCM3) -0.3 GCM Ensemble Range -0.3 0.2 0.5 DJF RCM (Echam4) 0.1 RCM (HadCM3) -0.5 GCM Ensemble Range 0.1 0.3 1.1 MAM RCM (Echam4) 0.0 RCM (HadCM3) -0.2 GCM Ensemble Range -0.4 0.2 0.7 JJA RCM (Echam4) 0.3 RCM (HadCM3) 0.3 GCM Ensemble Range -0.4 0.0 0.2 SON RCM (Echam4) 0.1 RCM (HadCM3) -0.9 14 3.5. Relative Humidity There is no significant trend in observations from the HadCRUH dataset (1973-2003). Relative humidity (RH) data is not available for all models in the 15-model ensemble, but projections from those models that are available tend towards small increases in RH. However, the ensemble sub-sample range does span both increases and decreases in RH in all seasons. Due to the coarse spatial resolution of GCMs, the land mass of the small islands of The Bahamas is not represented in these models and this exerts a strong influence on RH. Ocean and land surfaces respond differently to increases in temperature due to the availability of water. Over ocean surfaces, temperature increases result in increased evaporation of water from the surface. This not only distributes some of the excess heat, but also results in a higher volume of atmospheric water vapour, causing higher specific humidity, although not necessarily higher RH. Over the land surface, only a limited amount of water is available, and therefore increased temperatures will result in an increased potential for evaporation, and this potential increase will only be partially met by available surface moisture. This will result in a small increase in specific humidity, but a likely decrease in RH as the air temperature increases. The representation of the land surface in climate models therefore becomes very important when considering changes in RH under a warmer climate, and we see a substantial disparity between the changes projected for those Caribbean islands which appear in RCM simulations, but not GCMs. This has implications for interpreting projections from both the RCM and GCMs for the Bahamian islands that are too small to appear in RCMs. RCM simulations generally indicate increases in RH in marine regions of The Bahamas, but decreases over the land areas of the larger islands. This distinction between the response of land and ocean surfaces is clear in RCM runs based on both ECHAM4 and HadCM3. When driven by ECHAM4, the RCM indicates overall decrease in RH in DJF, but increases in all but the land surface areas throughout the rest of the year. Conversely, when driven by HadCM3, the model indicates a large increase in RH in DJF, and a slight decrease in JJA. Table 3.5.1: Observed and GCM projected changes in relative humidity for The Bahamas. The Bahamas: Country Scale Changes in Relative Humidity Observed Observed Projected changes by the Projected changes by the Mean Trend 2020s 2050s 1970-99 1960-2006 (%) (change in % per decade) Annual 78.1 -0.05 DJF 77.3 0.42 MAM 77.3 -0.12 JJA 79.3 -0.23 SON 78.5 -0.24 Min Median Max Min Change in % A2 A1B B1 A2 A1B B1 A2 A1B B1 A2 A1B B1 A2 A1B B1 Projected changes by the 2080s Median Max Min Change in % Median Max Change in % 0.0 -0.4 0.0 0.0 0.1 0.2 -0.2 -0.4 0.5 0.2 0.5 0.4 -0.7 -0.2 0.2 0.1 0.8 0.7 -0.8 -1.6 0.3 0.0 0.5 1.1 -0.4 -0.8 0.4 -0.1 1.6 1.0 -1.3 -1.1 0.1 -0.1 1.5 0.4 -0.7 -0.3 -0.1 -0.2 0.1 0.9 -0.2 -0.6 0.1 0.5 0.7 1.2 -0.3 -0.6 0.5 0.4 1.9 0.8 -0.3 -1.6 0.2 -0.2 0.3 0.3 -0.9 -0.4 0.3 0.1 0.6 0.3 -1.7 -1.1 -0.1 -0.2 1.0 1.7 0.2 0.1 0.3 0.2 0.7 0.7 -0.1 -0.6 0.6 0.2 1.1 1.0 -0.7 0.0 0.3 0.5 0.8 1.5 15 Table 3.5.2: GCM and RCM projected changes relative humidity for The Bahamas under the A2 scenario. Projected changes by the 2080s SRES A2 Min Annual DJF MAM JJA SON 3.6. GCM Ensemble Range RCM (ECHAM4) RCM (HadCM3) GCM Ensemble Range RCM (ECHAM4) RCM (HadCM3) GCM Ensemble Range RCM (ECHAM4) RCM (HadCM3) GCM Ensemble Range RCM (ECHAM4) RCM (HadCM3) GCM Ensemble Range RCM (ECHAM4) RCM (HadCM3) Median Max Change in % 0.6 0.7 0.5 -0.2 -1.0 0.9 0.8 1.9 1.0 0.7 0.7 -0.3 1.4 1.0 0.2 Sunshine Hours The number of ‘sunshine hours’ per day are calculated by applying the average clear-sky fraction from cloud observations to the number of daylight hours for the latitude of the location and the time of year. The observed number of sunshine hours based on ISCCP satellite observations of cloud coverage indicates statistically significant increases in sunshine hours over recent years (1983-2001) in all seasons except the wettest season, SON. In DJF, sunshine hours have increased by 0.83 hours per decade, and in JJA and MAM by 0.63 and 0.65 hours, respectively. The number of sunshine hours is implied by most models to increase into the 21st century in The Bahamas, reflecting reductions in average cloud cover fractions, although the model ensemble spans both increases and decreases in all seasons and emissions scenarios. The changes in annual average sunshine hours are to span -0.1 to +1.2 hours per day by the 2080s across all three scenarios. The increases are largest in JJA, with changes of -0.2 to +1.6 hours per day by the 2080s. Comparison between GCM and RCM projections of sunshine hours for The Bahamas shows the RCM simulations lie in the higher end of the range of GCM changes in sunshine hours at +0.7 to +0.9 compared with -0.2 to +1.0 in GCM ensemble. Both RCM simulations indicate the largest increase in sunshine hours in JJA, which is in agreement with the GCM ensemble. 16 Table 3.6.1: Observed and GCM projected changes in sunshine hours for The Bahamas. The Bahamas: Country Scale Changes in Sunshine Hours Observed Observed Projected changes by the Projected changes by the Mean Trend 2020s 2050s 1970-99 1960-2006 (hrs) (change in hrs per decade) Annual 5.6 0.50* DJF 5.6 0.83* MAM 6.1 0.65* JJA 5.8 0.63* SON 4.7 0.05 Min Median Max Min Change in hrs A2 A1B B1 A2 A1B B1 A2 A1B B1 A2 A1B B1 A2 A1B B1 -0.1 -0.2 -0.2 0.0 -0.3 -0.2 -0.4 -0.3 -0.6 -0.4 -0.3 -0.2 -0.2 -0.7 -0.3 0.1 0.1 0.2 0.2 0.1 0.2 0.1 0.2 0.2 0.1 0.1 0.2 0.2 0.1 0.0 Projected changes by the 2080s Median Max Min Change in hrs 0.5 0.3 0.4 0.4 0.4 0.3 0.6 0.5 0.8 0.6 0.5 0.6 0.7 0.3 0.4 0.0 -0.1 -0.1 -0.1 -0.2 -0.3 -0.2 -0.4 -0.5 -0.1 0.1 -0.4 -0.2 -0.3 -0.2 0.3 0.3 0.1 0.3 0.3 0.1 0.4 0.3 0.1 0.5 0.4 0.3 0.1 0.1 0.2 0.7 0.6 0.7 0.8 0.7 0.6 1.0 0.8 0.6 1.0 0.8 1.0 0.5 0.4 0.5 Median Max Change in hrs 0.0 0.0 -0.1 -0.5 -0.3 -0.2 -0.2 -0.3 -0.1 -0.1 0.2 -0.2 -0.4 -0.2 -0.5 0.5 0.4 0.2 0.3 0.3 0.1 0.5 0.5 0.1 0.9 0.9 0.4 0.3 0.4 0.0 1.0 1.2 0.9 1.3 1.4 0.6 1.3 1.2 1.0 1.5 1.6 1.3 0.8 0.7 0.6 Table 3.6.2: GCM and RCM projected changes sunshine hours for The Bahamas under the A2 scenario. The Bahamas: GCM and RCM Sunshine Hours comparison under A2 emissions scenario Projected Changes by 2080 Changes in hrs GCM Ensemble Range -0.2 0.5 1 Annual RCM (Echam4) 0.9 RCM (HadCM3) 0.7 GCM Ensemble Range -0.5 0.3 1.3 DJF RCM (Echam4) 0.7 RCM (HadCM3) 0.5 GCM Ensemble Range -0.2 0.5 1.3 MAM RCM (Echam4) 0.9 RCM (HadCM3) 0.2 GCM Ensemble Range -0.6 0.9 1.5 JJA RCM (Echam4) 1.7 RCM (HadCM3) 1.6 GCM Ensemble Range -0.4 0.3 0.8 SON RCM (Echam4) 0.6 RCM (HadCM3) 0.8 17 3.7. Sea Surface Temperatures Sea-surface temperatures from the HadSST2 gridded dataset do not indicate statistically significant trends in the waters of The Bahamas. GCM projections indicate increases in sea-surface temperatures throughout the year. Projected increases range between +0.9˚C and +2.7˚C by the 2080s, across all three emissions scenarios. Increases tend to be fractionally higher in SON than in other seasons (1.0 to 2.9˚C by 2080). The range of projections under single emissions scenario spans around 1.0 to 1.5˚C. Table 3.7.1: Observed and GCM projected changes in sea surface temperature for The Bahamas. The Bahamas: Country Scale Changes in Sea Surface Temperatures Observed Observed Projected changes by the Projected changes by the Mean Trend 2020s 2050s 1970-99 1960-2006 (˚C) (change in ˚C per decade) Annual 26.8 0.03 DJF 25.1 0.04 MAM 25.4 0.02 JJA 28.5 0.04 SON 28 0.04 3.8. Min Median Max Min Change in ˚C A2 A1B B1 A2 A1B B1 A2 A1B B1 A2 A1B B1 A2 A1B B1 0.4 0.4 0.3 0.3 0.5 0.4 0.2 0.3 0.2 0.4 0.3 0.2 0.5 0.3 0.4 0.7 0.6 0.5 0.7 0.5 0.5 0.6 0.5 0.5 0.7 0.7 0.6 0.7 0.8 0.6 Median Projected changes by the 2080s Max Min Change in ˚C 0.9 0.8 0.9 0.9 0.7 0.9 0.9 0.7 0.9 0.9 0.8 0.8 1.0 0.9 0.9 0.8 0.8 0.7 0.6 0.9 0.6 0.6 0.7 0.7 1.2 0.8 0.9 1.0 0.9 0.7 1.4 1.5 1.1 1.3 1.3 1.0 1.2 1.3 0.9 1.4 1.5 1.0 1.5 1.6 1.1 Median Max Change in ˚C 1.7 1.7 1.2 1.7 1.7 1.2 1.8 1.7 1.1 1.8 1.7 1.2 1.6 1.7 1.3 1.9 1.4 0.9 1.8 1.3 1.0 1.8 1.3 0.9 1.9 1.4 0.9 2.0 1.6 1.0 2.5 2.2 1.4 2.4 2.3 1.2 2.3 2.2 1.5 2.5 2.2 1.5 2.6 2.3 1.4 2.7 2.5 1.8 2.8 2.5 1.8 2.6 2.3 1.6 2.9 2.6 1.7 2.9 2.8 2.0 Temperature Extremes ‘Extreme’ hot or cold values are defined by the temperatures that are exceeded on 10% of days in the ‘current’ climate or reference period. This allows us to define ‘hot’ or ‘cold’ relative to the particular climate of a specific region or season, and determine changes in extreme events relative to that location. The available observed daily data does indicate statistically significant increases in ‘hot’ days and nights, and decreases in ‘cold’ days and nights during the period 1973-2008. GCM projections indicate increases in the frequency of ‘hot’ days and nights, with their occurrence reaching 26-67% of days annually by the 2080s. The rate of increase varies substantially between models for each scenario, such that under A2 the most conservative increases result in frequency of 36% by the 2080s, with other models indicating frequencies as high as 67%. Those days/nights that are considered ‘hot ‘ for their season are projected to increase most rapidly in JJA, occurring on 50 to 99% of days in JJA by the 2080s. Cold days/nights occur on a maximum of 4% of days/nights by the 2080s, and do not occur at all in projections from some models by the 2050s. Cold days/nights decrease in frequency most rapidly in JJA. 18 Table 3.8.1: Observed and GCM projected changes in temperature extremes for The Bahamas. Observed Observed Mean Trend 1970-99 1960-2006 % Frequency Change in frequency per decade Projected changes by the 2020s Min Median Max Projected changes by the 2050s Projected changes by the Min Median Max Future % frequency Min Median Max Future % frequency 2080s Frequency of Hot Days (TX90p) Annual 12.0 2.33 DJF 11.4 8.01 MAM 12.0 7.4 JJA 11.3 5.83 SON 10.2 3.06 A2 A1B B1 A2 A1B B1 A2 A1B B1 A2 A1B B1 A2 A1B B1 26 28 24 37 41 30 26 31 22 57 56 48 33 36 27 41 39 32 50 51 35 48 48 36 74 73 57 66 69 54 47 45 38 66 64 49 67 64 41 85 81 65 82 81 72 36 32 26 61 46 32 47 46 22 78 69 49 53 41 35 59 49 38 77 69 50 75 68 45 96 93 72 89 87 63 67 61 45 90 85 68 91 85 67 99 98 83 97 93 79 40 39 33 43 46 33 43 46 34 75 77 61 68 68 56 47 44 38 59 57 45 65 62 39 86 82 64 81 79 68 44 39 31 54 44 30 58 54 28 87 82 61 73 62 49 58 49 38 71 61 42 71 64 42 97 94 73 88 86 63 66 60 45 84 78 62 89 83 60 99 98 82 96 92 76 4 3 4 2 2 3 2 2 4 0 0 0 1 1 2 5 4 6 5 4 6 4 3 6 2 1 1 2 3 4 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 3 0 1 3 0 1 3 0 0 0 0 0 2 2 3 4 1 3 3 2 2 3 0 1 3 1 1 3 4 3 4 3 2 2 2 2 3 0 0 0 1 2 3 5 5 6 5 4 7 6 4 6 0 0 0 3 4 5 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 1 2 3 0 1 2 0 1 2 0 0 0 0 0 2 2 3 4 1 2 3 1 2 4 0 0 1 2 2 4 Frequency of Hot Nights (TN90p) Annual 10.4 1.96 DJF 12.0 2.11 MAM 11.6 0.34 JJA 10.8 9.41 SON 13.3 6.22 A2 A1B B1 A2 A1B B1 A2 A1B B1 A2 A1B B1 A2 A1B B1 32 33 28 32 37 29 32 29 27 71 70 52 50 53 40 Frequency of Cold Days (TX10p) Annual 10.9 -0.81 DJF 10.7 -1.64 MAM 13.5 3.17 JJA 10.3 1.35 SON 13.6 -0.4 A2 A1B B1 A2 A1B B1 A2 A1B B1 A2 A1B B1 A2 A1B B1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 Frequency of Cold Nights (TN10p) Annual 10.1 -2.46 DJF 12.2 -3.61 MAM 10.7 5.46 JJA 10.4 -1.06 SON 10.4 -2.81 A2 A1B B1 A2 A1B B1 A2 A1B B1 A2 A1B B1 A2 A1B B1 1 1 2 0 0 1 0 1 1 0 0 0 0 0 1 19 3.9. Rainfall Extremes Changes in rainfall extremes based on peal 1- and 5-day rainfall totals, as well as exceedance of a relative threshold for ‘heavy’ rain, were examined. ‘Heavy’ rain is determined by the daily rainfall totals that are exceeded on 5% of wet days in the ‘current’ climate or reference period, relative to the particular climate of a specific region or season. Observations do not indicate statistically significant trends in any of the parameters over The Bahamas except for an increasing trend in maximum 5-day rainfall in SON. There is large inter-annual variability in these measures of extreme rainfall and the available observed records are not sufficiently long to identify long-term trends. GCM projections of rainfall extremes are mixed across the ensemble, ranging across both decreases and increases in all measures of extreme rainfall. However, the models projections do tend towards decreases in rainfall extremes in MAM and JJA and small increases in SON and DJF. The range of changes in the proportion of annual rainfall during heavy events is -4 to +6% by the 2080s across all emissions scenarios and the range of changes in 5-day maxima spans -12mm to +8mm by the 2080s. 20 Table 3.9.1: Observed and GCM projected changes in rainfall extremes for The Bahamas. Observed Observed Mean Trend 1970-99 1960-2006 Projected changes by the 2020s Min Median Max Projected changes by the 2050s Min Median Max Projected changes by the 2080s Min Median Max % total rainfall falling in Heavy Events (R95pct) % Annual 25.3 Change in % per decade 1.45 DJF MAM JJA SON Change in % A2 A1B B1 A2 A1B B1 A2 A1B B1 A2 A1B B1 A2 A1B B1 -5 -4 -4 -5 -9 -6 -15 -20 -12 -8 -9 -7 -6 -4 -4 0 0 0 0 0 0 -5 -4 -3 -2 -3 -1 1 2 0 5 5 4 12 11 6 4 6 5 8 8 5 7 6 6 Change in % -4 -4 -3 -8 -6 -7 -18 -14 -12 -19 -10 -10 -5 -5 -2 0 0 1 3 1 2 -6 -6 -2 -5 -4 0 0 -2 0 6 4 4 15 12 9 5 2 5 6 6 7 10 8 6 Maximum 1-day rainfall (RX1day) mm Change in mm per decade Annual 191.7 -0.28 DJF 86.6 17.47 MAM 95.1 23.04 JJA 195.7 -39.47 SON 83.4 20.43 mm Change in mm per decade Annual 146.1 -26.25 DJF 52.9 7.68 MAM 53.9 9.14 JJA 124.1 -30.76 SON 57.4 21.86 Change in mm A2 A1B B1 A2 A1B B1 A2 A1B B1 A2 A1B B1 A2 A1B B1 -3 -4 -4 -4 -6 -3 -5 -7 -6 -5 -6 -2 -2 -2 -5 0 0 0 0 0 -1 -2 0 -1 -1 -1 0 0 1 0 7 9 7 9 12 3 3 5 4 5 2 7 9 9 8 Change in mm -3 -12 -2 -4 -1 -2 -7 -10 -8 -6 -6 -8 -5 -8 -2 1 0 0 2 0 1 -2 -2 0 -2 -1 -1 1 0 0 8 8 8 10 11 6 3 1 2 5 2 7 7 6 10 Maximum 5-day Rainfall (RX5day) Change in mm A2 A1B B1 A2 A1B B1 A2 A1B B1 A2 A1B B1 A2 A1B B1 -9 -7 -10 -7 -13 -8 -14 -12 -18 -9 -12 -6 -5 -4 -8 21 0 0 0 -2 0 -1 -4 -5 -1 -2 -4 -2 3 5 0 18 19 17 9 16 4 12 6 5 20 9 14 21 21 19 Change in mm -9 -17 -5 -11 -7 -4 -21 -17 -12 -19 -11 -21 -16 -17 -8 2 -3 2 1 0 2 -6 -6 -2 -7 -5 -2 3 -4 2 25 16 26 17 12 13 7 4 6 13 13 18 14 13 19 3.10. Hurricanes and Tropical Storms Historical and future changes in tropical storm and hurricane activity have been a topic of heated debate in the climate science community. Drawing robust conclusions with regards to changes in climate extremes is continually hampered by issues of data quality in our observations, the difficulties in separating natural variability from long-term trends and the limitations imposed by spatial resolution of climate models. Tropical storms and hurricanes form from pre-existing weather disturbances where sea surface temperatures (SSTs) exceed 26˚C. Whilst SSTs are a key factor in determining the formation, development and intensity of tropical storms, a number of other factors are also critical, such as subsidence, wind shear and static stability. This means that whilst observed and projected increases in SSTs under a warmer climate potentially expand the regions and periods of time when tropical storms may form, the critical conditions for storm formation may not necessarily be met (e.g. Vecchi and Soden, 2007; Trenberth et al., 2007), and increasing SSTs may not necessarily be accompanied by an increase in the frequency of tropical storm incidences. Several analyses of global (e.g. Webster et al., 2005) and more specifically North Atlantic (e.g. Holland and Webster, 2007; Kossin et al., 2007; Elsner et al., 2008) hurricanes have indicated increases in the observed record of tropical storms over the last 30 years. It is not yet certain to what degree this trend arises as part of a long-term climate change signal or shorter-term inter-decadal variability. The available longer term records are riddled with in homogeneities (inconsistencies in recording methods through time) - most significantly, the advent of satellite observations, before which storms were only recorded when making landfall or observed by ships (Kossin et al., 2007). Recently, a longer-term study of variations in hurricane frequency in the last 1500 years based on proxy reconstructions from regional sedimentary evidence indicate recent levels of Atlantic hurricane activity are anomalously high relative to those of the last oneand -a -half millennia (Mann et al., 2009). Climate models are still relatively primitive with respect to representing tropical storms, and this restricts our ability to determine future changes in frequency or intensity. We can analyse the changes in background conditions that are conducive to storm formation (boundary conditions) (e.g. Tapiador, 2008), or apply them to embedded high-resolution models which can credibly simulate tropical storms (e.g. Knutson and Tuleya, 2004; Emanuel et al., 2008). Regional Climate Models are able to simulate weak ‘cyclone-like’ storm systems that are broadly representative of a storm or hurricane system but are still considered coarse in scale with respect to modelling hurricanes. The IPCC AR4 (Meehl et al., 2007) concludes that models are broadly consistent in indicating increases in precipitation intensity associated with tropical storms (e.g. Knutson and Tuleya, 2004; Knutson et al., 2008; Chauvin et al., 2006; Hasegawa and Emori, 2005; Tsutsui, 2002). The higher resolution models that simulate storms more credibly are also broadly consistent in indicating increases in associated peak wind intensities and mean rainfall (Knutson and Tuleya, 2004; Oouchi et al., 2006). We summarise the projected changes in wind and precipitation intensities from a selection of these modelling experiments in Table 3.10.1 to give an indication of the magnitude of these changes. With regards to the frequency of tropical storms in future climate, models are strongly divergent. Several recent studies (e.g. Vecchi and Sodon, 2007; Bengtssen et al., 2007; Emanuel et al., 2008, Knutson et al., 2008) have indicated that the frequency of storms may decrease due to decreases in vertical wind shear in a warmer climate. In several of these studies, intensity of hurricanes still increases despite decreases in frequency (Emanuel et al., 2008; Knutson et al., 2008). In a recent study of the PRECIS regional climate model simulations for Central America and the Caribbean, Bezanilla et al., (2009) found that the frequency 22 of ‘Tropical -Cyclone-Like –Vortices’ increases on the Pacific coast of Central America, but decreases on the Atlantic coast and in the Caribbean. When interpreting the modelling experiments we should remember that our models remain relatively primitive with respect to the complex atmospheric processes that are involved in hurricane formation and development. Hurricanes are particularly sensitive to some of the elements of climate physics that these models are weakest at representing, and are often only included by statistical parameterisations. Comparison studies have demonstrated that the choice of parameterisation scheme can exert a strong influence on the results of the study (e.g. Yoshimura et al., 2006). We should also recognise that the El Niño Southern Oscillation (ENSO) is a strong and well established influence on Tropical Storm frequency in the North Atlantic, and explains a large proportion of inter-annual variability in hurricane frequency. This means that the future frequency of hurricanes in the North Atlantic is likely to be strongly dependent on whether the climate state becomes more ‘El-Niño-Like’, or more ‘La-Niña-like’ – an issue upon which models are still strongly divided and suffer from significant deficiencies in simulating the fundamental features of ENSO variability (e.g. Collins et al., 2005). Table 3.10.1: Changes in Near-storm rainfall and wind intensity associated with Tropical storms in under global warming scenarios. Reference GHG scenario Type of Model Domain A1B Regional Climate Model Atlantic Knutson and Tuleya (2004) 1% per year CO2 increase Oouchi et al (2006) A1B 9 GCMs + nested regional model with 4 different moist convection schemes. High Resolution GCM Knutson (2008) et al. Change in peak wind intensity Global Change in nearstorm rainfall intensity (+37, 23, 10)% when averaged within 50, 100 and 400 km of the storm centre +12-33% Global N/A +14% North Atlantic +2.9% +5-7% +20% 3.11. Sea Level Rise Observed records of sea level from tidal gauges and satellite altimeter readings indicate a global mean SLR of 1.8 (+/- 0.5) mm yr-1 over the period 1961-2003 (Bindoff et al., 2007). Acceleration in this rate of increase over the course of the 20th Century has been detected in most regions (Woodworth et al., 2009; Church and White, 2006). There are large regional variations superimposed on the mean global SLR rate. Observations from tidal gauges surrounding the Caribbean basin (Table 3.11.1) indicate that SLR in the Caribbean is broadly consistent with the global trend (Table 3.11.2). 23 Table 3.11.1: Sea level rise rates at observation stations surrounding the Caribbean Basin Tidal Gauge Station Bermuda San Juan, Puerto Rico Guantanamo Bay, Cuba Miami Beach, Florida Vaca Key, Florida -1 Observed trend (mm yr ) 2.04 (+/- 0.47) 1.65 (+/- 0.52) 1.64 (+/- 0.80) 2.39 (+/1 0.43) 2.78 (+/- 0.60) Observation period 1932-2006 1962-2006 1973-1971 1931-1981 1971-2006 Source: (NOAA, 2009) Projections of future SLR associated with climate change have recently become a topic of heated debate in scientific research. The IPCC’s AR4 report summarised a range of SLR projections under each of its standard scenarios, for which the combined range spans 0.18-0.59 m by 2100 relative to 1980-1999 levels (see ranges for each scenario in Table 3.11.2). These estimates have since been challenged for being too conservative and a number of studies (e.g. Rahmstorf, 2007; Rignot and Kanargaratnam, 2006; Horton et al., 2008) have provided evidence to suggest that their uncertainty range should include a much larger upper limit. Total sea level rises associated with atmospheric warming appear largely through the combined effects of two main mechanisms: (a) thermal expansion (the physical response of the water mass of the oceans to atmospheric warming) and (b) ice-sheet, ice-cap and glacier melt. Whilst the rate of thermal expansion of the oceans in response to a given rate of temperature increase is projected relatively consistently between GCMs, the rate of ice melt is much more difficult to predict due to our incomplete understanding of icesheet dynamics. The IPCC total SLR projections comprise of 70-75% (Meehl et al., 2007a) contribution from thermal expansion, with only a conservative estimate of the contribution from ice sheet melt (Rahmstorf, 2007). Recent studies that observed acceleration in ice discharge (e.g. Rignot and Kanargaratnam, 2006) and observed rates of SLR in response to global warming (Rahmstorf, 2007), suggest that ice sheets respond highly-non linearly to atmospheric warming. We might therefore expect continued acceleration of the large ice sheets resulting in considerably more rapid rates of SLR. Rahmstorf (2007) is perhaps the most well cited example of such a study and suggests that future SLR might be in the order of twice the maximum level that the IPCC, indicating up to 1.4 m by 2100. Table 3.11.2: Projected increases in sea level rise from the IPCC AR4 Scenario IPCC B1 IPCC A1B IPCC A2 Rahmstorf, 2007 Global Mean Sea Level Rise by 2100 relative to 1980-1999. Caribbean Mean Sea Level Rise by 2100 relative to 1980-1999 (+/ 0.05m relative to global mean) 0.18-0.38 0.13-0.43 0.21-0.48 0.16-0.53 0.23-0.51 0.18- 0.56 Up to 1.4m Up to 1.45m (Source: Meehl et al., 2007 contrasted with those of Rahmstorf, 2007). 3.12. Storm Surge Changes to the frequency or magnitude of storm surge experienced at coastal locations in The Bahamas are likely to occur as a result of the combined effects of: 24 (a) Increased mean sea level in the region, which raises the base sea level over which a given storm surge height is superimposed (b) Changes in storm surge height, or frequency of occurrence, resulting from changes in the severity or frequency of storms (c) Physical characteristics of the region (bathymetry and topography) which determine the sensitivity of the region to storm surge by influencing the height of the storm surge generated by a given storm. Sections 1, 3.10 and 3.11 discuss the potential changes in sea level and hurricane intensity that might be experienced in the region under (global) warming scenarios. The high degree of uncertainty in both of these contributing factors creates difficulties in estimating future changes in storm surge height or frequency. Further impacts on storm surge flood return period may include: Potential changes in storm frequency: some model simulations indicate a future reduction in storm frequency, either globally or at the regional level. If such decreases occur they may offset these increases in flood frequency at a given elevation. Potential increases in storm intensity: evidence suggests overall increases in the intensity of storms (lower pressure, higher near storm rainfall and wind speeds) which would cause increases in the storm surges associated with such events, and contribute further to increases in flood frequency at a given elevation. 25 4. VULNERABILITY AND IMPACTS PROFILE FOR THE BAHAMAS Vulnerability is defined as the “inherent characteristics or qualities of social systems that create the potential for harm. Vulnerability is a function of exposure… and sensitivity of [the] system” (Adger, 2006; Cutter, 1996 cited in Cutter et al. 2008, p. 599). Climate change is projected to be a progressive process and therefore vulnerability will arise at different time and spatial scales affecting communities and sectors in distinct ways. Participatory approaches to data collection were implemented in Abaco Island to provide additional community-level data and field surveys in Eleuthra and Harbour Island enabled the creation of sea level rise impact data and maps. To help in the identification and analysis of vulnerability, the following sections discuss the implications and impacts of climate change on key sectors as they relate to tourism in The Bahamas. The Bahamas is already experiencing some of the effects of climate variability through damages from severe weather systems and the decline of some coastal tourism attractions. At present severe weather forces the closure of many hotels as travel is cancelled, and port closures disrupt cruise ship services. Adverse rainfall and other weather conditions also cause cancellations for outdoor events (e.g. National Park closures and many eco-tourism businesses such as kayaking) leading to a loss of revenue. There is a spatial perception issue that if a hurricane hits one Bahamian Island potential visitors perceive that the bad conditions have affected all of the Bahamian islands and may choose not to visit the country at all. According to the Government of The Bahamas, the major issues of climate change are SLR, the likelihood of more intense weather systems and periods of drought. Sea level rise is seen as having the greatest potential impact, especially during intense storm swell conditions since human settlements and tourism developments are mainly located along the coast, and are high risk for coastal erosion and catastrophic events (NCCC, BEST Commission, 2005). 26 4.1. Water Quality and Availability 4.1.1. Background Throughout The Bahamas, freshwater is sourced mainly from subterranean freshwater lenses that rest over brackish and saline waters (Buchan, 2000). These shallow karstic limestone aquifers are close to the land surface at a depth of only 1.5 m (BEST, 2001), and their distribution varies according to factors including island size, shape, climate and geology (Buchan, 2000). Groundwater resources are of variable salinity from completely fresh to brackish, saline or hypersaline (Buchan, 2000). Other sources of water aside from groundwater are shallow wells, trenches, pits, freshwater marshes, and rainwater catchments in lesserdeveloped areas (BEST, 2005). Rainfall is moderate varying between 1400 mm/year in the cooler northerly islands, decreasing to 700 mm/year in the arid islands in the south (Buchan, 2000). More rainfall is experienced on larger islands and on those that are in closer proximity to the United States mainland. The north has higher rainfall, especially in winter because it receives moisture from cold fronts that originate in the United States of America ( Cox et al., 2005). No freshwater rivers exist in any of the 700 islands that constitute The Bahamas partly due to the porous nature of the limestone which diverts rainfall underground (Buchan, 2000). There are also small lakes, but none are composed of freshwater (BEST, 2006c). The Bahamas is completely reliant on rainfall which percolates into shallow aquifers as it is the sole source of freshwater in the country (WSC, 2011). Freshwater is considered scarce with 66 m3/capita/year and ranked 177 out of 180 countries by the FAO in 2002 with respect to its water availability (USACE, 2004). However, although availability and distribution of water resources presents many challenges to The Bahamas, data suggest that there is no net shortage of freshwater (BEST, 2006c). The fresh water distribution in The Bahamas varies from island to island and is complicated by the varying population densities. Ninety-five percent of the population live on 7 islands (PAHO, 2007) and the main population centres are concentrated on New Providence, the location of the capital Nassau and approximately 70% of the population, and Grand Bahama, with around 15% of the population (USACE, 2004). In New Providence the freshwater lens is 17,500 acres with a population of around 212 432 (205 litres per day per person), compared to Andros Island which has a freshwater lens of 338,585 acres with a population of around 7,615 (125,430 litres per day per person) (Cant, 1996 cited in Buchan. 2000; see Table 4.1.1). The larger islands have thicker freshwater lenses as is the case with Andros, Abaco and Grand Bahama where these lenses can be as thick as 30 m, whereas in smaller islands they can range from just 3 to 6 m (Cox et al., 2005). 0.28 Barged supplies from Andros 8.12 19.7 New Providence Well Fields 8.73 Reverse Osmosis Plant Figure 4.1.1: Sources of Freshwater for New Providence in millions of gallons of water per day (Source: Adapted from Cox et al., 2005, Original source: BEST, 2005) 27 Since 1976 potable water has been shipped 60 km by barge from Andros Island to New Providence as water demands for both locals and tourists exceed the small local supply. Currently this accounts for approximately 55% of New Providence’s water demands (see Figure 4.1.1) (Cox et al., 2005). Other means of transporting water include the use of pipelines, which has occurred from North Eleuthera to Harbour Island and Spanish Wells, and reverse osmosis plants which are in many of the islands to provide water to settlements as well as hotels, restaurants and marinas (Cox et al., 2005). However, New Providence is the only island where supply is not sufficient to cater for the local (island specific) demand (BEST, 2006c). Water supply for domestic consumption in New Providence comes from both government and privately owned wells and local reverse osmosis plants (Cox et al., 2005) which, together with the barged supply, provide 100% access to potable water. In 2006 there were over a dozen desalination plants operated by the WSC spread over New Providence and 9 of the other Family Islands with four more islands expected to be connected to these water resources (BIS, 2006b). Overall estimates between 2001 and 2005 indicated that 96.4% of the population of The Bahamas had access to water via household connections and other piped infrastructure (PAHO, 2007) but this figure varies from island to island depending on the infrastructure and water programme utilised. While all of New Providence has access to potable water, the Family Islands access stands at approximately 20% (Cox et al., 2005). Nonetheless, the dependence on potable water is so extreme in New Providence that around 85% of the population purchases bottled water for drinking and cooking (USACE, 2004) and approximately 70% in hotels (SEDU, 2002), partly due the water produced by the WSC having a high chloride content and distinct and disagreeable taste (SEDU, 2002). Table 4.1.1: Comparison of Water Availability and Population for various Islands in The Bahamas* Island Water Available Daily per Person 2000 Census (Litres)** Total Population 2000 Census Abaco 27,318 13,174 Acklins 46,897 423 Andros 125,430 7,615 336 2,308 Cat Island 19,988 1,548 Crooked Island 23,218 341 Eleuthera, Harbour Island & Spanish Wells 3,280 11,269 Exuma & Cays 3,690 3,575 Grand Bahama 9,027 46,954 Great Inagua 3,740 1,046 Long Island 4,450 2,945 Mayaguana 11,288 262 New Providence 205 212,432 Ragged Island 660 69 San Salvador & Rum Cay 441 1,028 Bimini & the Berry Islands Source: Adapted from (Cox et al., 2005) *Table excludes values related to the tourists. **Converted from Imperial Gallon = 4.55 Litres 28 The government stipulated water provider in The Bahamas is the Water and Sewerage Corporation (WSC). However, it supplies water to just 30% of water to consumers, as much as 55% of which has been tagged as non-revenue water. This low rate of supply is due to private operators and the abstraction of water from private wells by consumers such as tourist developments (Spencer et al., 2010). However, since there is a limited availability of groundwater and freshwater lenses are shallow, this unregulated abstraction could have a significant impact on water sustainability as well as environmental and health consequences (Spencer et al., 2010). As much as 50% of water in New Providence is lost through poor pipe infrastructure (Strachan, 2010). In addition, there are limited options for water waste disposal, high operating costs and a rapid rate of economic development which exacerbates problems (BEST, 2005). The waste disposal methods employed in The Bahamas have been described by Buchan (2000) as inadequate Between 50-60% The Bahamas’ GDP is derived from tourism and on average between 1999 and 2003 there were between 3.5 and 4.5 million visitors (Cox et al., 2005) and was 4.6 million in 2009 (MOF, 2010). The country has a large ship registry including major cruise lines (BEST, 2001). Water use from the tourism sector is usually higher than that for local demand. For example, as estimated in the USACE (2004) the water requirements of an average tourist ranges from 400 – 1,000 L per day, whereas for the local average is around 150 – 200 L per day. To meet water requirement needs, desalination is utilised within the tourism sector, however, such technology is more expensive. This is adapted to partially through the use of slightly saline groundwater (Buchan, 2000). The main stakeholders in water resource management in The Bahamas are The Water and Sewerage Corporation (Ministry of Consumer Affairs), the Department of Physical Planning, Ministry Of Works and Utilities, Ministry of Health, Ministry of Agriculture, Fisheries and Local Government, Public Utilities Commission, Joint Water Quality and Pollution Control Unit, Paradise Utilities, Grand Bahamas Utilities Company, New Providence Development Company as well as District Councils and Town Committees (Chase, 2008). Other stakeholders include The Bahamas Environment Science and Technology Commission, Soft Drink Manufacturers, Bottled Water Companies and The Bahamas National Trust (Chase, 2008). Water rates are charged according in three categories; rates for New Providence, for Family Island which consists of all islands outside of New Providence and Grand Bahamas and then for all other islands under residential and non-residential (See Table 4.1.2). According to a report by the Inter-American Development Bank, tariffs by the Water and Sewerage Corporation have not increased since 1999 (Spencer et al., 2010). Bahamians do not pay the true cost of water because cost of operations of reverse osmosis and particularly the energy requirements for the process are very expensive (Strachan, 2010). 29 Table 4.1.2: Water Charges in The Bahamas New Providence Charge level Minimum charge per quarter: New Providence: including 3,000 gallons; All other islands: including 2,200 gal. Level 2 consumption charge per 1,000 gal./quarter: New Providence: 3,000-13,000 gal.; All other islands: 2,00013,000 gal. Level 3 consumption charge per 1,000 gal./quarter: New Providence: 13,000100,000 gal.; All other islands: 13,000-26,000 gal. Level 4 consumption charge per 1,000 gal./quarter: New Providence: >100,000 gal.; All other islands: >26,000 gal. Indicative annual pricing at 150 L per day (39.58 gal.) Indicative annual pricing at 150 L per day (39.58 gal.) Abaco, Eleuthera, Exuma, San Salvador Other islands Residential Nonresidential Residential Nonresidential Residential Nonresidential $36.00 $60.00 $18.00 $25.00 $18.00 $25.00 $12.10 $13.15 $6.00 $6.72 $3.45 $3.86 $18.95 $20.95 $7.40 $8.29 $4.35 $4.87 $15.26 $15.26 $8.40 $9.41 $6.00 $6.72 $184.38 $221.77 $94.69 $110.90 $62.23 $74.50 $275.67 $322.69 $130.34 $150.83 $83.19 $97.96 NB: BS$ 1= US $1 (Source: WSC - http://www.wsc.com.bs/Waterrates.asp) 4.1.2. Vulnerability of water sector to climate change The shallow freshwater aquifer lenses in The Bahamas are threatened by anthropogenic pollution which includes the increased use of septic tanks, increased contamination from hazardous chemicals and agricultural products, increased leachates from landfills and increased release of industrial wastes (BEST, 2005). These are particular concerns for the densely populated New Providence and Grand Bahama Islands. Storm surges and canalisation for development of residential plots have also given rise to salinisation issues which threaten freshwater supplies. SLR and storm surges as a result of more extreme weather events including hurricanes can lead to saline intrusion of freshwater lenses. Because the majority of the islands are low lying and a high percentage of land is located close to sea-level, issues of flooding are a cause for concern since groundwater may be easily contaminated (BEST, 2001; Cox et al., 2005). Storm surges from past hurricanes have already caused extensive damage to aquifers in The Bahamas, with contamination from seawater, sewage, pesticides and petroleum products (USACE, 2004). In addition, tourism has increased problems through both increased groundwater abstraction and increased generation of sewage (Buchan, 2000). Drought in The Bahamas Decreases in precipitation are projected for many sub-tropical areas including the Caribbean region, which is also likely to experience shorter rainy seasons and precipitation in shorter duration, intense events interspersed with longer periods of relatively dry conditions (Bates et al., 2008). A significant increase in the 30 number of consecutive dry days has been found for the Caribbean region (Bates et al., 2008), indicating that periods of drought are becoming increasingly common. As a result, drought management will become a progressively large challenge, requiring a multifocal approach due to its non-structural nature and complex spatial patterns. This makes it a difficult task to find suitable solutions to adapt to the problems created by drought conditions (e.g. Campbell et al., 2011). Good management of the water supply system is critical for drought mitigation, needing careful operation of water supply infrastructure to be effective (e.g. Fang, 2011; Hyde et al., 2004; Shih and Revelle, 1994). Measures taken to mitigate the effects of drought conditions in the Caribbean region have included the use of truck water for in-country redistribution, the rotation of water supply, increased desalination, and the importation of water from other countries using barges. As previously noted, The Bahamas has been classified as a water scare country, owing to its composition of islands which possess no rivers, lakes or other surface freshwater resources and groundwater hydrology characterised by shallow freshwater lenses (BEST, 2001). Added to this, land management is a major issue since the country has limited available land (The Bahamas has a total land area of 13,939 km2, less than 10% of its geographic area) and limited natural resources but heavy demand for land for tourism and settlement. This has given rise to increased pressures on the environment and made it prone to land degradation caused primarily by anthropogenic activity and climatic variations (BEST, 2006c). Due to predicted increases in temperature, The Bahamas Initial National Communication to the UNFCCC expects droughts in areas already prone to drought conditions (BEST, 2001). Additionally, GCM projections predict a tendency for decreases in precipitation in The Bahamas by as much as 30mm per month. On a more localised level, RCM projections indicate moderate decreases in total annual rainfall (See Section 3). This is quite significant considering the water scarcity issues the country already faces. In a country with such a fragmented distribution (29 major islands and 661 cays), the development of public utilities infrastructure crucial to maintaining a high standard of living is difficult. Drought is experienced in the south-eastern islands, which exacerbates inadequate water supplies. Additionally, the northern islands have cooler temperatures which, combined with low annual rainfall, can result in drought conditions (NCCC-BEST, 2005). The Bahamas Initial National Communication to the UNFCCC states an expected increase in the dependence on imported water supplies (BEST, 2001). Saline intrusion of freshwater lenses in The Bahamas Coastal aquifers are threatened by seawater intrusion with rising sea levels, exacerbated by a decrease in groundwater recharge through over-abstraction and decreasing precipitation (Bates et al., 2008; Lewsey et al., 2004; Werner and Simmons, 2009). A rise in sea level as little as 0.1 m may cause a decrease in aquifer thickness of more than 10 m (Bobba, 2002), leading to substantial declines in freshwater availability. Reductions in groundwater recharge to inland aquifers can also lead to seawater intrusion if they are next to saline aquifers (Chen et al., 2004), indicating a potential knock-on effect where coastal aquifers become saline due to sea-level rise, then neighbouring aquifers experience saltwater intrusion during dry periods with low groundwater recharge. With global average sea levels found to be rising at a rate of 1.8 ± 0.3 mm per year (White et al., 2005) and with rates increasing (Church and White, 2006) coastal aquifers may be severely impacted by saltwater intrusion and many countries may lose vital water resources. Storm surges from hurricanes can also cause extensive damage to aquifers (Anderson, 2002), the risk of which will increase as higher sea-levels reduce the level of the storm-surge required for contamination to occur. In the Caribbean, sea levels have been observed to have risen between 1.5 and 3 mm per year (see Section 3: Climate Modelling). Factors that increase the vulnerability of aquifers to saline intrusion include (i) their proximity to the sea, (ii) increasing abstractions due to rising demand from domestic, agricultural 31 and industrial uses (Karanjac, 2004), and (iii) declining groundwater recharge through reduced precipitation or an increased proportion of surface runoff through precipitation occurring in higher-intensity, shorterduration events (Bates et al., 2008) or decreased infiltration of water through land-cover changes agriculture (Scanlon et al., 2005; Zhang and Schilling, 2006). Groundwater extraction has been taking place in The Bahamas since 1927. Groundwater resources are particularly important in The Bahamas as they supply most of the country’s water needs. Trenches and bore wells are the main extraction points for water from freshwater lenses but large scale extraction from trenches is cheaper and easier to monitor than from bore wells (Cox et al., 2005). There are over 10,000 wells in New Providence that to a great extent are private and managed independently from the WSC operations (SEDU, 2002), which leads to uncontrolled abstraction. The lenses are also threatened by improper planning as occurs when canals and marinas are excavated through beaches (Strachan, 2010). Nassau’s water, which is sourced from Andros island, comes from North Andros Water resources (aquifer) and are collectively called the Barging Scheme Wellfields which consists of the New and the Old Wellfields. In 2004, these were capable of producing 8.46 and 12.33 million litres of water per day, respectively (UNESCO, 2008). The freshwater resources of The Bahamas are particularly vulnerable because more than 80% of the land area is just one meter or less above sea level (BEST, 2001). Freshwater lenses on the islands are expected to shrink as a result of decreased precipitation, SLR and indiscriminate abstraction. Sea level rise of around 1.5 to 3 mm per year has been observed at tidal gauging stations around the Caribbean and any subtle change could have exponential consequences for the country. The freshwater lenses in The Bahamas are already very vulnerable because more than 90% rest within 1.5 m from the surface of the land (WSC, 2011) and if projected sea level rise of 0.18 to 0.56m according to IPCC predictions by the year 2100 under the A2 Scenario or higher end scenarios of 1.45m does occur, the consequences to The Bahamas are clear. This rise in seal level could be temporary or the land could be permanently reclaimed by the sea. During storm surge events chloride levels can increase as they did during Hurricane Frances which has to be remediated (UNESCO, 2008). Further, higher sea levels will lead to the fresh water lens being closer to the surface of the land. This would expose the freshwater resources to increased evapotranspiration, leading to an increased risk of salinisation (BEST, 2001). Flooding and water quality in The Bahamas While GCM modelling projections indicate an overall tendency for decreases in overall precipitation across the Caribbean region (see Section 3 Climate Modelling), excluded from these projections is the potential of an increase in the frequency and intensity of storm events with associated heavy rainfall (Frei et al., 1998; Min et al., 2011), including those associated with hurricanes. Research by Emanuel (2005) shows a strong correlation between hurricane size and sea surface temperature, suggesting an upward trend in hurricane destructive potential. Statistical analysis (Trenberth, 2005) and modelling (Knutson and Tuleya, 2004) suggest that hurricane intensity will increase, with the north Atlantic Ocean in particular showing an increasing trend in storm frequency (Deo et al., 2011). Intense rainfall from storm events may only last a few hours, but can result in serious rapid-onset flooding, particularly when they occur in catchments that are small, steep or highly urbanised, as is the case in the much of the Caribbean region. Floods are a particular problem for water resources because, aside from the potential for loss of life and property, they can affect water quality and have implications for sanitation and cause serious soil erosion. Flooding erodes topsoil along with animal waste, faeces, pesticides, fertilisers, sewage and garbage, which may then contaminate groundwater sources as well as marine areas (Poesen, 2003). 32 In The Bahamas State of the Environment Report it is noted that “Extensive damage to landscape, particularly shoreline erosion in addition to flooding and structural damage, is usually experienced” (Cox et al., 2005). Hurricanes result in extreme waves which are particularly destructive at high tides (ICFC, 2002) but storm surges have been known to cause the most flood damage (BEST, 2001). Hurricanes, tropical storms and other heavy-rain events may result in water quality being compromised which could be compounded by land degradation issues (BEST, 2001). Current development patterns combined with the low-lying topography (80% of the island is just 1.5 m above sea level) also make The Bahamas vulnerable and even structures that are meant to protect the coasts can have adverse effects. For instance, sea walls which are built too high are not only unable to support the water load placed on them, but also result in trapped water which contributes to flooding problems (ICFC, 2002) and can further contribute to the overall process of agricultural soils salinisation (BEST, 2001). The water system is also vulnerable due to the porous nature of the limestone substrate which makes contamination more likely (Buchan, 2000; ICFC, 2002). On average, at least 3 hurricanes pass within 100 miles of The Bahamas annually (BEST, 2001) and linked to this it is expected that episodes of sea flooding, inundation and the resultant salinisation of freshwater will increase (ICFC, 2002). The costs of damage to infrastructure such as pipelines and storage tanks (and decaying drainage infrastructure) and disruptions at pumping stations and filtration system pumps that result due to electricity outages (which lack standby generators) also create water supply issues during hurricanes and heavy rains (USACE, 2004). Hurricane Frances caused storm surges of 3.5 – 4.5 m which caused flooding that affected water supplies among other infrastructure in Abaco and Grand Bahama (Jones, 2005). Flood management initiatives in The Bahamas include wetland protection and the use of hard engineering structures such as sea walls, culverts, canals, and man-made ponds. However, flood plain maps of The Bahamas need to be developed and the storm surge atlas of the islands is incomplete (USACE, 2004). Stormwater management is not developed as has been stated in a stormwater report “the Bahamian government does not currently have capacity for stormwater management, and that non-regulatory approaches to stormwater management could provide more feasible short-term solutions” (Elwell et al., 2008). To prevent flooding occurring, the WSC have proposed to develop “surface drainage systems and raise road and plot levels (USACE, 2004). 33 4.2. Energy Supply and Distribution 4.2.1. Background A global perspective Tourism is a significant user of energy and a concomitant contributor to emissions of greenhouse gases. In various national comparisons, tourism has been identified as one of the most energy-intense sectors, which moreover is largely dependent on fossil fuels (e.g. Gössling et al. 2005, Patterson 2003). Likewise, the growing energy intensity of economies in the Caribbean has caused concern among researchers (e.g. Francis et al. 2010). Globally, tourism causes 5% of emissions of CO2, the most relevant greenhouse gas. Considering the radiative forcing of all greenhouse gases, tourism’s contribution to global warming increases to 5.2-12.5% (Scott et al. 2010). The higher share is a result of emissions of nitrous oxides (NOx) as well as water leading to the formation of aviation-induced clouds (AIC), which cause additional radiative forcing. The range in the estimate is primarily attributed to uncertainties regarding the role of AIC in trapping heat (Lee et al. 2009). Aviation is consequently the most important tourism-subsector in terms of its impact on climate change, accounting for at least 40% (CO2) of the contribution made by tourism to climate change. The sector is followed by cars (32% of CO2), accommodation (21%), activities (4%), and other transport (3%), notably cruise ships (1.5%). In the future to 2050, emissions from tourism are expected to grow considerably. Based on a business-asusual scenario for 2035, which considers changes in travel frequency, length of stay, travel distance, and technological efficiency gains, UNWTO-UNEP-WMO (2008) estimate that emissions will increase by about 135% compared to 2005. Similar figures have been presented by the World Economic Forum (WEF 2009). Aviation will remain the most important emissions sub-sector of the tourism system, with expected emission growth by a factor 2-3. As global climate policy will seek to achieve considerable emission reductions in the order of 50% of 1990 emission levels by 2050, aviation, and tourism more generally, will be in stark conflict with achieving global climate goals, possibly accounting for a large share of the sustainable emissions budget (Figure 4.2.1). 34 Figure 4.2.1: Global CO2 emission pathways versus unrestricted tourism emissions growth (Source: Scott et al., 2010.) Lines A and B in Figure 4.2.1 represent emission pathways for the global economy under a -3% per year (A) and -6% per year (B) emission reduction scenario, with emissions peaking in 2015 (A) and 2025 (B) respectively. Both scenarios are based on the objective of avoiding a +2°C warming threshold by 2100 (for details see Scott et al. 2010). As indicated, a business-as-usual scenario in tourism, considering current trends in energy efficiency gains, would lead to rapid growth in emissions from the sector (line C). By 2060, the tourism sector would account for emissions exceeding the emissions budget for the entire global economy (intersection of line C with line A or B). Achieving emission reductions in tourism in line with global climate policy will consequently demand considerable changes in the tourism system, with a reduction in overall energy use, and a switch to renewable energy sources. Such efforts will have to be supported through technology change, carbon management, climate policy, behavioural change, education and research (Gössling, 2010). Carbon taxes and emission trading are generally seen as key mechanisms to achieve emission reductions. Destinations and tourism stakeholders consequently need to engage in planning for a low-carbon future. The Caribbean perspective It is widely acknowledged that the Caribbean accounts for only 0.2% of global emissions of CO2, with a population of 40 million, i.e. 0.6% of the world’s population (Dulal et al. 2009). Within the region, emissions are however highly unequally distributed between countries (Figure 4.2.2). For instance, Trinidad & Tobago, as an oil-producing country, has annual per capita emissions reaching those of high emitters such as the USA (25 t CO2). The Cayman Islands (7 t CO2 per capita per year) are emitting in the same order as countries such as Sweden. Bahamas is emitting considerably more (6.3 t CO2) on a per capita basis than the world annual average of 4.3 t CO2. In the future, global emissions have to decline considerably below 4.3 t CO2 per year – the Intergovernmental Panel on Climate Change (IPCC) suggests a decline in emissions by 20% by 2020 (IPCC 2007), corresponding to about 3 t CO2 per capita per year, a figure that also considers global population growth. While there is consequently room for many countries in the region to increase per capita emissions, including in particular Haiti, many of the more developed countries in the Caribbean will need to adjust per capita emission budgets downwards, i.e. reduce national emissions in the mediumterm future. 35 Figure 4.2.2: Per capita emissions of CO2 in selected countries in the Caribbean, 2005 (Source: Hall et al. 2009, based on UNSD, 2009) Important in the context of this report is that in most Caribbean countries, tourism is a major contributor to emissions of greenhouse gases (Simpson et al. 2008; see also country reports in the Risk Atlas). As these emissions are not usually quantified, however, the purpose of this assessment is to look in greater detail into energy use by sector. The Bahamas Tourism is a mainstay of The Bahamas economy, with expenditures totalling US $1,948 million in 2009 (UNWTO, 2010), consequently generating a large share of GDP: 60% according to NEPC (2008), including tourism-related construction and manufacturing, though only 26% of GDP ($7.538 million in 2010) if based on the CIA World Factbook (2011). Tourism is also said to employ directly and indirectly 50% of the workforce (BEST, 2001). The Bahamas is now ranked 49th in the global comparison of per capita GDP, i.e. before countries such as New Zealand, and right behind Spain and Israel, with a per capita GDP of US $28,600 (comparison based on purchasing power parities, 2010 estimate; CIA World Factbook, 2011). As a service-based economy with a mainstay in tourism, The Bahamas is becoming increasingly energy intense at a projected rate of 8% per year in the period 2008-2013, with imported petroleum products covering 99% of consumer energy demand (NEPC, 2008). Oil imports for local consumption is estimated to have exceeded US $1 billion in 2008 (NEPC, 2008), with imports of 20,560 bbl/day, which would correspond to about 0.943 Mt of oil or emissions of roughly 3 Mt CO2 in 2009 (estimate). Currently, renewable energy plays no role in The Bahamas. The Bahamas Electricity Corporation is the major power company in the islands, operating 29 generating plants (28 run on diesel, one on gas). These have a combined capacity of 438 MW (NEPC, 2008). In 2007, The Bahamas Electricity Corporation used heavy fuel oil to generate 68% of electricity and automotive diesel oil to generate 32% of electricity. Another 142 MW installed generating capacity are run by the Grand Bahama Power Company Limited on the island of Grand Bahama, including a 27 MW diesel plant, two gas turbines (35 MW) and a 75 MW steam plant. 36 There appear to be no statistics detailing the use of energy in The Bahamas, though reporting to UNFCCC in 2001 (BEST, 2001) shows that in 1994, some 32.9% of fuels used were gas/dieses oil, followed by gasoline (30.5%) and residual fuel oil (bunker fuels) (25.9%). Jet kerosene (3.3%) and LPG (4.1%) were less important. Table 4.2.1: Fuel imports into The Bahamas in thousands of barrels of energy, 1990-1994 Fuel Type Gasoline Jet Kerosene Gas and diesel oil Residual Fuel Oil (Bunker C) LPG Other Oils 1990 1287 187 1759 879 156 225 1991 1327 141 1595 787 201 381 1992 1347 120 1382 974 217 34 1993 1345 126 1083 1537 164 24 1994 1303 148 1301 1442 160 33 % Total 30.5 3.3 32.9 25.9 4.1 3.2 (Source: BEST, 2001) Energy use translated into emissions of 1,9 Mt of emissions of CO2 in 1994 (Table 4.2.2), a figure that would have increased to roughly 3 Mt CO2 in 2009, based on an estimated use of 0.943 Mt of oil imported in 2009 and a conversion factor of 3.2. Table 4.2.2: Estimated emissions of CO2 from fossil fuel energy use in kt, 1990 & 1994 Fuel Type Gasoline Jet Kerosene Gas and diesel oil Residual Fuel Oil (Bunker C) LPG Other Oils Total (Gg Co2) 1990 470.7 55.0 802.4 424.8 39.7 101.5 1894.2 1994 476.5 43.6 593.5 696.9 40.8 14.9 1866.2 % Total 25.2 2.6 37.1 29.8 2.1 3.1 (Source: BEST, 2001) It is difficult to identify the share of tourism in national energy use based on this data. While jet kerosene (domestic) is identified at 2.6% of the total, and bunker fuels at 29.8%, it is unclear which share of energy is used in hotels or for tourist activities. The situation becomes further complicated when international bunker fuels are considered, which are not part of national greenhouse gas inventories (Table 4.2.3). These accounted for 0.34 Mt CO2 (aviation) and 0.31 Mt CO2 (marine bunkers) respectively, though it is unclear how their use has increased since 1994. Table 4.2.3: CO2 emissions from international bunkering in The Bahamas (kt) Aviation Marine Total all Bunkers 1990 492 404 896 1994 341 305 645 % Total 54 46 (Source: BEST, 2001) In the absence of detailed data on fuel use in tourism, Table 4.2.4 provides a combined top-down and bottom-up analysis to derive an estimate of emissions in this sector. Table 4.2.4 shows the distribution of energy use by tourism sub-sector. Note, however, that this estimate is based on data with considerable uncertainties, including extrapolations from 1994-2009. Results indicate that emissions from tourism accounted for 1.5 Mt CO2 in 2009. Excluding the share of bunker fuels 37 bunkered abroad to fly tourists to The Bahamas (0.378 Mt), tourism would account for about 36% of national emissions of 3 Mt CO2. Table 4.2.4: Assessment of CO2-emissions from tourism in Bahamas, data for various years Tourism sector 1) Aviation sub- 2) Jet kerosene 3) Road transport 4) Cruise ships 5) Accommodation 6) Activities 7) Waste Sub-total Indirect energy use (factor 1.15) Total Energy use Emissions % Assumptions 0.242 Mt fuel 0.756 Mt CO2 50 0.058 Mt fuel 0.008 Mt fuel 0.062 Mt fuel 107 GWh - 0.180 Mt CO2 0.027 Mt CO2 0.200 Mt CO2 0.107 Mt CO2 0.036 Mt CO2 0.001 Mt CO2 12 2 13 7 2 <1 15% non-tourism related freight & same-day visits Fuel use based on national bunker statistics Including tourists, not day visitors Bunkers for cruise ships Based on energy statistics from Barbados Global average Inventory submitted to UNFCCC, from methane 1.307 Mt CO2 0.196 Mt CO2 86 15 1.503 Mt CO2 100 To account for life-cycle emissions 1) Aviation fuels: it is unclear how fuel use for aviation has increased since 1994 (Table 4.2.3), and the growth estimate is thus based on the observed increase of tourist arrivals in this period by about 31% (from 3.5 million to 4.6 million in 2009). Consequently, it is assumed that emissions from aviation have increased from 0.341 Mt CO 2 to 0.447 Mt CO2. Deducting a share of 15% for non tourism-related freight and same-day visitors, this results in 0.378 Mt of CO2. Calculated for the share of visitors arriving by air (1.252 million), emissions per tourist arriving by air would amount to 0.3 t CO 2 (considering only bunker fuels bunkered in The Bahamas, i.e. about twice this amount is used for the return trip). Multiplied by a factor 2, to also include the arrival, this would result in energy use of 0.242 Mt of fuel and emissions of 0.756 Mt CO 2. Note that this is not the share of emissions associated to The Bahamas (UNFCCC legal framework), rather than the amount reflecting the tourism system’s energy- and emissions intensity. 2) According to BEST (2001), 0.044 Mt of jet fuel where used in 1994. Even this share is extrapolated, based on the assumption that fuel use has increased by 31% by 2009. Consequently, fuel use for domestic air transport has increased to 0.058 Mt, corresponding to emissions of 0.180 Mt CO2. 3) Road Transport: 1.327 million international tourist arrivals in 2009 (UNWTO 2010), with each tourist travelling an assumed 150 pkm on the island during the stay. At an assumed average of 0.133 kg CO2 per pkm (50% occupancy rate; UNWTO-UNEP-WMO 2008), emissions are in the order of 20 kg CO2 (corresponding to about 8 l of diesel) per tourist, totalling 0.027 Mt CO 2, or about 0.008 Mt of fuel. Cruise tourists are not included, as these are day visitors not likely to engage in longer trips. 4) According to BEST (2001), marine bunker fuel use resulted in emissions of 0.305 Mt CO2 in 1994. Even for this value a 31% growth rate is assumed, resulting in 0.400 Mt CO2. As it is unknown which share of bunker fuels is used by cruise ship, a 50% share is here considered, i.e. 0.200 Mt CO2, or 5) According to a study carried out in Barbados in 2010, hotels (n=22) used on average 22 kWh of energy per guest night. This value is used for Bahamas. At 4.868 million nights, energy use would correspond to 107 GWh. Electricity production is assumed to be less efficient in Bahamas, and a value of 1 kg CO2 per kWh is assumed here, resulting in emissions of 0.107 Mt CO2. 6) Activities are included with the global assumption of 27 kg CO2 per tourist, as provided in UNWTO-UNEP-WMO 2008. Given the energy-intense character of many activities in tropical environments, including boat trips, this value may be conservative. The 1.327 million tourists would thus have caused emissions from activities corresponding to 0.036 Mt CO 2. As energy use for activities will be partially fossil fuel, and partly electricity based, it is difficult to translate these values into energy use. 7) Inventory submitted to UNFCCC, BEST (2001: 40), figure for 1994. (Source: Chenact, 2010; BEST, 2001; DEFRA, 2010; UNWTO-UNEP-WMO, 2008; UNWTO, 2010) 38 4.2.2. Trends in energy use in Bahamas Along with growth in demand, an increase in energy prices is anticipated. Current generating capacity in Bahamas is approximately 580 MW (2008). Based on the assumption of an 8% annual growth in peak electricity demand, Bahamas will require approximately 852 MW of installed capacity by 2013 (NEPC 2008). Though not including specific targets, the Government of the Commonwealth of The Bahamas has defined its National Energy Vision as: The Bahamas will become a world leader in the development and implementation of sustainable energy opportunities, by aggressively re-engineering our legislative, regulatory, and institutional frameworks; retooling our human resources; and implementing a diverse range of well researched and regulated, environmentally sensitive and sustainable energy programmes and initiatives, built upon our geographical (both proximity and diversity), climatic (sun, wind, and sea), and traditional economic strengths (tourism and banking). (NEPC 2008: 4) The following sections will present and discuss policy targets as currently envisaged by The Bahamas to reduce the islands’ dependency on imported oil and concomitant leakage of economic resources. Reducing energy use and emissions The Government of The Bahamas is aware of its enormous dependence on fossil fuels (NEPC 2008), and the need to increasingly use renewable energies to meet its energy demand. The major obstacle is currently seen in the fact that the country’s Electricity Act does not foresee the use of renewable energies: “the legal and regulatory framework of the energy sector and fiscal incentives would need to be reviewed and amended before any investments for commercial applications” (NEPC 2008: 8). At the same time, renewable energy is becoming more economically competitive, due to falling production costs and the increasing price of oil. Nevertheless, expansion of renewable energy is prohibited by a number of obstacles, such as the pricing structure of the government, which sets low prices for electricity and a single pricing structure throughout The Bahamas (NEPC 2008). Plans to expand renewable energy generation include wind, waste-to-energy, and ocean thermal. Currently, however, none of the islands’ wind, waste-to-energy, or ocean thermal potential has been assessed. Furthermore, the government’s priority list includes energy security and access to energy, energy regulation, energy efficiency and conservation, energy economics, renewable technologies and “global opportunities”, but little work appears to have been done to implement change in the energy system. On the contrary, barriers to change are seen to include the lack of regulatory framework; technological maturity delays; low technical ability to acquire and/or exploit the available sources; public awareness, financial resources, the high relative cost of renewable energy and low private sector involvement (NEPC 2008). To move forward, NEPC (2008) suggests the following short- (1-5 years), medium- (5-10 years), and long-term (10-20 years) targets. Short-term targets Completion of data gap analysis on the various sectors, particularly the transportation sector Complete phase-out of incandescent light bulbs and their replacement with mercury-free compact fluorescent light bulbs (CFL) by 2010 Investigation and implementation of waste-to-energy technology for New Providence Investigate the option of combining heat and power and cogeneration type technologies Explore the use of biofuels 39 Develop a means to measure the average annual unit cost of each form of energy consumed by sector and geographic area ($/gallon, $/kWh, $/bbl) Develop a means to measure and track the annual national energy bill and the impact on the economy Develop a regulatory framework to monitor, assess fossil fuel leakage, reduce losses of imported products and conserve resources of products imported for domestic consumption Develop a means to measure the economic impact of the annual national expenditure on traditional sources of energy (e.g. portions multiplied locally: number of jobs and estimated payroll); percentage of raw materials and other consumer goods and services procured locally; and percentage of industry locally owned Introduce an integrated traffic management system and public transport system: o Reduce average commute times on New Providence by 20% by 2010 o Increase ridership of public transport to 10-20% by 2010 o Employ advanced energy efficient lighting systems in public spaces supported by signage and traffic management systems Reduce public buildings energy usage by 30% by 2010 Medium-term targets Increase the penetration of renewable energy sources in the Commonwealth to 10- 20% of supplies Deploy renewable energy technologies in several small communities with >50% of power from renewable sources Increase fuel efficiency of motor vehicles to 30–35 mpg for 70% of licensed vehicles through the application of incentives to import and use more efficient vehicles in private and private sector transport Reduce dependence on imported fuel oils by: o Increased building energy efficiency by introducing standards in public buildings for cooling public spaces, heating water, lighting and the deployment of the highest energy star ratings of equipment o Increased use of solar hot water systems to 20 to 30% of all households o Increased efficiency of cooling systems and increasing SEER ratings o Increasing the deployment and usage of energy efficient lighting systems and o fenestration systems (windows) in public buildings o increased public awareness and education on RE potential and usage o Requiring all Government financed homes and buildings use, install, operate and maintain solar hot water systems Develop pilot and demonstration systems for residential cooling using reverse thermal gradient in low cost housing estates Assess the Commonwealth’s ocean thermal energy conversion (OTEC) potential in municipal-scale power systems and develop a pilot activity in this regard Assess the Commonwealth’s wave, tide and wind potential as well as identify potential sites for pilot and or demonstration facilities Assess the Commonwealth’s biofuels potential assessed for the islands of Grand Bahama, Andros and Abaco Develop a means to estimate the average annual unit cost of alternative sources of energy Develop a means to measure the economic impact of the annual national expenditure on alternative sources of energy e.g., portions multiplied locally: number of jobs and payroll; 40 percentage of raw materials and other consumed goods and service procured locally; and the percentage of industry locally owned Develop filters to achieve the optimum level of local participation in any energy entity that should be pursued during a period of ownership transition, e.g., cost and pace of change of technology, capital requirements, existence of qualified Bahamian resources, access to supporting supply and technical resources, compliance with multi-national treaties Long-term targets All new installations of water heaters are solar water heaters Develop a programme to pursue cost-effective opportunities in reducing energy consumption Develop a programme to minimise greenhouse gas emissions Establish a funding mechanism, sources for energy use and constant technology innovations and the engagement of the private sector through private/ public partnerships in the expansion, upgrade and renewal of the energy services infrastructure Develop extended targets for changes in the energy mix based on extended unit cost and economic impact estimates by energy source, informed by local experiences and historical data (Source: NEPC 2008) It is notable that the various measures suggested above do not specifically address aviation and shipping, which are likely to be the two single most relevant fuel-consuming sectors in The Bahamas. Given expected growth rates in fuel consumption, it is thus unlikely that measures as envisaged by the government will lead to significant relative reductions in fuel use, and absolute fuel use is consequently poised to grow. 4.2.3. Vulnerability of the energy sector to climate change Two impacts related to energy and emissions are of relevance for the tourism sector and the wider economy. First of all, energy prices have fluctuated in the past, and there is evidence that the cost of oil on world markets will continue to increase. Secondly, if the international communities’ climate objective of stabilising temperatures at 2°C by 2100 is taken seriously, both regulation and market-based instruments will have to be implemented to cut emissions of greenhouse gases. Such measures would affect the cost of mobility, with in particular air transport being a highly energy- and emission-intense sector. The following sections will discuss past and future energy costs, as well as the challenges of global climate policy. Energy costs High and rising energy costs should self-evidently lead to interest in more efficient operations, but this does not appear to be the case in tourism more generally. Since the turn of the 19th century, world oil prices only once exceeded those of the energy crisis in 1979 after the Iranian revolution. Even though oil prices declined because of the global financial crisis in 2008 (Figure 4.2.3) – for the first time since 1981 (IEA 2009) - world oil prices have already begun to climb again in 2009, and are projected to rise further. The International Energy Agency (IEA 2010) projects for instance, that oil prices will almost double between 2009-2035 (in 2009 prices). Notably, Figure 4.2.3 shows the decline in oil prices in 2009; in March 2011, Bloomberg reported Brent spot prices exceeding US $120/barrel. 41 Figure 4.2.3: Crude oil prices 1869-2009 (Source: after WTRG Economics, 2010) The International Energy Agency (IEA 2010) anticipates that even under its New Policies Scenario, which favours energy efficiency and renewable energies, energy demand will be 36% higher in 2035 than in 2008, with fossil fuels continuing to dominate demand. At the same time there is reason to believe that ‘peak oil’, i.e. the maximum capacity to produce oil, may be passed in the near future. The UK Energy Research Centre (2009), for instance, concludes in a review of studies that a global peak in oil production is likely before 2030, with a significant risk of a peak before 2020. Note that while there are options to develop alternative fuels, considerable uncertainties are associated with these options, for instance with regard to costs, safety, biodiversity loss, or competition with food production (e.g. Harvey and Pilgrim 2011). Rising costs for conventional fuels will therefore become increasingly relevant, particularly for transport, the sector most dependent on fossil fuels with the least options to substitute energy sources. Within the transport sector, aviation will be most affected due to limited options to use alternative fuels, which have to meet specific demands regarding safety and energy-density (cf. Nygren et al. 2009, Upham et al. 2009). Likewise, while there are huge unconventional oil resources, including natural gas, heavy oil and tar sands, oil shales and coal, there are long lead times in development, necessitating significant investments. The development of these oil sources is also likely to lead to considerably greater environmental impacts than the development of conventional oil resources (IEA, 2009). These findings are relevant for the tourism system as a whole because mobility is a precondition for tourism. Rising oil prices will usually be passed on to the customer, a situation evident in 2008, when many airlines added a fuel surcharge to plane tickets in order to compensate for the spike in oil prices (Sorensen, 2008). Increased travel costs can lead to a shift from long haul- to shorter-haul destinations. The cost of energy is one of the most important determinants in the way people travel, and the price of oil will influence travel patterns, with some evidence that in particular low-fare and long-haul flights are susceptible to changes in prices (e.g. Mayor and Tol, 2008). Moreover, it deserves mention that oil prices are not a simple function of supply and demand, rather than involving different parameters such as longterm contracts and hedging strategies, social and political stability in oil producing countries as well as the 42 global security situation more generally. This is well illustrated in the volatility of oil prices in the five-year period 2002-2009, when the world market price of aviation fuel oscillated between a low of US $25 in 2002 (Doganis, 2006) and US $147 in mid-2008 (Gössling and Upham 2009). The huge rise in oil prices, which was not expected by most actors in tourism, had a severe impact particularly on aviation. As late as December 2007, IATA projected the average 2008-price of a barrel of oil at US$87, up 6% from the average price level in 2007. In early 2008, IATA corrected its projection of fuel prices to an average of US $106 per barrel for 2008, an increase of 22% over its previous estimate. However, in July 2008, oil prices reached US $147 per barrel, and IATA corrected its forecast for average oil prices in 2008 to almost US $142 per barrel, a price 75% higher than a year ago (IATA 2009). In autumn 2008, again seemingly unexpected by the overwhelming majority of actors in tourism, the global financial system collapsed due to speculation of financial institutions with various forms of investment. As a result, the global economy went into recession, and by the end of 2008, oil prices had reached a low of US $40 per barrel. Fuel price volatility, in late 2008 exceeding 30% of operational costs (IATA 2009, see Figure 4.2.4), had a range of negative impacts for airlines. Before the financial crisis, it appeared as if low-fare carriers would be severely affected by high fuel prices, with even profitable airlines reporting falling profits, grounded aircraft and cancelled routes: high fuel prices had clearly affected the perception of travellers to fly at quasi-zero costs (cf. Gössling and Upham 2009). However, when fuel costs declined because of the financial crisis, lowcost carriers were apparently seen by many travellers as the only airlines still offering flights at reasonable prices, thus reversing passenger choices to the disadvantage of the flag carriers. These examples show that high and rising oil prices, as well as price volatility can significantly affect tourism and in particular airlines, increasing destination vulnerability. Figure 4.2.4: Fuel costs as part of worldwide operating cost (Source: IATA, 2009) Climate policy Climate change has, since the publication of the Intergovernmental Panel on Climate Change’s 4th Assessment Report (IPCC 2007), been high on the global political agenda. The most recent UN Conference of Parties (COP) in Mexico in December 2010 agreed that increases in temperature should be stabilised at a maximum of 2°C by 2100. Notably, the 39 member states of the Alliance of Small Island 43 Developing States have called in a recent Declaration to the United Nations for a new climate change agreement that would ensure global warming to be kept at a maximum of 1.5°C (AOSIS, 2009). So far, the European Union is the only region in the world with a legally binding target for emission reductions, imposed on the largest polluters. While it is likely that the EU ETS will not seriously affect aviation, the only tourism sub-sector to be directly integrated in the scheme by 2012 (e.g. Mayor and Tol 2009, see also Gössling et al. 2008), discussions are ongoing of how to control emissions from consumption not covered by the EU ETS. This is likely to lead to the introduction of significant carbon taxes in the EU in the near future (Euractiv, 2009). Moreover, the EU ETS will set a tighter cap on emissions year-on-year, and in the medium-term future, i.e. around 2015-2025, it can be assumed that the consumption of energyintense products and services will become perceivably more expensive. There is also evidence of greater consumer pressure to implement pro-climate policies. While climate policy is only emerging in other regions, it can be assumed that in the next years, further legislation to reduce emissions will be introduced – the new air passenger duty in the UK is a recent example, and has already been followed by Germany’s departure tax (as of 01/01/2011). As of 1 November 2010, the UK introduced a new air passenger duty (APD) for aviation, which replaced its earlier, two-tiered ADP. The new ADP distinguishes four geographical bands, representing one-way distances from London to the capital city of the destination country/territory, and based on two rates, one for standard class of travel, and one for other classes of travel (Table 4.2.5). Table 4.2.5: UK air passenger duty as of 1 November 2011 Band, and appropriate distance in miles from Band A (0-2000) Band B (2001-4000) Band C (4001-6000) Band D (over 6000) In the lowest class of travel (reduced rate) 2009-10 2010-11 £11 £12 £45 £50 £55 £60 £75 £85 In other than the lowest class of * travel (standard rate) 2009-10 2010-11 £22 £90 £100 £110 £24 £120 £150 £170 (Source: HM Revenue & Customs, 2008) Scientifically, there is general consensus that a ‘serious’ climate policy approach will be paramount in the transformation of tourism towards becoming climatically sustainable, as significant technological innovation and behavioural change will demand strong regulatory environments (e.g. Barr et al. 2010, Bows et al. 2009, Hickman and Banister 2007; see also Giddens 2009). As outlined by Scott et al. (2010), “serious” would include the endorsement of national and international mitigation policies by tourism stakeholders, a global closed emission trading scheme for aviation and shipping, the introduction of significant and constantly rising carbon taxes on fossil fuels, incentives for low-carbon technologies and transport infrastructure, and, ultimately, the development of a vision for a fundamentally different global tourism economy. While this would demand a rather radical change from current business models in tourism, all of these aspects of a low-carbon tourism system are principally embraced by business organisations. For instance, the World Economic Forum (2009) suggests as mechanisms to achieve emission reductions i) a carbon tax on non-renewable fuels, ii) economic incentives for low-carbon technologies, iii) a cap-and-trade system for developing and developed countries, and iv) the further development of carbon trading markets. Furthermore, evidence from countries seeking to implement low-carbon policies suggests that the tourism businesses themselves also call for the implementation of legislation to curb emissions, a result of the wish for “rules for all”, with in particular pro-climate oriented businesses demanding regulation and the 44 introduction of market-based instruments to reduce emissions (cf. Ernst & Young, 2010, PricewaterhouseCoopers, 2010). There is consequently growing consensus among business leaders and policy makers that emissions of greenhouse gases represent a market failure. The absence of a price on pollution encourages pollution, prevents innovation, and creates a market situation where there is little incentive to innovate (OECD 2010b). While governments have a wide range of environmental policy tools at their disposal to address this problem, including regulatory instruments, market-based instruments, agreements, subsidies, or information campaigns, the fairest and most efficient way of reducing emissions is increasingly seen in higher fuel prices, i.e. the introduction of a tax on fuel or emissions (e.g. Sterner, 2007, Mayor and Tol, 2007, 2008, 2009, 2010a,b; see also OECD, 2009, 2010b; WEF, 2009; PricewaterhouseCoopers, 2010). As outlined by OECD (2010b: 2): Compared to other environmental instruments, such as regulations concerning emission intensities or technology prescriptions, environmentally related taxation encourages both the lowest cost abatement across polluters and provides incentives for abatement at each unit of pollution. These taxes can also be a highly transparent policy approach, allowing citizens to clearly see if individual sectors or pollution sources are being favoured over others. The overall conclusion is thus that emerging climate policy may become more felt that in the future, and tourism stakeholders should seek to prepare for this. Vulnerabilities Generally, a destination could be understood as vulnerable when it is highly dependent on tourism, and when its tourism system is energy intense with only a limited share of revenues staying in the national economy. Figure 4.2.5 shows this for various islands, expressed as a climate policy risk assessment. In the case of Bahamas, vulnerability is lower than in other countries, because the share of tourism in national GDP is still comparably low, while the energy intensity of the island’s tourism system is also low. Destination climate policy risk assessment: eco-efficiency and tourism revenues as share of GDP. Notes: Lines represent the weighted average values for all 10 islands; H is either high (unfavourable) eco-efficiency or high dependency on tourism, L is either low (favourable) eco-efficiency or low dependency on tourism, eco-efficiency=local spending compared to total emissions, i.e. not considering air fares. 45 Figure 4.2.5: Vulnerability of selected islands, measured as eco-efficiency and revenue share (Source: Gössling et al. 2008) While global climate policy affecting in particular transports is currently only emerging, there are already a number of publications seeking to analyse the consequences of climate policy for in particular tourismdependent islands. There is general consensus that current climate policy is not likely to affect mobility because international aviation is exempted from value-added tax (VAT), a situation not likely to change in the near future due to the existence of a large number of bilateral agreements. Furthermore, emission trading as currently envisaged by the EU would, upon implementation in 2012, increase the cost of flying by just about €3 per 1,000 passenger-kilometres (pkm) at permit prices of €25 per ton of CO2 (Scott et al. 2010). Similar findings are presented by Mayor and Tol (2010), who model that a price of €23/t CO2 per permit will have a negligible effect on emissions developments. Other considerable increases in transport costs due to taxation are not as currently apparent in any of the 45 countries studied by OECD & UNEP (2011), though such taxes may be implemented in the future. The example of the UK has been outlined above and Germany introduced a departure tax of €8, €25 and €45 for flights <2,000 km, 2,000-4,000 km and >4,000 km as of 1 January 2011. The implications of the EU-ETS for tourism in island states were modelled by Gössling et al. (2008). The study examined the implications of the EU-ETS for European outbound travel costs and tourism demand for ten tourism-dependent less developed island states with diverse geographic and tourism market characteristics. It confirmed that the EU-ETS would only marginally affect demand to these countries, i.e. causing a slight delay in growth in arrival numbers from Europe through to 2020, when growth in arrivals would be 0.2% to 5.8% lower than in the baseline scenario (Gössling et al. 2008). As the Gössling et al. (2008) study only looked at climate policy, but omitted oil prices, Pentelow and Scott (2010) modelled the consequences of a combination of climate policy and rising oil prices. A tourist arrivals model was constructed to understand how North American and European tourist demand to the Caribbean region would be affected. A sensitivity analysis that included 18 scenarios with different combinations of three GHG mitigation policy scenarios for aviation (represented by varied carbon prices), two oil price projections, and three price elasticity estimates was conducted to examine the impact on air travel arrivals from eight outbound market nations to the Caribbean region. Pentelow and Scott (2010) concluded that a combination of low carbon price and low oil price would have very little impact on arrivals growth to the 46 Caribbean region through to 2020, with arrivals 1.28% to 1.84% lower than in the BAU scenario (the range attributed to the price elasticities chosen). The impact of a high carbon price and high oil price scenario was more substantive, with arrivals 2.97% to 4.29% lower than the 2020 BAU scenario depending on the price elasticity value used. The study concluded: It is important to emphasize that the number of arrivals to the region would still be projected to grow from between 19.7 million to 19.9 million in 2010 to a range of 30.1 million to 31.0 million in 2020 (Pentelow and Scott 2010). A detailed case study of Jamaica further revealed the different sensitivity of market segments (package vacations) to climate policy and oil price related rises in air travel costs (Pentelow and Scott 2010; see also Schiff and Becker 2010 for a New Zealand study of price elasticities). Pentelow and Scott (2010) concluded that further research is required to understand the implications of oil price volatility and climate policy for tourist mobility, tour operator routing and the longer- term risks to tourism development in the Caribbean. Overall, current frameworks to mitigate GHG emissions from aviation do not seem to represent a substantial threat to tourism development (Mayor and Tol 2007, Gössling et al. 2008, Rothengatter 2009), but new regulatory regimes and market-based instruments to reduce emissions in line with global policy objectives would cause changes in the global tourism system that could affect in particular SIDS. To anticipate these changes and to prepare the vulnerable tourism economies in the Caribbean to these changes should thus be a key management goal for tourism stakeholders. Climate change impacts on energy generation, distribution and infrastructure A report on the potential impacts of climate change on the energy sector published by the U.S. Department of Energy distinguishes between direct impacts: which affect energy resource availability, fuel and power production, transmission and distribution processes; and indirect impacts which are brought on by other sectors through forward or reverse linkages with the energy sector, and may include competition for shared resources, trends in demand and supply and pricing. These impacts are not only limited to traditional (fossil fuel) based energy systems, but renewable systems as well. While direct impacts are more visible, the costs of indirect impacts can be difficult to quantify and often exceed those of direct impacts, given the inter-relationships between energy and other sectors (U.S. Department of Energy/National Energy Technology Laboratory, 2007). Similarly, Contreras-Lisperguer and de Cuba (2008) have outlined a number of potential impacts of climate change on both traditional and renewable energy systems, with varying consequences for energy production and transmission efficiency, energy prices and trends in demand and consumption. The Bahamas depends almost entirely on fossil fuels for energy production, with the aim of reducing this dependence by including various renewable energy technologies in the future. Potential physical climate change impacts specific to traditional energy production systems as well as the renewable technologies being considered by the Government of the Commonwealth of The Bahamas are outlined below. Since The Bahamas is at the stage of planning for and implementing renewable energy systems, special consideration should be given to the physical impacts that can affect these systems in the planning process. An increase in the intensity (and possibly frequency) of severe low pressure systems, such as hurricanes, has the potential to affect both traditional and renewable energy production and distribution infrastructure, including generating plants, transmission lines, and pipelines. Most, if not all of the energybased infrastructure in The Bahamas is therefore vulnerable to impacts from tropical storms and hurricanes during any given year. Some of the more vulnerable components of the energy system include transmission lines, poles and other relatively light, above ground infrastructure, which can suffer significant damage from high winds. In the aftermath of extreme weather, the process of restoring transmission and proper 47 operation of generating facilities depends on road access and the amount of supplies available to replace infrastructure components that have been damaged or destroyed (see Section 4.7.2). The vulnerability of the energy sector to extreme weather events therefore has even greater implications for increasing the recovery period and extending the loss of productivity in all other sectors within the country following an event (U.S. Department of Energy/National Energy Technology Laboratory, 2007; IPCC, 2007b; ContrerasLisperguer & de Cuba, 2008; NEPC, 2008). Model projections for The Bahamas suggest an increase in mean annual temperatures, as well as the number of ‘hot’ days and nights to as much as 99% of the days per year by 2080, and a decrease in the number of ‘cold’ nights (See Climate Modelling Section). National energy demand and consumption for heating and cooling purposes may increase in response to extremes in diurnal temperatures. Higher temperatures have also been shown to reduce the efficiency of energy generation at thermal power plants, which are used in The Bahamas to supply electricity throughout the islands. The climate modelling projections also indicate decreases in mean annual rainfall for The Bahamas, (although these predictions are more uncertain than temperature changes) which may affect water availability for non-contact cooling of power generators (Contreras-Lisperguer & de Cuba, 2008), (see Section 4.1). Alternative energy sources, while they are environmentally more sustainable, also face challenges from temperature and precipitation variability. With regard to wind energy, wind is generated by temperature gradients which result from differential heating of the earth’s surface. Based on this relationship, changes in spatial temperature gradients caused by land use change, reductions in solar incidence and changes in atmospheric circulation can be argued to result in wind pattern shifts and therefore wind energy potential. Similarly, changes in solar radiation incidence and increases in temperature can impact the effectiveness of electrical generation by photovoltaic cells and solar thermal energy collection. The projected increase in the number of sunshine hours for The Bahamas over the next few decades increases the viability of using photovoltaic technology – even if only on the basis of increasing incidence of sunshine (IPCC, 2007b; Contreras-Lisperguer & de Cuba, 2008) Climate change, ocean-based impacts on the energy system include storm surge events and SLR. These processes are a threat primarily to infrastructure located within the coastal zone, and within the impact range of these events. Impact scenarios for The Bahamas are site-specific but include localised erosion, flooding, inundation and salt water intrusion of groundwater resources caused by storms and SLR. These impacts would be of great concern, given the low lying nature of the archipelago. Power generating stations and other major infrastructure located on the coastline are therefore highly vulnerable to damage from flooding and inundation resulting from SLR and storm induced surges. At least half of the existing power plant infrastructure in The Bahamas is vulnerable to SLR-induced impacts in the event of a 2m SLR scenario (Simpson et al., 2010). Ocean thermal energy is another renewable energy source being considered by The Bahamas, which makes use of the vertical temperature gradient to drive energy production. Alterations to the thermal structure of the water column from climate change has the potential to improve the viability of this technology through increased sea surface temperatures, and should be considered during planning. The likelihood of climate change impacting on energy systems will vary. However, an assessment of the vulnerability of Bahamian systems should be prioritised, especially in the case of renewable energy sources which depend on climate and priority coastal infrastructure such as power plants. Robust evaluation methods, which include climate change prediction models, need to be researched, tailored and utilised in the decision-making process for establishing and developing renewable systems, and in the management of existing traditional energy systems to ensure long-term viability. 48 4.3. Agriculture and Food Security 4.3.1. Background Climate change related impacts on agriculture have, in recent times, been the focus of discussion and research on an international level. It is anticipated that climatic change will diminish agricultural potentials in some regions thereby affecting the global food system. The IAASTD Global Report (International Assessment of Agricultural Knowledge, Science and Technology for Development, 2009) stresses the need to adopt a more practical approach to agricultural research that requires participation from farmers who hold the traditional knowledge in food production. This research examines the relationship between agriculture and tourism within the framework of climate change, and seeks to develop adaptation options to support national food security based on experience and knowledge gained from local small-scale farmers and agricultural technicians. The study is exploratory in nature and the findings will be assimilated to develop national and regional projects that promote climate conscious farms and sustainable food production in the Caribbean. 4.3.2. The importance of agriculture to national development In 2010, The Bahamas Ministry of Agriculture and Marine Resources, with the assistance of the Food and Agricultural Organization (FAO), conducted a rapid assessment of agriculture which examined all major subsectors of agriculture including ornamental, vegetable, livestock and food processing. The resulting report (FAO, 2010) indicates that although the Bahamian economy is heavily dependent on the tourism and financial services sectors, its natural resource base is dominated by large tracts of lands suited to agriculture and a rich marine resource. Agriculture’s contribution to GDP has been minimal over the past decade. Together with the fisheries sector, they account for approximately 5% of both GDP and employment. FAO’s assessment is that proper utilisation of the land and marine resources is a logical approach for The Bahamas to reduce its reliance on a narrow sectoral base and promote the diversification of its economy. The Right Honorable Hubert A. Ingraham, Prime Minister and Minister of Finance of The Bahamas, supports the view that agriculture is critical to national development. In his January 2011 remarks to The Bahamas Business Outlook meeting, the Prime Minister acknowledged that in order for the economy to achieve higher levels of growth, there must be some diversification by way of increased involvement in manufacturing and agriculture. 4.3.3. An analysis of the agricultural sector in The Bahamas The Bahamas depends almost entirely on imports to feed Bahamians and tourists. A release from The Bahamas Information Services Department (BIS, 2011b) indicates that almost US $500 million annually are spent every year to import food from other countries into The Bahamas. The FAO (2010) report also records that the food import bill in 2007 was over $400 million; the trend shows an annual increase from $262M in 1999. The Inter-American Institute for Cooperation of Agriculture (IICA, 2010) through its Bahamas office affirms that for the purpose of agricultural production, almost all of the major cultivation takes place on the Family Islands. The major food producing Family Islands with fertile land and adequate fresh water supply are 49 Andros, Abaco and Grand Bahama. Other Family Islands such as Eleuthera, Long Island, Cat Island and an additional four islands - Acklins, Mayaguana, Inagua and San Salvador are smaller contributors to the sector. The major producer of greenhouse tomatoes, peppers, cucumbers and lettuce as well as initiating tissue culture propagation operates on New Providence. An FAO (2010) examination of the performance of the agricultural and fisheries sector over the four year period 2005 to 2008 shows a constant decline in output for the major sub sectors of fisheries and crops, while the other sub sectors of poultry, red meats and ornamentals indicates a slight upward trend. The value of output of crops declined to US $41.7 million in 2008, down from US $46.2 million in 2005. A review of exports of selected agricultural commodities indicates a decline in value of US $5 million between 2003 and 2007. The table below indicates that the major portion of the sector’s domestic export is marine products. However, The Bahamas also exports grapefruits, aragonite, rum, and crude salt. Table 4.3.1: Imports by Commodity Group 1999 and 2003 ‐ 2007 (B $'000) Period Catfish Fish and Other Crustaceans Fruits and Vegetables Aragonite Rum Crude Salt Chemicals Others Total 1999 71,586 3,677 10,273 389 30,957 13,579 11,219 50,664 194,160 2003 106,381 1,773 2,000 478 22,024 13,636 49 111,582 264,115 2004 86,107 1,285 1,369 80 31,344 12,457 0 107,585 240,227 2005 74,498 3,531 926 52 16,843 14,805 0 160,19 270,849 2006 89,906 4,242 1,233 38,115 9,393 12,044 15,019 172,759 343,551 2007 81,371 1,865 1,198 35,577 20,282 6,600 84,562 147,289 379,090 (Adapted from FAO Report on Rapid Assessment of the Agriculture Sector in The Bahamas, 2010) A study commissioned by The Bahamas Agricultural Producers Association (BAPA, 2010) examined the 30 most important crops to the country and concluded that if The Bahamas were to grow all 30 of these crops, the country stands to earn as much as B $31.5 – B $31.9 million dollars per annum. Another B $12.7 – B $14.5 million dollars can potentially be realised from their value-added products totalling B $43.86 – B $46.43 million dollars possible injection into the Bahamian economy. This earning can have a strong positive impact on the food import bill and foreign exchange reserves. Following the BAPA (2010) report, of the 30 crops identified, onion, the number one ranked crop, saw the value of imports increase over half a million dollars from 2006 (B $2,303,714) to 2007 (B $2,852,197). Irish potatoes, the number two ranked crop, has a potential to earn B $3.4 million dollars annually as a fresh product and up to B $7.0 million dollars as a frozen or prepared product, making it the crop with the greatest potential, over ten million dollars per annum. In 2007, The Bahamas imported almost B $4.0 million dollars worth of Lettuce, the third most sought after product: iceberg, romaine and head. Tomato, which ranked fourth, decreased in import levels between 2006 and 2007 by B $598,774 or 20.2% because of increased local greenhouse production. The next table shows import values of other selected fresh crops which have been identified as potential million dollar industries. 50 Table 4.3.2: Value of Imports of Selected Crops Crop Carrot Sweet Pepper Lemon Orange Plantain Grapefruit Lime (Persian & Key) Watermelon Corn Banana Cantaloupe Broccoli Import Value 2006 Import Value 2007 $1,044,106 $1,211,915 $ 1,664,900 $1,574,848 $1,051,441 $859,532 $4,969,256 $5,545,036 $1,834,556 $1,785,831 $1,075,225 $1,048,720 $2,090,936 $2,459,110 $1,109,835 $485,943 $1,651,794 $1,885,379 $2,439,283 $2,50,408 $1,043,949 $1,145,558 $1,048,853 $1,189,438 (Source: BAPA, 2010) Bahamas’ food import bill poses a serious threat to agricultural development and food security. The Ministry of Agriculture, Department of Marine Resources Report (MAMR, 2010) confirms that the future of food security in The Bahamas is in severe jeopardy. According to their statistics, if trade ties were ever severed, food already imported would only allow The Bahamas to feed itself for six weeks. Recognising the extensive import food bill and the shortages experienced after extreme weather events or global crises, The Bahamas has embarked on a mission to grow as much of its food as possible. The Department of Agriculture has undertaken several programmes with the objectives of increasing production, introducing new technology and fostering linkages with the community. 4.3.4. Women and youth in Bahamian agriculture The Department of Statistics of The Bahamas 2009 labour force data shows that only 3% of all working Bahamians are employed in the agriculture sector. Furthermore of the 4,530 person working in agriculture, only 415 (9%) are women. Statistics for youth employed in agriculture are not available. However, The IICA Bahamas office has taken the lead in engaging the youth of the nation to play an active role in the agricultural economy. IICA Bahamas launched a summer student internship program during the month of in the summer of 2007. The program is designed to expose the candidates to all options available for career planning and advancement, using existing successful agricultural models in The Bahamas. The 2010 program was implemented in conjunction with The Bahamas Cooperative League Limited which sponsors a scholarship to College of The Bahamas for Agriculture. The FO sponsored Garden-based Learning Project is another initiative that commenced in 2008 which aims to increase youth participation in agriculture. Through The Ministry of Education, the Garden-based Learning Project was integrated into the primary school with a view to improving food security and nutrition. The project is currently being implemented in grades four and five of nine pilot schools. 4.3.5. Climate change related issues and agricultural vulnerability in Bahamas General Circulation Model (GCM) projections from a 15-model ensemble indicate that The Bahamas can be expected to warm by 0.8 to 1.9˚C by the 2050s and 1.0-3.2˚C by the 2080s, relative to the 1970-1999 mean. . Models also predict that there will be more heavy rainfall as well as increased droughts. Many of the short-term crops (corn, pigeon peas, sweet potatoes and vegetables) are seasonal and any significant shifts 51 in climatic conditions, such as increased temperatures, more frequent or more intense droughts, and any changes in mean rainfall, adversely affect production and food supply. Additionally, since The Bahamas is located in the hurricane belt, Bahamian farmers are vulnerable to their devastating effects. Research commissioned by The Bahamas Environment Science and Technology Commission (BEST, 2005) shows that in 1992 Hurricane Andrew caused severe salt intrusion on one of the major farming areas. More recently, heavy rains following Hurricane Lili in 1996 led to flooding of land with consequent leaching of fertiliser and delay in replanting. Hurricanes Floyd and Michelle in 1999 and 2001 respectively also resulted in heavy losses in the agricultural sector. Tropical storm and hurricane damage is high in all sub-sectors: crops, livestock and fisheries as illustrated in Figure 4.3.1. The Bahamas Ministry of Agriculture and Marine Resources reports that in October 2007 heavy rainfall and flooding associated with Tropical Storm Noel affected 781 farmers on Long Island, Cat Island, Eleuthera and Exuma. The exceptionally high rainfall over Andros also resulted in 70% of vegetable seedbeds destroyed on that island. In this regard, fertilisers valued at B $87,520.00 were distributed among affected farmers in the months following the storm. Livestock losses were heaviest in Long Island and Cat Island, primarily due to drowning. Stutley (2009), FAO specialist for risk management, explains that the Northern Islands face a much higher frequency of tropical storm and hurricane strikes than Southern Islands. Major hurricane losses are experienced by the agricultural sector every 3 to 5 years. Hurricane Floyd in 1999 caused severe damage to agriculture across 11 Islands of The Bahamas with crop damage totalling B $27 million, including 100% losses in bananas and major losses in citrus. The livestock sub-sector sustained B $3.8 million in losses that year and fisheries B $10 million in boats, fishing gear, lobster pots and lobster condominiums. Figure 4.3.1: Bahamas estimated value of Hurricane damage to crops, livestock and fisheries (Source: MAMR) The findings from The Bahamas Crop Insurance Demand Assessment Study (Stutley, 2009) indicate that 75% of the farmers surveyed (crop & livestock producers) identified windstorm damage as their key risk exposure while 20% identified drought as the main peril. Main causes for animal mortality include flooding or storm surge associated with the storm or hurricanes leading to drowning of the animals and poultry or collapse of buildings housing the livestock due to wind, flood or tidal surge which crush the animals to death. 4.3.6. Vulnerability enhancing factors: agriculture, land use and soil degradation in Bahamas According to the 1994 Agricultural Census, the area of agricultural land was 50,250 ac. (20,344 ha) or 78.5 mi2 (203.4 km2). This represents only about 1.5% of the total land area of The Bahamas. For land based agriculture, The Bahamas can be divided into three distinct geographic regions. The northern islands 52 comprise New Providence, Grand Bahama, Abaco and North Andros. The central portion includes Eleuthera, Long Island, Cat Island and Exuma and the south-eastern region includes Acklins, Crooked Island, San Salvador, Mayaguana and Inagua. The Bahamas 1st National Communication on Climate Change (2001) explains that historically large expanses of land on all of the major inhabited islands were used for subsistence farming. The soils of The Bahamas are very thin, chalky, fragile, inherently of low fertility and prone to drought. Once land had been farmed for a few years it became exhausted, and farmers cleared new acreage for planting using the traditional slash and burn method. Commercial agriculture ventures over the years included the establishment of cotton plantations in the late 1700s, pineapple production in the late 1800s, tomatoes from the 1940s to the early 1980s, sugar cane in the 1950s, and citrus in the 1980s and 1990s. Eventually these agricultural projects succumbed because of soil depletion. The citrus groves of Abaco are rated as the largest successful ongoing agricultural project in The Bahamas. Land use has changed on New Providence, Grand Bahama and Paradise Island over the past three decades with the building of hotels. Significant portions of land have been cleared for housing, business complexes, roads, large scale resorts and golf courses. The Bahamas Environment Science and Technology Commission Report (2005) contends that the competing demands for the limited land resources including urban use, forestry, tourism and conservation affect agricultural productivity in The Bahamas. The vulnerability enhancing factors related to agriculture, land use and soil degradation in The Bahamas are: inadequate agricultural practices such as slash-and-burn, production methods, crop rotation methods and intensive tillage of the soil inadequate land-use planning e.g. the use of arable land for infrastructure development indiscriminate dumping of solid wastes on undeveloped lands (BEST, 2001) lack of regulation governing the management and storage of pesticides and fertilisers, and other hazardous chemicals that can contaminate soil and groundwater if they are spilled (BEST, 2005). 4.3.7. Social vulnerability of agricultural communities in The Bahamas The IICA Bahamas (2005) report indicates that the islands of the northern Bahamas where land and sea transportation links are reasonably developed engage in large scale commercial and export agriculture. The main urban centres are located on the islands of New Providence and, to a lesser extent, Grand Bahama. There are generally fewer farmers on these islands compared to the central Bahamas and the average size of the farm tends to be larger. Most of the farmers in the country are concentrated in the islands of the central Bahamas where they tend to have smaller farms and more diversified agricultural production systems that range from mixed farms to monocultures. Agricultural production is possible on most of the islands. However, low populations, limited infrastructure and poor inter-island transportation have limited agricultural and rural development in the rural communities on the other populated islands, known as the Family Islands. On these islands, agriculture is a stabilising social factor that supports the rural communities. The IICA (2005) report points to one critical social vulnerability factor for agriculture in The Bahamas as that of an aging farming population because hardly any youth are showing interest in pursuing farming as a career. At the FAO World Food Summit (2002) the incumbent Minister of Agriculture expressed that migration from the southeastern islands, particularly by the young people to the urban centres of Nassau on the 53 island of New Providence and Freeport on the island of Grand Bahama, stretches the resources in the capital and leaves the rural communities devoid of the people energy needed for development. According to The Bahamas Census of Population 2000, the population density on New Providence was 2,655.4 persons per square mile. This compares with 31.9 for Exuma and 2.2 for Acklins. According to 2002 statistical data, 96% of the total population is found in the Northwest Bahamas. The skewed nature of the population, due in part to rural-urban migration, is another social vulnerability factor for agriculture because the outer islands lack the critical mass necessary for sustainable agricultural development. However, the IICA Annual Report (2010) states that government incentives and efforts to revitalise the sector have resulted in increasing interest among new farmers. Land allocation to interested individuals in Andros and Abaco increased in 2009 and formation of farmers associations on the different Family Islands also increased. 4.3.8. Economic vulnerability: climate change & agricultural outputs in Bahamas Agriculture and food security in The Bahamas are economically vulnerable to the effects of climate change on two accounts: 1. The propensity to import about ninety percent of all food consumed; 2. direct damage to crops, livestock and related infrastructure; and 3. Limited market access to the Family Islands. The extremely high level of food imports makes the average Bahamian consumer susceptible to food shortages and price hikes that are inspired by climate change impacts which occur in the Unites States, their main supplier of food provisions. Locally produced fresh foods such as avocadoes, tomatoes and cabbages have a decidedly short shelf life. There is a wholesale Produce Exchange in Freeport, Grand Bahama Island which serves as the primary outlet through which Family Island farmers get their products sold in the capital city, Nassau, New Providence. However, The Bahamas Agricultural Producers Association (2010) report reveals that over the past five years, the Produce Exchange has played a marginal role in marketing agricultural produce due to decreased budgetary allocations. Additionally, the physical structure of the packing house is in an advanced state of dilapidation which seriously compromises the quality of the fruits and vegetables and defies basic principles of agricultural health and food safety. Decreased market access from the outer islands to the main port inhibits the Family Islands farmers’ capacity to earn a steady income. This situation is exacerbated by climatic conditions such as excessive heat which increases spoilage or storm and hurricane events which make it impossible to transport produce from the outer islands to the main port in Nassau and make timely deliveries. The FAO Rapid Assessment (2010) revealed that most of the post‐harvest losses of crops occur during transportation to New Providence. The result is that farmers obtain lower prices for their produce which fail to meet grading standards. Moreover, the transportation costs, weak infrastructure in some areas and high costs of production limit the farmers’ earning potential. According to The Bahamas Agricultural Producers Association (2010) report, more than thirty of the most frequently imported crops and vegetables can be successfully grown under existing climatic conditions. Conversely, the FAO Rapid Assessment (2010) indicates that production levels of domestic crops can be significantly higher if pests and diseases are controlled prior to harvest. These pests and diseases are directly influenced by the high temperatures and changes in humidity during periods of heavy rainfall. 54 The profile for key crops that pertain to climate change and agricultural growth in The Bahamas are presented in the following diagram. Based on the results of the FAO Rapid Assessment (2010), the key to decreasing economic vulnerability in The Bahamas lies in improving crop management systems, practicing proper record keeping, investing in new equipment, technology, and infrastructure. 55 4.4. Human health 4.4.1. Background The Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4) defines health as including ‘physical, social and psychological wellbeing’ (Confalonieri et al., 2007). With this broad definition of health, climate change is likely to impact health in many ways including its effects on livelihoods at a local scale and to the economy at a national level. Where disease epidemics already have been known to occur or environmental and social conditions which make particular populations vulnerable, climate change has the potential to impact the quality of the environment and the resilience of the ecosystems of which they are made up, thereby intensifying disease incidences in a given population. Health is an important issue in the tourism industry because tourists are susceptible to acquiring diseases transmitted by insect vectors. In addition, air travel is responsible for a large number of diseases which are carried from tropical tourist destinations to Europe (Gössling, 2005)and elsewhere in the world. This is highly relevant when one considers that of travellers who become ill abroad, approximately 75% contract infectious diseases; morbidity is most often due to diarrhoea or respiratory infections (Sanford, 2004). Health is also important because it can have consequences for tourism destination demand which is a significant contributor to the economies of Small Island Developing States (SIDS). The potential effects of climate change on public health can be direct or indirect (Confalonieri et al., 2007; Ebi et al., 2006; Patz et al., 2000). Direct effects include those associated with extreme weather events such as thermal stress, changes in precipitation, sea-level rise and natural disasters or more frequent extreme weather events. Both direct and indirect effects include the impact of climate change on the natural environment which can affect food security and the agriculture sector and increase the susceptibility of populations to respiratory diseases and food- and water-borne related diseases (Patz et al., 2000) A significant number of diseases have been linked with climate change on a global scale, with varying levels of confidence (Confalonieri et al., 2007). An overview of a subsector of those important in the Health Sector of The Bahamas is presented here. In The Bahamas Initial National Communication to the UNFCCC, the vulnerability of the the health sector to climate change could not be quantified, however it was noted that changes in the incidence of malaria, dengue and other tropical diseases were expected to occur (BEST, 2001). It also stated that “the migration of people to and through The Bahamas has the potential for introducing diseases”. Table 4.4.1 shows some relevant statistics in the Health Sector of The Bahamas which are important indicators of the country’s resilience in the health sector. Table 4.4.1: Selected statistics relevant to the Health Sector of The Bahamas Population 303 611 (2000) 1 2 Human Development Index (HDI) 43 (2010) ranking 3 Unemployment rate 14.1% (2010) 2 Expenditure on Public Health (% of 3.7 (2010) GDP) 4 Life Expectancy at Birth (years m/f) 72/78years (2008) 5 Crude Birth Rate 16 per 1000 (2003) 5 Crude Death Rate 5.2 per 1000 (2003) 5 Hospital bed occupancy rate 34 per 10, 000 persons (2003) 1 2 3 4 5 (Sources: Cox et al., 2005; UNDP, 2010; Spencer et al., 2010; WHO, 2008; PAHO, 2007) 56 4.4.2. Direct impacts Weather related mortality and morbidity Mortality and morbidity rates due to injuries sustained during natural disasters are important direct impacts to consider when assessing the vulnerability of a country to climate change. From observed data North Atlantic hurricanes and tropical storms appear to have increased in intensity during the last 30 years and modelling projections indicate that the trend is expected to continue in the future, specifically due to intensification of weather phenomenon rather than increases in frequencies (see section 3 Climate Modelling). It has been assessed that at least 3 hurricanes pass within 100 miles of The Bahamas annually (BEST, 2001). BEST (2006) summarised that between 2000 and 2006, six named hurricanes hit The Bahamas, with varying impacts on the islands. This combined with the fact that more than 80% of the land area of The Bahamas is 1.5 m or less above mean sea level makes the country vulnerable to storm surges, very high wind forces or persistent high levels of rainfall and the resultant flooding (BEST, 2001; ECLAC, 2004) which can threaten the safety and health of the Bahamian population. The island experiences tropical storms and hurricanes with great frequency during the months of September, October, August and November (BEST, 2001) and the hurricane season occurs from June to November every year (Cox et al., 2005) which is a significant exposure period not just to The Bahamas but the entire region. As described in The Bahamas Initial National Communication to the UNFCCC “More frequent disruptions and damage to infrastructure and human settlements from hurricanes and storm surges will occur, and this will be reflected in increased insurance and rebuilding costs” (BEST, 2001). One of the worse hurricane seasons in the last decade occurred in 2004 when Hurricanes Frances and Jeanne hit The Bahamas within a month of each other. Hurricane Frances was the first hurricane to impact all of The Bahamian archipelago since 1886 (ECLAC, 2004) and it was estimated that approximately 4% of GDP was affected via “direct damages, including 1.3% of GDP in damages to the mostly uninsured public infrastructure in the transportation, education, and health sectors” (Lewis et al., 2005).Jones(2005) estimated that around 24.7% (83,000 people) of the population were directly affected and in some way subject to health risks. Additionally there were two reported deaths, a number of injured persons, and at least 2000 homeless persons. Table 4.4.2 attempts to quantify the affected populations in The Bahamas after Hurricanes Frances and Jeanne in 2004. st th Table 4.4.2: Primarily affected population in The Bahamas after Hurricane Frances (Aug 31 – 5 Sept) and th Hurricane Jeanne (Sept 25 ) Affected Popullation Deaths* 2 People in shelters 2,400 Secondarily affected population (in all regions) 13,500 Affected immigrant population in settlements (Abaco) 15,500 Percentage of total population 9% Tertiary affected population (as a percentage of total population) 58% *Three additional injuries were reported by the Ministry of Health (Source: IDB, 2004; Original source ECLAC) Aside from injuries and deaths, post-traumatic stress and other mental disorders (Confalonieri et al., 2007) is also important to consider due to extreme events and the loss of property and damage to infrastructure that occurs on a national scale. For example, there were reports of cases of post-traumatic stress and other psychological effect after Hurricane Michelle in 2001 (PAHO, 2007) and after Hurricanes Frances and Jeanne in 2004 (ECLAC, 2004). 57 Increased temperature and the effect of heat In The Bahamas Initial National Communication to the UNFCCC, heat stress was identified as an important factor that may arise due to increased temperatures caused by climate change (BEST, 2001). According to projections temperatures are expected to increase in The Bahamas (See Section 3 Climate Modelling) although this change may vary in different island regions of The Bahamas. Increased temperatures have implications for persons prone to, or suffering from, cardiovascular diseases (Cheng and Su, 2010; Confalonieri et al., 2007; Worfolk, 2000) which could be exacerbated by prolonged exposure. In general, increased temperature may result in an increase in morbidity and mortality (Hajat, O'Connor, & Kosatsky, 2010) related to heat exhaustion and dehydration (Sanford, 2004). The elderly and young are more susceptible than other groups as well as persons chronically sick and those socially isolated. In The Bahamas, 5.3% of the population is over 65 years and 28.4% under 15 years according to the 2000 census (PAHO, 2007). This represents a substantial portion of the country’s total population that is vulnerable to higher than normal heat conditions. Persons who work outdoors for long periods of time (e.g. construction workers) are also at greater risk to these conditions. In terms of tourism this will be an important consideration for elderly travel enthusiasts when choosing destinations. In the context of tourism, while temperature may be considered a positive determinant of visitor demands it should be noted that cooler temperate destinations may become more attractive as temperature increases, and warm tropical destinations may become less attractive (Hamilton and Tol, 2004). However, the reverse may be also true depending on the destination. It is uncertain at what temperature threshold such hypotheses will affect Caribbean destinations such as The Bahamas. 4.4.3. Indirect impacts Increase in vector borne diseases In The Bahamas, higher incidence of tropical diseases may arise due to changes in temperature (BEST, 2001; NCCC-BEST, 2005). The Bahamas experiences moderate rainfall; projections indicate that precipitation is likely to both increase and decrease as a result of climate change. If intense rainfall events increase, this may increase the rate at which mosquitoes proliferate by providing numerous breeding sites. The northern islands are rainier (Cox et al., 2005) and therefore more favourable to mosquito breeding. Hales et al. (2002) describe, “mosquitoes require standing water to breed, and a warm ambient temperature is critical to adult feeding behaviour and mortality, the rate of larval development, and speed of virus replication”. Of course climate is not the only important factor in the successful transmission of disease, other factors include the disease source, the vector and a human population (Hales et al., 2002). Included in the human population, should be the visiting susceptible population resulting from the tourism industry. In recent years the visitor arrivals to The Bahamas were between 3 and 5 million annually between 1990 and 2009 which represents a significant number of persons potentially at risk of contracting tropical diseases such as vector borne diseases. Vector borne diseases are also a cause for concern during periods of intense rain such as during hurricanes, subsequent flooding and associated collection of water due to high amounts of debris. For example, the vulnerability of The Bahamas to this was anticipated after Hurricanes Frances and Jeanne struck and therefore the Bahamas Department of Environmental Health launched a vector control initiative which included larviciding for mosquitoes and spraying insecticides for flies (ECLAC, 2004). Additionally, as sea level rises, wetland areas will increase (BEST, 2001) which will result in an increase in suitable habitats for mosquitoes to breed. Mangroves have been cleared most notably in Nassau (New 58 Providence), Freeport (Grand Bahama), Marsh Harbour (Abaco) and George Town (Great Exuma) as a means of controlling the mosquito breeding sites, however this has occurred at the expensive of the environment (Buchan, 2000; Cox et al., 2005) and now increases the risk from storm surges and salt water intrusion. One final consideration is the transmission of vector borne diseases and communicable infectious diseases in general, which can come from other countries. For instance, due to its proximity to Haiti, The Bahamas is vulnerable to imported cases from the other islands of the Caribbean region. For example, Haitians are the most common migrants (Cox et al., 2005) and the single largest group of immigrants, accounting for 33% of all immigrants in The Bahamas according to the 2000 census (PAHO, 2007). Vector borne diseases relevant to The Bahamas are dengue and malaria and will be described briefly here. Dengue Fever - Dengue fever is caused by any of four serotypes of the virus of the genus Flavivirus and family Flaviviridae (Gubler, 1998). As defined by Rigau-Pérez et al., (1998) dengue is ‘an acute mosquitotransmitted viral disease characterised by fever, headache, muscle and joint pains, rash, nausea, and vomiting. Some infections result in dengue haemorrhagic fever, a syndrome that in its most severe form can threaten the patient’s life, primarily through increased vascular permeability and shock.’ It is the most important arboviral disease of humans, and exists in tropical and subtropical countries worldwide (Gubler, 2002; Martens et al., 1998; Rigau-Pérez et al., 1998). The arthropod vector for dengue is Aedes aegypti. Population growth, urbanisation and modern transportation are believed to have contributed to its resurgence in recent times (Gubler, 2002). It has been shown that dengue fever transmission is altered by increases in temperature and rainfall (Hales et al., 1996). In the Caribbean it has been observed that the disease is no longer confined to the rainy season (CAREC, 2009). Both from modelled data and observations, it has also been found that changes in climate determine the geographical boundaries of dengue fever (Epstein, 2001; Epstein et al., 1998; Hales et al., 2002; Hsieh and Chen, 2009; Martens et al., 1997; Patz et al., 1998). This is in addition to other economical, social and environmental factors that can affect the occurrence and transmission of the disease (Hopp and Foley, 2001). Dengue fever is a major public health problem in the Caribbean and can affect both locals and tourists (Castle et al., 1999; Pinheiro and Corber, 1997; Wichmann et al., 2003; Chen et al., 2006). Allwinn et al.(2008) have found that the risk to travellers has been underestimated. In fact it is the second most reported disease of tourists returning from tropical destinations (Wilder-Smith and Schwartz, 2005) and air travel has been linked with its spread (Jelinek, 2000). This vector borne disease has affected the region at least as early as the 1800’s (Pinheiro and Corber, 1997). In 2003 there were 180 reported cases of dengue fever (PAHO, 2007). In 2008 there was just one reported case of dengue fever and no reported cases of dengue haemorrhagic fever. There were no reported cases of either dengue fever or dengue haemorrhagic fever in 2007 (CAREC, 2009). Dengue cases in The Bahamas are predominantly due to serotypes 2 and 3 (PAHO, 2007). It is important to note that infection of one serotype does not offer immunity against another serotype. Therefore re-infection complicates the control of the virus’ transmission (Gubler, 1998) and can lead to dengue haemorrhagic fever and dengue shock syndrome (Levett, 2000). Dengue haemorrhagic fever is pre-dominantly an urban disease (Pinheiro and Corber, 1997), therefore an island like New Providence with a population density of 1,018 persons per km2and with 84% of its population living in urban areas (WHO, 2008) may be particularly vulnerable in the future. Additionally, due to low-level of suspicion among physicians dengue fever is often under-reported so the real threat that this disease poses to populations is currently under estimated (Jelinek, 2000). 59 In Jamaica, Chadee et al., (2009) found that large storage drums were the main breeding sites of the vector, Aedes aegypti, accounting for a third of their breeding sites. Traditional targets of source reduction in Jamaica, i.e. small miscellaneous containers, were found to contain negligible numbers of pupae. However, if drought conditions become commonplace in the future due to climate change the use of water storage devices especially in a water scarce country like The Bahamas may become more common and thus provide suitable breeding sites for the vector Aedes aegypti. Malaria – Malaria is not endemic in The Bahamas but the vector is Anopheles mosquito is present (PAHO, 2007). There were 10 cases of malaria between 2000 and 2003 (PAHO, 2007). In 2006 there were 48 cases of imported malaria but no cases of local transmission (CAREC, 2008a). In 2007, there were 2 reported cases of indigenous malaria (local transmission) and 1 reported case of imported malaria, this increased in 2008 to 8 cases of local transmission and 2 imported cases (CAREC, 2009). The infection has been mainly associated with the district on the Islands of Exuma (IAMAT, 2011), which consists of approximately 360 islands or cays. There is always a risk of importing malaria cases due to the high number of visitors to the Caribbean region and due to displaced people from Haiti. In addition, there is a possibility that the vector populations are increasing due to anthropogenic factors as well as changing climate. Malaria has been described as “intimately connected” with poverty because the mosquito vector breeds in standing water pools that tend to form in the streets of informal development zones which lack proper sanitation and waste removal (Gallup and Sachs, 2001). The transmission of malaria as a result of tourism is not as great a concern as in other Caribbean islands where the prevalence of the vector is higher, but caution is always advised. At least one study has found that malaria is the most common cause of fever of tourists upon returning from travel in infected areas (Wichmann et al., 2003). Additionally, it should be highlighted here that malaria is the most reported cause of hospitalisations in tourists from malaria-prone destinations (Wilder-Smith and Schwartz, 2005). During drought conditions, water storage increases thus providing more mosquito breeding sites. As has been the case in the past, this it is expected to increase mosquito breeding and therefore the rate of transmission of vector-borne diseases such as malaria and dengue (Pinheiro and Corber, 1997). As mentioned above in the vector borne diseases subsection, the most significant breeding habitat for mosquitoes in the dry season was found to be drums in a study of container productivity profiles (Chadee et al., 2009). Drought, air quality and respiratory illnesses The quality of the air may be affected by expected drier spells due to climate change (Confalonieri et al., 2007). If wind patterns change or wind speed increases the population of The Bahamas could become exposed to increased amounts of particulate matter which could result in increased incidence of respiratory illnesses. An increase in particulate matter can also arise due to increased episodes of bush fires; in the case of The Bahamas spontaneous fires have been a problem in land fill and dumping sites and are among the highest reported causes of fires in New Providence. Bush fires may also increase; these have been reported in other islands of The Bahamas (Cox et al., 2005). The frequency of reports may increase if conditions become drier due to changes in climate. The removal of vegetation can lead to soils which are exposed and prone to erosion and wind damage. Geochemical evidence has shown that, at least in part long-range transport of dust from Africa has contributed to soil in The Bahamas (Muhs et al., 2007). Trade Winds bring dust from North Africa and the Sahara to The Bahamas (Cox et al., 2005). It takes approximately one week for dust clouds to move this distance and satellite images/surveillance traced these dust clouds moving to the Caribbean from the West 60 Coast of Africa (Prospero and Lamb, 2003; Trapp et al., 2010). However, dust or pollutants could be entering The Bahamas from elsewhere as the observed differences in the composition of dust from day to day or from year to year may represent different origins of particulate material (Trapp et al., 2010). PAHO (2007) have found that “diseases of the respiratory system were among the leading causes of mortality in children” in 1 – 4 year olds and that “the leading cause of inpatient morbidity during 2001– 2003 was acute respiratory infections”. Further in 2003, 388 females and 371 males reported cases of acute respiratory infections in The Bahamas (PAHO, 2007). Additionally, Prospero et al., (2008) have described asthma as being epidemic in the Caribbean region. Therefore the air quality can have implications for the health and well-being of both the local and tourist populations to such an extent that it can easily trigger respiratory distress (Sanford, 2004), particularly in those with existing respiratory diseases and those with pulmonary and cardiac diseases. Further, these dynamics also occur against a background of normal and expected urbanization that is occurring on a global scale and also affects Caribbean islands such as those in The Bahamas. Water supply, sanitation and associated diseases Water supply disruptions combined with poor water quality can give rise to sanitation problems and create environments and conditions suitable for disease transmission (Moreno, 2006). Domestic water supplies are affected due to drought conditions. Any shortage of water or restriction on access to water can lead to health problems. Therefore, emphasis on water and sanitation is critical to public health, which may become even more important because of changes in climate and the associated vulnerabilities that will be exacerbated. Overall estimates between 2001 and 2005 indicated that 96.4% of the population had access to water via household connections and other piped infrastructure while the remainder of the population relies on wells or rainwater tanks (PAHO, 2007). However, PAHO (2007) have also stated that “in rural areas, despite the availability of clean and safe water, there are unresolved provision difficulties due to operational, resource, and technical constraints”. In addition to this natural disasters such as hurricanes can result in water supply and health related concerns as supply maybe interrupted due to flooding and damage to infrastructure. For instance, during Hurricanes Frances and Jeanne electricity and water supplies were severely affected for several days (ECLAC, 2004). In The Bahamas the majority of water is sourced from underground wells (See Section 4.1) and due to the porous nature of the limestone substrate contamination can occur quite easily (Buchan, 2000). Among other sources of contaminants is sewage, which can introduce microbial contaminants to freshwater thus increasing the chances of deadly disease outbreaks (Buchan, 2000). In New Province roughly 20% of households have sewage collection systems with the remainder utilising household tanks. Added to this, “centralized sewerage systems in the Family Islands are mainly limited to some private developments and resorts. The onus is on private developers to install centralized sewerage systems, depending on the size and location of the development project” (Cox et al., 2005). Finally, it should be noted that “in less developed areas shallow latrines may be used and in some cases direct discharge into the sea still occurs” (Buchan, 2000).Such conditions combined with instances of flooding (See Water Sector Section) and an overall unsanitary environment can lead to gastroenteritis and other food-borne diseases such as Cholera, Camplylobacter (CAREC, 2009) as well as Cryptosporidiosis, Salmonellosis, Shigellosis, Listeriosis and E. coli. Such diseases have been reported on cruiseships (Minooee and Rickman, 1999). In The Bahamas, underreporting of cases often occurs, especially in food-borne diseases (CAREC, 2008c). PAHO (2007) reported that between 2001 and 2003, the number of food-borne illnesses was between 318.2 and 417.2 per 61 100,000 members of the population in The Bahamas. In contrast, there were between 2,521 to 4,904 reported cases of gastroenteritis between 2001 and 2004. Cholera - Cholera is an example of a disease that proliferates in unsanitary conditions. The IPCC Fourth Assessment Report has stated that climate change is an important factor in the spatial and temporal distribution of Cholera (Confalonieri et al., 2007). Cholera is “an acute intestinal infection caused by the bacterium Vibrio cholera and is spread by contaminated water and food” (CAREC, 2008b). The National Climate Change Policy of The Bahamas has also identified cholera as a disease sensitive to climate change due to higher temperatures, and greater humidity and rainfall (NCCC, 2005). Due to the outbreak in Haiti in 2010, The Bahamas was put on high alert due to its close proximity. Additionally Haitians are the single largest group of immigrants, accounting for 33% of all immigrants in The Bahamas according to the 2000 census. They also represent 14% of those in the poorest quintile (PAHO, 2007). They tend to live in “substandard housing in overcrowded marginal areas” (PAHO, 2007) which increases the potential for the spread of highly communicable diseases like cholera. Legionnaires disease - Another disease associated with water is Legionnaires disease and is linked to climate change due to the greater incidence of the disease in hot humid rainy conditions (Fisman et al., 2005). Legionnaires disease is essentially a severe form of pneumonia which arises when the hosts are exposed to “aerosolised water containing the bacteria or aspirates water containing the bacteria” (Fields et al, 2002). The gram negative bacteria Legionella is one of the main causative agents of Legionnaires disease and is found in freshwater environments growing best at 32 - 45°C. As a result it thrives in stored hot water environments such as in spas, hot tubs, humidifiers which form suitable reservoirs for harbouring the bacteria. In addition it also thrives in natural waters, pipes, distribution systems, air conditioners, showers and cooling towers (Fisman et al., 2005; Rose et al., 2001). It is therefore a disease of relevance in the tourism industry, having been the cause of illness in a number of cruise ships (Fisman et al., 2005) and tourist hotels in various parts of the world. However, in the Caribbean region, research on the prevalence of the disease is limited to work by Hospedales et al., (1997) on hotel associated potable water in Antigua and by Nagalingam et al. (2005) on hospitals in Trinidad and Tobago. Food security and malnutrition As previously discussed, changing weather patterns in SIDS such as The Bahamas can increase or decrease precipitation levels which could in turn affect the agriculture sector. This can further impact food availability during weather patterns (Confalonieri et al., 2007; Moreno, 2006) due to conditions of drought, heat stress or floods. Negative health effects then follow, especially in poor and marginalised communities which result in malnutrition. For example in the IPCC Fourth Assessment Report reported under-nutrition, protein energy malnutrition and or micronutrient deficiencies are major contributing factors to climate change (Confalonieri et al., 2007). Therefore, as agricultural production is expected to be affected on a global scale, this could result in greater foreign exchange expenditure to purchase foreign produced food and food products. During the period 1990 – 1992, 9% of Bahamians were defined as undernourished, this figure only decreased by 1% during 2002 – 2004 (Trotman et al., 2009) which may not be an actual decrease due to population growth. According to the Department of Statistics Bahamas Living Conditions Survey 2001, the poverty rate is 1% lower in New Providence and Grand Bahama however 85% of the population reside in these two islands (Bahamas Department of Statistics, 2004). This is important to the agricultural sector of The Bahamas because although agriculture accounts for less than 2% of the country’s GDP (BEST, 2006c), its importance in SIDS such as The Bahamas is proportionally far greater in terms of its social contribution to society (ECLAC, 2004). The Bahamas has alkaline nutrient-poor soils which limits the extent of the 62 agricultural productivity of the country (Cox et al., 2005) as a result approximately 85-90% of the islands’ food is imported (BEST, 2001). Where food is grown, threats to food security also include saline contamination of water sources required in irrigation of agricultural plots and salinisation of soils (BEST, 2001). Food production and fisheries stock are considered an integral part of the Agricultural Sector.In the Caribbean, reduction in fisheries stocks has also been linked with malnutrition due to a decrease in the protein content in the diet (Burke and Maidens, 2010). Fisheries stocks have been described as overexploited (Cox et al., 2005) although not to the extent of other Caribbean territories. However, storm surges and hurricanes can batter and destroy coral reefs directly and impact on them through siltation and increased pollutants from flood waters. The can also impact on fish stocks of The Bahamas. Another ecological problem that affects food security in The Bahamas and is particularly important in the tourism industry is Ciguatera. Ciguatera fish poisoning - The Bahamas is also well known for the food poisoning illness called ciguatera fish poisoning (CFP) and has the highest number of reported cases in the West Indies and the 4 th highest in the Caribbean region (Tester et al., 2010). An increase in the incidence of ciguatera may arise as seas become warmer due to climate change, triggering harmful algal blooms increase (HAB’s) which produce the toxins that bio-accumulate in fish species (Confalonieri et al., 2007; Tester et al., 2010). Symptoms of CFP include diarrhoea, vomiting, abdominal pain, muscular aches, nausea, reversal of temperature sensation, anxiety, sweating, numbness and tingling of the mouth and feet and hands, altered sense of smell, irregular heartbeat, lowering of blood pressure and paralysis (Friedman et al., 2008). In The Bahamas there is a high consumption of and exposure to tropical fish species such as barracuda, which bio-accumulate algal toxins (PAHO, 2007). The CFP rate in The Bahamas wss 5.8 persons per 10,000 between 1996 and 2006 (Tester et al., 2010). In 2008, of the 349 reported cases of ciguatera in the Caribbean, 50% were from The Bahamas. In 2007, there were only 79 cases representing 44% of cases in the region (CAREC, 2009). Other reported years indicate that “between 2002 and 2003, 564 cases of ciguatera poisoning were reported, and 214 occurred in 2004” (PAHO, 2007). As the CAREC Annual Report 2007 states “the occurrence of even small numbers of cases of ciguatera poisoning is of concern since it can result in severe illness, including neurological symptoms, and can also be life threatening” (CAREC, 2008a). Increased precipitation and associated diseases Groundwater constitutes the main water source in The Bahamas. Contamination of groundwater resources from sewerage is highly likely during flooding and is likely to be found mainly in low lying highly populated islands due to increased or higher than normal precipitation. This can result in increased in water borne disease transmission (BESTC, 2001). Climate change is expected to alter rainfall patterns across the region. From observed data, precipitation has been shown to both increase and decrease, however, during natural disasters such as hurricanes higher than average rainfall occurs. This may work favourably for diseases that are spread by increased precipitation or are associated with extreme events such as flooding. For example during Hurricane Frances in 2004, flood waters rose to nearly two meters (ECLAC, 2004). Two diseases that have been associated with increased precipitation and flooding are hantavirus and leptospirosis. Leptospirosis –Leptospirosis is an example of a disease that is spread due to flood waters contaminated with faecal matter and urine from infected rats (Gubler et al., 2001; Moreno, 2006; Sachan and Singh, 2010) Gubler et al. (2001)define Leptospirosis as “an acute febrile infection caused by bacterial species of Leptospira that affect the liver and kidneys.” While rats are a known reservoir of the leptospirosis (Hales et al., 2003) infection can occur from other wild or domestic animals such as dogs that come into contact with 63 water, damp soil, vegetation or any other contaminated matter (Gubler et al., 2001) Hansen et al., 2005). Further, as stated in the IPPC Fourth Assessment report “there is good evidence to suggest that diseases transmitted by rodents sometimes increase during heavy rainfall and flooding because of altered patterns of human–pathogen–rodent contact” (Confalonieri et al., 2007). Additionally, leptospirosis has been found to be one of the diseases of importance contracted by travellers (Jansen et al., 2005) and could therefore have implications for tourists. The Bahamas relies heavily on the importation of food and with limited land area, this creates waste disposal problems. Poor dumping practices encourage scavengers and vermin (Cox et al., 2005) which harbour leptospirosis pathogens (Cox et al., 2005). In the CAREC Annual Report 2008, data shows that reported cases of leptospirosis were significantly higher during the rainy season (CAREC, 2009). In a Barbados study, the disease is associated with adults, and sanitation and agricultural workers which are at higher risk (Everard et al., 1995). In 2008 there were 4 reported cases of leptospirosis and 2 cases in 2007 (CAREC, 2009). 64 4.5. Marine and Terrestrial Biodiversity and Fisheries “The moment your toes touch sand and your gaze meets water, you know you’re in The Islands Of The Bahamas”; these introductory words of The Bahamas official tourism website immediately highlight the importance of the country’s natural resources to its key economic sector, tourism. The freshwater supply for hotels and golf-courses, the coral-sand beaches, clear waters and colourful underwater world that attract millions of visitors each year are all part of the ecosystem goods and services provided by the country’s biodiversity. The Bahamas’ marine environment is famous for such fascinating features as the Lucaycan Caverns, reputed to be one of the largest underwater cave systems in the world, and the Barrier Reef of Andros Island which is the world’s third longest. It has been estimated that only 5% of the country’s species have yet been described but still The Bahamas boasts over 1100 species of higher plants, about 120 of which are endemic, and about 375 species of animals, over 40 of which are endemic. Bahamian biodiversity is of global importance since the islands and cays provide refuge to some endangered species such as the loggerhead turtle and The Bahamas Parrot. The plants and animals that make up The Bahamas’ key ecosystems - coral reef systems, seagrass beds, mangrove forests and pine and coppice forests - provide opportunities for employment and for the development of the tourism industry in the form of eco-tourist attractions, sports fishing and dive tourism. These ecosystems also provide numerous other goods to the population in terms of food, medicines, industrial and agricultural products. For example, synthetic prostaglandins, drugs used in treating a variety of medical illnesses, have been isolated from Bahamian sea fans benefitting local as well as global communities. Healthy ecosystems are better able to provide essential ecosystem services such as the role that forests serve in the prevention of soil erosion, removal of pollutants, provision of clean water, microclimate regulation and maintenance of soil fertility that are essential to sustainable agriculture and food security. From a social point of view The Bahamas natural resources are also closely tied into the country’s cultural values and history. This is reflected in the National Symbol for The Bahamas, its coat of arms, which prominently features the conch, blue marlin, flamingo and palm frond as a symbol of the country and its people. The following sections of this report will examine the goods and services provided by those terrestrial and marine ecosystems of The Bahamas that are particularly important to tourism and its related sectors. The vulnerability of these ecosystems to existing non-climatic stressors as well as current and future climate change impacts will also be assessed. 4.5.1. Background Status of forests Unlike most other Caribbean islands, the terrestrial environment of The Bahamas is dominated by pine forests (2,278 km2) on the northernmost islands, and a type of hardwood dry forest known as Coppice (7,108 km2) in the south-eastern islands. These forest ecosystems are important as habitats for a number of endemic and endangered plant and animal species. Forests also provide protection from soil erosion; a significant service provision given that Bahamian soil is generally thin, fragile and calcareous due to the limestone geology of the islands (BEST, 2001). The pine forests in particular are vital to maintaining the quality of the islands shallow freshwater lenses that supply most of the country’s water demands. Both coppice and pine are commercially viable sources of lumber. 65 Pine forest In The Bahamas, pine forests comprise 23% of the terrestrial ecosystems and are found only on the northern islands of Grand Bahama, Abaco, New Providence and Andros, which contains 55% of the country’s pine forest (Figure 4.5.1). These pines, growing on limestone rock, are the largest of this type of forest in the world. The Caribbean Pine (Pinus Caribaea), also known as Yellow Pine, has been used by Bahamians for lumber for hundreds of years. The wood obtained from these trees was used locally in boat building and fuel production and have also been a means of foreign exchange. Pinelands, as these forests are also called, are important habitat to a number of species. The endemic Bahama Yellowthroat, the Abaco Parrot, as well as wintering migratory birds such as the endangered Kirtland's warbler make nesting and roosting grounds within pinelands. Birds and other wildlife in pine forests are important to the country’s eco-tourism and are also hunted for sport. The most important aquifers in The Bahamas are located beneath pine forests. This ecosystem is therefore essential to recharging and maintaining the quality of freshwater lenses through the absorption and filtering of rainwater. The country relies on groundwater to meet the majority of its freshwater water demands, the greater part of which arises from the tourism sector. Loss of forest cover through deforestation or climate change would greatly impact on the socio-economic development of the nation. Coppice land A diverse group of native trees and plants make up Bahamian coppice land. There are basically two types of coppice land in The Bahamas: the whiteland coppice, which occupy near shore areas, and blackland coppice, which are surrounded by Caribbean Pine forests in the interior of the islands. Whiteland coppice forms a transition zone from beaches to mangroves. This makes it the preferred habitat of land crabs; a crustacean that has made an interesting entrance into the tourism sector. On the island of Andros, Bahamians have made a rewarding industry of traditional crab hunting through the creation of the annual Andros Crab Fest (Rolle, 2007). The event, supported by The Ministry of Tourism as a heritage tourism product, presents economic opportunities for hoteliers, vendors and taxi and ferryboat operators (The Bahamas Weekly, 2010). Blackland coppice is associated with pine forests where the decomposing leaf matter beneath pine trees support the growth of the mahogany, horseflesh, mastic and cedar trees that make up blackland coppice. Historically the hard-wood trees harvested from these forests have provided lumber to construct houses and boats. 66 Figure 4.5.1: Caribbean pine forest in Abaco, Bahamas Non-climate stressors on forests The quest for economic advancement threatens the survival of Bahamian forest ecosystems. Decades of commercial tree felling to meet the demands for lumber had depleted all the virgin forest of Abaco by the early 1940’s. Pinelands were also cleared for cultivation, particularly for cane crops. In more recent times the expansion of the tourism industry and urban sprawl has required the removal of forest cover in order to obtain land for hotels and houses. The removal of trees, particularly mature ones, destroys and fragments habitats, reduces forest production and decreases the resilience of the ecosystem to damaging climate change impacts. The relationship between freshwater systems and pine forests is clearly seen in the case of pine forests on Grand Bahama Island. Mining activity by the Martin Marietta Bahama Rock limestone quarry has resulted in saltwater intrusion of the freshwater lens adjacent to the mine. Consequently the Caribbean Pine forests that used to flourish in the area are now dying because of the decline in quality of their water supply (Woon, 2008). Some islands in The Bahamas may at times suffer from water shortages and must resort to importing water. Given that tourism, the country’s economic lifeline, is a water-intensive industry and that forests assist in maintaining the quantity and quality of aquifers, then forests must be carefully managed to ensure vital water resources are not jeopardised. Status of mangroves The Bahamas has about 4,286 km2 of mangrove forest and other wetlands (BEST, 1999). There are discrepancies in figures for total mangrove cover; however, a 2005 estimate by FAO reported 1400 km2 of mangrove forests distributed over 20 sites, 10 of which are within protected areas (FAO, 2005). Mangroves are spread all over the archipelago with particular concentrations on the islands of Great Nicaragua, the Bight of Aklins, the western shores of Andros and Great Abaco and the north shore of Grand Bahama (Figure 4.5.2). Mangrove forests form the basis of a complex food web of plants and animals. Many creatures make mangroves their breeding grounds, nurseries or habitat. For example, resident and migratory birds may be found roosting within the branches of mangrove trees, and many fish find shelter 67 among the roots. Other ecosystems such as coral reefs and seagrass beds benefit from the mangrove’s ability to filter sediments and pollution that would otherwise cloud the water and contribute to algal blooms. Mangroves also provide a myriad of benefits to humans by protecting the environment. Their roots contribute to soil stability by encouraging sedimentation and reducing erosion. Mangrove forests act as a natural sea-wall against the high energy waves and strong winds that batter coastlines during extreme events. A comparison of two villages in Sri Lanka that were struck by tsunamis reveals the role of healthy mangrove forests in saving lives. In the village of Kapuhenwala, which is surrounded by 200 ha of mangrove forest, only 2 people died as a result of the tsunami as compared to the death toll of 6000 in the village of Wanduruppa where the mangroves are severely degraded (IUCN, 2005). The economic importance of mangroves comes not only from their protection of costly infrastructure but also their ability to enhance industries. The fish nurseries among their roots provide critically important habitat for commercially important species such as snappers, Nassau grouper, barracuda and bonefish. These fish have been particularly important to both the fishing and tourism industries of The Bahamas for many years. In 2004, an estimated US $30,000 was generated from using wetlands for recreational purposes on Inagua and Grand Bahama islands (BEST, 2006a). Figure 4.5.2: Extant forests and mangroves of The Bahamas (Source: The Nature Conservancy) Non-climate stressors on mangroves Although there is growing appreciation for their importance mangroves are still at times destroyed in pursuit of more seemingly profitable ventures. The development of tourism in The Bahamas causes direct destruction of mangroves when the swamps are cleared to make room for tourism infrastructure. For 68 example, construction of the Bimini Bay Resort and Marina led to the removal of mangroves in order to build a hotel, golf course, casino and two marinas (BNT, 2008). The Government of Bahamas continues to promote investment in marinas and cruising facilities for residents and tourists. Without careful planning such development will threaten the survival of mangroves and the species that depend on them. Leaching and run-off of land based pollutants are another threat with which all coastal ecosystems, including mangroves, must contend. Pollution degrades the quality of water, clogs mangrove roots and places great stress on their filtering mechanisms. The porous nature of Bahamian soil exacerbates the negative impacts that surface and groundwater pollution can have on mangrove trees. Status of beaches Bahamas coral-sand beaches stretch for thousands of miles and draw thousands of tourists to the country annually. They form a major part of the country’s “sand, sea and sun” tourism package and as such form the basis of the country’s economy and supports approximately half of the labour force (BEST, 2001). Beaches are also important as launching and landing sites for fishing boats and recreational water-crafts. Coastal infrastructure is protected from wind and wave erosion by the presence of beach vegetation that acts as a natural windbreak and holds the sand in place. Sandy shores also serve an ecological function through the provision of habitat to many unique creatures including endangered marine turtles that return annually to nest on Bahamian shores. Sand dunes, which are formed by the roots of beach vegetation, are a reservoir of sand for beach nourishment and provide aggregate for building construction. Non-climate stressors on beaches Expansion of tourism and residential infrastructure, sand extraction, and invasive species are constant pressures on the beaches of The Bahamas. Coastal development disrupts the natural cycle of accretion and erosion of sandy beaches for when buildings are erected too close to the beach they accelerate the erosion of sand and reduce the width of beaches. This not only makes beaches less attractive but is also costly and dangerous because reduced beach width allows waves to break further inshore and wear away at the foundation of homes, resorts and condominiums. Developments on Treasure Cay and Lyford Cay in The Bahamas have caused observable and significant losses of sand from nearby beaches (BEST, 2001). In attempt to beautify their surroundings Bahamians have unfortunately introduced invasive species of plants, such as casuarina (Gilbert, 2009). These plants tend to dominate the environment and destroy the native vegetation of dunes that are critical to stabilising the sand. The shallow roots of the casuarina are unsuitable for the beach environment as they fail to trap sand and are easily uprooted during hurricanes. The proliferation of these trees has led to the destruction of many sand dunes and threatens the long-term integrity of the coastline. 69 Figure 4.5.3: Beach erosion exacerbated by the invasive Casuarina tree (Source: Neil Sealey, 2006) Sand mining for building aggregate and export is another pressure on beaches especially as demands for Bahamian sand increases. Some of the islands in The Bahamas already show signs of the negative effects of sand mining (BEST, 2006b). The impacts of human stressors on reefs, which are important to sustaining the dynamics of sand movement, will be discussed in the following section. Status of coral reefs Bahamian coral reefs are some of the most diverse and extensive in the Caribbean Region (Table 4.5.1 and Figure 4.5.4) (BEST, 2001). Possessing more than 50 documented species of hard coral, numerous patch and fringing reefs and the world’s third largest barrier reef (229km) The Bahamas may own as much as 4-5% of the world’s coral reef biodiversity (BEST, 1999). The importance of coral reefs to The Bahamas is evident in the abundance of marine life that inhabits reefs and supports the tourism and fisheries industries. The aesthetic value of coral reefs and the variety of sea creatures that inhabit them are appreciated by Bahamians and attract thousands of tourists and divers to the islands annually. Reefs also act as natural breakwaters and protect lives and property of the low-lying islands and cays from erosive wave action by dissipating the energy of incoming waves. As previously discussed, beaches are dependent on reefs as the primary source of sand. A single large parrotfish browsing on corals can contribute an estimated 2-3 tonnes of sand per year (Karleskint, Turner, & Small, 2009). This sandy sediment is also essential for the growth of the seagrasses (see section on Seagrass beds). Healthy reefs therefore maintain the health of their surrounding ecosystems. Biomedical research is yet another area in which humans benefit from coral reefs. Prostaglandin, one of the newest cancer fighting drugs, was first isolated from Bahamian sea fans (BEST, 1999). By protecting its reefs The Bahamas benefits locally as well as hold the potential to improve global healthcare. 70 Figure 4.5.4: Location of coral reefs in The Bahamas (Source: Coral Reefs of the World, 1988, Vol. I: Atlantic and Eastern Pacific International Union for Conservation of Nature and Natural Resources (IUCN) United Nations Environment Program (UNEP) Table 4.5.1: Important reef regions in The Bahamas Reef Regions Approximate Areas km Little Bahama Bank 323 Biminis 90 Berry Islands & Andros 182 New Providence 30 Eleuthera & Cat Island San Salvador, Rum Cay 200 Conception Island 132 Exuma Cays & Ragged Island 386 Samana Cays 50 Plana Cays 31 Mayaguana 72 Inagua 164 Hogsty Reef 23 Cay Sal Bank 153 Crooked & Acklins Islands 151 (Source: The College of The Bahamas, Research Unit, 2005. Data adapted from Linton, et.al, 2002) Non-climate stressors on coral reefs Compared to most of the Caribbean The Bahamas reefs are some of the least threatened (Burke, et al., 2004). Nevertheless, Bahamian reefs are still facing multiple and serious threats from human activities. The 71 negative impact of anthropogenic stresses is clearly seen in the decline in condition of those reefs off of the more developed and more populated islands, such as those in the south, which exhibit higher algal cover and lower fish abundance and diversity, compared to the healthy condition of isolated reefs in the Northern islands (Linton, et al., 2002). The poor reef health is likely attributable to inadequate waste water treatment, fertiliser run-off and fishing pressure. Dredge-and-fill activities for the construction of marinas and cruise ship facilities also decrease water quality and deposits sediment on reefs. The Reefs at Risk analysis identified overfishing as the main stressor to Bahamian coral reefs, affecting about 20% of the reefs (Burke, et al., 2004). A diversity of fish maintains coral reef health and any upset in the balance of species can be harmful. For example, overfishing of herbivorous fish can damage coral health, as they are necessary for keeping algal growth in check. Furthermore some fishing methods can cause direct damage to reefs. Some Bahamian fishermen have adopted a very destructive fishing practice: that of using household bleach for the taking and capture of crawfish (lobster) and scalefish (BNT, 2005). Bleach can destroy the coral’s delicate tissue allowing coral to be overgrown with algae. Marine based recreation activities can also pose a threat to coral health if not carefully managed. Careless diving behaviour such as touching coral or kicking sand onto reefs easily removes the protective film from coral polyps and leaves them more susceptible to disease. The damage done by one visitor, when multiplied by the thousands who visit the islands each year, can exceed the corals ability to recover from injuries. Seagrass beds Seagrass beds are important for stabilising the sea bed and providing habitat to juvenile fish and commercially important species such as conch and lobster. Seagrass beds are areas of high productivity producing more than 4000 g C/m2/yr, contributing significantly to tropical reef and other nearshore communities. Preliminary results of a study conducted by Dierssen and Zimmerman found that per area, seagrass ecosystems of the Bahama Banks were many times more productive than the world’s oceans with seagrass meadow productivity contributing as much as 7.6 x 1013 g C/yr, or 2% total ocean productivity (Dierssen & Zimmerman, 2003). These ecosystems are therefore a significant part of the ocean’s carbon cycle. They also play a role in maintaining the clarity of sea water, and important service to recreational activities such as snorkelling. Non-climate stressors on seagrasses Siltation from coastal construction and the discharge of pollutants into the sea smothers the blades of seagrasses. Careless boating practices and dredging for marinas scars seagrass beds and uproots plants reducing the ecosystem’s overall primary productivity and destroying key habitat and nursery for other marine life. Fisheries The Bahamas fishery resources are important to the country’s economy through the local sale of fish, conch and lobster exports and for the support it provides to the tourism industry. On average the fisheries sector contributes between 2.5-3% to GDP and employs about 9,300 fishers (Department of Fisheries). Commercial and artisanal fishing are a major source of income to some of the rural communities in The Bahamas allowing them to enjoy a relatively high standard of living (FAO, 2009a). The diversity of species found on the wide coastal shelf is important to the country’s most important industry not only for food but also for sport fishing opportunities and dive tourism. 72 Lobster and conch fisheries The main species targeted for food in The Bahamas are: lobster (crawfish), conch, snappers and groupers. Of these, the Caribbean spiny lobster is the most valuable species accounting for almost 90% of earnings from fisheries (FAO, 2009a). The Bahamian crawfish industry is the world’s fourth largest and is the second largest lobster fishery in the Caribbean (BREEF, Bahamas Reef Environment Education Foundation, 2006). In 2002 fishing mortality rates and a declining trend in stock biomass indicated that the lobster stock was close to being fully exploited (Gittens & Braynen, 2002). Conch is the second most valuable species landed, contributing over US $3 million to the total fisheries earnings in 2007. The marine mollusc is primarily harvested as a supplementary means of income during the closed season for lobster. Most conch are consumed locally but there are significant earnings from its export. The status of conch in The Bahamas is not well known but declining landings and low densities indicate the resource may be below sustainable fishing pressure in localised areas (Stoner & Ray, 1996; Department of Marine Resources, 2005). Nassau Grouper fishery The Nassau grouper is a popular item on restaurant menus and is also favoured among divers and sportfishers. The Nassau Grouper fishery in The Bahamas is still considered to be commercially viable, unlike other parts of the Region (Department of Marine Resources, 2005). The Nassau fishery has been regulated by a closed season over the past decade in order to protect spawning aggregations from being overfished. Non-climate stressors on fisheries Illegal, unreported and unregulated (IUU) fishing is a major threat to Bahamas fisheries. In fact, a recent report by a marine scientist from the University of Miami identified poaching by commercial fishermen from the Dominican Republic as the ‘greatest single threat’ to Bahamian fisheries (Smith, 2011). The Bahamas’ fisheries are well legislated but the vast Exclusive Economic Zone (EEZ) challenges the Fisheries Department to effectively enforce regulations and monitor fish stocks. A recent business venture that has raised concern among citizens and environmentalists is The Bahamas Pelagic Aquaculture Tuna Fishing Program proposed by brothers David and Paul Mellor. The plans are to harvest yellowfin tuna using purse seine nets and then transfer the fish into large cages where they will be kept for rearing. Concerns have been expressed over the sustainability of the amount of fish that will be harvested as well as the environmental impacts of the purse seine method. The invasion of the venomous lionfish has been a serious threat to the fishing and tourism industry. Studies have shown that a lionfish can consume over 75% of a reef’s fish population in a matter of weeks (Hixon, Albins, & Redinger, 2009). Such competition could cause Bahamas fisheries to collapse and lead tourists to other countries in search of more colourful reefs. Other significant species and habitats Turtles Four species of sea turtles: the loggerhead, the green turtle, the hawksbill turtle and the leatherback turtle are found around the islands and cays of The Bahamas. These creatures are an important part of the country’s marine biodiversity. As of 2009 The Bahamas fisheries regulations were amended so that all marine turtles are now protected and banned from exploitation. Although hunting pressure on marine turtle populations has now been reduced they must still contend with climate change impacts that can destroy nesting sites and habitats. A 1m SLR is expected to cause damage to 35% of sea turtle nests in The Bahamas. Intense tropical cyclones and accompanying storm surge will alter beachfront and impact on nesting areas (Simpson, et al., 2010). Warmer temperatures may skew sex ratios in developing eggs and 73 thereby reduce the reproductive capacity of sea turtles. Such impacts will mean a loss of potential for the country’s expanding ecotourism industry and a disruption of its marine ecosystem. Marine mammals Marine mammals that are occasionally spotted in The Bahamas include 3 species of dolphin: the bottlenose, the Atlantic spotted and the spinner, and four species of migratory whales: minke, sperm, beaked shortfin and humpback. Dolphins in particular have been a popular tourist attraction since the 1980’s. Whale watching is conducted from the islands of Grand Bahama, Bimini and Abaco Island and has increased in the number of tours offered over the years. Despite there being only about 11 persons employed in this business it generated US $3,983,310 in total expenditures in 2008 (O’Connor, Campbell, Cortez, & T.Knowles, 2009). There is untapped potential for income from whale watching however such potential may not be realised since current evidence suggests that the distribution and/or abundance of cetaceans are likely to alter in response to continued changes in sea surface temperature with global climate change (Lamberta, Hunter, Pierce, & MacLeod, 2010). Sharks The Bahamas has one of the world’s largest and most diverse shark populations, including hammerheads, tiger sharks, nurse sharks, makos and lemon sharks. Expenditure on shark related tourism amounts to approximately US $78,000,000 each year (Lowe, 2011). Studies conducted on the Great Barrier Reef in Australia indicate that changing temperatures, SLR and changes in ocean currents as a result of global climate change may affect shark behaviour and distribution (Hobday, Okey, Poloczanska, Kunz, & Richardson, 2006). Loss of marine biodiversity will mean significant loss of earnings for the economy and loss of livelihood opportunities for Bahamians. Although not yet documented, sharks may be potential predators of the invasive lionfish which are rapidly spreading throughout the Caribbean region. Maintaining shark populations may therefore help to reduce the damage done by this invasive species. Although there are currently no specific regulations on shark fishing, the ban on longline and gillnet use essentially prohibits the commercial harvest of sharks. However a local sea-food company has expressed interest in starting a shark-finning operation and this presents a very real threat to The Bahamas shark population since the lack of regulations means that there is presently no control over the harvest of these species. 4.5.2. Vulnerability of biodiversity and fisheries to climate change Climate change impacts on forests The effects of global warming such as SLR, intensified storms and changes in precipitation patterns will have compounding impacts on Bahamian forests. Climate models indicate increases in peak wind intensities and rainfall associated with cyclones in the Atlantic. SLR and storm surge from hurricanes pose a big threat to ground water resources associated with forests. Increased salinisation of freshwater lenses may cause changes in the growth patterns and species composition of pine and coppice forests. Intensified extreme events will also reduce tree cover increasing the risk of soil erosion (NCCC; BEST, 2005). Climate model projections suggest that there will be changes in seasonal precipitation with a tendency towards decreases in rainfall during MAM and JJA, and small decreases in SON and DJF. The forests of The Bahamas have already experienced the damaging impacts of combined extreme weather events when portions of Abaco’s pine forest were damaged by Hurricane Floyd in 1998 and subsequently suffered further the following year when an extended drought caused forest fires that destroyed hundreds of acres of pine stands (Myers, Wade, & Bergh, 2004). Fires can be both friend and foe to Caribbean Pine forests. 74 These forests are known as “fire climax communities” meaning that they require periodic fires to remove shading, broad-leaf trees so that juvenile pines can get sufficient light. However if fires occur too often they can be detrimental to the forest by reducing the recovery period and creating a shortage of the fruit and seeds which forest inhabitants feed on. Frequent fires may result from protracted periods of drought brought on by climate change and will retard sufficient pine regeneration over the long-term. Climate change impacts on mangroves It is anticipated that global climate change will aggravate the impacts of current human stressors on mangroves and further reduce their natural resilience. Observed and GCM ensemble projections of temperature change in The Bahamas will not likely have adverse direct impacts on the country’s mangrove forests. However, mangroves could be indirectly impacted since increased temperatures will be damaging to coral reefs, which mangroves depend on for shelter from wave action. SLR is expected to pose the greatest climate change threat to mangroves (McLeod & Salm, 2006). A 1-2 m rise in sea level is projected to affect 5-10% of Bahamas wetlands by either expanding or confining their habitat. SLR and salt water intrusion will increase soil salinity and may allow wetland vegetation to spread. This could result in a change in Bahamas pine and coppice forests composition as they gradually evolve into perennial wetlands (BEST, 2001). On the other hand, if mangroves are obstructed from migrating inland due to man-made infrastructure, they may be over-come by SLR and eventually lost. The location of mangrove stands along coastlines increases their vulnerability to the impacts of hurricaneforce winds and storm surge. Bahamian mangrove forests have suffered damages from cyclones which strip trees of their leaves and alter seed dispersal and seedling recruitment (Rathcke & Landry, 2003). Mangrove species exhibit different responses to storm damage and a forest’s community structure could thus be changed by tropical storms and hurricanes. The long term effects of extreme events on mangrove stands are uncertain but will most likely mean a loss of the many essential services provided by these ecosystems. The best approach is therefore to preserve and build mangrove communities given the economic and life saving benefits they offer. Climate change threats to beaches The islands of The Bahamas are low-lying with an average elevation of about 10 m (maximum elevation 60 m). SLR thus poses serious threats to the country’s economy, livelihoods and physical security. Most hotels and resorts in The Bahamas are situated along the coastline to take advantage of the attraction of the islands’ beaches. These structures are thus highly vulnerable to any significant coastal erosion that will result from SLR and tropical cyclones. Buildings and other coastal infrastructure will also prevent the natural migration of beaches inland with SLR – typically beaches migrate 100 m inland (horizontally) for every 1 m of SLR (vertical) (Bruun, 1962). The loss of beach width due to man-made structures is already happening in many coastal areas in The Bahamas and globally and has been termed “coastal squeeze”. Hurricanes and such extreme weather events can cause dramatic changes to beachscape by removing large volumes of sand in just one event (Figure 4.5.5). The recovery of a beach from an extreme event may be lengthy depending on the extent of damage done and the available sand reserves which can be constrained by coastal development and coral reef health. The presence of coastal vegetation is an important factor in the recovery and stabilisation of dunes and beaches. 75 Figure 4.5.5: Beach erosion along Cabbage Beach (Source: The Tribune, 2010) Climate change impacts on beaches will threaten the survival of other species such as marine turtles and shore birds. A 1 m SLR is predicted to damage 35% of turtle nesting sites (Simpson, et al., 2010). As a signatory to CITES The Bahamas has an obligation to protect these marine reptiles. An indirect impact of climate change on beaches will come from damages to nearshore coral reefs. Coral reefs are important sources of sand therefore the negative impacts that climate change is expected to have on them will mean a loss of reserves for beach nourishment. The impacts of climate change on coral reefs will be considered in the following sections. Climate change impacts on corals The ability of coral reef ecosystems to survive the impacts of climate change will depend on the extent of degradation caused by local stressors and the frequency of exposure to climatic impacts (Donner, 2005). Increased sea surface temperature, ocean acidification, SLR and extreme events will each increase incidents of coral damage. Corals are vulnerable to thermal stress and have low adaptive capacity to changes in temperature. In response to an anomalous sea surface temperature (SST) (about 1°C above average seasonal temperature) and increased solar radiation corals bleach, i.e. expel the symbiotic algae that are critical to the life of the coral (Mimura, et al., 2007). Observed SST from the HadSST2 gridded dataset indicates statistically significant increasing trends in JJA (+0.09˚C) and SON (+0.09˚C) in the waters surrounding The Bahamas for the period 1960-2006. GCM projections indicate increases in SST throughout the year ranging from +0.9˚C and +3.0˚C by the 2080s across all three emissions scenarios. Such temperature increases will result in more frequent coral bleaching events and widespread mortality, unless corals are able to acclimatise to warmer waters (Nicholls, 2007). Fortunately The Bahamas corals have not suffered as much from bleaching events as some other islands have. One survey conducted after the mass bleaching episode of 2005 recorded 17% of bleached coral but no recently killed coral. A subsequent survey the following year recorded 18% live coral cover indicating that there was little or no coral mortality in The Bahamas (Jones, et al., 2007). However climate models imply that thermal thresholds will be exceeded more frequently with the consequence that bleaching will recur more often than reefs can sustain (Donner, 2005). Recent research in The Bahamas showed that corals inside an MPA recover faster after a mass bleaching event because the larger biomass of herbivorous fish – such as parrotfish - inside MPAs keep the corals free 76 of harmful algae during their slow recovery (Mumby & Harborne, 2010). This ability of MPAs to increase the resilience of corals is particularly important as the impacts of climate change are projected to accelerate in the coming decades. Warmer oceanic waters will facilitate the uptake of anthropogenic CO2 which will decrease the pH of the seawater. The impacts this will have on marine ecosystems are still unknown, though some scientists suggest that more acidic waters may dissolve and weaken the skeletal structure of coral and other calcifying organisms. Coral structure is also susceptible to heavy damage from hurricanes as they may be broken, uprooted and destroyed during high wave or storm surge events. Hurricanes are expected to increase in intensity over the coming years and each event will set back any recovery that damaged reefs have been able to make. The loss of corals would mean greatly reduced biodiversity and ecosystem functions in coastal areas, as well as substantial economic losses to the fisheries and tourism sectors (Anderson, 2000). Climate change and sea grass beds There has been little study on climate change impacts on sea grass beds. The proximity of seagrass beds to coral reefs exposes them to similar climatic change impacts such as increased SST, SLR, ocean acidification and increased storm intensity. Climatic stressors added to existing local stressors can reduce the productivity of seagrass meadows resulting in direct impacts to commercial fisheries and recreational marine activities. Climate change impacts on fisheries Little is known about the long-term effects of climate change in the Caribbean Sea and on its fisheries. As previously discussed, climate change will generally have negative and possibly debilitating impacts on coral cover, seagrass beds and mangrove ecosystems that are all important to various life stages of commercial fish. Removal of this service will reduce the abundance and diversity of reef fish. Pelagic fisheries, including blue marlin and swordfish, are important game fish in The Bahamas. Warmer waters may drive pelagic species away from the tropics in search of cooler temperatures and could potentially alter breeding patterns. An additional concern is that SST increases can increase the frequency of algal blooms as well as the likelihood of ciguatoxin infection, a potentially fatal toxin to humans that accumulates in the tissues of some species of fish (BEST, 2001; BBC, 2010). 77 Table 4.5.2: Summary table of biodiversity in Bahamas and related anthropogenic and climate change threats Threats Climate change Ecosystem/species Goods/Services Rendered Forests Lumber, wood for fuel, fish pots, crafts; agricultural land, climate regulation, flood defence, medicinal Deforestation, urban sprawl, Salt water intrusion, drought, intensified cyclones, increased fires Mangroves Soil stability, sediment deposit, nursery for marine species, natural water filter, storm defence, nesting and roosting grounds for birds, medicinal, tannins Removal of mangroves for construction, dredging, nearshore pollution Sea level rise, changes in precipitation, intensified cyclones, indirect impacts from loss of coral reefs due to climate change Beaches Tourist attractions, shoreline defence, nesting grounds for turtles Coastal erosion from construction, poorly sited groynes, near shore pollution, illegal sand mining Sea level rise, increased wave action from extreme events Corals Reefs Primary productivity, habitat for marine species, beach protection and stability, sand source, fisheries resource, medicinal significance, tourist attraction Sedimentation from construction, overfishing, destructive fishing methods, land based pollution including raw sewage, physical damage from anchors and divers Sea temperature rise, sea level rise, ocean acidification, intensified storms Seagrass beds Primary productivity, nursery for marine species (supports fisheries and dive tourism), nitrogen fixation, shoreline stability, reducing turbidity of water, food source for green turtles, recycle nutrients Deteriorating water quality (sedimentation, eutrophication), anchor damage, dredging Sea level rise, intensified storms, potential impacts from ocean acidification and increased sea surface temperature Fisheries Important source of protein, provides livelihood for fishers, fish processors and vendors, Overfishing of near shore reefs, degradation of nurseries and habitats (mangroves, sea grass beds, coral reefs) Sea level rise, sea surface temperature increases may damage threaten reef fisheries, SST may change migration and reproductive patterns; may make species more susceptible to disease Other species: Important to the food web, ecotourism opportunities Pollution of marine environment, overextraction, poaching Temperature rise may alter breeding and migration patterns. Sea Turtles Anthropogenic Marine mammals SLR will reduce available nesting sites for turtles Sharks 78 4.6. Sea Level Rise and Storm Surge Impacts on Coastal Infrastructure and Settlements 4.6.1. Background Small islands have the majority of their infrastructure and settlements located on or near the coast, including government, health, commercial and transportation facilities. In the Caribbean more than half of the population live within 1.5 km of the shoreline. The Bahamas is no exception to this as the economy is dominated by the tourism sector, which accounts for over half of the country’s gross domestic product (BEST, 2001). With its high-density development along the coast, the tourism sector is particularly vulnerable to climate change and SLR. This section of the report will focus on the coastal vulnerabilities associated with ‘slow-onset’ impacts of climate change, particularly inundation from SLR and SLR induced beach erosion, as they relate to tourism infrastructure (e.g., resort properties), tourism attractions (e.g., sea turtle nesting sites) and related supporting tourism infrastructure (e.g., transportation networks). These vulnerabilities will be assessed at both the national (The Bahamas) and local (Eleuthera and Harbour Island) scale, with adaptation and protection infrastructure options discussed. Please refer to the following section for climate change vulnerabilities and adaptation measures associated with event driven or ‘fast-onset’ impacts such as disasters and hazards (e.g., hurricanes, storm surges, cyclones). Coastal areas already face pressure from natural forces (wind, waves, tides and currents), and human activities, (beach sand removal and inappropriate construction of shoreline structures). The impacts of climate change, in particular SLR, will magnify these pressures and accelerate coastal erosion. Areas at greatest risk in The Bahamas are Eleuthera and Harbour Island, including notable hotels many parts of the highway, and airports that lie less than 6m above sea level and will all therefore be affected. The estimated coastline retreat due to SLR will have serious consequences for land uses along the coast (UNFCCC, 2000; Mimura et al., 2007; Simpson et al., 2010), including tourism development and infrastructure. A primary design goal of coastal tourism resorts is to maintain coastal aesthetics of uninterrupted sea views and access to beach areas. As a result, tourism resort infrastructure is highly vulnerable to SLR inundation and related beach erosion. Moreover, the beaches themselves are critical assets for tourism in The Bahamas, with a large proportion of beaches being lost to inundation and accelerated erosion even before resort infrastructure is damaged. 4.6.2. Vulnerability of Infrastructure and Settlements to Climate Change As outlined in Section 3.11, there is overwhelming scientific evidence that SLR associated with climate change is projected to occur in the 21st Century and beyond, representing a chronic threat to the coastal zones in The Bahamas. The sea level has risen in the Caribbean at about 3.1 mm/year from 1950 to 2000 (Church et al., 2004). Global SLR is anticipated to increase as much as 1.5 m to 2 m above present levels in the 21st century (Rahmstorf, 2007; Vermeer and Rahmstorf, 2009; Grinsted et al., 2009; Jevrejeva et al, nd; Horton et al., 2008). It is also important to note that recent studies of the relative magnitude of regional SLR also suggest that because of the Caribbean’s proximity to the equator, SLR will be more pronounced than in some other regions (Bamber et al., 2009; Hu et al., 2009). Based on the sea-level rise scenarios for the Caribbean (see sections 3.11 and 3.12) and consistent with other assessments of the its potential impacts (e.g., Dasgupta et al., 2007 for the World Bank), 1.0 m and 2.0 m sea-level rise scenarios and beach erosion scenarios of 50 m and 100 m were calculated to assess the potential vulnerability of major tourism resources across The Bahamas. 79 To examine the SLR exposure of The Bahamas, research grade Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Digital Elevation Model (GDEM) data sets that were recently publically released by the National Aeronautics and Space Administration (NASA) and the Japanese Ministry of Economy, Trade and Industry, were integrated into a Geographic Information System (GIS). The ASTER GDEM was downloaded from Japan’s Earth Remote Sensing Data Analysis Centre using a rough outline of the Caribbean to select the needed tiles, which were then loaded into an ArcMap document. The next step was to mosaic the tiles into a larger analysis area, followed by the creation of the SLR scenarios as binary raster layers to analyse whether an area is affected by SLR through the reclassification of the GDEM mosaics (see Simpson et al., 2010 for a more detailed discussion of the methodology). These assessments were used to calculate the impacts of sea level rise on the islands. To examine SLR-induced coastal erosion, a simplified approximation of the Bruun Rule (shoreline recession = sea-level rise X 100) that has been used in other studies on the implications of sea-level rise for coastal erosion was adopted for this analysis. The prediction of how sea-level rise will reshape coastlines is influenced by a range of coastal morphological factors (coastal geology, bathymetry, waves, tidal currents, human interventions). The most widely used method of quantifying the response of sandy coastlines to rising sea levels is the Bruun Rule. This rule is appropriate for assessing shoreline retreat caused by the erosion of beach material from the higher part of the beach and deposition in the lower beach zone, reestablishing an equilibrium beach profile inland (Zhang et al., 2004). A summary of results for SLR and erosion impacts in The Bahamas at the national level are noted in Table 4.6.1. These results highlight that some tourism infrastructure is more vulnerable than others. A 1 m SLR places 36% of the major tourism properties at risk, with an additional 50% at risk with a 2 m SLR. It is important to note that the critical beach assets would be affected much earlier than the SLR induced erosion damages to tourism infrastructure. Table 4.6.1: Impacts associated with 1m and 2m SLR and 50m and 100m beach erosion in The Bahamas Tourism Attractions SLR Erosion Transportation Infrastructure Major Tourism Resorts Sea Turtle Nesting Sites Airport Lands Road Networks Seaport Lands 1.0m 36% 35% 38% 14% 90% 2.0m 50% 37% 53% 19% 90% 50m 58% 80% - - - 100m 70% 80% - - - Indeed if erosion is damaging tourism infrastructure, it means the beach will have essentially disappeared. With projected 100 m erosion, nearly all the resorts in The Bahamas would be at risk. Such impacts would transform coastal tourism in The Bahamas, with implications for property values, insurance costs, destination competitiveness, marketing and wider issues of local employment and economic well-being of thousands of employees. Sea turtle nesting sites, a tourist attraction, are also at risk to SLR and erosion, with 80% affected by 50 m erosion scenario and all at risk with 100 m beach erosion. Transportation infrastructure, also of key importance to tourism, is at great risk. Ports are the most threatened, with 90% of port lands in the country projected to be inundated with a 2 m SLR, followed by 19% of road networks, or 290 km of road and approximately 53% of airport lands. 80 Given The Bahamas’ tourism dependent economy, the country will be particularly affected with annual costs as a direct result of SLR. For example, the tourism sector in The Bahamas will incur annual losses between US $869 million in 2050 to over US $2.6 billion in 2080 (based on a mid range scenario). Capital costs are also high, with rebuild costs for tourist resorts damaged and inundated by SLR amounting to over US $400 million in 2050 up to US $946 million in 2080. Infrastructure critical to the tourism sector will also be heavily impacted by SLR resulting in capital costs to rebuild ports estimated to be between US $234 million by 2050 to US $449 million by 2080. Capital costs to rebuild roads are estimated to be between $110 million in 2050, to $211 million by 2080. Airports, which are very expensive and essential tourism infrastructure, will be greatly impacted by SLR resulting in estimated rebuild costs of $926 million (2050) to $1.8 billion (2080). In addition to the national assessment, the CARIBSAVE partnership coordinated a field research team with members from the University of Waterloo (Canada), Oxford University (UK) and The Bahamas Meteorological Service to complete detailed coastal profile surveying. The field team conducted 15 survey transects (perpendicular to the shoreline) at locations on Eleuthera Island and Harbour Island where tourism infrastructure was present and in two locations where future development was planned (Figure 4.6.1 and Figure 4.6.2). The sites were surveyed using Trimble Geo-XT(R) satellite-based augmentation system (SBAS) differential GPS units with sub-metre accuracy in both horizontal and vertical planes. Figure 4.6.1: High Resolution Coastal Profile Surveying with GPS Vertical measurements were adjusted according to the height of the receiver relative to the ground. The water’s edge was fixed to a datum point of 0 for the field measurements, but later adjusted according to tide charts. Generally, satellite connections were very good, receiving up to 10 satellites, resulting in submetre accuracy. The mean vertical accuracy for all points was approximately 0.6 m while the horizontal accuracy had a mean average of 0.5 m accuracy. Each transect point measurement was averaged over 30 readings taken at 1 second intervals. At each point, the nature of the ground cover (e.g., sand, vegetation, concrete) was logged to aid in the post-processing analysis. Ground control points (GCP) were taken to anchor the GPS positions to locations that are identifiable from aerial photographs to improve horizontal accuracy. These were taken where suitable landmarks existed at each transect location and throughout the island. GCP points were measured over 60 readings at 1 second intervals. Following the field collection, all of the GPS points were downloaded on to a Windows PC, and converted into several GIS formats. Most notably, the GPS points were converted into ESRI Shapefile format to be used with ESRI ArcGIS suite. Aerial Imagery was obtained from Google Earth, and was geo‐referenced using the GCPs collected. The data was then inspected for errors and incorporated with other GIS data collected while in the field. Absolute mean sea level was determined by comparing the first GPS point (water’s edge) to tide tables to determine the high tide mark. Three dimensional topographic models of each of the study sites were then produced from a raster topographic surface using the GPS elevation points as base height information. A Triangular Irregular Network (TIN) model was created to represent the beach profiles in 81 three dimensions. Contour lines were delineated from both the TIN and raster topographic surface model. For the purpose of this study, contour lines were represented for every metre of elevation change above sea level. Using the topographic elevation data, flood lines were delineated in one metre intervals. In an effort to share the data with a wider audience, all GIS data will be compatible with several software applications, including Google Earth. Figure 4.6.2: GPS Surveying Transects on Harbour Island The high resolution imagery provided by this technique is essential to assess the vulnerability of infrastructure and settlements to future sea-level rise, but its ability to identify individual properties also makes it a very powerful risk communication tool. Having this information available for community level dialogue on potential adaptation strategies will be highly valuable. Table 4.6.2 shows that even under a 0.5 m sea-level rise, 69% of the highly valued beach resource on Eleuthera and Harbour Island would be inundated. The response of tourists to such a diminished beach area remains an important question for future research; however local tourism operators perceive that these beach areas along with the prevailing climate are the island’s main tourism attractions. Table 4.6.2: Eleuthera and Harbour Island Beach Resources at Risk to Sea Level Rise SLR Scenario 0.5 Metre 1.0 Metre 2.0 Metre 3.0 Metre Beach Area Lost (m²) 144,894 155,278 179,715 208,959 82 Beach Area Lost (%) 69.34% 74.31% 86.01% 100.00% Figure 4.6.3 clearly illustrates that the longer term erosion response of the shoreline to a 1 m sea-level rise (dashed red lines) would have significant implications for the shoreline and the loss of a total of 7 high value commercial tourism properties and 71 private residences along the western shore of Harbour Island. Figure 4.6.3: Sea Level Rise Vulnerability on Harbour Island – Zone A and B 83 4.7. Comprehensive Natural Disaster Management 4.7.1. History of disaster management globally Though natural hazards have been affecting populations and interrupting both natural and human processes for millennia, only in the last several decades have concerted efforts to manage and respond to their impacts on human populations and settlements become a priority. Most recently these efforts have been informed by work at the International Strategy for Disaster Reduction (ISDR), a United Nations agency for disaster reduction created after the 1990s International Decade for Natural Disaster Reduction. After several years of reporting on hazards and impacts, the ISDR created the Hyogo Framework for Action (HFA) in 2005. This strategy aimed at preparing for and responding to disasters was adopted by many countries in order to address a growing concern over the vulnerability of humans and their settlements. The HFA took the challenges identified through disaster management research and practice and created five priorities: Priority #1: Ensure that disaster risk reduction is a national and local priority with a strong institutional basis for implementation. Priority #2: Identify, assess and monitor disaster risks and enhance early warning. Priority #3: Use knowledge, innovation and education to build a culture of safety and resilience at all levels. Priority #4: Reduce the underlying risk factors. Priority #5: Strengthen disaster preparedness for effective response at all levels. (ISDR, 2005) Extensive elaboration of each priority is beyond the scope of this report, however, there are some key points to discuss before moving forward to a discussion of the local disaster management context. Priority #1 of the HFA can be thought of as the foundation for hazard and disaster management. Given that governance and institutions also play a critical role in reducing disaster risk,…fully engaging environmental managers in national disaster risk management mechanisms, and incorporating risk reduction criteria into environmental regulatory frameworks [are key options for improving how institutions address disaster-related issues] (UNEP, 2007, p. 15). The Hyogo Framework suggests strengthening effective and flexible institutions for enforcement and balancing of competing interests (UNEP, 2007). Priority #2 focuses on spatial planning in order to identify inappropriate development zones, appropriate buffer zones, land uses or building codes and the use of technology to model, forecast and project risks (UNEP, 2007, p. 15). The development of technology for mapping, data analysis, modelling and measurement of hazard information offers decision makers a much better understanding of the interaction hazards have with their economy and society. Priority #3 encourages the promotion and integration of hazard education within schools to spread awareness of the risks and vulnerability to the individuals of at-risk communities. This relates to climate change awareness as well. The countries of the Caribbean, including The Bahamas, not only face annual hazards, but will also be directly affected by changes in sea levels, more extreme temperatures and other predicted climate changes. By educating children, hazard information will be transferred to adults and basic knowledge about threats and proper response to hazards, as well as climate change, can help improve community-level resilience. It is important that hazard and climate change awareness be promoted within 84 the tourism sector as well, since tourists may not be familiar with the hazards in their destination and will thus require direction from their hosts. Priority #4 of the HFA demands the synthesis of the previous three priorities: governance, education and awareness, and appropriate technologies. “To develop and implement effective plans aimed at saving lives, protecting the environment and protecting property threatened by disaster, all relevant stakeholders must be engaged: multi-stakeholder dialogue is key to successful emergency response” (UNEP, 2007). Not only is this dialogue encouraged here; Goal 8 of the Millennium Development Goals (MDGs), also advocates for participation and open communication. As climate change threatens the successful achievement of the HFA and the MDGs, simultaneous dialogue about development and risk management will ensure continued resilience in communities and countries across the Caribbean. The final priority of the Hyogo Framework, Priority #5, is geared toward a more proactive plan of action, rather than the reactive disaster management that has failed to save lives on many occasions in the past. It is now commonplace to have this same proactive approach to disaster management. However, finding ways to implement and execute these plans has proven more difficult (Clinton, 2006). As you will note, managing disaster risks requires a cross-sectoral understanding of the interdependent pressures that create vulnerability as well as demanding cooperation of various sectors. 4.7.2. Natural hazards in the Caribbean and The Bahamas There are three broad categories of hazards, and the countries in the Caribbean Basin could face all, or most, of them at any given time. Table 4.7.1: Types of Hazards in the Caribbean Basin Hydro-meteorological Geological Biological Hurricane Tropical Storm Flooding Drought Storm Surge Landslide/mud-flow Earthquake Volcano Tsunami Epidemic Wildfire/Bushfire The Bahamas is at risk to all of these hazards except volcanoes and, because of the topography, the islands face very limited landslide risks. Flooding is commonly associated with weather troughs and frontal systems and often storm surges accompany flooding during tropical storms and hurricanes (Smith, Zapata, & Meli, 2007). Health epidemics in The Bahamas range from vector-borne diseases, like dengue fever, to infectious diseases like influenza; further details on disease outbreaks and their relationship with climate change have been discussed in detail in Section 4.4 Human health in this profile. As mentioned, much of the biological diversity, infrastructure, industries and communities of The Bahamas will be increasingly prone to natural disasters under climate change, in particular sea-level rise and extreme events such as hurricanes, floods and drought. The Bahamas archipelago is located to the north-east of the Caribbean Sea in the ‘Atlantic Hurricane Belt’; an area that has historically seen repeated hurricane 85 impacts. Recent hurricanes have had significant physical impacts in The Bahamas. Additionally there have been economic disruptions and livelihood impacts. [F]ollowing Hurricane Frances [in August 2004], the Crowne Plaza Golf Resorts and Casino at the Royal Oasis in Grand Bahama laid-off some 1,300 employees. The resort is expected to remain closed until February 2005. ...Old Bahama Bay in Grand Bahama closed until late November, leaving 146 employees temporarily jobless, and Club Viva Fortuna on that island closed until December, leaving 150 people jobless. ...Club Med in San Salvador closed after the property was damaged by Hurricane Frances. The exquisite resort was expected to remain closed for eight weeks. (Small, 2004) Regular hurricane and tropical storm impacts in The Bahamas have led to a situation where many funds are dedicated to recovery and reconstruction and that means money is not available for sustainable development projects. Furthermore, the major economic contribution tourism makes in The Bahamas means that interruptions in tourist flows affect employment and the greater economy as well. Projected changes in climate, specifically SLR, are likely to change the natural environmental features tourists expect (e.g. coral reefs and beaches), as well as seriously affecting tourism infrastructure located in low lying coastal areas – discussion of specific vulnerability of biological diversity and tourism infrastructure is located in sections 4.5 and 4.6 respectively. In 2004 two storms, Hurricane Jeanne and Hurricane Frances, impacted Bahamas. Their impacts revealed the vulnerability of The Bahamas islands to flooding, storm surge and high winds. The location of the archipelago has meant frequent hurricane and tropical storm impacts, but it is their physical geography that creates even greater risk. Of particular concern during hurricanes in The Bahamas are the impacts from flooding and storm surge, as well as droughts. A summary of recent impacts and losses from hurricane events, Table 4.7.2, demonstrates the regularity with which Bahamas have been hit with this hazard and the great losses that have resulted from hurricane impacts. Exposure is high in the Bahamas and the frequency of hurricane impacts generates great vulnerability because households and businesses can be in a perpetual stage of reconstruction and recovery. Under projected climate change scenarios, the low-lying nature of these islands exposes much of the population to the impacts of storm surges and also makes much of the population highly vulnerable to SLR. Climate change projections indicate that SLR will also increase the storm surge heights in the future and therefore some of the smaller islands of The Bahamas will see increased flooding associated with hurricanes. Although the frequency of tropical storms cannot be predicted, climate scientists suggest that storms will increase in intensity which will lead to greater wind speeds in the storms that do occur (see Section 3: Climate Modelling). Maps and further discussion of some of the likely impacts from SLR can be found in the section on Sea Level Rise and Storm Surge Impacts on Coastal Infrastructure and Settlements. 86 Table 4.7.2: Summary of Recent Tropical Storm and Hurricane Impacts Date Storm name Locations Impacted # of People Affected # of Deaths Economic Impacts 1966 - Oct Tropical Storm Ines Nassau, Bimini 3 injured 5 dead US$ 15,500,000 1992 - Aug Hurricane Andrew Eleuthera, Bimini, Berry Islands 1,700 homeless 4 dead US$ 250,000,000 1999 - Sept Hurricane Floyd Grand Bahama, Providence Island, San Salvador, Eleuthera, Abaco, Cat island, Rum Cay, Man-O-War Cay, Green Turtle Cay, Elbow Cay, Harbour, Govenor, Nassau 1,500 homeless 1 dead US$ 450,000,000 2001 - Nov Hurricane Michelle New Providence 0 0 US$ 300,000,000 2004 - Sept Hurricane Francis/Jeanne Great Abaco, Grand Bahama 9,000 homeless 12 dead US$ 1,550,000,000 2005 - August Hurricane Wilma Cat Island 1,500 homeless 200 homes destroyed 1 dead 0 2007 Hurricane Noel Long Island, Cat Island, Exuma 7,000 homeless (3,500 affected Long Island, 2,000 displaced Cat Island, 1,500 Exuma) 1 dead US$ 100,000,000 2008 Hurricane Ike and Hanna Inagua 3,000 homeless 0 dead 0 (Source: EM-DAT, 2009 and ReliefWeb, 2011) 87 4.8. Community Livelihoods, Gender, Poverty and Development: the Case Study of the Abaco Island Communities, The Bahamas Where disasters take place in societies governed by power relations based on gender, age or social class, their impact will also reflect these relations and as a result, people’s experience of the disaster will vary. Madhavi Ariyabandu (UNECLAC, UNIFEM and UNDP, 2005) 4.8.1. Background Abaco Island was selected as the community in which to implement the Community Vulnerability and Adaptive Capacity Assessment methodology developed by The CARIBSAVE Partnership based on the established criteria and recommendations from the Government of The Bahamas. According to The Bahamas Ministry of Tourism website (MOT, 2011). The Abacos are known as one of the world’s top boating and sailing destinations. The Abaco Islands form a boomerang-shaped 120-mile-long island chain that stretches over 650 square miles. Great Abaco’s coastline features full-service marinas and resorts. Marsh Harbour is the main town with a selection of hotels, restaurants and bars, charter boat services, and several full-service marinas. Treasure Cay to the north of Marsh Harbour is a hotel, golf course, marina and real estate development wrapped around a beach and to the south lies Little Harbour, a protected bay with a small artist colony. The main tourist activities apart from sailing are marine recreation such as snorkelling, diving and fishing, golf and general touring of historic sites. The Abacos are accessible through two international airports and a number of ferries and mail boats. The Cays have a number of small fishing towns like Hope Town on Elbow Cay and New Plymouth on Green Turtle Cay. Hope Town is home to a lighthouse, which was quite controversial when it was under construction back in 1863 because up until then, the island’s residents had been making a comfortable living by salvaging ships that wrecked on the offshore reefs. Man-O-War Cay is a conservative “dry” island, and The Abacos’ boat-building centre, with a naturally protected harbour and boatfitting and sail shops. Great Guana Cay has a bar sitting on top of a tall sand dune, which overlooks Guana’s sevenmile-long beach (MOT, 2011). Abaco is the third most populous island in The Bahamas with a population of 16,692 or 4.72% of the national total in 2010 (Bahamas Department of Statistics, 2010c) and unlike the rest of The Bahamas, Abaco has maintained an almost 50:50 distribution of Caucasian and African-descent Bahamians from plantation times (MOT, 2011). In addition to the Bahamian nationals living on Figure 4.8.1: Map of The Bahamas showing location of Abaco (Source: http://www.1st-bahamas.com/bahamas_map.html) 88 Abaco, the population is swollen in winter months by second home owners (Kerr, 2006) and a continuing challenge faced by The Bahamas in general including Abaco is the number of illegal and therefore undocumented migrants from Haiti. Illegal immigration is a major problem for The Bahamas and in addition to increasing population numbers, the location of immigrants and true density of some settlements are not always well-known, thus creating a challenge for disaster preparedness and response strategies. The assessment of Haitian migration into The Bahamas (The College of the Bahamas, 2005) indicates that the Haitian community remain isolated but there is evidence that Haitians are availing themselves of the government education services and health services. Given their status as low-income, unskilled labour, the Haitian community live in poor quality housing, making them particularly susceptible to natural disasters. The study makes specific reference to the communities in Abaco near Marsh Harbour and calls for relocation following disasters (fires and hurricanes) or complaints about lack of garbage collection, human waste contaminating the water table and migrant burial practices (The College of the Bahamas, 2005). There has also been concern about the spread of disease such as cholera through these communities. The role Haitian labour had played in the development of agriculture and forestry in Abaco was lauded after the collapse of the citrus farms in 2005. Media-estimates of the Haitian population in Abaco are between 4 and 10 thousand, which is substantial in a total population of over 16 thousand. This is substantiated by the 2000 census data which puts the Haitian population at 24.5% of the total South Abaco population (The College of the Bahamas, 2005) and also indicates that Haitians on Abaco are living above the poverty line. A disproportionate number of Haitian children are attending government schools on Abaco. As discussed below, the settlements in Abaco are typically located in coastal areas. This settlement pattern in combination with the low-lying topography and extended coastline places these communities at greater risk from the natural hazards common to the rest of the Caribbean, i.e. storm surge, storm water run-off challenges and the propensity for ponding (Environmental Solutions, 2005). As described in Section 2.2, the national unemployment rate rose significantly between 2008 (8.7%) and 2009 (14.2%) (ECLAC, 2010b). The 2009 unemployment rate is reported to be the highest in over 10 years (Central Bank of the Bahamas, 2010) with slightly more men unemployed than women (14.4% compared to 14%). The mean national income in 2009 was US $38,314 and the median income was $30,318 (Bahamas Department of Statistics, 2009). The CARIBSAVE Community Vulnerability and Adaptive Capacity Assessment methodology uses participatory tools to determine the context of the community’s exposure to hazards, and a livelihood approach to assess adaptive capacity. All data are disaggregated by gender. The three main means of data collection are: (i) a community vulnerability Figure 4.8.2: Workshop group mapping exercise. mapping exercise and discussion which are the main activities in a participatory workshop; (ii) three focus groups (two single-sex; and one for those in tourism-related livelihoods; and (iii) household surveys to determine access to five livelihood assets (financial, physical, natural, social and human). Livelihood strategies (combinations of assets) are evaluated to determine the adaptive capacity of households and consequently communities. Due to the broad level of interest and existing vulnerabilities, participants came 89 from Grand Abaco Island as well as from the smaller surrounding cays. The analysis that follows, and most of the information in other sections on ‘Community Livelihoods, Gender, Poverty and Development’, have been informed by a small sample of community members participating in the research. Observations may be specific to some parts within the study area but overall findings (assessments of vulnerability and adaptive capacity) are assumed to be representative for the entire community. 4.8.2. Natural Resources and Community Livelihoods Observed Changes to the Natural Environment Persons in the community considered themselves to have average (54%) to good (31%) understanding of climate change. A number of workshops have been held in the community on conserving energy and promoting energy efficiency and there has been one climate change workshop. The community clearly has a good appreciation for the variety of impacts predicted to occur as well as existing vulnerabilities which would be exacerbated by climate change. These include: sea level rise increasing temperatures and the likely effects on agricultural productivity and ecosystems (change in habitats, possible introduction or proliferation of invasive species) changes in diurnal and seasonal temperatures with increased occurrence of temperature extremes that may affect tourist destination choices by tourists seeking more comfortable conditions during the winter season physical changes that will impact social and economic elements of society (livelihoods, recreation, etc.) implications for other sectors such as energy (using heating and cooling systems more frequently in response to temperature extremes) and freshwater a concern about emerging economies (for example China, India) that depend on resource-intensive and polluting industries the need for Caribbean countries to protect their natural ecosystems, which serve as natural defence mechanisms to protect the mainland from certain impacts development projects that prove destructive or unsustainable to the natural environment. This depth of understanding of the implications of climate change demonstrates that within the Abaco community there are valuable resource persons who can assist in addressing vulnerability of communities. Many community residents acknowledge and report experiences with/observations of climate change impacts. Coral bleaching has been observed and a number of areas have been impacted by storms. These areas include Hope Town where previous experiences with storms that devastated the community resulted in the establishment of building and development protocols. However, it appears that lately these protocols have been ignored or relaxed and development projects are underway in the same areas which were previously devastated by hurricanes. The area of Dundus Town and Murphy Town sits within a natural drainage course and as a result floods very easily. No infrastructure has been erected to ease the water flow. Natural Resources There are a number of marine areas that support fishing, recreation and offer shoreline protection. The Bahamian reefs are generally healthier than those in other countries around the Caribbean, but have also suffered significant decline. These include the Cays that are surrounded on the eastern side by a number of 90 reefs that are used for commercial and recreational fishing (e.g. bone fishing or catch and release), diving and snorkelling. Fishing is a major industry in Green Turtle Cay. The Bahamas National Trust is implementing Reef Check programmes to determine baseline conditions. Of concern is the report that slums exist behind Marsh Harbour and the sewage produced is discharged untreated into the nearshore and drifts outward for as much as two miles. This is likely to impact on the marine area and make it more vulnerable to the impacts of climate change. However, this has not been confirmed. The Bahamas National Trust manages National Parks or Marine Protected Areas (MPAs) in Manjack Cay (proposed), Black Sound Cay Reserve, Walkers’ Cay - the most northern point of The Bahamas, Abaco National Park, Pelican Cays Land and Sea Park and Tilloo Cay Reserve. There is an old growth pine forest being considered by the Forestry Department for protected area status in the northern part of the island. The Abaco National Park is an essential breeding and foraging area for the very endangered Bahama Parrot (BNT, 2009). There is extensive farmland in the north of Abaco island (about 3,700 acres), just south of Treasure Cay Airport and in the south between Marsh Harbour and Cherokee Sound. The latter has been active for a long time and sits on top of the water table, which is continually active. The land to the north is being cultivated again after the decimation of citrus crops by disease in 2005. It is reported that there is little to no oversight for monitoring of agro-chemical use on farmlands in this area, but this is in the process of being addressed, at least from a policy standpoint. There is an extensive range of coppice lands in the south of the island, typically along the coastal fringe. These areas support the survival of the Bahama Parrot and are privately owned by various individuals. Sustainable development in this area is encouraged. The observations made about farmland locations in relation to groundwater supplies raises concerns about the management of natural resources. The vulnerability of the water supply infrastructure is discussed in the next section, but it was also observed that the aquifers could also be affected by saline intrusion (generally, and accelerated by sea level rise and storm surge events) because the island is very narrow. Key Infrastructure Freshwater is available from a few locations, with active well sites at Cedar Harbour, Marsh Harbour and Spring City. New developments in the south of the island had to be connected to the Marsh Harbour water distribution systems to ensure a reliable water supply. In Cooperstown, there is a large extraction site over one of the largest freshwater lenses in Abaco (approximately 60 feet). Access to freshwater on many of the cays is limited to a few Reverse Osmosis facilities that help to provide water for residents, rainwater harvesting for residential and commercial properties, and shipping water from Great Abaco Island. On Green Turtle Cay specifically, fresh water is now provided via pipeline from Great Abaco Island. Key transport infrastructure exists throughout the island with 4 airports and a number of marinas including 7 official ports of entry (MOT, 2011). The marinas, especially, are vulnerable to coastal inundation and storm surge impacts. Marsh Harbour has a cargo handling and loading area, which are critical to the island’s trade activities, but are also vulnerable to these same impacts. A Ferry dock at Crown Haven facilitates ferry services between Grand Bahama and North Great Abaco Island. Local authorities are also strongly considering the establishment of a Ferry Dock in Cooperstown. Residential and community infrastructure exist in a number of coastal towns and are potentially vulnerable to coastal inundation from storm surge as well as sea level rise impacts. In many areas, development has taken place on reclaimed marshland making them vulnerable to rainfall-induced flooding. The Marsh Harbour and Treasure Cay area has schools and low-lying houses and New Plymouth, Green Turtle Cay is reported to be slightly below sea level and could become partially inundated in the event of hurricane or 91 intense low pressure activity. Many of the communities to the north of the island are situated on the waterfront and there are some proposed tourism developments in the area for small facilities such as motels and boutique-sized facilities. Wood Cay and Mount Hope (fishing communities) are susceptible to sea level rise and storm surge impacts, as well as coastal inundation. The passage of Hurricane Floyd in 1999 severely affected both of these communities. In Cooperstown there is an administrative office and government complex. On Walkers’ Cay there is a fishing community and in Fox Town there are a few schools. Little Harbour is a second home owner community. One of the key issues facing The Bahamas in assessing vulnerability is increasing illegal immigration. Increasing numbers of illegal immigrants place considerable strain on existing infrastructure, and typically live in poor quality housing that increases the vulnerability of the settlements. The nature of illegal immigration means that vulnerable populations are typically underestimated which impacts on the ability to plan adequately for future development, but also to ensure that there is adequate shelter, evacuation and relief planning in the event of an emergency (Environmental Solutions, 2005). In 2004 The Bahamas suffered a direct hit by two consecutive hurricanes - Hurricane Frances and Hurricane Jeanne. Abaco was severely affected by both systems with a storm surge of 12-15 feet causing flooding and damage to personal property, water supply, housing and infrastructure under Hurricane Frances. Three weeks later Abaco was hit again by Hurricane Jeanne with similar effects. Critical service infrastructure exists at: Little Harbour, where there is a light house that is currently out of operation, but considered crucial for guiding marine vessels at night; Wilson City, where there is a nearby power plant; and Fox Town, where there is a clinic and a police station. Community structures/Governance Environment-focused agendas and plans have been halted in the past as a result of a change in government/leadership. So, there remains the need to plan in the long-term for sustainable development, which is not possible if the priorities change with every change in leadership. There are a number of government agencies involved in the development and support of the tourism sector. The Bahamas Tourism Board promotes sustainable tourism development and facilitates sustainable product/eco-product development and marketing. The Board also currently works (or previously worked) with tour guides to educate the guides, and resource-intensive livelihood practitioners (fishermen) to exchange information and involve them in policy development. The Ministry of Tourism facilitates tourism project development and investment in The Bahamas. There is a National Climate Change Committee chaired by the head of the Meteorological Department (Mr. Arthur Rolle) under the auspice of The Bahamas Environment, Science and Technology (BEST) Commission and a number of non-governmental organisations. As part of their mandate to manage the national park system with a number of sites on Abaco, The Bahamas National Trust (BNT) promotes environmental conservation and awareness through protection of sensitive ecosystems and biodiversity. The BNT also: encourages sustainable recreational use of the parks by locals and visitors; and co-ordinates a large and continuous education campaign which includes the Discovery Club and other youth programmes, workshops for teachers (on wetlands, pinelands, and the three main protected species which include the Queen Conch, the Nassau Grouper and the Spiny Lobster), and general public education throughout The Bahamas. The Sandwatch Foundation promotes the conservation of coastal and marine resources and ecosystems through education, awareness and active participation programmes geared towards the youth. Friends of the Environment promote education and awareness of environment issues, geared especially towards the 92 youth. They also lead tours for various groups, and co-ordinate recycling campaigns and clean-ups throughout Abaco. Eco-tours are popular in The Bahamas and the Ministry of Tourism and Friends of the Environment collaborate frequently to implement eco-tourism projects. There is a Bahamas National Climate Change Policy that speaks to ensuring Environmental Impact Assessments incorporate climate change issues (NCCC-BEST, 2005), but it is perhaps the case that this policy is not being adhered to. One example cited was where the central Bahamian government overruled a local (Abaco) government decision against a proposed development that would negatively impact on natural resources. Additionally, mangroves are cleared for development instead of being protected. Financial resources in the community (which are typically sought through grants and donations, membership drives and fund raising activities) are severely constrained as a result of current global and national economic situations and the resulting budget cuts for local programmes. Major foreign financial service providers were reported not to be very supportive during times of disasters and rebuilding. As a result of previous experiences, Abaco residents take a lot more caution and proactive measures when storms approach. In the aftermath of Hurricanes Frances and Jeanne in September 2004, it was reported that most communities in The Bahamas in general seemed to be unaware of their vulnerabilities to storm events, and the important role that they can play to reduce or avoid loss and dislocation (Environmental Solutions, 2005). Nassau remains particularly vulnerable because persons take storm and hurricane warnings less seriously and effect little preparations. Although Nassau is not the area being studied it is the centre of the economy, so if Nassau is badly affected by a storm, then the entire country will be affected. Implications for Vulnerability of Livelihoods The Bahamas Initial Communication to the UNFCCC in 2001 indicated four key vulnerable sectors most likely to be directly affected by the potential impacts of climate change: tourism, coral reef resources, water resources and agriculture; with indirect effects on human health, human settlement and infrastructure, the socio economic sector and the overall environment sector (BEST, 2001). Many of the activities within Abaco are tourism-centred or based and the community felt that without tourism, many of these activities would suffer tremendously directly and indirectly. The livelihood activities that take place in the Abacos were reported as: Fishing Farming Direct tourism (marinas, small resorts) Craft Financial and other services Construction Other less widespread activities include mining and sustainable forestry. As described above, there are a number of fishing communities that have already been impacted by hurricanes and are also prone to flooding. Further degradation of the coral reefs through pollution such as that reported at Marsh Harbour or from indiscriminate use of agro-chemicals will further threaten fishers in Abaco and the surrounding Cays. It has been reported that citrus crops have been decimated by disease in the past and that the aquifer is threatened by saline intrusion through sea level rise. It is unknown whether the disease that impacted crops is climate related, but certainly the spread of disease and invasive species is predicted to worsen 93 under a climate change scenario. Similarly, groundwater supplies can be expected to become more scarce. Both of these impacts threaten farmers’ livelihoods. Tourism Tourism has contracted sharply in the last 2-3 years as a result of the global economic recession and more specifically the recession in the United States, the key source market for The Bahamas, which contributed 80% of arrivals in 2009(CTO, 2010).The slump in economic activity caused unemployment to spike from 8.7% in 2008 to 14.2% in 2009. As the recession deepened, job losses were experienced across a number of sectors, including hotel and restaurants, construction and wholesale and retail trade (ECLAC, 2010b). The combined grouping of hotels, restaurants, wholesale and retail commerce employed about 30% of the entire Bahamian labour force in 2007 (Bahamas Department of Statistics, 2008). Further information on the importance of tourism to The Bahamas as a whole can be found in Section 2.3. The Abacos are grouped under The Family Islands in the Caribbean Tourism Organisation’s statistics and these show that there has been a decrease in stopover tourists between 2007 and 2009 of approximately 19% and an increase in cruise ship arrivals of 14% over the same period. This is worse than the national average in the case of stop over visitors and better than the national average for cruise ship arrivals (CTO, 2010). Although this decline in arrivals and therefore expenditure has not been caused by changes in climate, it demonstrates the vulnerability of the country to external economic forces and suggests the heavy impact that a decline in tourism can have. There is a strong second-home owner community in Abaco who are deeply involved in the island’s affairs and development and who are very important to the economy. Second home owners are persons who have homes elsewhere (mainly countries such as the U.S., Canada and the U.K.) and then build second homes in The Bahamas specifically for retirement or winter vacations. One of the likely impacts of climate change will be a change in the seasonal and diurnal temperature patterns, with greater frequency of hot extremes. This may affect tourist arrivals generally and the second-home owners especially since they seek more comfortable conditions during the winter season, for they have already invested. In addition to supporting fishermen and farmers, healthy natural resources also support livelihoods in the tourism sector. In addition to the sports fishing and marine recreational activities such as diving and snorkelling, there are also power boat races and many of the Cays; and the mainland, have a number of homecoming festivals and events that are major tourism attractions. As with most Caribbean islands a large proportion of the tourism infrastructure is located on the coast and is therefore vulnerable to sea level rise, coastal inundation and storm surge. The consecutive occurrence of Hurricanes Frances and Jeanne in 2004 resulted in the closure of one major hotel in Grand Bahama and the loss of approximately 1,200 jobs, with significant economic impact on the island as a result (Environmental Solutions, 2005). 4.8.3. Implications for Gender-Specific Vulnerability in the Abaco Islands Socio-economic factors Poorer residents and depleted environments are hit the hardest by disasters because of the debilitating combination of existing vulnerabilities, risks and the degree of impact by events or hazards; whereas stronger communities and balanced ecosystems tend to be more resilient (Buvinic, Vega, Bertrand, Urban, Grynspan, & Truitt, 1999). The 2004 Labour Force survey showed that 65 % of households were headed by males and 35 % by females and the average household income of households headed by females remained considerably lower than those headed by males (B $34,070 compared to B $42,675) (Bahamas Department 94 of Statistics, 2004). Our research found that the nuclear family type generally predominates, but on the mainland there are many female heads-of-households. Labour force statistics for 2009 indicate that marginally more men were unemployed, but at the same time more men than women are actively participating in the work force (78.4 % compared to 69.1%).This apparent contradiction is explained by the larger number of women that comprise the discouraged workers, i.e. women who have been actively looking for work in the past and who have essentially given up or who have chosen to remain unemployed (Bahamas Department of Statistics, 2009). This position was somewhat re-enforced from the research in Abaco where it is perceived to be easier for men to find other sources of employment (especially in construction) than women, especially after disasters. However, in some cases women do find other sources of employment as well, and are generally engaged in more than one activity. The hotel and restaurant sector employs more women than men (19% of the female labour force compared to 12% of the male labour force) (Bahamas Department of Statistics, 2009). Therefore any impacts on the tourism sector will be hardest felt by women. As described in the section on Comprehensive Disaster Management, Section 5.7, the Ministry of Tourism and Aviation does have a specific responsibility in the event of a disaster. That is, they are responsible for coordinating activities to ensure that the tourism industry is equipped to effectively respond to and recover from any disaster impacting the nation (UNEP, 2008). Natural resources The Abaco fishing industry is male-dominated. Therefore if this industry is heavily impacted, there may be breakdowns of households headed by fishermen. Fishermen can and do usually engage in other sources of employment (e.g. construction) because fishing is seasonal. Similarly, since tourism in The Bahamas is heavily dependent on the health of natural resources available such as beaches, good weather, clear water and vibrant ecosystems, any impact on these resources will affect women who are more heavily employed in the sector. 95 5. ADAPTIVE CAPACITY PROFILE FOR THE BAHAMAS Adaptive capacity is the ability of a system to evolve in order to accommodate climate changes or to expand the range of vulnerability to which it can cope (Nicholls et al., 2007). Many small island states have low adaptive capacity and adaptation costs are high relative to GDP (Mimura et al., 2007). Overall the adaptive capacity of small island states is low due to the physical size of nations, limited access to capital and technology, shortage of human resource skills and limited access to resources for construction (IPCC, 2001). Low adaptive capacity, amongst other things, enhances vulnerability and reduces resilience to climate change (Mimura et al., 2007). While even a high adaptive capacity may not translate into effective adaptation if there is no commitment to sustained action (Luers and Moser, 2006). In addition, Mimura et al. (2007) suggest that very little work has been done on adaptive capacity of small island states; therefore this project aims to improve data and knowledge on both vulnerability and adaptive capacity in the Caribbean small island states to improve each country’s capacity to respond to climate change. Information on the following factors was gathered, where possible to reflect adaptive capacity for each socio-economic sector: Resource availability (financial, human, knowledge, technical) Institutional and governance networks and competence Political leadership and commitment Social capital and equity Information technologies and communication systems Health of environment The information is arranged by sector, under the headings Policy, Management and Technology in order to facilitate comparisons across sectors and help decision makers identify areas for potential collaboration and synergy. Some of these synergies have been included in practical Recommendations and Strategies for Action which is the following section of this report. 96 5.1. Water Quality and Availability 5.1.1. Policy The Water Corporation and Sewerage Act (1976) “is the public utility charged with managing the freshwater resources and maintaining potable water supply, quantity, quality and distribution. The Corporation fulfils its mandate by operating and maintaining water supply systems throughout The Bahamas Islands and providing oversight over private companies authorised by the WSC to provide potable water” (BEST, 2006c). However, the Act needs to be revised particularly “in the light of severe environmental, health, and financial issues facing the country the water and sanitation sector” (Hartnell, 2009) and it is in fact identified as a point of focus in the National Climate Change Policy of The Bahamas (NCCC-BEST, 2005). There are plans for an IDB financed Water and Sanitation Strategic Sector Plan. The Forestry Act and the Agricultural Land Leases Water Supply Provision(s) are also relevant to protecting the quality of water and water usage. In terms of the effects of drought which have been linked to deterioration of land in The Bahamas, there is no specific legislation which addresses issues of land management and development. However, various aspects that cater to the protection of the land resources of The Bahamas can be found in at least a dozen Bahamian legislation, which include the following (BEST, 2006c): The Water and Sewerage Corporation Act (1976) The Land Surveyors Act (1975) Building Regulations Act (1971) Conservation and Protection of the Physical Landscape of The Bahamas Act (1997) The Bahamas National Trust Act (1959) As stated in The Bahamas Initial National Communication to the UNFCCC there are few policy options that can be employed to adapt to climate change. Agencies that have a role to play in land and water resource issues include The Bahamas Environment, Science and Technology Commission, Water and Sewerage Corporation, Ministry of Works and Tourism, The Bahamas National Geographic Information Systems (BNGIS) Centre, Department of Agriculture, Department of Environmental Health Services, Department of Lands and Surveys and the Department of Physical Planning among others. Another noteworthy institution is the Ministry of Public Works and Utilities (MOPWU) which “issues water supply franchises to developers in areas where the supply of water is impractical for GOB or its agencies to undertake… The WSC, with its Water Resources Management Unit (WRMU) has responsibility for optimal development of the country’s water resources and the control of water quality. It shares (with DEHS Department of Environmental Health Services) the responsibility for monitoring water quality” (BEST, 2005). In the Climate Change Policy 2005, policy directives that relate to water resources include (NCCC-BEST, 2005; BEST, 2006): 1. “Develop a long-term National Water Management Plan, which incorporates Climate Change concerns including “worse case “scenarios of sea level rise, saltwater intrusion, and storm surges leading to inundation of well fields, and the need to regulate water supplies to the different sectors (domestic, tourism, agriculture and industry)” 2. “Assess and address needs for water storage and distribution infrastructure to ensure water availability during drought periods, and for more efficient use of freshwater” 3. “Prepare emergency plans for water distribution during periods of drought” 97 4. “Given that reverse osmosis will be necessary to augment groundwater supplies, ensure that the brine produced is disposed of efficiently” 5. “Enact legislation to ensure that golf courses line their ponds and use grasses and other plants tolerant to the use of brackish water for irrigation purposes, to the extent possible, and to provide for the utilisation of storm water runoff for groundwater recharge” 6. “Encourage the use of waste heat from The Bahamas Electricity Corporation, and other appropriate entities, for the desalination of seawater” 7. “Encourage the use of water saving devices that are water efficient or are low flow to reduce wastage” 8. “Ensure synergies with the Caribbean Basin Hydrogeological Cycle Observing System (CARIBHYCOS)” Another priority of the National Climate Change Committee is the “conservation and sustainable use of groundwater resources” (BEST, 2006c). The GOB initiated a National Capacity Needs Self Assessment (NCSA) and climate change was one of four thematic areas focussed on to determine issues that were deemed to be impacting on the environment of the country and impairing the country’s thrust to achieve its goals in a number international environmental treaties. The island is service-based, with tourism (60% of GDP) and the banking and finance (15% of GDP) sectors accounting for the majority of the GDP (BEST, 2006c) which make the country very vulnerable economically. As such, The Bahamas relies heavily on tourism as its natural resources are limited (BEST, 2001) which makes the country very vulnerable. This has been the case in the last three years where the tourism industry has retracted as has been noted in The Bahamas IDB Country Strategy 2010 - 2014 report (Spencer et al., 2010). In the short to medium term The Bahamas may face an increase in demand for utilities which includes water resources (Spencer et al., 2010). The WSC already has significant financial debt as Hartnell (2009) describes “without government subsidies it would have suffered a $24.107 million net loss in 2007, the last year for which financial statements were available, had it not been for the receipt of $20 million-plus in taxpayer funds.” Additionally, between 2000 and 2004 the operating balances of the WSC as a non-financial corporation were negative and as high as B $-12.2 million in 2004 although in all of these years, such figures amounted to less than 0.1% of the country’s GDP (Lewis et al., 2005). A major reason that the current debt of the WSC is so high is due to the fact that while there has been an increase in the utilisation and the reliance on the very costly reverse osmosis process for potable water, tariffs have not increased since 1999 (Spencer et al., 2010). The roles stipulated for the WSC by the Water Corporation and Sewerage Act (1976), are also contradictory where the corporation is both a utilities provider and a water regulator (Spencer et al., 2010). There are therefore recommendations “for the transfer of regulatory responsibility from the Water & Sewerage Corporation to the newly-formed Utilities Regulation and Competition Authority” (Hartnell, 2009). 5.1.2. Management The main organisation responsible for co-coordinating climate change issues in The Bahamas is The Bahamas Environment, Science and Technology (BEST) Commission, and within it is a sub-committee called the National Climate Change Committee (NCCC). The NCCC and the BEST Commission have recently prepared a National Climate Change Policy; and within the document water resource management is 98 addressed. With regards to water monitoring it is identified that an updated assessment of all water resources from surface, ground water, brackish and freshwater, should be executed to form a basis for the development of a National Water Management Plan (NCCC-BEST, 2005). The Bahamas Water and Sewerage Corporation is responsible for the provision of water. The Bahamas Initial National Communication to the UNFCCC notes “there are many gaps in existing data and information, a lack of tools to assess the physical, social and economic impacts on the most vulnerable sectors of the economy” where Water Resources and Supply were identified among these most vulnerable sectors (BEST, 2001). The efficient and effective running of this organisation has been impaired due to inadequate provision of financial resources needed for “public awareness, education, training and development” in various sectors including the water sectors (BEST, 2001). A report by the Sustainable Economic Development Unit has stated that in The Bahamas “there are remarkably few methods in place to encourage its efficient use or the use of other water supply such as rainwater by the hotel and tourism sector” (SEDU, 2002). Research by Edwards (2004) found that hotels in The Bahamas generally lack in sustainable water management practices, with only 42% having a towel and linen reuse programme in place, 37% utilising gray water, 32% encouraging guests to conserve water and 26% utilising pipes with flow restrictors. Fifty seven percent of large hotels have implemented water saving measures or initiated staff training in water conservation, compared to only 46% of small hotels. Where small hotels have implemented water conservation practices, the report found that they were generally less adept at water efficiency. Increasing use of reverse osmosis has been taking place on the Family Islands, however because of the very small size and highly dispersed nature of these communities the process is not cost effective (Cox et al., 2005). In terms of the private business sector, according to a hotel survey by the Sustainable Economic Development Unit of the University of the West Indies, 55% of hotels obtain their water supplies from the government. However, some hotels utilise reverse osmosis, but due to the expense and the land space required for operating reverse osmosis plants, installation is not recommended in some cases such as for smaller hotels (SEDU, 2002). Hotel officials have identified training of staff in water conservation practices as a means to increase water use efficiency. Additionally, the survey states that “a large number of hotels in The Bahamas monitor water usage (80%) and 70% have implemented water-saving measures”. There is also no regulation of private (illegal) wells which means the users of these wells are not billed for their water consumption and it is uncertain how many people are abstracting from the same aquifer. This also means that the level of abstraction and the effect such abstraction is having on aquifers is unknown (Strachan, 2010). An important issue in the management of water resources is that there is a lack of awareness by Bahamians that they live in a water scarce country (Strachan, 2010). This may be partly linked to current tariffs that do not reflect the true cost of water, especially in New Providence. While some initiatives such as the irrigation of golf courses with waste water is practiced (Buchan, 2000; Cox et al., 2005), Bahamians generally do not practice water conservation in proportion to the water resources available to them. The issue of public awareness was highlighted in The Bahamas Initial Communication to the UNFCC (BEST, 2001). 5.1.3. Technology Hydrological data are critical for making informed decisions regarding the development of water resources. These data will become even more critical for observing changes in water supply and decision making regarding the provision of water resources in future as a result of climate change related events such as 99 droughts and tropical storms and hurricanes. Technology is one the limitations to improving water efficiency in The Bahamas and because there is also limited scope for researching and developing local water technology it has to be imported, which is invariably at a cost (BEST, 2001). Technology importation is high in the water sector because of the great need to meet the water demands that exist on the island. Foreign reserves will increasingly be required to acquire such technology and fossil fuel required of their operations. In addition, there is a need for training of personnel in the areas of hydrology and natural resource economics (BEST, 2001). ICFC (2002) have found that there is a “lack of ready availability of national information contained in the various Ministries that could be of immediate value for coastal zone planning and local decision making, e.g., flood prone areas”. Additionally, a climate change database and information system is required to form a resource platform from which more informed policy decisions can be made in the water sector. The Bahamas National Geographic Information System Centre (BNGISC) as have an important role in the realisation of such a database (BEST, 2001) through the use of GIS as well as the utilisation of remotely sensed imagery and Digital Elevation Models (DEMs) (ICFC, 2002) An example of an initiative that has sought to address the issue of information needed to making water resource management decisions and which also has a climate change element is a study undertaken by UNESCO. The project is entitled Understanding Climate Change and Linked Human Impacts on Groundwater Resources of the Caribbean: A Collaborative GRAPHIC Case Study in The Bahamas where GRAPHIC stand for "Groundwater Resources Assessment under the Pressures of Humanity and Climate Change” and was launched in Nassau in 2008. The study’s objective was to determine the impacts of climate change and humans on water resources in the Caribbean region and to form a scientific knowledge base that could be used by decision makers in the water resource sector of The Bahamas through measuring and compiling baseline data of groundwater resources. The site selected for the study was North Andros aquifer and began in mid-2010 (UNESCO, 2008). The Climate Change Policy 2005 aims to “ensure synergies with the Caribbean Basin Hydrogeological Cycle Observing System (CARIB-HYCOS)” (NCCC-BEST, 2005). 100 5.2. Energy Supply and Distribution 5.2.1. Policy As evident from current energy documents in many countries both in the Caribbean and outside, tourism is not central in the consideration of wider strategies to reduce energy use (Brewster 2005, Haraksingh 2001). The National Policy for the Adaptation to Climate Change (NCCC-BEST, 2005) calls for the development of the National Energy Policy as described in Section 4.2.2, but also makes specific reference to solar water heating in the tourist sector through appropriate tax incentives. This document has shown for Bahamas, that tourism’s share in energy use and emissions is considerable, and likely to grow in the future, leading to growing vulnerabilities in a business-as-usual scenario. At the same time, the sector holds great potential for energy reductions. The sector should thus be one of the focus points of policy considerations to decarbonise island economies. It is vital for governments to engage in tourism climate policy, because tourism is largely a private sector activity with close relationships with the public sector at supranational, national, regional and local government levels, and through politics, there is thus an outreach to all tourism actors. Furthermore, governments are involved in creating infrastructure such as airports, roads or railways, and they also stimulate tourism development, as exemplified by marketing campaigns. The choices and preferences of governments thus create the preconditions for tourism development and low-carbon economies. Finally, there is growing consensus that climate policy has a key role to play in the transformation of tourism towards sustainability, not least because technological innovation and behavioural change will demand strong regulatory environments. As pointed out by OECD (2010b), emissions of greenhouse gases essentially represent a market failure. The absence of a price on pollution encourages pollution, and creates a market situation where there is little incentive to innovate. While governments have a wide range of environmental policy tools at their disposal to address this problem, including regulatory instruments, market-based instruments, agreements, subsidies, or information campaigns, the fairest and most efficient way of reducing emissions is to considered to increase fuel prices, i.e. to introduce a tax on fuel or emissions (e.g. Sterner 2007, Mayor and Tol 2007, 2008, 2009, 2010a,b; see also OECD 2009, 2010b; WEF 2009; PricewaterhouseCoopers 2010). Carbon taxes may be feasible for accommodation, car transport and other situations where tourism activities cause environmental problems. Taxation is generally more acceptable if taxes are earmarked for a specific use, which in this case could for instance include incentives for the greening of tourism businesses. Tax burdens would then be cost-neutral for tourism, but help to speed up the greening of the sector. If communicated properly, businesses as well as tourists will accept such instruments, and the economic effect can be considerable. The Maldives charge, for instance, USS10 per bed night spent in hotels, resorts, guesthouses and yachts, which accounts for 60% of government revenue (McAller et al. 2005). Money collected in various ways could be re-invested in sustainable energy development. Haraksingh (2001), for instance, outlines that there is a huge potential to use solar energy. Both economical and noneconomical technical solutions to reduce the energy-dependency of islands in the Caribbean could thus be implemented based on regulation, market-based approaches and incentives, as well as through financing derived from voluntary and regulatory carbon markets. Policy intervention is however needed to initiate these processes. Overall, Haraksingh (2001: 654; see also Headley 1998) suggests that: 101 The Caribbean region is a virtual powerhouse of solar and other renewable sources of energy waiting to be exploited. It has the advantage of not having winters when hot water demands can increase from summer by approximately 70% in cold climates. Solar water heaters for the tourism industry and domestic and commercial usage have perhaps the greatest potential. There is a general commitment to the development of RE, but matters have not gone very far beyond this. The movement towards greater implementation of RE technologies is gaining strength, but there is a large gap between policy goals and actual achievement. Clearly, much work still needs to be done. Government fiscal incentives, greater infrastructure for policy development as well as joint venture partnerships are needed in the Caribbean region for a smooth transition. Lorde et al. (2010) suggest that Government policy should encourage efficiency and innovation in electricity production and distribution, noting that in particular the residential sector should be addressed in reducing electricity use. 5.2.2. Management Any action on reducing energy use and emissions of greenhouse gases has to begin with a review of emission intensities, to enable action where this will lead to significant reductions. From a systems perspective, hundreds of minor actions will not yield anywhere near as much as one change in the major energy consuming sub-sectors. Aviation is thus, as outlined earlier, a key sector to focus on, followed by - in smaller to medium-sized islands - hotels, as these are comparably energy-intense, while car-travel is not as relevant. Cruise ships will often be the third most relevant energy sub-sector. This is however dependent on whether fuels are bunkered in the respective island or not. Tourism management is primarily concerned with revenue management, as the ultimate goal of any economic sector is to generate profits and jobs. A general critique of tourism management in this regard must be that it is too occupied with revenue, rather than profits as well as multiplier effects in the economy. This is an important distinction because profits have been declining in many tourism sub-sectors, such as aviation, where revenues have been increasing through continuously growing tourist volumes, while profits have stagnated. This is equally relevant for average length of stay, which is falling worldwide: to maintain bed-night numbers, destinations have consequently had to permanently increase tourist numbers. Both trends need to be reversed. In an attempt to look at both profits and emissions of greenhouse gases, a number of concepts have been developed. One of the most important overall objectives can be defined as to reduce the average energy use/emissions per tourist. In the case of Bahamas, average emissions per tourist are already comparably low, i.e. corresponding to emissions of 600 kg CO2 per tourist for air travel (Table 4.2.4). Table 5.2.1 illustrates the situation for a number of islands in terms of weighted average emissions per tourist (air travel only), as well as emissions per tourist for the main market. The table can serve as the first and most relevant benchmark, i.e. emissions caused by one tourist arrival. 102 Table 5.2.1: Average weighted emissions per tourist by country and main market, 2004 Country Av weighted International Total emissions Emissions per tourist, emissions per tourist, tourist arrivals air travel (1,000 main market (return flight; air travel (return (2005) tonne CO2) kg CO2) and percentage * * flight; kg CO2) share of total arrivals Anguilla 750 62 084 47 672 (USA; 67%) Bonaire 1302 62 550 81 803 (USA; 41%) ** Comoros 1754 17 603 31 1929 (France; 54%) Cuba 1344 2 319 334 3 117 556 (Canada; 26%) Jamaica 635 1 478 663 939 635 (USA; 72%) Madagascar 1829 277 422 507 2 159 (France; 52%) Saint Lucia 1076 317 939 342 811 (USA; 35%) Samoa 658 101 807 67 824 (New Zealand; 36%) Seychelles 1873 128 654 241 1935 (France; 21%) Sri Lanka 1327 549 309 729 606 (India; 21%) Notes:* Calculation of emissions is based on the main national markets only, using a main airport to main airport approach (in the USA: New York; Canada: Toronto; Australia: Brisbane); **Figures for 2004. Source (tourist arrivals): UNWTO Compendium of Tourism Statistics, Madrid: UNWTO, 2007; and UNWTO, Yearbook of Tourism Statistics Madrid: UNWTO, 2007. (Source: Gössling et al., 2008) A strategic approach to reduce per tourist emissions would now focus on further analysis of markets. To this end, an indicator is the arrival-to-emission ratio, based on a comparison of the percentage of arrivals from one market to the emissions caused by this market (Table 5.2.2). For instance, tourists from the USA account for 67% of arrivals in Anguilla, but cause only 55% of overall emissions. The resultant ratio is 0.82 (55% divided by 67%). The lower the ratio, the better this market is for the destination, with ratios of <1 indicating that the market is causing lower emissions per tourist than the average tourist (and vice versa). Arrivals from source markets with a ratio of <1 should thus be increased in comparison with the overall composition of the market in order to decrease emissions, while arrivals from markets with a ratio of >1 should ideally decline. In the case of Anguilla, the replacement of a tourist with a ratio of >1 in favour of one tourist from the USA (ratio: 0.8) would thus, from a GHG emissions point of view, be beneficial. However, where arrivals from one market dominate, it may be relevant to discuss whether the destination becomes more vulnerable by increasing its dependence on this market. Table 5.2.2: Arrivals to emissions ratios Primary market Emissions ratio Secondary market Emissions ratio Third market Emissions ratio Fourth market Emissions ratio Anguilla Bonaire Jamaica USA 0.8 UK 2.5 - USA 0.5 Netherlands 1.6 - USA 0.8 - - - - - Saint Lucia USA 0.9 UK 2.0 Barbados 0.1 Canada 1.0 (Source: Gössling et al. 2008) To integrate emissions and revenue, energy intensities need to be linked to profits. An indicator in this regard can be eco-efficiencies, i.e. the amount of emissions caused by each visitor to generate one unit of revenue. This kind of analysis is generally not as yet possible for Caribbean islands due to the lack of data on tourist expenditure by country and tourist type (e.g. families, singles, wealthy-healthy-older-people, visiting friends and relatives, etc.), but Figure 5.2.1 illustrates this for the case of Amsterdam/Netherlands 103 (Gössling et al. 2005). By assigning eco-efficiencies, it is possible to identify the markets that generate a high yield for the destination, while only causing marginal emissions. For instance, in the case of Amsterdam, a German tourist causes emissions of 0.16 kg CO2 per € of revenue, while a visitor from Australia would emit 3.18 kg CO2 to create the same revenue. Figure 5.2.1: Eco-efficiencies of different source markets, Amsterdam (Source: Gössling et al. 2005) These indicators can serve as a basis for restructuring markets, possibly the most important single measure to reduce the energy dependence of the tourism system. However, further analysis is required to distinguish revenue/profit ratios, leakage factors/multipliers (to identify the tourist most beneficial to the regional/national economy) and to integrate market changes into an elasticity analysis (to focus on stable, price-inelastic markets) (see also Becken 2008, Schiff and Becken 2010). No study that integrates these factors has been carried out so far, but further developing such strategic tools for revenue and energy management would appear useful for the Caribbean. In Barbados, a survey carried out in February 2011 to better understand tourist perspectives on spending, length of stay, climate change and mitigation, yielded some interested results in this regard, with 71% of respondents stating that they would have liked to stay longer, and 61% stating that they had spend less money than planned. It is likely that similar results could be found throughout the region, and further research needs to be carried out to identify how this potential can be realised: longer stays increase the share of money retained in the national economy, primarily in accommodation, while higher expenditure also contributes to increasing national tourism revenue, notably with a lower leakage factor, as spending for air travel will usually entail smaller profit shares and higher leakage. The Barbados study also revealed that 73% of respondents are willing to drive less by car, 70% stated to be willing to use smaller cars, and 81% are positive about electric cars. With regard to A/C use, one of the major factors in energy use in hotels, tourists also support resource savings: 71% stated to be 104 willing to use fans rather than air conditioning, 90% agree that switching off air conditioning when leaving the room is acceptable, and 65% agree on using air conditioning at a 1°C higher temperature than the ambient temperature actually experienced during the stay. Further options to reduce energy use and emissions exist for businesses focusing on staff training. For instance, Hilton Worldwide saved energy and water costs in the order of US$16 million in the period 20052008, primarily through behavioural change of employees as a result of a training in resource-efficiency. These measures have to be discussed on the business level and are mostly relevant to accommodation and activities managers. As about 15% of a typical Caribbean hotel’s operating cost may be attributable to energy usage (Pentelow and Scott, 2011), management-related reductions in energy use of 20% would correspond to savings of 3% on the overall economic baseline. This should represent a significant incentive to engage in energy management. For further details on energy management see Gössling (2010). 5.2.3. Technology The potential of saving energy through technological innovation has been documented for a growing number of case studies. For instance, luxury resort chain Evason Phuket & Six Senses Spa, Thailand, reports payback times of between 6 months and ten years for measures saving hundreds of thousands of Euros per year. Examples of the economics of resource-savings from the Caribbean include five case studies in Jamaica (Meade and Pringle 2001). Properties investigated within the framework of a re-structuring programme include the Sandals Negril (215-rooms), which saved approximately 45,000 m3 of water (compared to pre-Environmental Management System standards), 444 MWh of electricity, and 100,000 liters of diesel. The total investment for the program was $68,000. As Meade and Pringle (2001) outline, with estimated savings of $261,000, the program yielded an annual return on investment (ROI) of 190% over the first 2 years. The payback period for the initial investment was approximately 10 months. A second case, the Couples Ocho Rios (172-rooms) saved approximately 31,000 m3 of water and 174 MWh of electricity. The total investment for the program was $50,000: approximately $20,000 in equipment and $30,000 in consulting fees. Based on the estimated savings of $134,000, the program yielded an annual ROI of 200% over the first 16 months. This represents a payback period of just 6 months. The Swept Away (134rooms) saved approximately 95,000 m3 of water, 436 MWh of electricity, 172,000 liters of liquefied petroleum gas and 325,000 liters of diesel. Based on available data, the total investment for the program was approximately $44,000. Based on the estimated savings of $294,000, the program yielded an ROI of 675% over the first 19 months. The payback period for the initial investment was approximately 4 months. The fourth establishment, the Negril Cabins (80-rooms) saved approximately 11,400 m3 of water and 145 MWh of electricity. In addition, the hotel achieved savings of over $5,000 on laundry chemicals since August 1998 through its towel and linen reuse programs and efforts to reduce the use of laundry chemicals. Based on available data, the total investment in the program was $34,670, and the resulting savings over 2.75 years are estimated to be $46,000, producing an annual ROI of 48%. Finally, Sea Splash (15-rooms) saved approximately 7,600 m3 of water and 154 MWh of electricity. The cost of the project at this resort was $12,259, and the savings since July 1998 are estimated at $46,000, yielding an annual ROI of 151% over the first 2.5 years of the project. It is beyond the scope of this report to list all technical measures to reduce energy use, and readers are referred to Gössling (2010) for further guidance: case studies provided in this book indicate technology-based energy savings potentials of up to 90% for accommodation. Often, it is also economically feasible to replace conventional, fossil-fuel based energy systems with renewable ones, with payback times of 3-7 years (e.g. Dalton et al. 2009). Further evidence on the 105 economic suitability of technological innovation to generate renewable energy in Barbados is provided by Bishop et al. (2008). Bishop et al. (2008) propose a 10MW wind energy scheme based on micro wind turbines of both horizontal and vertical axis configurations, and at costs as low as BDS$0.19 per kWh. The scheme would also lead to savings of 6,000-23,000 t CO2 and avoided fuel costs of BDS$1.5–5.3 million. The authors highlight that small wind turbines can be competitive with conventional wind farms. As outlined, managers will usually be interested in any investment that has pay-back times as short as 5-7 years, while longer times are not favourable. While this would support investments into any technology with payback times of up to 7 years, it also opens up opportunities to use the Clean Development Mechanism (CDM) as an instrument to finance emission reductions. The CDM is one of the flexible instruments of the Kyoto Protocol with two objectives: to assist parties not included in Annex I in achieving sustainable development and in contributing to the ultimate objective of the convention of cost-efficient emission reductions; as well as to assist parties included in Annex I in achieving compliance with their quantified emission limitation and reduction commitments. The CDM is the most important framework for the supply of carbon credits from emission reduction projects, which are approved, validated and exchanged by the UNFCCC secretariat. CDM projects can be implemented in all non-Annex I countries, and are certified by operational entities (OE) designated by UN COP (IPCC 2007). The CDM thus generates credits, typically from electricity generation from biomass, renewable energy projects, or capture of CH4, often a problem in the context of waste management, which can be sold in the regulatory or the voluntary carbon markets. As such, it is a novel instrument to restructure islands towards low-carbon economies. Discussions are already ongoing in the Caribbean of how to use the CDM in restructuring the energy system (e.g. MEM 2009). It is worth noting, however, that emission reductions achieved through the CDM do not apply to national economies, rather than the purchaser’s economy. While the CDM is thus an instrument to achieve technological innovation, it is not an instrument to achieve carbon neutral status. Further funds can be derived through voluntary payments by tourists. For instance, Dalton et al. (2008b) found that 49% of Australian tourists were willing to pay extra for renewable energy systems, out of which 92% were willing to pay a premium corresponding to 1–5% above their usual costs. In another study, Gössling and Schumacher (2010) found that 38.5% of a sample of international tourists in the Seychelles expressed positive willingness to pay for carbon-neutrality of their accommodation, out of which 48% stated they would be willing to pay a premium of at least €5 per night. While these values are not representative, they nevertheless indicate that there is considerable potential to involve tourists emotionally and financially in strategies to implement renewable energy schemes. Such options should be further explored. 106 5.3. Agriculture and Food Security 5.3.1. Policy Policy directives for agriculture outlined in The Bahamas National Policy for Adaptation to Climate Change (2005) are guided by the predicted changes in rainfall patterns, loss of agricultural land and reduced agricultural productivity from salinity that give rise to uncertainties in crop production and possibly increased flooding. The policy states that to address the impacts of climate change on agriculture, the Government of The Bahamas and partner agencies will: 1. conduct studies to assess the risks posed by Climate Change to the productivity of agricultural crops and to food security; the expected impacts on the availability of water for agriculture; the expected impacts of Climate Change on pest- and disease-crop interactions; and the expected impacts of Climate Change on livestock production 2. develop a National Adaptation Strategy for Agriculture, both crops and livestock 3. incorporate the National Adaptation Strategy for Agriculture into the National Land Use Management Plan 4. adopt appropriate adaptation measures that do not jeopardise or contradict the development of long-term sustainable strategies for the agricultural sector 5. formulate and implement any other such strategies and measures which will help to enhance food security and sustainable food production. The UN Country Profile for The Bahamas (2002) observed that the Government’s strategy for the agricultural sector has been the stimulation of the production of short-term crops and livestock to increase farm incomes. Under this strategy, potatoes, onions and pigs have been targeted. Another objective for the Ministry of Agriculture has been to diversify production to include medium-term crops and livestock, such as bananas, papayas, pineapples and poultry, and encourage investment in long-term crops and livestock, such as coconuts, avocados, mangos, sheep and goats. During 2009 the consolidated Ministry of Agriculture and Marine Resources made progress in the intensification of activities in support of national agriculture and rural life in the Family Islands. Producers associations were formed which help farmers to capitalise on the Family Island Development Encouragement Act. This is an incentive policy that enables the associations to benefit from duty free and excise free tax on their imports of machinery, for land clearing and to reduce the cost of other input supplies by bulk purchases. The Bahamas Agriculture Land Policy, which is discussed in The Bahamas Agriculture Sectoral Plan (2009) is also designed to foster the long-term development and conservation of national agriculture resources and increase the number of people engaged in agribusiness. This policy shift and agricultural initiatives have resulted in an increase in the number of farmers and entrepreneurs in the Family Islands participating in revitalising the sector as a means of strengthening food security. The main goal of existing government policies that support agricultural development focuses on the improvement of primary and value added outputs. These strategies, coupled with the climate change policy for agriculture, should provide ample measure for climate change adaptation in The Bahamas. 5.3.2. Technology The Rapid Assessment (2010) explains that financial constraints, as well as limited knowledge, prevent many farmers in The Bahamas from making use of the modern technology available, which leads to low 107 production efficiency. Nevertheless, according to the IICA Annual Report (2010), the Ministry of Agriculture and Marine Resources has intensified its activities at the Gladstone Road Agricultural Centre (GRAC) in order to generate and validate technologies for producers. During 2009, the key activities undertaken to accelerate the delivery of improved technologies were the embryo transfer of small ruminants to upgrade local herds and the rapid multiplication of selected root crops. At the same time initiatives in on-farm demonstration of improved pasture management started. Additionally, in collaboration with The Food and Agricultural Organization (FAO) and the Caribbean Agricultural Research and Development Institute (CARDI), a clean seed rapid multiplication and distribution system for root crops was introduced to Family Islands in The Bahamas. Dr. Selima Hauber, a local scientist, has also initiated a rapid multiplication enterprise with the aid of tissue culture. This initiative has started to address urgent needs for large quantity of health planting material of vegetatively propagated crops such as banana, pineapple and plantains. Dr. Hauber founded Bahamian Botanicals, (established summer 2008), which is a micro-propagation laboratory offering liners to nurserymen and farmers on a wholesale basis. Her micro-propagation enterprise involves the rapid vegetative multiplication of plants in sterile containers on nutrient media, under controlled temperature and light. The amalgam of recent technological initiatives in the Bahamian agricultural sector is a positive step towards improving adaptive capacity for climate change impacts. However, there is a need to promote the adoption of appropriate technologies and agricultural practices at the farm level to ensure sustainable food production systems in the wake of changing climatic conditions. 5.3.3. Farmers’ Adaptation - Initiatives and Actions The Bahamas Agricultural and Industrial Corporation (BAIC) has embarked on a food processing and preservation drive as a means of reducing crop waste and increasing value to locally grown produce. This is a critical step towards food security and climate change adaptation especially in instances where farmers are unable to transport produce to their target market on time or when their products do not meet the required grade. Eisenhart (2010) observes that some commercial and semi-commercial farmers in The Bahamas have large hoop houses, a type of passive solar greenhouse that is effectively used to withstand the heavy rainfall throughout the growing season, and which also allows for continuous planting and harvesting. Traditional hoop houses are long, dome-shaped, and covered by a double-thick sheet of polycarbonate plastic. Lucayan Tropical, a hydroponic greenhouse producer operates the only glasshouse in The Bahamas. The glasshouse is built with galvanised steel and has an aluminum superstructure that was specially built to withstand hurricane damage. This farm uses green technology; the water used for agricultural production is captured through rain water off the roofs of their 7-acres of greenhouses and housed in large holding tanks. Lucayan Tropical Produce also practices an intensive Integrated Pest Management (IPM) program that uses beneficial insects to eliminate pests and stimulate healthy plant growth. Lucayan Tropical Produce (2010) farming yields 20-30 times more product per acre than conventional field production utilising less water per pound of produce because hydroponic farming techniques gives the farmer complete control over those aspects of farming that are normally left up to nature in traditional farming:- rainfall, number of hours of sunshine, pests and nutrients in the soil. In 2003, a community based aquaponics project was launched in Eleuthera to test whether this form of farming can become a viable means of alternative food production on the island. The Cape Eleuthera 108 Foundation was developed to improve the capacity of land degraded by intensive growing practices and to revive agriculture. This system, which uses freshwater from rainwater catchments to grow tilapia, salad greens and culinary herbs, is a suitable climate change adaptation measure for Bahamas because it does not depend on soil as a growth media, uses shade houses to protect the plants, and does not require expensive fertilisers. 109 5.4. Human Health 5.4.1. Policy PAHO (2007) has stated that one of the strong points of The Bahamas health care system is its “capacity for the development of laws and regulations”. With direct reference to climate change, the country devised its National Policy for Adaptation to Climate Change in 2005. One of its policy objectives has been to “avoid or minimise the negative impacts of Climate Change on human health” (NCCC-BEST, 2005). To adapt to the current vulnerabilities the policy has proposed the following: 1. Promote the necessary health related research and information gathering in order to strengthen the basis for sound decision making; 2. Ensure that appropriate short-, medium and long-term measures to address health related climate change issues are incorporated into national health plans; 3. Inform, sensitise and educate health personnel and the public-at-large about Climate Change related health matters; 4. Ensure that, to the extent possible, preventative measures and resources for treatments, such as vaccines and medications are available. These are broad policy objectives and require follow up plans to address the myriad vulnerabilities that exist in the health sector which could be impacted on by climate change. For instance, the reported imported cases of malaria in the Caribbean, 15% were from The Bahamas (Rawlins et al., 2008). To address this problem, the fourth action point is relevant. How these objectives can be accomplished is partially outlined in the National Health System Strategic Plan 2010 – 2020. The National Health System Strategic Plan 2010 – 2020 mentions climate change and the risk it places on the health sector. The plan notes the importance of inter-sectoral co-operation and collaboration in the protection of the Bahamian society against the risks of transmission of communicable diseases, the impacts of climate change and the effects of disasters (natural and man-made) (MOH, 2010). It emphasises the need to “strengthen national surveillance and response systems to detect, report and mitigate public health risks, including new and emerging diseases, and the effects of climate change” and “strengthen the capacity of national disaster management systems to effectively mitigate the impact of natural and other disasters” (MOH, 2010). The vulnerability of the well-being of Bahamians due to the impact that climate change may pose on the agriculture sector and the potential consequences on food security were presented in the vulnerability assessment. One focal area that should be considered with respect to this is the Agriculture Sectoral Plan for The Bahamas (FAO, 2009b). The plan establishes the link between health, nutrition and education and climate change. Through the Ministry of Agriculture and Marine Resources (MAMR), initiatives have been undertaken to increase food security in The Bahamas. One of the initiatives which was described in the plan was the inclusion of “garden based learning” in the curriculum at the primary school level. The scope of the plan was beyond the student populous, seeking to encourage the participation of a range of stakeholders which included “school administrators, teachers, parents, health workers, extension agents and community leaders” on food security, education nutrition and the best methods of implementation. The plan also mentioned the risks presented to workers, communities and consumers from contaminated foods (FAO, 2009b). 110 The Bahamas relies heavily on tourism as its natural resources are limited, with approximately 50% of its GDP being derived from this sector (BEST, 2001). The economy is also directly tied to that of the United States of America due to the fact that around 85% of tourists to The Bahamas are Americans. The health sector of The Bahamas is vulnerable to exogenous factors particularly related to world economics and politics that affect larger countries such as the US. While the country has allocated sufficiently to health care expenditure in the past (See Table 5.4.1 and Table 5.4.2) if the tourism flow to The Bahamas decreased this could impact on all sectors of the economy including the health sector. This can be gleaned from Table 5.4.1 which showed spending in 1996 was higher than in 2007. Table 5.4.1: Total expenditure on Health as a % of GDP between 1995 and 2005 Year ‘95 ‘96 ‘97 ‘98 ‘99 ‘00 ‘01 ‘02 ‘03 ‘04 ‘05 ‘06 ‘07 ‘08 ‘09 % of GDP 6.8 6.9 6.5 6.3 6.1 5.9 5.9 5.9 6.2 6.5 6.3 6.6 6.6 7.2 7.2 (Source: Taken from WHO, 2011) Table 5.4.2: Summary of Capital Development Expenditure in the Ministry of Health and Public Hospitals Authority 2007 – 2011 Expenditure (Provisional) 2007/2008 ($) Expenditure (Provisional) 2008/2009 ($) Approved Estimates 2009/2010 ($) Estimates 2010/2011 ($) Ministry of Health 3,504,530 1,732,869 2,010,000 1,230,000 Public Hospitals Authority 6,182,739 500,000 3,000,000 3,586,775 Ministry/Department (Source: Ministry of Finance, 2011) The Bahamas has incurred increased debt due to the current economic conditions and this is reflected in expenditure from 2007/2008 compared to the estimates for 2010/2011 (Table 5.4.2). 5.4.2. Management The Health Services of The Bahamas consists of four main components; the Ministry of Health, the Department of Public Health, Public Hospitals Authority and the Private Sector. The Bahamas has 3 main public institutions; the Princess Margaret Hospital in Nassau New (405 beds), the Rand Memorial Hospital in Freeport Grand Bahama (86 beds) and the Sandilands Rehabilitation Centre –consisting of the Geriatric Hospital and the Sandilands Hospital for the mentally and physically challenged in Nassau New Providence. Dispersed throughout the chain of islands are 55 health centres and 59 satellite clinics and 286 privately owned health care facilities (COB, 2005). While The Bahamas has the prestige of having the third highest gross-domestic product (GDP) per capita in the Western Hemisphere, the income distribution is uneven with populations varying from subsistence to medium income to the very wealthy. In fact according to The Bahamas Living Conditions survey, 2001, the inequality in The Bahamas is among the highest if not the highest in the Caribbean region (Bahamas Department of Statistics, 2004). As a result of this overall high ranking, the country does not qualify for certain types of international funding for rural areas and poorer communities. As a consequent, considerable revenues must be expended to co-ordinate the affairs of the 700 odd islands that the country is made up of (Cox et al., 2005). The question of how to manage the significant number of immigrants in The Bahamas also exists. They compound the problem of population density where the actual settlements numbers are not always up-to111 date (Jones, 2005). Such statistics impair the ability of the health authorities to properly prepare and mitigate disease outbreaks and natural disasters and will make adaptation a greater challenge. Overall, there are roughly two types of immigrants entering the country, the very poor seeking any basic employment and a richer qualified middle-aged group coming to secure specialised positions in the job market. “Poorer migrants have a tendency to increase demand on the country’s social services, including government health facilities and schools. Wealthier migrants tend to utilise private facilities (health, education, etc.), even though their consumer habits place additional demands on such public resources as electric utilities and the telephone system” (PAHO, 2007). Also relevant is the stream of tourists that come to the island, and have the potential to produce a concentrated population pattern that could significantly tax the country’s health care delivery system (PAHO, 2007). To adapt to climate change this will have to be addressed in any management plan devised by The Bahamian government. One of the weak points of the Healthcare Sector has been “an absence of formal evaluation processes and the inefficient and ineffective utilisation of established institutional capacity and of management information systems” (PAHO, 2007). The Bahamas has sought to adapt to its solid waste management related problems by preparing a comprehensive action plan to address the weak areas of some waste management across the islands. “It involves a major expansion of the capacity of the sanitary landfill in New Providence through the establishment of a new solid waste disposal facility on 40.5 ha (100 acres) of land adjacent to the former landfill at Harrold Road. Sixteen sanitary landfills are also proposed for the following Family Islands: Abaco, Andros, Bimini, Cat Island, Eleuthera, Great Exuma, Grand Bahama, Inagua, Long Island and San Salvador. Some, such as those on Bimini and Long Island, have already been constructed” (Cox et al., 2005). Such initiatives are key adaptation measures that can contribute to overall increases in sanitary conditions that ultimately contributes to the well being of the society. In terms of natural disasters, the following account demonstrates the ability of The Bahamas Health Sector to cope. “Even before the hurricanes hit, the health disaster preparedness committees had been activated, since March. After the announcements of hurricanes warnings and watches, the Department of Public Health pre-positioned teams, the ministry of health and the three major hospitals activated command centres to coordinate the appropriate response, all operated in conjunction with NEMA. The Pan American Health Organization, through its local office, provided expert support. It all led to continuity of services during the hurricanes, the successful evacuation of patients from three islands and response to 17 ambulance calls. In spite of light shortages and water unreliable supply (namely in Grand Bahama) in the immediate aftermath, the public health sector weathered fairly well” (ECLAC, 2004). The Bahamas experienced significant damage to infrastructure, medical supplies and equipment during Hurricane Jeanne and Frances. Losses were also related to power outages, the stability of which is very important in the health care sector. For example part of the vaccine supplies were lost due to no electricity for several days (ECLAC, 2004). Table 5.4.3 shows some of the impacts on The Bahamas health sector after Hurricanes Jeanne and Frances in 2004. 112 Table 5.4.3: Summary of Cost of Impacts on The Bahamas Health Sector after Hurricanes Jeanne and Frances ($ ‘000) Total Damage to infrastructure and facilities Drugs and medical supplies (including vaccines lost) Special equipment for disposal of debris Health and mental assistance campaigns Environmental health programme Direct damage 2,903 Indirect impact 2,249 Total 5,153 External component* 3,607 1,651 1,239 687 687 565 565 931 128 1,318 989 (Source: Taken from IDB, 2004; Original source: ECLAC) *In this case it refers to required imports of equipment, medicines, chemicals, etc. 5.4.3. Summary PAHO (2007) has stated that one of the strong points of The Bahamas health care system is its “capacity for the development of laws and regulations”. In the health sector The Bahamas National Policy for Adaptation to Climate Change 2005 seeks to (i) Promote the necessary health related research and information gathering in order to strengthen the basis for sound decision making; (ii) Ensure that appropriate short-, medium and long-term measures to address health related Climate Change issues are incorporated into national health plans; (iii) Inform, sensitise and educate health personnel and the public-at-large about Climate Change related health matters and (iv) Ensure that to the extent possible that preventative measures and resources for treatments, such as vaccines and medications, are available.How these objectives can be accomplished are partially outlined in the National Health System Strategic Plan 2010 – 2020. The Agriculture Sectoral Plan for the Bahamas 2009 establishes the link between health, nutrition and education and climate change. Through the Ministry of Agriculture and Marine Resources (MAMR), initiatives have been undertaken to increase food security in The Bahamas, for example, the plan includes the initiation of “garden based learning” in the curriculum at the primary school level. The health sector of The Bahamas is vulnerable to exogenous factors particularly related to world economics and politics that affect larger countries such as the US. While the country has allocated sufficiently to health care expenditure in the past, if the tourism flow to The Bahamas decreased this could impact on all sectors of the economy including the health sector. The Bahamas has the prestige of having the third highest gross-domestic product (GDP) per capita in the Western Hemisphere. As a result of this overall high ranking, the country does not qualify for certain types of international funding for rural areas and poorer communities. Further, considerable revenues must be expended to co-ordinate the affairs of the 700 odd islands that the country is made up of (Cox et al., 2005). The question of how to manage the significant number of immigrants in The Bahamas also exists. They compound the problem of population density where actual settlement numbers are not always up-to-date (Jones, 2005). Also relevant is the stream of tourists that come to the island, and have the potential to produce a concentrated population pattern that could significantly tax the country’s health care delivery system (PAHO, 2007). One of the weak points of the Healthcare Sector has been “an absence of formal evaluation processes and the inefficient and ineffective utilization of established institutional capacity and 113 of management information systems” (PAHO, 2007). The Bahamas has sought to adapt to its solid waste management-related problems by preparing a comprehensive action plan to address the weak areas of some waste management across the islands. Such initiatives are key adaptation measures that can contribute to overall increases in sanitary conditions that will ultimately contribute to the well-being of the society. 114 5.5. Marine and Terrestrial Biodiversity and Fisheries Adaptation requires “adjustment in natural or human systems in response to actual or expected climatic stimuli or their effects, which moderates harm or exploits beneficial opportunities” (IPCC, 2007). The adaptive capacity of ecosystems then is the property of a system to adjust its characteristics or behaviour, in order to expand its coping range under existing climate variability, or future climate conditions (Brooks & Adger, 2004). Despite global action to reduce greenhouse gases, climate change impacts on biodiversity are unavoidable due to climate inertia. Natural ecosystems have long demonstrated the ability to adapt to changes in their physical environment. The rate at which climatic change occurs may exceed the rate at which ecosystems can adapt. Furthermore, natural environments that are already stressed by human activities have compromised ability to cope with and to adapt to climate change. This adaptive capacity assessment thus considers the country’s ability to conserve its biodiversity through managing sustainable resource use and the capacity to implement strategies to protect its natural environment. Many small island states generally have low adaptive capacity for some of the same reasons that they tend to be highly vulnerable to climate change, i.e. small physical size, limited access to capital and technology, shortage of human and financial resources (Mimura, et al., 2007). The ability of ecosystems to adjust to projected climatic changes depends not only on their inherent resilience but also on the ability of resource users to make required adjustments. By addressing shortcomings in the above indicators adaptive capacity can be built. Six principles for adaptation have been identified by Natural England, the UK government’s advisor on the natural environment. Many elements of these principles are neither new nor climate-change specific and so may be applied within the Caribbean context. The principles are as follows (not in order of priority): Table 5.5.1: Biodiversity: Six Principles for Climate Change Adaptation Conserve existing biodiversity Reduce sources of harm not linked to climate Develop ecologically resilient and varied landscapes Establish ecological networks through habitat protection, restoration and creation Make sound decisions based on analysis Integrate adaptation and mitigation measures into conservation management, planning and practice 5.5.1. Policy The Bahamas has kept ahead in the Wider Caribbean Region with regards to its environmental legislation (BEST, 2001). With regards to protecting its biodiversity the country has become party to a number of International Environmental Agreements (Table 5.5.2) and has taken steps towards improving its capacity to comply with these agreements. The Government of The Bahamas’ (GOB) commitment to the sustainable use of the nation’s natural resources is also evident in the incorporation of plans for the protection and enhancement of biodiversity into the national planning process. There are a number of plans and policies which guide the management of the country’s biodiversity. The Bahamas has developed a National Environmental Management Action Plan (NEMAP) to identify gaps in environmental management including those shortcomings in its commitments to international agreements, and a National Environmental Policy (draft) which aims to guide the use of resources sustainably so as to meet present and future needs. 115 Table 5.5.2: International/regional agreements to which The Bahamas is party Instrument Status Kyoto Protocol to the United Nations Framework Convention on Climate Change Agreement for the Implementation of the Provisions of the United Nations Convention on the Law of the Sea of 10 December 1982 relating to the Conservation and Management of Straddling Fish Stocks and Highly Migratory Fish Stocks United Nations Framework Convention on Climate Change Convention on Biological Diversity Cartagena Protocol on Biosafety Basel Convention on the Control of Transboundary Movements of Hazardous Wastes and Their Disposal 16 March, 1998 Concluded :4 December, 1995 Enforced: 11 December, 2001 Concluded 9 May, 1992 Enforced 21 March, 1994 Concluded 5 June, 1992 Enforced 29 December, 1993 Concluded 29 January 2000 Enforced 29 January 2000 Concluded 22 March, 1989 Enforced 5 May, 1992 United Nations Convention to Combat Desertification Concluded 14 October, 1994 Enforced: 26 December, 1996 Montreal Protocol on Substances that Deplete the Ozone Layer, as amended Concluded 16 September, 1987 Enforced 1 January, 1989 Vienna Protocol for the Protection of the Ozone Layer Concluded: 22 March 1985 Enforced 22 September, 2001 United Nations Convention on the Law of the Sea (LOS) Concluded 10 December, 1982 Enforced 16 November, 1994 Convention on International Trade in Endangered Species of Wild Flora and Fauna (CITES) Concluded : 3 March, 1973 Enforced 1 July, 1975 Convention on Wetlands of International Importance Especially as Waterfowl Habitat (Ramsar) Concluded: 2 February, 1971 Enforced 21 December, 1975 (Source: BEST, 2003) The GOB acknowledges that SLR, as a result of global warming, has potentially serious and far-reaching impacts for biodiversity throughout the islands of The Bahamas (BEST, 1999). To this end, The Bahamas has also developed a National Policy for the Adaptation to Climate Change (2005) that assesses the vulnerability and adaptive capacity of the Commonwealth nation to various climate change impacts. Commendably, the policies and recommended strategies of action take a sectoral approach and include such sectors as tourism, coastal and marine resources and fisheries, and terrestrial biodiversity. Very high priority is given by Government of The Bahamas to the expansion of tourism, especially in the Family Islands. If negative impacts on ecosystems are to be avoided then tourism plans must include a comprehensive EIA process and monitoring capability. Recognising this need the GOB has developed Environmental Impact Assessment Regulations which specifically consider the impacts that developments may have on coral reefs, mangroves, seagrass beds and beaches. However the Regulations do not consider climate change impacts in the EIA process, nor have they yet been enacted. Furthermore, at times Government approval is granted for development projects that cause ecological damage resulting in public outcry and criticism of the EIA process for its lack of transparency. 116 Table 5.5.3: Legislation on environmental protection in Bahamas Act Purpose Water and Sewerage Corporation Act (1976) Provides regulatory framework for the management of water resources in The Bahamas Environmental Health Act 1987 Provides the framework for environmental regulations that will ensure compliance for the Project. The Act authorises the DEHS to develop regulations that prevent and control air pollution, soil contamination, and preserve water quality Agriculture and Fisheries Act 1964 Agriculture and Fisheries Departments provides guidelines for the development of the area. The Minister of Agriculture and Fisheries may declare areas “protected.” Fisheries Resources (Jurisdiction and Conservation) Act 1977 Provides for conservation of fisheries resources of The Bahamas. Establishes exclusive fisheries zones and regulates harvesting of resources. The Act authorises protected areas within exclusive fisheries zones, including land adjacent to it. Permission to fish within a zone is required; permission may include conditions necessary to conserve the resource Wild Animals (Protection) Act 1968. Prohibits the taking, capturing or hunting of any wild animal without a permit Wild Birds Protection Act 1952 Prohibits the taking, capturing or hunting of any wild bird without a permit. Protect birds and eggs during closed season. Plants Protection Act 1916 Relates to plant disease and controls importation of plants to prevent outbreaks of exotic disease and establishment of unwanted species. Protects physical landscape from environmental degradation, flooding and removal of hills; regulates filling of wetlands, drainage basins or ponds; prohibits digging or removing sand from beaches and sand dunes; prevents harvesting or removing protected trees. In order to perform activities that may affect the physical landscape of The Bahamas, permits must be obtained for these activities. The Department of Physical Planning issues the permits and enforces the regulations (“Conservation and Protection of the Physical Landscape of The Bahamas Regulations, 1997). Directs The Bahamas National Trust to promote permanent preservation of lands, buildings, underwater areas of beauty, and areas of natural interest. The Act also allows the Trust to identify sites for protection, and to administer areas declared protected. Conservation and Protection of the Physical Landscape of The Bahamas Act 1997 The Bahamas National Trust Act 1959 5.5.2. Management A nation’s adaptive capacity is greater if the roles and responsibilities for implementation of adaptation strategies are well delineated by central governments and are clearly understood at national, regional, and local levels (Burton, 1996). Responsibilities for environmental management in The Bahamas come under the authority of various government ministries, agencies and NGOs. The Bahamas Environment, Science and Technology (BEST) Commission, has been the lead environmental agency since 1995. Although the Commission has no regulatory powers, it is responsible for developing management policies and ensuring that international conventions are implemented. Whilst division of responsibilities among various agencies may allow for institutions to attend to those issues within their areas of expertise, the combined administration and monitoring of environmental resources also gives rise to duplication and fragmentation of efforts. This is a particularly difficult challenge for the archipelago of over 700 islands where cost and reliability of inter-island transportation constrains implementation and enforcement of regulations. The various environmental management agencies share similar concerns and challenges. Lack of technical, human and financial resources in Fisheries and Forestry Departments constrain their ability to gather adequate data upon which decisions may and should be based. These same issues present a challenge with regards to enforcement of regulations particularly in the marine and coastal areas due to the wide expanse and open access nature of Bahamian waters. In its Third National Report to the CDB, the BEST Commission 117 noted a lack of both technical and support personnel as the overriding obstacle to full implementation of the Convention. It would appear that because the natural environment is such a major part of The Bahamas’ tourism product most Bahamians are generally aware of the need to protect these resources. Efforts to increase environmental awareness and education in The Bahamas have been undertaken by various governmental as well as non-governmental organisations including The Bahamas Reef Environment Education Foundation (BREEF), Friends of the Environment and The Nature Conservancy (TNC). An Eco-tourism Unit and a Sustainable Tourism Unit have been created within the Ministry of Tourism for the purpose of increasing environmental awareness within the that sector. While there is still room for improvement with regards to the engagement of stakeholders in environmental management, The Bahamas has made and continues to make progress in public participation on environmental issues. Starting in 2003 the GOB undertook a National Capacity Needs SelfAssessment (NCSA) to identify the country’s most critical needs for implementing MEAs, assess its capacity to implement these agreements and to develop a National Environmental Policy and a National Environmental Management and Action Plan. For the purpose of that survey the BEST Commission identified all Bahamians as stakeholders and thus consulted a wide range of the public through meetings and discussions. 5.5.3. Protected Areas Protected areas are globally recognised as one of the cornerstones of conservation because they not only protect key habitats and species but can also be a tool for sustainable development since they preserve those natural resources that are vital to the socio-economic well-being of people (Dudley, 2008). The Bahamas National Trust, a conservation NGO, views National Parks as one of the greatest legacies to be left to future generations. The Trust has thus developed a system of National Parks encompassing over 700, 000 acres of marine and terrestrial habitats that includes no-take zones. The parks protect a variety of habitats for birds, sea turtles and wetlands. The Bahamas were the first in the Caribbean to establish a notake zone and although the parks vary in level of regulation the country has enjoyed a comparatively good measure of success with its MPAs. In 2003, The Bahamas National Parks were acknowledged by the World Parks congress for the tangible benefits that some of the MPAs have brought to fisheries and tourism. Under the Caribbean Challenge, The Bahamas has committed to conserve and manage 20% of its marine environment by the year 2020 as no-take zones and to establish a network of marine protected areas (Figure 5.5.1). Towards this goal, in 2009, The Bahamas government agreed to declare yet another 6 marine reserves at least one of which will protect a newly discovered shark nursery. This brings the total area of MPAs to 300, 000 acres. 118 Figure 5.5.1: Map showing existing Marine Parks and Proposed Marine Reserve Areas (Source: Department of Marine Resources, 2007) 5.5.4. Technology A high degree of access to technology at various levels (i.e., from local to national) and in all sectors may potentially play a significant role in biodiversity adaptation to climate change (Burton, 1996). Especially with regards to information communication technology (ICT) the archipelago’s infrastructure provides a good platform for biodiversity education and information sharing. The Bahamas National Geographic Information Systems Centre (BNGIS) is the technical focal point for GIS in The Bahamas. The Centre, which operates within the Ministry of Environment, has grown out of a series of GIS projects between 1990 and 2005 and has made progress to implement spatial data infrastructure library and a spatial applications portal for harnessing data for emergency and land use planning and analysis. Remote sensing, satellite and radar imagery are being incorporated into the BNGIS applications and are recognised by the Government as essential tools for strategic planning to address potential threats to the marine and coastal environment which has implications to tourism and the country’s economy. In an effort to improve transparency and 119 encourage information sharing and public awareness BNGIS is developing their website (http://www.bahamas.gov.bs/bngisc) to allow the display of published maps from various government agencies; however, no maps are currently available. With such a significant portion of its territory being marine and coastal, The Bahamas has wisely given much attention to preserving marine biodiversity. Some of its ongoing conservation strategies are described below: The Bahamas Biocomplexity Project is an interdisciplinary research effort that combines the study of marine biodiversity, oceanography, and humans in order to improve the design of networks of marine protected areas (MPAs) for biodiversity conservation, fisheries sustainability, and other human uses. The project is an ongoing study which started in 2002 funded by the US National Science Foundation (NSF) and headed by CBC Senior Conservation Scientist Dr. Dan Brumbaugh. The Bahamas is also part of the Caribbean Carbon Neutral Tourism Project which aims to enhance the climate resilience of the Caribbean region by devising ways of attracting new sources of financing low-carbon tourism and reduce the sector’s vulnerability to climate change. The Living Oceans Foundation GIS project, “Patterns of Biodiversity and Climate Change Impacts in The Bahamas: Data to Support the Planning of Marine Reserves” has begun in support the Bahamian government’s decision making process to select new areas for marine reserves in their territorial waters, the Living Oceans Foundation is providing key data layers on biodiversity, fisheries habitat, and the impacts of hurricanes and climate change (www.livingoceansfoundation.org). The Bahamas National Trust has utilised the web-based social network, www.facebook.com, to share information on local environmental issues such as beach erosion and species protection and to encourage discussions on pertinent issues through the public online forum. The network site also provides a means of advertising events such as the World Wetlands Family Fun Day, Lionfish Control Project and the Pine Forest Walk. Another communication strategy that The Bahamas is utilising is the radio soap opera that will address climate change in the Caribbean. PCI-Media Impact along with the OECS and more than 25 partners have embarked on a regional program, My Island – My Community, to increase awareness and encourage a change in behaviour among small island communities so as to build their capacity to adapt to climate change. The Disney Worldwide Conservation Fund, Disneynature, in collaboration with The Nature Conservancy’s (TNC) Adopt a Coral Reef program, will help to establish new marine protected areas through the proceeds from sales of eco-friendly “Save Planet Earth” reusable bags. The bags are made from recycled bottles. Disneynature’s film, OCEANS, also contributed toward TNC’s programme on behalf of everyone who saw the film. 120 5.6. Sea Level Rise Impacts on Coastal Infrastructure and Settlements Based on the above evaluation, if action is not taken to protect the coastline of The Bahamas, the current and projected vulnerabilities of the tourism sector to SLR, including coastal inundation and increased beach erosion, will result in very significant economic losses for the country and its people. Adaptations to minimise vulnerabilities in The Bahamas will require considerable revisions to development plans and major investment decisions. These considerations must be based on the best available information regarding the specific coastal infrastructure and ecosystem resources along the coast, in addition to the resulting economic and non-market impacts. There are three main types of adaptation policies that can be implemented to reduce the vulnerability of the tourism sector in The Bahamas to SLR and improve the adaptive capacity of the country: (1) Hard engineering defences and (2) soft engineering defences, which both aim to protect existing infrastructure and the land on which the infrastructure is built, as well as (3) retreat policies, which aim to establish setbacks and thereby move people and/or infrastructure away from risk. A summary of examples for each of the three types of adaptation polices are provided in Table 5.6.1, along with a summary of select advantages and disadvantages of each. 121 Table 5.6.1: Summary of Adaptation Policies to reduce The Bahamas’ vulnerability to SLR and SLR-induced beach erosion Protection Type Advantages Dikes, levees, 1, 2 embankments Groynes 3, 4 Revetments Seawalls 3, 4 3, 5 Structure Redesign (e.g. elevate buildings, 6, 7 enforce foundations) Beach nourishment and replanting of coastal 2, 3, 8 vegetation Replant, restructure and 3, 8 reshape sand dunes Relocate settlements and 2, 9, relevant infrastructure 10, 11, 12 1 2 Disadvantages Hard Engineering Defences - Prevents inundation - Aesthetically unpleasing - Can be breeched if improperly designed - Can create vulnerabilities in other locations (e.g. further erosion downward from the dikes) - Expensive - Requires ongoing maintenance - Prevents erosion - Aesthetically unpleasing - Can increase erosion in other locations (e.g. stops longshore drift and traps sand) - Expensive - Prevents inundation - Aesthetically unpleasing - Less unwanted erosion - Expensive than seawalls or levees - Requires ongoing maintenance and/or replacement (temporary) - Prevents inundation - Aesthetically unpleasing - Good for densely - Can be breeched if improperly designed developed areas that - Can create vulnerabilities in other locations (e.g. further cannot retreat erosion adjacent from seawalls, reflect waves causing turbulence and undercutting) - Expensive - Requires ongoing maintenance - Scouring at the base of the seawall can cause beach loss in front of the wall - Less environmentally - May be technologically unfeasible and expensive for damaging compared to large larger buildings and resorts scale defenses - Only protects the individual structure (not surrounding - Can be completed infrastructures such as roads) independently of centralised management plans Soft Engineering Defences - Enhances slope stability - Can ruin visitor experience while nourishment is - Reduces erosion occurring (e.g. restrict beach access) - Preserves natural beach - Can lead to conflict between resorts aesthetics - Differential grain size causing differing rates of erosion - Provides protection for (e.g. new sand vs. natural sand) structures behind beach - Difficult to maintain (e.g. nourishment needs to be - Improves biodiversity and repeated/replenished, unsuccessful plantings) ecological health - Will not work on open coastlines (i.e. requires locations where vegetation already exists) - Enhances slope stability - Conflict among resort managers (e.g, ‘sand wars’) - Reduces erosion - Temporary (waves will continually move sand) Retreat Policies - Guaranteed to reduce SLR - Economic costs (e.g. relocation, compensation) vulnerability - Social concerns (e.g. property rights, land use, loss of - Less environmental damage heritage, displacement) to coastline if no - Coordination of implementation is challenging (e.g. development takes place timing of relocation is problematic) - Retains aesthetic value - Concerns with abandoned buildings 3 4 5 6 Silvester and Hsu, 1993; Nicholls and Mimura, 1998; French, 2001; El Raey et al., 1999; Krauss and McDougal, 1996; Boateng, 7 8 9 10 11 12 2008; Lasco et al. 2006; Hamm et al., 2002; Frankhauser, 1995; Orlove, 2005; Patel, 2005; Barnett, 2005 122 5.6.1. Technology – HARD Engineering Hard engineering structures are manmade, such as dikes, levees, revetments and sea walls, which are used to protect the land and related infrastructure from the sea. This is done to ensure that existing land uses, such as tourism, continue to operate despite changes in the surface level of the sea. The capital investment needed for engineered protection is expensive. For example, to protect the city of Nassau, US $176.7 million would be required to construct new levees, with an additional US $612.4 million to construct a new 35.91 km sea wall (Simpson et al., 2010). Unfortunately, the effectiveness of this approach may not withstand the test of time nor withstand against extreme events. Protective infrastructure not only requires expensive maintenance which can have long-term implications for sustainability, but adaptations that are successful in one location may create further vulnerabilities in other locations (IPCC, 2007b). For example, sea walls can be an effective form of flood protection from SLR, but scouring at the base of the seawall can cause beach loss, a crucial tourism asset, at the front of the wall (Kraus and McDougall, 2006). Moreover, hard engineering solutions are of particular concern for the tourism sector because even if the structures do not cause beach loss, they are not aesthetically pleasing, diminishing visitor experience. It is important for tourists that sight lines to the beach not only be clear, but that access to the beach is direct and convenient (i.e., to not have to walk over or around a long protective barrier). Smaller scale hard engineering adaptations offer an alternative solution to large scale protection. Options include redesigning structures to elevate buildings and strengthen foundations to minimise the impact of flooding caused by SLR. 5.6.2. Technology – SOFT Engineering Protection can be implemented through the use of soft engineering methods which require naturally formed materials to control and redirect erosion processes. For example, beaches, wetlands and dunes have natural buffering capacity which can help reduce the adverse impacts of climate change (IPCC, 2007b). Through beach nourishment and wetland renewal programmes, the natural resilience of these areas against SLR impacts can be enhanced. Moreover, these adaptation approaches can simultaneously allow for natural coastal features to migrate inland, thereby minimising the environmental impacts that can occur with hard engineering protection. Replenishing, restoring, replanting and reshaping sand dunes can also improve the protection of a coastal area, as well as maintain, and in some cases improve, the aesthetic value of the site. Although less expensive and less environmentally damaging, soft engineering protection is only temporary. For example, the ongoing maintenance required to upkeep sand dunes, such as sand replenishment schemes, will create the periodic presence of sand moving equipment, subsequently hindering visitor experience (e.g., eye and noise pollution, limit beach access). Conflicts can also arise between resort managers resulting in ‘sand wars’, whereby sand taken to build up the beach at one given resort may lead other resorts to ‘steal’ sand and place it on their own property. 5.6.3. Policy Managed retreat is an adaptation measure that can be implemented to protect people and new developments from SLR. Implementing setback policies and discouraging new developments in vulnerable areas will allow for future losses to be reduced. Such an adaptation strategy raises important questions by local stakeholders as to whether existing land uses, such as tourism, should remain or be relocated to adjust to changing shorelines (e.g., inundation from SLR) (IPCC, 2007b). Adaptation through retreat can have the benefit of saving on infrastructure defence costs (hard and soft engineering measures) while retaining the aesthetic value of the coast, particularly in those areas that are uninhabited (i.e., little to no 123 infrastructure or populations along the coast). The availability of land to enable retreat is not always possible, especially in highly developed areas where roads and infrastructures can impede setbacks or on small islands where land resources are limited. For many tourist destinations in The Bahamas, retreat is both difficult in terms of planning (and legally challenging) and expensive to implement. Resorts and supporting tourism infrastructure are large capital investments that cannot be easily uprooted to allow the sea to move inland. If the resorts cannot be moved, then the alternative is to leave them damaged and eventually abandoned, degrading the aesthetics of the destination coastline. It is important that the retreat policy be well organised, with plans that clearly outline the land use changes and coordinate the retreat approach for all infrastructures within the affected areas. Additional considerations of adaptation through retreat include loss of property, land, heritage, and high compensation costs that will likely be required for those business and home owners that will need to relocate. Priority should be placed on transferring property rights to lesser developed land, allowing for setback changes to be established in preparation for SLR (IPCC, 2007b). The Bahamas has defined the coastal zone as the country’s entire land mass to the offshore boundary of the nation’s exclusive economic zone. Integrating climate change adaptation strategies into relevant national policies and plans has been limited in The Bahamas. There is not yet a fully developed strategy for ICZM, though the national government, in conjunction with the Inter-American Development Bank, are in the process of developing an ICZM plan (Horsley & Sikirica 2001). There are several laws and regulations that apply to specific sectoral issues within the coastal zone, but no unifying framework within which to establish an ICZM plan. There are numerous institutions that exist within the government that will be involved with coastal zone management including the Ministry of Agriculture, Ministry of Public Works and Transport, Ministry of Health, The Port Authority, Ministry of Maritime Affairs, Ministry of Tourism, Direct Councils and Town Committees, Town Planning Committee (Horsley & Sikirica 2001). A variety of policy directives have been identified in the National Policy for the Adaptation to Climate Change, though the Government of Bahamas is only beginning to establish the basis for a legislative, regulatory and institutional framework for managing coastal development and protecting its natural resources (NCCC-BEST, 2005). An Environmental Impact Assessment (EIA) process exists, yet it is primarily focused on foreign investment projects and is not readily accessible to all affected parties or stakeholders. The government of The Bahamas needs to develop a coordinated EIA process for all new developments to manage coastal development and protect the natural resources of The Bahamas. 124 5.7. Comprehensive Natural Disaster Management Adaptive capacity can be measured through examination of policies and plans implemented for the management of hazards, as well as the actions taken following a disaster. Being able to reduce the impacts of natural disasters on a small island nation is often difficult, especially when facing major hazard threats on a regular basis. The post-disaster time period is a time when extra resources are needed to finance imports of food, energy, and inputs for the agricultural and manufacturing sectors. As a result, efforts to build resilience, or adaptive capacity, get put aside while immediate survival, shelter and health needs are prioritised along with the remedy of hazardous living conditions. 5.7.1. Management of natural hazards and disasters The disaster management system can be thought of as a cycle where preparedness, mitigation2 and adaptation activities (disaster prevention) are the focus prior to a disaster impact. Following an impact the management focus becomes response, recovery and reconstruction (disaster relief). These two parts of the disaster management system work together and also impact the broader social, economic, ecological and political (socio-ecological) system (see Figure 5.7.1). Disaster Prevention System Disaster Relief System Socioecological System Figure 5.7.1: Relationship of the Disaster Management System and Society 5.7.2. Caribbean disaster management and climate change As a region, the Caribbean has made coordinated efforts to prepare for and respond to disasters. The Caribbean Disaster Emergency Management Agency, CDEMA, (previously the Caribbean Disaster Emergency Response Agency, CDERA) was created in 1991. CDEMA plays a leadership role in disaster response, mitigation and information transfer within the region, operating the Regional Coordination Centre during major disaster impacts in any of their 18 Participating States, while also generating useful data and reports on hazards and climate change. The primary mechanism through which CDEMA has influenced national and regional risk reduction activities is the Enhanced Comprehensive Disaster Management (CDM) Strategy (CDEMA, 2010b). The primary purpose of CDM is to strengthen regional, 2 In the disaster management literature, ‘Mitigation’ refers to strategies that seek to minimise loss and facilitate recovery from disaster. This is contrary to the climate change definition of mitigation, which refers to the reduction of GHG emissions. 125 national and community level capacity for mitigation, management, and coordinated response to natural and technological hazards, and the effects of climate change (CDEMA, 2010). This regional disaster management framework is designed to inform national level disaster planning and activities but also takes into consideration potential climate change impacts in its resilience building protocols. The four Priority Outcomes of the CDM framework are: 1. 2. 3. 4. Institutional capacity building at national and regional levels; Enhanced knowledge management; Mainstreaming of disaster risk management into national and sector plans; and Building community resilience. These outcomes have been further broken down into outputs that assist in the measurement of progress towards the full implementation of CDM at the national and community level and within sectors (see Table 5.7.1). The CDM Governance Mechanism is comprised of the CDM Coordination and Harmonization Council and six (6) Sector Sub-Committees. These sectors include – Education, Health, Civil Society, Agriculture, Tourism and Finance. These six sectors have been prioritised in the Enhanced CDM Strategy as the focus during the period from 2007 to 2012. CDEMA facilitates the coordination of these committees (CDEMA, 2010). To address disaster management in the Caribbean tourism sector, CDEMA, with the support of the InterAmerican Development Bank (IDB) and in collaboration with the Caribbean Tourism Organization (CTO), CARICOM Regional Organization for Standards and Quality (CROSQ), and the University of the West Indies (UWI) will be implementing a Regional Disaster Risk Management (DRM) Project for Sustainable Tourism (The Regional Public Good) over the period of January 2007 to June 2010. The project aims to reduce the Caribbean tourism sector’s vulnerability to natural hazards through the development of a ‘Regional DRM Framework for Tourism’. Under the Framework, a ‘Regional DRM Strategy and Plan of Action’ will be developed, with a fundamental component being the development of standardised methodologies for hazard mapping, vulnerability assessment and economic valuation for risk assessment for the tourism sector (CDERA 2007; CDERA 2008). Finally, the link between CDM and climate change cannot be ignored. Projections for the region suggest that more extreme temperatures and more intense rainfall in certain seasons could lead to a greater number of hydro-meteorological disasters. Many of the hazards facing Caribbean countries already pose threats to lives and livelihoods and climate-related events are regular occurrences. This has been recognised with the mention of climate change in the CDM strategy. The CCCRA report will not only offer improvements to the existing disaster management framework in the region, but will also offer pragmatic strategies for action which will build resilience in the Caribbean to the predicted impacts from climate change (see herein, sector reports on Climate Modelling, 126 Water Quality and Availability, Energy Supply and Distribution, Agriculture and Food Security, Human health, Marine and Terrestrial Biodiversity and Fisheries, Sea Level Rise and Storm Surge Impacts on Coastal Infrastructure and Settlements, Comprehensive Natural Disaster Management, and Community Livelihoods, Gender, Poverty and Development). Table 5.7.1: Enhanced Comprehensive Disaster Management Programme Framework 2007-2012 GOAL Regional Sustainable Development enhanced through Comprehensive Disaster Management PURPOSE ‘To strengthen regional, national and community level capacity for mitigation, management, and coordinated response to natural and technological hazards, and the effects of climate change. OUTCOME 1: OUTCOME 2: OUTCOME 3: OUTCOME 4: Enhanced institutional support for CDM Program implementation at national and regional levels An effective mechanism and programme for management of comprehensive disaster management knowledge has been established Disaster Risk Management has been mainstreamed at national levels and incorporated into key sectors of national economies (including tourism, health, agriculture and nutrition) Enhanced community resilience in CDERA states/ territories to mitigate and respond to the adverse effects of climate change and disasters OUTPUTS OUTPUTS OUTPUTS OUTPUTS 1.1 National Disaster Organizations are strengthened for supporting CDM implementation and a CDM program is developed for implementation at the national level 2.1 Establishment of a Regional Disaster Risk Reduction Network to include a Disaster Risk Reduction Centre and other centres of excellence for knowledge acquisition sharing and management in the region 3.1 CDM is recognized as the roadmap for building resilience and Decision-makers in the public and private sectors understand and take action on Disaster Risk Management 4.1 Preparedness, response and mitigation capacity (technical and managerial) is enhanced among public, private and civil sector entities for local level management and response 3.2 Disaster Risk Management capacity enhanced for lead sector agencies, National and regional insurance entities, and financial institutions 4.2 Improved coordination and collaboration between community disaster organizations and other research/data partners including climate change entities for undertaking comprehensive disaster management 1.2 CDERA CU is strengthened and restructured for effectively supporting the adoption of CDM in member countries 1.3 Governments of participating states/ territories support CDM and have integrated CDM into national policies and strategies 1.4 Donor programming integrates CDM into related environmental, climate change and disaster management programming in the region. 1.5 Improved coordination at national and regional levels for disaster management 2.2 Infrastructure for factbased policy and decision making is established /strengthened 2.3 Improved under-standing and local /community-based knowledge sharing on priority hazards 2.4 Existing educational and training materials for Comprehensive Disaster Management are standardized in the region. 2.5 A Strategy and curriculum for building a culture of safety is established in the region 3.3 Hazard information and Disaster Risk Management is integrated into sectoral policies, laws, development planning and operations, and decision-making in tourism, health, agriculture and nutrition, planning and infrastructure 3.4 Prevention, Mitigation, Preparedness, Response, recovery and Rehabilitation Procedures developed and Implemented in tourism, health, agriculture and nutrition, planning and infrastructure 1.6 System for CDM monitoring, evaluation and reporting being built 4.3 Communities more aware and knowledgeable on disaster management and related procedures including safer building techniques 4.4 Standardized holistic and gender-sensitive community methodologies for natural and anthropogenic hazard identification and mapping, vulnerability and risk assessments, and recovery and rehabilitation procedures developed and applied in selected communities. 4.5 Early Warning Systems for disaster risk reduction enhanced at the community and national levels 127 5.7.3. Bahamas disaster management system It is well recognised that good governance is not only a matter of legislation, but also demands effective, appropriate and flexible institutions as well as enforcement of regulatory frameworks and the political will to balance competing interests (UNEP, 2007). Management of disasters and emergencies in Bahamas is coordinated by the National Emergency Management Agency (NEMA) through their National Disaster Plan. The purpose of the National Disaster Plan is “to establish a process and structure for the systematic, coordinated and effective delivery of National assistance to address the consequences of any major disaster or emergency” (Cuervo, et al., 2005). The NEMA has instituted this plan and is in charge of its implementation. National disaster management committee In The Bahamas, disaster management is an interdisciplinary effort coordinated at the national level by NEMA and at the working level by the Disaster Management Committee. Disaster management in The Bahamas follows the US incident command system (ICS) where NEMA leads activities in all phases of disaster management; planning, preparation, response and recovery (Shurland and de Jong, 2008). “The Disaster Management Committee (DMC) meets monthly to discuss matters relating to disasters. Committee members represent relevant Government Ministries and Departments, The Bahamas Red Cross and The Salvation Army” (NEMA, 2005). Members of the DMC include: Royal Bahamas Police Force Royal Bahamas Defence Force Ministry of Health Department of Environmental Health Ministry of Tourism Ministry of Social Services and Community Development Ministry of Transport and Aviation Ministry of Foreign Affairs Bahamas Customs H. M. Prison Bahamas Electricity Corporation Water and Sewerage Corporation Bahamas Telecommunication Corporation Public Hospitals Authority Airport Authority Port Authority Bahamas Red Cross The Salvation Army Department of Local Government “The ESF [Emergency Support Function] format details the missions, policies, structures, and responsibilities of each government ministry for coordinating resources and programmatic support to NEMA and Family Island Administrators during incidents of national significance” (Hughey, 2008). The ESFs are grouped into 13 categories according to the Comprehensive Emergency Management Plan (CEMP): ESF 1 Transportation ESF 2 Communication ESF 3 Public Works & Engineering ESF 4 International Assistance ESF 5 Planning and Information ESF 6 Shelter Services ESF 7 Relief Supplies & Distribution ESF 8 Health & Medical Services ESF 9a Urban Search & Rescue ESF 9b Marine Search & Rescue ESF 10a Hazardous Material – Land ESF 10b Hazardous Material – Marine ESF 11 Food ESF 12 Tourism ESF 13 Volunteers The Ministry of Tourism is the lead organisation for ESF-12 (Tourism) and as such is charged with the responsibility for coordinating response actions and protocols for tourism businesses. NEMA still communicates with the various committees via their Emergency Operations Centre (EOC) that is erected 128 whenever an event overwhelms the capabilities of local agencies. However, by using ESFs, each sector should already have a plan of action for use during natural hazard events and disasters. The tourism sector has developed a ‘Hazard Preparedness and Response Plan’ to give effect to its responsibility as ESF-12 leader (Shurland and de Jong, 2008). The challenge NEMA faces in having this highly response-oriented approach is that vulnerabilities cannot be well managed before an event; rather the impacts are managed after damages have already occurred. With better integration of the CDM Framework, NEMA and the ESF format could transform into a more holistic management of natural hazards with more effective risk reduction. An evaluation by the Inter-American Development Bank (IDB), as part of their funding approval process for a Natural Risks Preventive Management Programme, identified a few weaknesses within the current NEMA agency and within the country-wide emergency management activities. The areas of focus for the 2005 Natural Risks Preventive Management Programme were therefore designed to address these concerns. The focus areas were: legal and institutional framework, communications, shelters, community preparedness, a Country Risk Profile which would identify actions to reduce disaster risk (Cuervo, et al., 2005). This recent funding has aimed to strengthen disaster resilience in The Bahamas while also improving land use planning and coastal zone management. To achieve disaster resilience, the Natural Risks Preventive Management Programme is expected to create a well-functioning disaster management system for The Bahamas (Miglino, et al., 2003). In conjunction with this, a larger Integrated Coastal Zone Management (ICZM) project seeks to better regulate land use and coastal development projects. The Land Use Policy and Administration Project (LUPAP), funded by the IDB, seeks to concurrently develop a general land use and zoning strategy including sub-division and set-back regulations. Together these projects will also encourage proper Environmental Impact Assessment (EIA) for coastal tourism developments (Miglino, et al., 2003). The IDB-funded Natural Risks Preventive Management Programme has been cancelled and as such the progress towards the well-functioning emergency management system is unclear. The creation of the new Disaster Preparedness and Response Act (2006) is a positive step, however, the Act cannot directly improve all of the areas of weakness mentioned above. 5.7.4. Technology Early Warning Systems (EWS) – An EWS is commonly used in conjunction with an evacuation plan in order to guide at risk persons to safety and avoid losses of life from natural hazard events. The use of an EWS is an effective communication tool only when the proper instrumentation for collection of the necessary weather data is present (i.e. rain gauges, tidal gauges, weather stations etc.). For hurricanes and tropical storms, the Meteorology Department has an early warning system linked to satellites that tracks and records the progress of storm systems as they approach the islands (The Bahamas Meteorology Department, 2011). Additionally, NEMA has also recently (March 2011) installed a Severe Weather Warning Siren System to warn residents of an approaching severe weather system. A tornado on Grand Bahama in 2010 prompted the creation of this system (BIS, 2011a). The sirens will be installed across all of the islands eventually, but was piloted in various communities across Grand Bahama and can be heard up to a mile away (BIS, 2011a). This is a positive step towards better preparedness and through testing such as that done in March 2011, all members of the community and disaster management officials can learn how best to respond to these warnings. Additionally, in preparation for disasters and in relation to natural hazards The Bahamas Reef and Environment Education Foundation (BREEF) takes action within two units. The Control Unit deals with flooding, mosquitoes, rodent movement, sewage monitoring, potable water testing, pests and seawalls consolidation. The Investigation Unit monitors rainfall, flooding, moisture, mould and air quality. This 129 information can then be fed back into the Early Warning System (EWS) and can help inform evacuations. The Ministry of Works checks, assesses and gives estimates to repair people’s residences as well as public buildings and coordinates the placement of people in shelters when needed. Finally, at a NEMA Knowledge Exchange Conference in 2010, The Bahamas National Geographic Information Systems Centre (BNGIS) shared how they use technology for their role under ESF-5 (Planning and Information). The vital role GIS can play in decision making throughout all phases of the disaster management cycle was discussed and its links to other development processes was also examined (BNGIS, 2010). Efforts are being made to create an integrated map database of all types of infrastructure and the location of communities, as well as the topography of the islands with a focus on natural hazard areas. 5.7.5. Policy Disaster Management Act: Across the Caribbean policies to adapt to and manage climate change impacts are becoming more common. The strong relationship between disasters and climate change create a policy arena where both issues can be managed under similar governance mechanisms. In The Bahamas it was in 2005 that the Prime Minister proposed the review of disaster management legislation so as to minimise the impact of major disaster and enable planning that would avert disasters (The Commonwealth of The Bahamas, 2005a). The new legislation was planned to empower the Government and its disaster planners to be able to force evacuations; identify vulnerable areas thus allowing planning and response resources to be used in a less ad-hoc manner; and to enable better shelter management through the designation of persons to specific shelters (The Commonwealth of The Bahamas, 2005a). The Government swiftly created and approved the Disaster Preparedness and Response Act, 2006 and this more integrated and holistic strategy involving all partners is expected to achieve better inter-agency cooperation thanks to more detailed partner roles. CDEMA is also working with NEMA to develop a model plan that will strengthen the country’s Relief Management Supplies Policy (BIS, 2006a). Environmental Impacts and Development Planning: Although policies have been put into place to protect against severe weather conditions, property buyers still want to buy within a close proximity to the coastline. Building Codes do stipulate that buildings should be able to withstand the wind speeds associated with a Category 5 Hurricane and buildings on the coast should not be built on top, or crossing the high water mark of 75 feet away from the water (see the Sea Level Rise and Storm Surge Impacts on Coastal Infrastructure and Settlements section for further details about coastal zone management). As a region, relevant groups are working hard toward the development and application of a Caribbean Building Code or Building Standards using the International Code Council (ICC) codes as the primary base documents with additional input from the Caribbean Uniform Building Code (CUBiC) and earlier assessments on wind load and seismic considerations. The Code has already been prepared and the next step is for each of the 15 states involved to review the documents and prepare their own Caribbean Application Document (CAD). This document will most likely be prepared by specialists who will determine how the regional code should be applied given each country’s own peculiarities, for example some countries will focus more heavily on flooding and less on seismic considerations. The CAD will then be reviewed by all of the relevant stakeholders on the National Stakeholder Subcommittee who will provide comments before it is submitted to CARICOM. (Jonathan Platt, Barbados National Standards Institute, personal communication, May 4, 2011). Bahamas Environmental, Science and Technology Commission (BEST) is a commission created from representatives from various ministries and is envisioned as an entity that could evolve into the environmental authority for The Bahamas. The evolution has not yet been realised and BEST has not able to 130 reach a set of permanent staff members (Miglino, et al., 2003). Instead BEST has become the primary agency in charge of Environmental Impact Assessments (EIAs). There are no specific criteria that trigger an EIA, however the BEST Commission has a set of Resort Development Guidelines that proponents are often asked to use as guidance for their development (CDB and CARICOM, 2004). Foreign firms are allowed to conduct EIA provided they meet some basic criteria, as well as possessing the required work permits and licensing documents (CDB and CARICOM, 2004). Additional EIA Guidelines are in development for various sectors including: Housing Developments, Marinas and Ports, Agriculture Developments and Operations, Industrial Operations, Energy Industries, Manufacturing, Extractive Processing, Development in Sensitive Areas, and Aquaculture and Mariculture Developments (CBD and CARICOM, 2004). Sensitive areas are defined as mangrove areas, aquifer recharge areas, coral reef areas, freshwater wetlands and steep slope upland areas (SENES Consulting Inc, 2005). Other draft guidelines are designed to be exhaustive and assist proponents and other stakeholders in preparation for an EIA, but ultimately it is the proponent’s responsibility to ensure all relevant environmental issues are addressed in their EIA (SENES Consulting Inc, 2005). Catastrophe Insurance Coverage: Re-insurance within the Caribbean region has generally been provided by international insurance companies. However, the classification of the region as a catastrophe zone, thus being high risk, means that insurance premiums remain very high for those who seek insurance. The Caribbean is home to the first risk pooling facility designed to limit financial impacts of catastrophic hurricanes and earthquakes in Caribbean member countries, by providing short-term liquidity when the policy is triggered (CCRIF, 2011). Originally, the insurance index was based on degree of shaking during earthquakes or wind speed for hurricane events and the member country would qualify for a pay-out based on their policy and the level of damages deemed to be associated with either wind or shaking. Recently, the need to also consider water damages has been noted. As a result, the CCRIF has continued to make progress on an ‘Excess Rainfall product’ which is anticipated for the beginning of the 2011-2012 policy year starting on June 1, 2011 (CCRIF, 2011). This would mean that countries would qualify for pay-out to cover damages associated with flooding and heavy rains, whether associated with hurricanes/tropical storms or not. 131 5.8. Community Livelihoods, Gender, Poverty and Development 5.8.1. Household Surveys The mapping exercise undertaken by community members at a participatory workshop provided guidance on which geographic areas should be sampled for adaptive capacity. These included those areas where livelihood activities are vulnerable to biophysical impacts of climate change, and poor/depressed areas. As a result of various constraints, a small sample size was used. Whilst this may not be statistically significant in large communities, the analysis provides clear insight into issues and challenges of the community as a whole. A total of twenty-five respondents were surveyed, nine (36%) of whom were male and sixteen (64%) female. 5.8.2. Demographic Profile of Respondents Residency in the Parish Just over half of all respondents (N = 13 / 52%) indicated that they had lived in their respective community in Abaco for a minimum of 10 years. Of interest, and not dissimilar to patterns observed in other research sites, female respondents recorded longer periods of residency, with 75% (N = 12 / 15: 75%) of all female respondents indicating that they had lived in the community for at least 10 years, compared to 11% of male respondents who had lived in the Parish for a for a similar period. Table 5.8.1: Length of Residency in Parish / Community Residency Less than one year 1 - 5 years 6 - 10 years 11 - 15 years 16 - 20 years 21 - 25 years Male 2 4 2 0 1 0 Female 22.22% 44.44% 22.22% 0.00% 11.11% 0.00% 1 3 0 1 2 9 6.25% 18.75% 0.00% 6.25% 12.50% 56.25% Sample 3 7 2 1 3 9 12.00% 28.00% 8.00% 4.00% 12.00% 36.00% Age Distribution The population sampled was an extremely youthful one with only one respondent (N = 1 / 4%) recording her age as over 60 years. Of interest, female headed households have a larger proportion of younger; as well as older respondents than male headed households, which could be indicative of the increased burden of care placed on female household heads. This burden would need to be taken into consideration in any disaster management strategy. 132 Table 5.8.2: Age Distribution of Sample by Sex of Head of Household, N Values Age of Respondent Under 25 25 - 34 35 - 44 45 - 54 55 - 59 Over 60 Male 0 0 0 0 0 Female Headed Female Total 1 1 4 4 3 3 2 2 3 3 1 1 Male Male Headed Female Total 4 4 0 1 4 5 Sample 1 8 8 2 3 1 Table 5.8.3: Age Distribution of Sample by Sex of Head of Household, %Values Age of Respondent Under 25 25 - 34 35 - 44 45 - 54 55 - 59 Over 60 Female Headed Male Female Total 7.14% 7.14% 28.57% 28.57% 21.43% 21.43% 14.29% 14.29% 21.43% 21.43% 7.14% 7.14% Male 0.00% 50.00% 50.00% 0.00% 0.00% 0.00% Male Headed Female 0.00% 0.00% 100.00% 0.00% 0.00% 0.00% Total Total 0.00% 44.44% 55.56% 0.00% 0.00% 0.00% 4.35% 34.78% 34.78% 8.70% 13.04% 4.35% 5.8.3. Household Form and Structure Predominantly, respondents indicated that they were married (N 13 = / 52%). This was moreso the case for female respondents, 56% of whom indicated they were married; compared to 44% of male respondents who indicated the same relationship status. Of interest, a larger proportion of women were either separated or divorced, Table 5.8.4. Table 5.8.4: Relationship Status of Respondents Status Single Single (Visiting Relationship) Married Separated Other/Common Law Divorced Male 3 1 4 1 0 0 Female 33.33% 11.11% 44.44% 11.11% 0.00% 0.00% 133 2 1 9 2 1 1 12.50% 6.25% 56.25% 12.50% 6.25% 6.25% Sample 5 2 13 3 1 1 20.00% 8.00% 52.00% 12.00% 4.00% 4.00% 60.00% 50.00% 40.00% 30.00% 20.00% 10.00% 0.00% Single Single (Visiting Relationship) Married Separated Other/Common Law Divorced Male 33.33% 11.11% 44.44% 11.11% 0.00% 0.00% Female 12.50% 6.25% 56.25% 12.50% 6.25% 6.25% Sample 20.00% 8.00% 52.00% 12.00% 4.00% 4.00% Figure 5.8.1: Relationship Status of Respondents Household Headship More than half of the respondents sampled listed themselves as the heads of their respective households (N=14 / 56%). Of interest, more male respondents (N=8 / 89%) than female respondents (N = 6 / 37.5%) indicated that they were considered the head of their households. Table 5.8.5: Perception of Head ship of Household Perceived as Head of Household Yes No Male 8 1 Female 88.89% 11.11% 6 10 Sample 37.50% 62.50% 14 11 56.00% 44.00% With regards to household size, eighty-seven (N = 20 / 86.95%) of respondents indicated that they lived in households less than five persons. Of note, slightly more male respondents (N = 4 / 44% of males) than female respondents (N = 3 / 21.43% of females) indicated that they were the only members of their households. Table 5.8.6: Family Size by Sex of Head of Household Size of Household Headship of Household Male SAMPLE Female Single-person household 4 44.44% 3 21.43% 7 30.43% 2 - 4 persons 5 55.56% 8 57.14% 13 56.52% 5 - 6 persons 0 0.00% 1 7.14% 1 4.35% 7 - 8 persons 0 0.00% 2 14.29% 2 8.70% Of interest, respondents indicated that females tended to head larger households, with all households with more than four persons being headed by females. 134 Education and Livelihoods The largest proportion of the sample (N=16 / 70%) indicated that they had completed up to a secondary level of education. Of note, is that while 85.71% of female respondents indicated that they had completed a secondary education, this was the case for only 44.44% of male respondents. However, despite higher rates of completion of secondary level education for female respondents, male respondents (N = 4 / 44%) completed Community college, or tertiary education at more than three times the rate of female respondents (N = 2 / 14%). Also of note, though not surprising given the widely accepted perception of technical areas as the purview of males, no female respondents indicated having completed education at a Tech-Voc institute. Table 5.8.7: Sample Distribution by Education and Training Highest Level of Education Secondary Community College Technical-Vocational Institute Tertiary Male 4 3 1 1 44.44% 33.33% 11.11% 11.11% Female 12 1 0 1 Sample 85.71% 7.14% 0.00% 7.14% 16 4 1 2 69.57% 17.39% 4.35% 8.70% Consistent with higher levels of education, male respondents indicated that their average monthly incomes exceeded that of female respondents. In fact, all males sampled recorded earning in excess of USD 1,500 per month, while this was only the case for 31% (N = 4) of females sampled (See Table 5.8.8 and Figure 5.8.2). Table 5.8.8: Sample Distribution by Average Monthly Earnings, N Values Average Income Less than US $500 US $500 – US $750 US $751 – US $1000 US $1001 – US $1250 US $1250 – US $1500 More than US $1500 Headship of Household Male – Headed Female – Headed Male Female Male Female 1 3 1 2 0 1 1 7 0 4 SAMPLE Male 0 0 0 0 0 7 Female 1 3 1 2 2 4 Total 1 3 1 2 2 11 Table 5.8.9: Sample Distribution by Average Monthly Earnings, % Values Average Income Less than US $500 US $500 – US $750 US $751 – US $1000 US $1001 – US $1250 US $1250 – US $1500 More than US $1500 Headship of Household Male - Headed Female - Headed Male Female Male Female 0.00% 0.00% 8.33% 0.00% 0.00% 25.00% 0.00% 0.00% 8.33% 0.00% 0.00% 16.67% 0.00% 100.00% 8.33% 100.00% 0.00% 33.33% 135 SAMPLE Male 0.00% 0.00% 0.00% 0.00% 0.00% 100.00% Female 7.69% 23.08% 7.69% 15.38% 15.38% 30.77% Total 5.00% 15.00% 5.00% 10.00% 10.00% 55.00% 100.00% 90.00% 80.00% 70.00% 60.00% 50.00% 40.00% 30.00% 20.00% 10.00% 0.00% Less than USD500 UDF 500 - USD 750 USD 751 - USD 1000 USD 1001 - USD 1250 USD 1250 - USD 1500 More than USD 1500 Male 0.00% 0.00% 0.00% 0.00% 0.00% 100.00% Female 7.69% 23.08% 7.69% 15.38% 15.38% 30.77% Total 5.00% 15.00% 5.00% 10.00% 10.00% 55.00% Figure 5.8.2: Sample Distribution by Average Monthly Earnings Surprisingly, given the importance of Tourism to the Abaco community, respondents indicated that their primary income was derived from sources other than tourism. Table 5.8.10: Labour Market Participation: Involvement in Tourism Sector Involvement Male Female Sample Yes 4 44% 9 82% 14 67% No 5 56% 2 18% 7 33% However, when asked directly about the kind of work in which they were engaged, 65% (N = 13) of all respondents indicated that they were in fact engaged in some tourism-related activity. It could be that respondents considered only some specific jobs in relation to tourism. It is of note, however that 82% (N = 9) of female respondents (compared with 44% [N=4] of male respondents) were employed within the Tourist industry and therefore would be vulnerable to shocks, both economic and environmental that could result in a downturn in the sector. Given the vulnerability of the Tourism sector to climate related events, it is apparent that more women than men will be at risk of having their livelihoods compromised, should such an event take place in the community. 136 Table 5.8.11: Labour Market Participation: Involvement in Tourism AND Non-Tourism Sectors NON-TOURISM TOURISM Industry OTHER Job Male Female Total Tour Operator 1 11.11% 0 0.00% 1 4.17% Hotel Worker 0 0.00% 2 13.33% 2 8.33% Restaurant Worker 1 11.11% 4 26.67% 5 20.83% Craft seller or Vendor 0 0.00% 1 6.67% 1 4.17% Informal Tour Guide 2 22.22% 0 0.00% 2 8.33% Privately owned business 0 0.00% 2 13.33% 2 8.33% Domestic Worker 0 0.00% 1 6.67% 1 4.17% Mechanical / Technical 1 11.11% 0 0.00% 1 4.17% Retail sales and services 1 11.11% 0 0.00% 1 4.17% Government Worker 1 11.11% 0 0.00% 1 4.17% Self employed 2 22.22% 1 6.67% 3 12.50% Not reported / Unemployed 0 0.00% 4 26.67% 4 16.67% Of interest, while all male respondents indicated that they were involved in income generating activity, 27% (N=4) of female respondents reported being unemployed at the time of the survey. Table 5.8.12: Sample Distribution by Involvement in Income Generating Activity Involvement in IGA Yes No Male 9 0 100 % 0% Female 11 4 73% 27% Similarly, while all male respondents indicated that they were involved in income generating activities, this was only the case of 73% (N = 11) of female respondents. Also of note, while 78% (N = 7) of male respondents indicated that they were the primary income earner for their households, only 37.5% (N = 6) of female respondents indicated that they had a similar responsibility. This could be indicative of the gendered expectations of men as breadwinners in their households. 137 100.00% 90.00% 80.00% 70.00% 60.00% 50.00% 40.00% 30.00% 20.00% 10.00% 0.00% Male Female Income Generation 100.00% 66.67% Income Earner 77.78% 37.50% Figure 5.8.3: Household Income Generating Activity When one considers the disparities in levels of education between male and female respondents an interesting pattern emerges: it appears that female respondents assume responsibility as their households’ main income earners on salaries based on lower levels of education, and presumably corresponding lower salaries, than men. Two thirds of female respondents (66% / N = 4) who indicated that they were primarily responsible for their family’s income completed only up to secondary education, compared to 57% (N = 4) of male respondents who had similar levels of education and were responsible to their households as the main income earner. Conversely, while only 33% of female respondents provided for their families having received tertiary education, this was the case for 43% of male respondents. 138 70.00% 60.00% 50.00% 40.00% 30.00% 20.00% 10.00% 0.00% Male Female Secondary 57.14% 66.67% College and Tertiary 42.86% 33.33% Figure 5.8.4: Sample Distribution by Financial Responsibility for Household Given the patterns of the ways in which female respondents’ income is used, it bears noting that despite lower levels of education and presumably lower rates of remuneration, female-headed households were responsible to a much greater extent to offer financial support to other households than were male-headed households. While 42% of female-headed households offered financial support to other households, this was only so for 22% of male-headed households 139 80.00% 70.00% 60.00% 50.00% 40.00% 30.00% 20.00% 10.00% 0.00% Yes No Yes No Receive Support Give Support Male Headed 22.22% 77.78% 22.22% 77.78% Female Headed 23.08% 76.92% 41.67% 58.33% Figure 5.8.5: Sample Distribution by Financial Responsibility for Household The pattern could suggest two things: A better developed support system and systems of social capital among female headed households, which could be critical in the aftermath of a climate related disaster. An additional burden of care placed on females and members of their household as females fulfil their roles in the care economy. In this way, critical resources for potential use in the development of adaptation strategies may have to be used to support others. 5.8.4. Security and Social Protection Food Security The strains under which female headed households seems to operate in comparison to male headed households was also evident, in relation to the food security of the respective households. Overwhelmingly respondents (92%) indicated that their food supply was procured from grocery stores or super markets. Additional sources of food included Community Shops (4%) and Traditional Markets (4%). Of note, though not surprisingly, given the income levels of female headed homes, while all respondents from male-headed households procured their food supply from groceries and supermarkets, 6.25% (N = 1) of respondents from female-headed households procured their food supply from traditional markets and community shops, respectively, which tend to be less expensive. 140 Table 5.8.13: Source of Food Supply Source of Food Supply Sample Male Headed Female Total 0.00% 88.89% 11.11% 100.00% 0.00% 0.00% 0.00% Male Grown by Family Grocery store / Super market Open air / Traditional market Community Barter 0.00% 92.00% 4.00% 4.00% 0.00% Male Female Headed Female Total 0.00% 0.00% 87.50% 87.50% 6.25% 6.25% 6.25% 6.25% 0.00% 0.00% Also of note, when asked about the adequacy of the household food supply, while the sample overwhelmingly (N = 21 / 91%) indicated an adequate supply throughout the year, this was less so in the case of respondents from female-headed households. Whereas all respondents from male headed households indicated an adequate supply of food throughout the year, 14% of respondents from femaleheaded households noted that food was not adequate throughout the year. Table 5.8.14: Adequacy of Food Supply Adequacy of Food Supply Yes No Sample 21 2 91.30% 8.70% Male Headed Male Female 8 88.89% 1 11.11% 0 0 9 0 Total 100% 0% Male Female Headed Female Total 12 85.71% 12 85.71% 2 14.29% 2 14.29% As expected, reasons for inadequacy of food were mainly financial ones. As one respondent noted there is a “lack of finances to buy needed food at times” Respondents indicated that in the instance a credit facility was sought, it was - in the main – from Commercial Banks. When examined on the basis of sex, similar patterns to those observed in the LGPD work completed in Barbados and Jamaica were seen: more than 50% of all female respondents accessing credit did so from informal source, while no male respondents accessing credit did so from informal source. To the contrary, 75% of all male respondents accessing credit did so from Commercial Banks. The recurring trend seems to be indicative of a preference for community schemes on the part of women, as well as could signal barriers to accessing formal forms of credit for women, which may not exist in the same way for men. Table 5.8.15: Sample Distribution by Access to Credit Loan Facility TOTAL SAMPLE Male Headed Female Headed Commercial Bank Loan 42.86% 75.00% 35.29% Credit Union Loan 14.29% 25.00% 11.76% Sou Sou / Meeting Turn / Partner 19.05% 0.00% 23.53% Other 23.81% 0.00% 29.41% Disparities in financial wherewithal were also seen in regards to respondents’ perceptions’ of financial solvency. The largest proportion of respondents believed that in the instance they were to lose their jobs or experience some natural disaster, their financial reserves would last between four and six months. 141 Don't know More than a year 10 - 12 months 4 - 6 months 1 - 3 months Less than 1 month 0.00% 5.00% 10.00% 15.00% 20.00% 25.00% 30.00% 35.00% Less than 1 month 1 - 3 months 4 - 6 months 10 - 12 months More than a year Don't know Natural Disaster 21.74% 17.39% 30.43% 0.00% 13.04% 13.04% Job Loss 23.81% 14.29% 33.33% 4.76% 14.29% 9.52% Figure 5.8.6: Financial Security: Job Loss or Natural Disaster More specifically: in relation to Natural Disaster, respondents from female headed households indicated far shorter periods of financial coverage than respondents in male headed households. While 22% of respondents from male headed households indicated an ability to survive for more than a year in the instance of a natural disaster, this was the case for only 7% of respondents of female headed households. Table 5.8.16: Sample Distribution by Financial Security: Natural Disaster Financial Reserve Less than 1 month 1 - 3 months 4 - 6 months 7 - 9 months 10 - 12 months More than a year Don't know Male 1 12.5% 2 3 25.0% 37.5% - 2 25.0% 0.0% Male Headed Female 1 Total Male Female Headed Female Total Sample - 1 11.11% 0 4 28.57% 4 28.57% 5 21.74% 100% - 3 3 33.33% 33.33% - 0 0 1 7.14% 4 28.57% 0.00% 3 21.43% 1 4 3 7.14% 28.57% 0.00% 21.43% 4 7 0 3 17.39% 30.43% 0.00% 13.04% - 2 22.22% 0 1 7.14% 1 7.14% 3 13.04% 1 7.14% 7.14% 1 4.35% 0.00% Conversely, respondents from female headed households indicated longer periods of financial coverage than respondents in male headed households, in the instance of job loss. Ninety percent of respondents from male headed households (N = 8/ 89.9%) indicated that they would be able to survive for less than six months in the instance of job loss, compared to 58% (N = 7) of respondents in female headed households. However, while 11% of respondents from male-headed households indicated that they would be able to survive for over a year; this was only the case for 8.33% of respondents from female-headed households (See Table 5.8.17). 142 Table 5.8.17: Sample Distribution by Financial Security: Job Loss Financial Reserve Less than 1 month 1 - 3 months 4 - 6 months Male 1 (12.50%) 3 (37.50%) 3 (37.50%) Male Headed Female Male 1 (100.0%) Total 1 (11.11%) 3 (33.33%) 4 (44.44%) - - 7 - 9 months - - - - 10 - 12 months - - - - More than a year 1 (12.50%) - 1 (11.11%) - Don't know 0.00% - - - Female Headed Female Total 4 4 (33.33%) (33.33%) Sample - - 3 (25.00%) 1 (8.33%) 3 (25.00%) 1 (8.33%) 3 (25.00%) 1 (8.33%) 3 (25.00%) 1 (8.33%) 5 (23.81%) 3 (14.29%) 7 (33.33%) 1 (4.76%) 3 (14.29%) 2 (9.52%) - - - Similar to trends observed in other territories under investigation, respondents generally had little social protection, with just over half of all respondents (N=13 / 52%) having health insurance and less than one fifth of respondents (N = 4 / 16%) in possession of a private pension savings plan. Home insurance, which covered climate related events, was particularly low with protection against Fire being the most subscribed (N = 7 / 28%) Some interesting patterns were observed, when examined on the basis of household structure: Despite low subscription to private pension savings plans, respondents from male headed households were almost five times as likely to have such a plan than respondents from female headed households, only 7% of whom indicated that they had such plans A similar situation existed in relation to government pension where all respondents from male headed households were entitled to government pensions, compared to 64.29% of female respondents who were similarly entitled Respondents from male headed households were also better protected in relation to Flood and Storm Surge insurance than were respondents from female headed households. Table 5.8.18, provides additional details: Table 5.8.18: Sample Distribution by Social Protection Provisions Financial Provision Health Insurance Private Pension Savings Government Pension Home Insurance Hurricane Home Insurance Flooding Home Insurance Storm Surge Home Insurance Fire Sample 13 4 52.00% 16.00% Male Headed Male Female Total 5 62.50% 0.0% 5 55.56% 3 37.50% 0.0% 3 33.33% 18 72.00% 8 100.00% 6 24.00% 2 5 20.00% 5 7 1 Male Female Headed Female Total 8 57.14% 8 57.14% 1 7.14% 1 7.14% 100.0% 9 100.00% 9 64.29% 9 64.29% 25.00% 0.0% 2 22.22% 4 28.57% 4 28.57% 2 25.00% 0.00% 2 22.22% 3 21.43% 3 21.43% 20.00% 2 25.00% 0.00% 2 22.22% 3 21.43% 3 21.43% 28.00% 2 25.00% 0.00% 2 22.22% 5 35.71% 5 35.71% 143 5.8.5. Asset Base Of interest, despite relatively high ownership of land (80% of all respondents) house ownership was not particularly high (64%). Of particular interest was the fact that despite other financial / monetary indicators placing male headed households ahead of female headed households, larger proportions of respondents in female headed households both owned houses and land, than did respondents in male headed households, as detailed in Table 5.8.19: Table 5.8.19: Sample Distribution by Ownership of Assets: Capital Assets Asset / Amenity Male Headed Male Female Headed Female Total Male Female Sample Total House 4 50.00% 0 0.00% 4 44.44% 12 85.71% 12 85.71% 16 64.00% Land 6 75.00% 1 100.00% 7 77.78% 13 92.86% 13 92.86% 20 80.00% 5 62.50% 1 100.00% 6 66.67% 0.00% 0 0.00% 6 24.00% 3 37.50% 0 0.00% 3 33.33% 35.71% 5 35.71% 8 32.00% Commercial Vehicles Private business 5 On the other hand, despite higher levels of ownership both of houses and land by respondents from female headed households, respondents from such households were more likely to live in wooden or mud houses (64%) than respondents from male headed households, none of whom lived in homes made of mud. Table 5.8.20: Sample Distribution by Ownership of Assets: House Material House Material Male Headed Male Blocks and cement 3 Mud 37.50% Female 1 0.00% Wood 5 62.50% Female Headed 0 100% Total Male Sample Female Total 4 44.44% 5 35.71% 5 35.71% 9 39.13% 0 0.00% 1 7.14% 1 7.14% 1 4.35% 5 55.56% 8 57.14% 8 57.14% 13 56.52% A further examination of ownership, with regards to appliances and electronics revealed that respondents from male headed households were in possession to far greater degrees of appliances and electronics usually used as indicators of socio-economic status: 88% of respondents in male headed households indicated possession of Laptop computers, compared to 71% of respondents in female headed households 78% of respondents in male headed households recorded having access to the internet, compared to on 64% of respondents from female headed households 144 Table 5.8.21: Sample Distribution by Ownership of Assets: Appliances / Electronics Asset / Amenity Male Headed Male Computer (Desktop) Computer (Laptop) Internet Television Video Player / Recorder DVD Player Radio Telephone (Land line) Telephone (Cellular Phone) Female Headed Female 2 25% 7 87.5% 6 Total Male Female Sample Total 0% 2 22.22% - 5 35.71% 5 35.71% 7 28.00% 1 100% 8 88.89% - 10 71.43% 10 71.43% 18 72.00% 75% 1 100% 7 77.78% - 9 64.29% 9 64.29% 16 64.00% 8 100% 1 100% 9 100.00% - 13 92.86% 13 92.86% 22 88.00% 4 50% 0% 4 44.44% - 9 64.29% 9 64.29% 13 52.00% 7 87.5% 100% 8 88.89% - 11 78.57% 11 78.57% 19 76.00% 5 62.5% 0% 5 55.56% - 11 78.57% 11 78.57% 16 64.00% 6 75% 0% 6 66.67% - 9 64.29% 9 64.29% 15 60.00% 8 100% 100% 9 100.00% - 13 92.86% 13 92.86% 22 88.00% 1 1 Of note, female headed households were in possession of all forms of communication, save radios. This could have implications in relation to the range of warning systems that would be effective in the instance of a natural disaster for persons in female-headed households. In keeping with the higher standards of living respondents from male headed households enjoyed higher levels of access to private transportation than did respondents from female headed households. As detailed in Table 5.8.22, whereas 90% of respondents from male headed households had access to private transportation (N = 8 / 88.89%) this was only the case for 71% (N = 10) or respondents from female headed households. Table 5.8.22: Sample Distribution by Ownership of Assets: Transportation Asset / Amenity Private transportation Public Transit Male Headed Male 7 87.50% 1 12.50% Female Headed Female 1 Total Male Female Sample Total 100% 8 88.89% 10 71.43% 10 71.43% 18 72% 0% 1 11.11% 5 35.71% 5 35.71% 6 24% Disparities in standards of living for respondents from male and female headed households respectively were also evident in relation to access to sanitation conveniences. As indicated in Table 5.8.23, while all respondents from male headed households indicated that they had access to indoor water-flush toilets at all times, this was only true for 71% of respondents from female headed households. Table 5.8.23 provides additional details: Table 5.8.23: Sample Distribution by Ownership of Assets: Access to Sanitation Conveniences Amenity Liquid waste disposal Indoor water-flush toilets Access Always Never Always Male Headed 66.67% 22.22% 100.00% 145 Female Headed 57.14% 14.29% 71.43% Sample 60.87% 17.39% 82.61% Ninety-six percent of respondents indicated that they had access to piped water within the home, though this applied to a larger proportion of respondents from male headed households (100%) than female headed households (93%). Water was also accessed privately (to which respondents from male headed households also had better access) and through public means 100.00% 90.00% 80.00% 70.00% 60.00% 50.00% 40.00% 30.00% 20.00% 10.00% 0.00% Piped water inside the house Private supply outside the house Public supply 100.00% 44.44% 22.22% Female Headed 92.86% 21.43% 7.14% Sample 95.65% 30.43% 13.04% Male Headed Figure 5.8.7: Sample Distribution by Ownership of Assets: Access to Water Of interest, despite better sanitation conveniences generally, respondents from male headed households indicated less reliable garbage collection than respondents from female headed households, as detailed in Table 5.8.24. Table 5.8.24: Sample Distribution by Ownership of Assets: Access to Garbage Collection Amenity Access Male Headed Female Headed Sample Garbage collection Always 66.67% 92.86% 82.61% Never/ Sometimes 33.33% 7.14% 17.39% Power and Decision Making Access to power and decision making mirrored trends observed in other research sites, where: respondents from male headed households (88.89%) tended to have more access to decision making in the home than respondents in female headed homes (80%) respondents from female headed households indicated higher levels of access to decision making at level of the community (20%) than did respondents from male headed households (11%). 146 Table 5.8.25: Power and Decision Making Site of Decision Making Male Headed Female Headed Sample Household 8 88.89% 12 80.00% 20 83.33% Informal Community 1 11.11% 1 6.67% 2 8.33% Formal Community 0 2 13.33% 2 8.33% Social Networks and Social Capital Not surprisingly, given the trends observed in relation to women’s community involvement, female were far more actively involved in the communities, with 44% of all female respondents belonging to a social group within their respective communities, compared to 22% of male respondents who were similarly involved. Table 5.8.26: Social Networks: Community Involvement Membership Male Female Yes 2 22.22% 7 43.75% No 4 44.44% 6 37.50% Additionally, the types of groups in which males and females enjoyed membership differed. Predominantly, female respondents were involved in church and community service groups, such as The Cancer Society and Friends of the Environment. Interestingly however, only male respondents indicated that they were part of the Red Cross, though not as care givers, but as ambulance drivers. Male respondents indicated membership in groups geared towards the protection of their communities: Volunteer Fire Department and Neighbourhood Watch, Table 5.8.27. Table 5.8.27: Social Networks: Community Involvement – Organisation Membership Organisation Cancer Society Chamber of Commerce Church Friends of the Environment Neighbourhood watch Red Cross Volunteer Fire Fighter Male 1 1 2 2 0.00% 16.67% 0.00% 0.00% 16.67% 33.33% 33.33% Female 2 5 2 22.22% 0.00% 55.56% 22.22% 0.00% 0.00% 0.00% With regards to support systems: Male respondents tended to rely on relatives within their households for physical help, and financial assistance to a greater degree than female respondents relied on their relatives with whom they lived. This could be indicative of understandings of masculinity, which emphasise self sufficiency. Conversely, female respondents relied more heavily on relatives outside their respective households for physical help and financial assistance than they did on relatives within their homes. Interestingly, despite comparatively low male membership in churches, 33% of male respondents indicated that they would seek personal advice from a religious organisation, which, though less than the extent to which female respondents looked to the church for advice was only marginally so. 147 Table 5.8.28: Social Networks: Support Systems Support System Relative (within the household) Physical Help Male Female 55.56% 35.71% Personal Advice Male Female 33.33% 57.14% Financial Assistance Male Female 44.44% 42.86% Relative (outside the household) 33.33% 42.86% 33.33% 28.57% 22.22% 42.86% Family friend 22.22% 21.43% 22.22% 28.57% 0.00% 0.00% Religious Organisation 11.11% 7.14% 33.33% 35.71% 11.11% 14.29% Non-religious Charity 0.00% 7.14% 0.00% 0.00% 0.00% 0.00% Government Agency 0.00% 14.29% 11.11% 0.00% 11.11% 28.57% Use of Natural Resources Other than in the instance of the Sea, Coral Reefs and Agricultural Land respondents generally indicated negligible use of natural resources. Thirty-two and twenty percent of all respondents indicated that the Sea and Agricultural Land, respectively, were very important for their subsistence. The Sea was equally important for recreation. Table 5.8.29: Use and Importance of Natural Resources Resource Sea Coral Reefs Agricultural Land Importance Very Important Somewhat important Not at all important None / Do Not Use Very Important Somewhat important Not at all important None / Do Not Use Very Important Somewhat important Not at all important None / Do Not Use Subsistence 8 4 1 0 3 0 1 0 5 1 1 0 32.00% 16.00% 4.00% 0.00% 12.00% 0.00% 4.00% 0.00% 20.00% 4.00% 4.00% 0.00% Livelihood 1 1 1 0 0 0 1 0 0 0 0 0 4.00% 4.00% 4.00% 0.00% 0.00% 0.00% 4.00% 0.00% 0.00% 0.00% 0.00% 0.00% Recreation 6 6 0 0 2 3 0 0 0 0 0 0 24.00% 24.00% 0.00% 0.00% 8.00% 12.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% When examined on the basis of sex, female respondents seemed more dependent on natural resources for their livelihoods and subsistence: The Sea: 57% of female respondents indicated that the use of the sea was either very or somewhat important to their subsistence, compared to 33% of male respondents attaching similar levels of importance to the resource Agricultural Land: 25% of female respondents noted that the use of Agricultural land was very important to their subsistence 148 Table 5.8.30: Use and Importance of Natural Resources, by Sex of Respondent Resource Sea Coral Reefs Agricultural Land Importance Subsistence Livelihood Recreation Male Female Male Female Male Female Very Important 22.22% 37.50% 0.00% 6.25% 0.00% 37.50% Somewhat important 11.11% 18.75% 11.11% 0.00% 55.56% 6.25% Not at all important 11.11% 0.00% 0.00% 0.00% 0.00% 0.00% None / Do Not Use 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% Very Important 11.11% 12.50% 0.00% 0.00% 11.11% 6.25% Somewhat important 0.00% 0.00% 0.00% 0.00% 22.22% 6.25% Not at all important 11.11% 0.00% 11.11% 0.00% 0.00% 0.00% None / Do Not Use 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% Very Important 11.11% 25.00% 0.00% 0.00% 0.00% 0.00% Somewhat important 11.11% 0.00% 0.00% 0.00% 0.00% 0.00% Not at all important 11.11% 0.00% 0.00% 0.00% 0.00% 0.00% None / Do Not Use 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% With regards to changes observed over the last five years in relation to natural resources, respondents were mainly concerned with the sea and that: Used to get more fish Decline in fish numbers More boats in the marina, water getting dirtier Fish has decreased….have to go further out Consistent with natural resource usage, predominantly it was respondents from female headed households that indicated that they were involved in Agriculture: 149 80.00% 70.00% 60.00% 50.00% 40.00% 30.00% 20.00% 10.00% 0.00% Male Headed Female Headed Sample Yes 27.27% 21.05% 28.00% No 72.73% 52.63% 72.00% Figure 5.8.8: Graph of Involvement in Agriculture Table 5.8.31: Involvement in Agriculture Involved in Agriculture Yes No Male Headed 3 8 27.27% 72.73% Female Headed 4 10 28.57% 71.43% Sample 7 18 28.00% 72.00% Given the structure of households in the sample, particularly in relation to headship and household composition, the importance attached to agricultural land for women particularly in regards to subsistence could pose a serious threat to food security in the instance of a climate related event, such as landslides, flooding or drought. It must be noted as well, that this pattern is not unique to The Bahamas. Also of interest, given women’s reliance on Agriculture is the fact that respondents from female headed households depended on either rain water (40%) or manual irrigation (60%) to provide irrigation for their agricultural lands. In the instance of drought or water shortage therefore, their food security would be threatened as 25% of such respondents indicated that Agricultural Land was very important for their household’s subsistence. 150 Table 5.8.32: Involvement in Agriculture: Irrigation Method Irrigation Method Male Headed Female Headed Sample Rain water 1 25.00% 2 40.00% 3 33.33% Manual Irrigation 2 50.00% 3 60.00% 5 55.56% Mechanical irrigation 1 25.00% 0 0.00% 1 11.11% Fortunately, all respondents indicated that their access to water was always reliable. However, a larger proportion of respondents from female headed households (N = 4 / 40%) indicated that they were aware of water conflicts in their communities over the last five years, than respondents from male headed households (N = 1 / 33%) Table 5.8.33: Involvement in Agriculture: Knowledge of Water Conflict Knowledge of Water Conflict Male Headed Female Headed Sample Yes 1 33.33% 4 40.00% 5 38.46% No 2 66.67% 6 60.00% 8 61.54% Knowledge, Exposure and Experience of Climate Related Events Surprisingly, given past experiences with severe weather systems (See Box 5.8.1), respondents indicated only fair levels of knowledge in relation to Hurricanes, with only 44% of respondents sampled indicating that their knowledge was very good. Of note however, respondents from male headed households had a far more comprehensive knowledge of Hurricanes and Storm Surge, both of which are direct threats for Abaco, than respondents from female headed households. Box 5.8.1: Abaco and the Experience of Extreme Weather Impacts Floyd Devastates Some Islands in Bahamas: Abaco Islands Hardest Hit Bahamas hard hit Tuesday, September 14, by the full blunt of massive Hurricane Floyd over its 700 small, low-lying islands. The eye passed over Abaco at 5 pm AST Tuesday was about 25 miles wide and had taken somewhat over 2 hours to pass, according to one report. There was no power and telephone at that time, but ham radio reports were relayed to message boards. After the storm, assessments started being made and aftermath disaster aid organized with limited resources available. Abaco Islands suffered some of the worst damage. See The Marsh Harbour report notes that "the jewel of The Bahamas has been totally transformed." One death is confirmed at Freetown when a person swam from a flooded car and another death occurred - a person was electrocuted when power was restored after the storm. Two people were reported missing at Abaco Source: http://www.b-v-i.com/NewsLinks/HurricaneFloyd/default.htm 151 Table 5.8.34: Knowledge of Climate Related Events Event Hurricane Flooding Storm Surge Drought Landslides Knowledge SAMPLE MALE HEADED FEMALE HEADED Male Female Total Female Total Poor 4.00% 14.29% 0.00% 12.50% Male 0.00% 0.00% Average 40.00% 14.29% 100.00% 25.00% 57.14% 57.14% Very Good 44.00% 71.43% 0.00% 62.50% 42.86% 42.86% Poor 32.00% 28.57% 100.00% 37.50% 35.71% 35.71% Average 32.00% 42.86% 0.00% 37.50% 35.71% 35.71% Very Good 24.00% 28.57% 0.00% 25.00% 28.57% 28.57% Poor 28.00% 28.57% 0.00% 25.00% 35.71% 35.71% Average 32.00% 14.29% 100.00% 25.00% 42.86% 42.86% Very Good 28.00% 57.14% 0.00% 50.00% 21.43% 21.43% Poor 52.00% 85.71% 100.00% 87.50% 42.86% 42.86% Average 20.00% 0.00% 0.00% 0.00% 35.71% 35.71% Very Good 16.00% 14.29% 0.00% 12.50% 21.43% 21.43% Poor 64.00% 100.00% 100.00% 100.00% 72.73% 72.73% Average 4.00% 0.00% 0.00% 0.00% 9.09% 9.09% Very Good 8.00% 0.00% 0.00% 0.00% 18.18% 18.18% Of interest, despite relatively low levels of knowledge of the technical aspects of the various climate related events, respondents, particularly in relation to Hurricanes, indicated relatively high levels (84%) of knowledge of appropriate responses. In the instance of flooding, just over half of all respondents sampled (56%) were aware of appropriate action to take, without asking for assistance. The situation was even more wanting in the instance of storm surge, where only 52% of respondents were aware of the appropriate responses. Of note, respondents from male headed households consistently were more aware of the appropriate response to climate related events, than respondents from female headed households (see Table 5.8.35). This could have serious implications for the development of adaptation and mitigation strategies for members of these households. 152 Table 5.8.35: Knowledge of Appropriate Response to Climate Related Events Event Hurricane Flooding Storm Surge Drought Landslides Knowledge SAMPLE Yes MALE HEADED FEMALE HEADED Male Female Total 84.00% 85.71% 100.00% No 4.00% 14.29% Don't Know 0.00% Yes Male Female Total 87.50% 100.00% 100.00% 0.00% 12.50% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 56.00% 85.71% 0.00% 75.00% 57.14% 57.14% No 20.00% 14.29% 100.00% 25.00% 21.43% 21.43% Don't Know 12.00% 0.00% 0.00% 0.00% 21.43% 21.43% Yes 52.00% 57.14% 100.00% 62.50% 57.14% 57.14% No 28.00% 42.86% 0.00% 37.50% 28.57% 28.57% Don't Know 8.00% 0.00% 0.00% 0.00% 14.29% 14.29% Yes 40.00% 42.86% 100.00% 50.00% 42.86% 42.86% No 24.00% 28.57% 0.00% 25.00% 28.57% 28.57% Don't Know 24.00% 28.57% 0.00% 25.00% 28.57% 28.57% Yes 12.00% 33.33% 33.33% 16.67% 16.67% No 32.00% 0.00% 0.00% 66.67% 66.67% Don't Know 16.00% 66.67% 66.67% 16.67% 16.67% Appropriate responses to various climate related events are captured in Table 5.8.36: 153 Table 5.8.36: Appropriate Response to Climate Related Events Hurricane Flooding Landslide Batten down house Evacuate area Evacuate area Evacuate if necessary Do not attempt to cross flooded area Pull down hurricane shutters Evacuate to higher ground Clean Drainage Get elevated Put bedding on blocks Use sand bags Drought Store Water Reduce water usage Store adequate drinking water First Aid Supplies Secure assets and head to shelter Store Supplies Stock Food Protect house from flooding Listen for warnings Of interest, despite the passage of Hurricane Floyd fifteen years ago, respondents - when questioned around the perceived risk of climate related events to their households - most often indicated ‘No Risk’ or a ‘Low Risk’ of Hurricanes (72%), Flooding (72%) and Storm Surge (64%). This pattern was observed in both male and female headed households, though respondents from female headed households indicated higher perceptions of risk of Flooding and Storm Surge. Additional details are provided in Table 5.8.37. The perceptions could however be indicative of the fact that over half of the respondents sampled had lived in the community for less than fifteen years, and had not had the experience of Hurricane Floyd and its devastation. 154 Table 5.8.37: Perceived Level of Risk of Climate Related Events: Household Event Hurricane Flooding Storm Surge Drought Landslides Perception of Risk Sample Male Headed Female Headed Male Female Total Male Female Total No Risk 4.00% 0.00% 0.00% 0.00% - 7.14% 7.14% Low Risk 68.00% 71.43% 100.00% 75.00% - 78.57% 78.57% High Risk 16.00% 28.57% 0.00% 25.00% - 14.29% 14.29% No Risk 32.00% 14.29% 100.00% 25.00% - 42.86% 42.86% Low Risk 40.00% 71.43% 0.00% 62.50% - 35.71% 35.71% High Risk 16.00% 14.29% 0.00% 12.50% - 21.43% 21.43% No Risk 36.00% 42.86% 0.00% 37.50% - 46.15% 46.15% Low Risk 28.00% 42.86% 100.00% 50.00% - 23.08% 23.08% High Risk 12.00% 14.29% 0.00% 12.50% - 18.18% 18.18% No Risk 32.00% 42.86% 100.00% 50.00% - 30.77% 30.77% Low Risk 52.00% 57.14% 0.00% 50.00% - 69.23% 69.23% High Risk 0.00% 0.00% 0.00% 0.00% - 0.00% 0.00% No Risk 64.00% 100.00% 100.00% 100.00% - 100.00% 100.00% Low Risk 0.00% 0.00% 0.00% 0.00% - 0.00% 0.00% High Risk 0.00% 0.00% 0.00% 0.00% - 0.00% 0.00% Perceptions of risk were better understood when measured against respondents’ experience of climate related events. One third of respondents from male headed households indicated that, within the last five years, hurricanes had a high/serious impact their livelihoods compared to only 15.38% of respondents from female headed households who were similarly impacted. Table 5.8.38: Level of Impact from Hurricanes and Flooding on Respondents’ Livelihoods (2006-2011) EVENT Hurricane Flooding IMPACT SAMPLE MALE HEADED FEMALE HEADED Male Female Total Male Female Total No Impact 52.00% 40.00% 100.00% 50.00% 76.92% 76.92% Medium Impact 8.00% 20.00% 0.00% 16.67% 7.69% 7.69% High Impact 16.00% 40.00% 0.00% 33.33% 15.38% 15.38% No Impact 52.00% 40.00% 100.00% 50.00% 90.91% 90.91% Medium Impact 16.00% 60.00% 0.00% 50.00% 9.09% 9.09% High Impact 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% Similar to patterns observed in other research sites, respondents consistently reported higher levels of risk to climate related events for their respective communities than they did for their own households. The disparity (between perceived risk at the household and community level) was greatest in the instance of High Risk of Hurricane, for which 16% of respondents indicated a High Risk for their households, compared to 40% of respondents who perceived a High Risk for their community. 155 Landslides High Low No Drought High Low Flooding Storm Surge No High Low No High Low Hurricane No High Low No 0 0.1 0.2 0.3 0.4 Household 0.5 0.6 0.7 Community Figure 5.8.9: Perceptions of Household and Community Risk of Climate Related Events Table 5.8.39: Perceptions of Household and Community Risk of Climate Related Events Event Hurricane Flooding Storm Surge Drought Landslides Perception of Risk Household Community Risk Difference None Low High None Low High None Low High None Low High None Low High 4.00% 68.00% 16.00% 32.00% 40.00% 16.00% 36.00% 28.00% 12.00% 32.00% 52.00% 0.00% 64.00% 0.00% 0.00% 0.00% 20.00% 56.00% 4.00% 36.00% 40.00% 16.00% 20.00% 40.00% 28.00% 28.00% 12.00% 32.00% 16.00% 4.00% 4.00% 48.00% -40.00% 28.00% 4.00% -24.00% 20.00% 8.00% -28.00% 4.00% 24.00% -12.00% 32.00% -16.00% -4.00% Similar to patterns observed in relation to perceived risk to respondents’ households, respondents from male headed households indicated higher levels of risk to their community in the instance of Hurricane. Of interest, despite perceptions of their households being at lower risk of Storm Surge, respondents from male headed households believed that their community was at higher risk for Storm Surge, than the communities of respondents from female headed households 156 Table 5.8.40: Perceived Level of Risk of Climate Related Events: Community Event Hurricane Flooding Storm Surge Drought Landslides MALE HEADED FEMALE HEADED Perception of Risk SAMPLE No Risk 0.0% 0.00% 0.00% 0.00% 0.00% 0.00% Low Risk 20.0% 0.00% 0.00% 0.00% 41.67% 41.67% High Risk 56.0% 100.0% 100.0% 100.0% 58.33% 58.33% No Risk 4.0% 0.00% 0.00% 0.00% 7.69% 7.69% Low Risk 36.0% 50.00% 100.0% 57.14% 38.46% 38.46% High Risk 40.0% 50.00% 0.00% 42.86% 53.85% 53.85% No Risk 16.0% 16.67% 0.00% 14.29% 25.00% 25.00% Low Risk 20.0% 16.67% 100.0% 28.57% 25.00% 25.00% High Risk 40.0% 66.67% 0.00% 57.14% 50.00% 50.00% No Risk 28.0% 40.00% 0.00% 33.33% 45.45% 45.45% Low Risk 28.0% 60.00% 100.0% 66.67% 27.27% 27.27% High Risk 12.0% 0.00% 0.00% 0.00% 27.27% 27.27% No Risk 32.0% 33.33% 33.33% 70.00% 70.00% Low Risk 16.0% 66.67% 66.67% 20.00% 20.00% High Risk 4.0% 0.00% 0.00% 10.00% 10.00% Male Female Total Male Female Total 5.8.6. Adaptation and mitigation strategies Alarmingly, despite perceptions of risk, only four respondents indicated that they had made any preparations in order to cope with the possible effects of climate change in the future. Not unlike other research sites, however these preparations focused on the adoption of a Green Approach and Infrastructural improvements. Green approach Respondents indicated that they had made changes in their lifestyles, which could have a positive impact on the incidence of climate change. Such changes included: Recycling and garbage separation Recycle water Composting Infrastructural improvements Additionally, respondents indicated that they had made infrastructural improvements to their homes, which could prevent or minimise damage in the instance of a climate related event. These included: Reroofed house and changed windows and doors Built house hurricane proof Respondents also believed that personal health and fitness was critical, and could increase levels of preparedness during a climate related event. 157 Not surprisingly, respondents reported being most affected by Hurricanes and Flooding within the last five years. In the instance of Hurricanes, respondents were most likely to reduce expenses and borrow money as a strategy of adaptation; while in the instance of Flooding, respondents were most likely to sell assets. Table 5.8.41: Adaptation Strategies Employed Event Adaptation Activity Flooding Hurricane Male Selling Assets Borrowing Money Seeking Assistance Reducing Expenses Starting a New Livelihood Activity Decreasing Household Size Selling Assets Borrowing Money Seeking Assistance Reducing Expenses Starting a New Livelihood Activity Decreasing Household Size Male Headed Female Total 2 1 3 Female Headed Male Female Total Sample 2 2 3 2 2 5 2 Though few respondents were able to specify risks, predominantly those respondents who identified risks perceived issues of the economy as the greatest risk to their economic livelihood over the next five years. Table 5.8.42: Perceptions of Risk to Community Economic Livelihoods Female Respondents Male Respondents Recession Severe weather events US Depression Affecting Tourists Visiting Abaco Hurricanes Loss Of Business In Tourism Industry Slow economy Bahamas is too heavily dependent on foreign resources Changing industry Poor Economy Inflation Loss Of Income Global economy Hurricanes 3 Values too small to be represented as percentages. Figures appear as N values 158 6. RECOMMENDED STRATEGIES AND INITIAL ACTION PLAN The following recommendations have been developed in consultation with national and community stakeholders through the use of various participatory tools. They support the main objective of the CCCRA which is to provide a scientific (physical and social) basis to support decision making, policy and planning by governments, communities and the private sector that increase resilience of economies and livelihoods to climate change. The recommendations are also consistent with the strategies and programmes identified in the Climate Change and the Caribbean: A Regional Framework for Achieving Development Resilient to Climate Change endorsed by the CARICOM Heads of State. Recommendations are presented as an initial plan of action with a brief description of the intervention, the national and/or local stakeholders involved and the expected benefits, and are categorised according to short-, medium- and long-term interventions. All recommendations are considered ‘No-regret’ or ‘Lowregret’ strategies. 'No-regret' strategies seek to maximise positive and minimise negative outcomes for communities and societies in climate-sensitive areas such as agriculture, food security, water resources and health. This means taking climate-related decisions or actions that make sense in development terms, whether or not a specific climate threat actually materialises in the future. ‘Low-regret’ adaptation options are those where moderate levels of investment increase the capacity to cope with future climate risks. Typically, these involve over-specifying components, for example installing larger diameter drains or hurricane shutters at the time of initial construction or refurbishment (World Bank, 2012). Each one or a group of recommendations can be further developed into a concept note or project proposal with a full action plan, with much of the supporting information found in this document. Earlier sections of this report have provided the rationale for recommended interventions based on the vulnerabilities and adaptive capacity identified for key sectors. 6.1. Cross-Cutting Actions The following activities must be undertaken in the short-term, across a number of sectors, to ensure the success of the more specific and practical recommendations presented in later sections. These cross-cutting actions provide the necessary foundation, in terms of information and data, development policy, awareness raising and cross-sectoral linkages from which wider actions to combat the threat of climate change on future development can be legitimized. With this foundation, future actions and the allocation of resources to adaptation and mitigation activities are more easily justified because decisions can be based on current information, as well as common goals and a widespread understanding of the severity of the threat. 6.1.1. Implementing and Strengthening Data Collection, Monitoring and Evaluation Activities It is evident in a number of sectors that the lack of data and inadequate monitoring and evaluation procedures inhibit the ability of the relevant agencies to plan and manage a number of resources. Monitoring and evaluation is essential if progress is to be demonstrated. By collecting and sharing the information gathered, Section 6.1.3, it is possible to gain even greater support amongst stakeholders. Specific areas and suggestions for data collection, monitoring and evaluation include: 159 Update the census data and broaden the data collected to ensure that all vulnerable groups are accounted for to assist with emergency response planning. During the 2004 impacts from Hurricanes Frances and Jeanne it was identified that underestimations of population numbers in many settlements made shelter, evacuation and relief planning more difficult (Jones, 2005). As such, collection of census data for all the islands is recommended so that resource needs can be properly addressed. This is especially pertinent to islands with large numbers of illegal immigrants who would not normally be captured by official statistics, but who are likely to be amongst the most vulnerable members of the society. Develop an in-depth water quality monitoring programme, particularly for non-registered private wells. Indiscrimate abstraction is a concern associated with private wells that are unregistered and therefore unmonitored, with a strong likelihood of shrinking freshwater lenses and saline intrusion as a result. In light of these concerns, a recommendation coming out of The Bahamas Initial National Communication to the UNFCCC is that “A programme of water quality monitoring for fresh, saline and hyper-saline waters is needed in order to assess their vulnerability to sea level rise” (BEST, 2001). The implementation of this programme should be actively pursued as it is not fully in effect, insofar as research has shown. Assessments focussing on the links between health, tourism and climate change: There is a need for assessments to understand the possible links between the epidemiology of diseases in The Bahamas with climate change using local climate data. This follows the policy directive identified in The Bahamas Climate Change Policy (2005) –which suggests a need to “Conduct the necessary research and information-gathering in order to strengthen the basis for sound decision-making” (NCCC-BEST, 2005). Additionally, Exit Surveys can be conducted to investigate potential health concerns, and to determine the perception of tourists on the relationships between travel, health and climate change in the Bahamas. These assessments can lead to a better understanding of the implications for tourists entering the region contracting diseases, particularly communicable diseases; and the likelihood of destination substitution. Data collection, research, monitoring and evaluation in the Health Sector: A greater effort is required to have local data better analysed, peer reviewed and published. This approach will allow for validation and for developing a “culture” for systematic review and the conversion of knowledge into policy and planning. This is also highlighted in The Bahamas Initial National Communication to the UNFCCC, noting that “there are many gaps in existing data and information, a lack of tools to assess the physical, social and economic impacts on the most vulnerable sectors of the economy” where health was identified among these most vulnerable sectors (BEST, 2001). Increased epidemiological monitoring is also recommended due to the expected increases in the incidence of tropical diseases as a result of climate change (BEST, 2001). Furthermore, one of the Climate Change Policy directives is to “Promote health-related research and information-gathering in order to strengthen the basis for sound decision-making” (NCCC-BEST, 2005). Develop computer models of groundwater flow to account for the impact of sea-level rise on groundwater levels. Numerical models of ground-water have been used elsewhere to establish how sea-level rise impacts on aquifer thickness and saline intrusion (e.g. Bobba, 2002). Due to the particular vulnerability of aquifers in The Bahamas, these models should be developed urgently in order to effectively mitigate the effects of climate change on freshwater resources. This recommendation is broadly in line with those of The Bahamas National Report on the Implementation of the UNCCD resulting from an ICZM Workshop, where it was recommended that there should be the “Establishment of prediction models for sea-level rise and coastal impacts” (BEST, 2006c). 160 Inventory existing coastal protection defences, as well as their design range and maintenance status. This analysis of the vulnerability of tourism infrastructure was hindered by inadequate data on existing coastal structures, their type, design specifications and expected lifetime. Future assessments of the costs and benefits of coastal protection require this information to provide a more accurate estimate of the resources required for SLR adaptation. 6.1.2. Mainstreaming Climate Change in Policy, Planning and Practice Due to the time scales required for the removal of GHG from the atmosphere and the thermal inertia of the oceans, the effects of prior emissions will ensure that climate change impacts will persist for more than a millennium (Areces-Mallea, et al., 1999; MHLE, 2005). It is therefore vital to not only recognize the vulnerabilities, but to anticipate and prepare for future implications. More than implementing a technology or building a structure, mainstreaming climate change becomes a critical element of adaptation if it is to be successful. It involves awareness raising, information sharing, planning and design, implementation, and perhaps most importantly, evaluation (Linham & Nicholls, 2010). Noting gaps or room for improvement in some areas, the following recommendations are outlined for consideration by the respective stakeholders in addressing the issue of mainstreaming climate change: Develop and implement sustainable tourism plans with more attention paid to disaster risk reduction and climate change adaptation: Tourism infrastructure is mainly concentrated in high risk coastal zone areas. Storm surge, SLR and coastal erosion will degrade the tourism product (e.g. beach, coral reef) and climate change in general threatens to destabilise tourism-based economies like that of The Bahamas. Therefore, the integration of feasible and flexible adaptive and risk reduction strategies is paramount to building the resilience of the large cross-section of tourism players, and the tourism sector at large to the impacts of climate change. Collaboration and support from hotels and tourism-related enterprises is needed to successfully achieve these goals, and pertinent partners will include the Ministry of Tourism and Aviation, the Bahamas Hotel and Tourism Association, NEMA and the BEST Commission (Ministry of Environment). Integrate SLR considerations in local land use and development planning, with special consideration for vulnerable coastal areas and tourism hot-spots to reduce or avoid impacts: This will require national-level consultation with land use management and tourism stakeholders – in particular, BEST in the Ministry of Environment, Ministry of Public Works and Transport, Ministry of Tourism and the Town Planning Committee – to utilise the broad scale results of this study and higher-resolution local scale studies to guide reviews and updates of official land use and tourism master plans. Addtionally, the Government of the Bahamas should: Commence coastal adaptation planning early, by working with local stakeholders on the development of coastal protection systems. The detailed local level planning for coastal protection needs to begin within the next 15 years if the environmental assessments, financing, land acquisition, and construction is to be completed by mid-Century, so that the economic benefits of damage prevention are optimised. Consider the development of official SLR risk maps to further guide future coastal development. Assess all projects that involve building, maintaining, or modifying infrastructure in coastal areas at risk from SLR to ensure that the new developments take the most recent estimates of SLR from the scientific community into account. The cost of reconstruction after flood damage is often higher than modifying structures in the design phase. 161 Further to policy directives indicated in the Climate Change Policy (NCCC-BEST, 2005) under Financial and Insurance Sectors, work with insurance companies to develop policies that take into account the unique risks faced by coastal areas which will enable landowners to properly assess coastal protection and retreat options. Provide subsidies for appropriate adaptation measures that will result in long term economic benefits for both the tourism sector and the country as a whole. Mainstream gender and poverty into climate change and related policies: Challenges of poverty reduction and climate change need to be addressed in a coherent and synergistic way that draws on the lessons and progress in development policy and particularly the recognition of the importance of gender differences if policies are to be sustainable, effective and benefit all sectors of the population. Achieving sustainable and effective responses to climate change therefore requires attention to the underlying power relations and gender equalities which create vulnerability both to poverty and climate hazards, and a more gendersensitive approach which takes into account and evaluates the differing and potentially inequitable access which men and women have to economic, ecological, social and human resources, institutions, governance and infrastructure. Although gender and poverty considerations are not specifically recognised within the National Climate Change Policy, the development process of The Bahamas National Gender Policy has included discussions on gender-specific roles in disaster management and differential vulnerabilities (NCCC-BEST, 2005; Cadet, 2011; The Eleutheran, 2011). Jointly supported initiatives (listed below) with participation from entities such as The Bureau of Women’s Affairs, BEST and NEMA can be implemented in support of the forthcoming Gender Policy and in light of the impacts of climate change on men and women: Provide gender disaggregated data and evidence on the impacts of climate change to show how men and women are being affected differently by climate-related changes, whether direct impacts such as extreme weather conditions or disasters, water shortages, food insecurity or changes in land use or indirect secondary impacts such as access to energy, changes in employment opportunities, sectoral impacts (such as in agriculture, tourism and fisheries), and increased migration or conflict. Conduct a gender- analysis on the social impacts of current policies on adaptation and mitigation and how they may benefit or adversely affect men and women in different ways. Even when policies have clear gender-related statements or objectives, rarely do they have the mechanisms in place to integrate gender at programme level or to measure the impact of the policies from a gendered perspective. Economic cost-benefit analyses often overlook the social implications and there is a lack of methodology for measuring the gendered impacts of current policies. Improve institutional capacity in key agencies to implement gender sensitive policies or gather gendered data. This is needed due to the lack of gender experts involved in policy design and implementation around climate change; the lack of awareness or gender training of key staff in ministries and statistics offices responsible for climate change data and policies; and a general disconnect between the reality of poor people’s (and particularly under-represented women’s) lives and policy makers. 162 6.1.3. Building and Strengthening Information Sharing and Communication Systems and Networks It is essential that a tri-partite approach is taken when developing the full action plans for the recommended strategies given. A number of relevant studies have been undertaken in the Bahamas in the past, but the recommendations are frequently not implemented for a number of reasons, lack of resources being commonly cited. By establishing a framework by which government, private sector entities and civil society can work more effectively together, the probability of implementation and widespread ‘buy-in’ to the numerous initiatives increases. It is not possible for any one group to achieve the changes that are needed alone and government must ensure that national policy goals and challenges faced are shared so that solutions can be discussed and negotiated between groups. Gaining support for initiatives is also facilitated through education and awareness, Section 6.1.4. The data and information produced through the various initiatives described in Section 6.1.1 must be communicated and made available through networks in each sector and across sectors. This is especially true for the idea of a green economy that will require the restructuring of economic systems towards establishing a low-carbon society. It is thus important to document and communicate progress to create positive opinion in large parts of society. National level data should be made available to regional clearing houses where they exist and, where they don’t exist, thought should be given to establishing them. Some areas for consideration include: Epidemiology data with climate signals: Moreno (2006) has suggested the establishment of a central clearing house containing information on diseases whose transmission is modified by climate change as well as relevant environmental data. The Caribbean Epidemiology Centre (CAREC) is one regional institution that has summarised such statistics, but even this organisation has noted that incomplete data is given from various countries and identified The Bahamas among them in its Annual Report for 2008 (CAREC, 2009). Therefore more detailed information especially presenting temporal and environmental and climatological data will be of benefit to researchers. It is also noted that such statistics might be politically sensitive, resulting in some resistance to this recommendation, Moreno (2006). Other regional institutions that might be suited to housing such a repository include CEHI, CCCCC and UWI. Biodiversity data: The creation of a user-friendly online database, an e-repository, for the region’s biological data will benefit not only environmental managers but all other economic sectors that rely on natural resources (agriculture, fisheries, tourism). In order to address the limited human resources that constrain data collection, Section 6.1.1, the e-repository will take the form of a wiki allowing the database to be populated by researchers, students, eco-tourists and the general population. The regional e-repository for biodiversity will: o Integrate biodiversity research facilities in the region o Facilitate the sharing of data o Encourage public participation in data collection and monitoring The Caribbean Marine Atlas is one example of a suitable online database that could be expanded and further developed to include this type of information. 163 6.1.4. Climate Change Education and Awareness The previous section on communication and networking relates directly to the sharing of information to assist decision making and planning. However, without education and awareness raising on climate change and the likely impacts of climate change on specific sectors the information shared will be meaningless. The research in a number of sectors highlighted specific areas that need additional efforts in education and awareness: Disaster risk reduction and emergency preparedness at the household level; Water conservation, rain water harvesting and other collection techniques for households, as well as water treatment; The importance of energy and the role of emissions in climate change, specifically knowledge about energy, its generation, and the economic and environmental importance of energy; Climate-related diseases and health promotion, with particular emphasis on preventable diseases or conditions such as malaria and diarrhoea, and the development of linkages with the agricultural sector to reduce malnutrition and improve food security; Impacts and costs of SLR to communities, but also to the public and private sectors, because of these damages have implications for livelihoods and sustainable development. Due to the interrelated nature of some environmental issues and natural processes collaboration between different sectors can reinforce learning amongst the general public while also providing synergistic benefits for resources. The International Federation of the Red Cross has a strong history of effective work with community capacity building and disaster risk reduction activities. NEMA, by working with the Red Cross, can develop a culturally appropriate communication plan that will not only communicate the vital information Bahamians need to reduce their vulnerability, but be in a format that individuals will listen to and take note of. For example, the use of mobile phone technology can allow vital information to reach individuals during emergency situations. Research at the community level revealed that not all persons have cell phones, so this technique requires complementary messages to be transmitted through more traditional mediums, radio and television. In addition, building awareness of the issues mentioned above can be better embraced when the message is conveyed by a respected figure. Children and youth have been found to be good transmitters of basic environmental information. Education and awareness initiatives should not only be limited to locals, but include visitors to The Bahamas as well. Short videos encouraging visitors to be more conscious of their impacts on the fragile ecosystems of the islands can be shown during in-bound international flights as In-flight Entertainment (IFE). The films will focus on positive actions that visitors can take to minimise negative impacts on the environment by decreasing energy and water consumption and wastage, and by taking necessary precautions during marine based recreation (diving, snorkelling, boating). With regard to the impacts of disasters on tourism specifically there needs to be an improved communication mechanism, whether through NEMA or the Ministry of Tourism, to ensure that the world tourism market is informed as quickly as possible of the extent of the damage after an event. This would reduce any misunderstanding that since one island has been impacted then all islands in The Bahamas must be effectively closed. Similarly, tourists must be well-informed of preventative measures to take to avoid health risks such as dengue and heat-stress, and continued health education and promotion campaigns will be crucial in promoting long term disease prevention. 164 6.2. Water Quality and Availability Water resources in The Bahamas are particularly vulnerable to climate change, especially from sea-level rise leading to an increased risk of salinisation of aquifers. The country is well advanced in the planning of adaptation measures for water resources under climate change, however its geographic nature makes the implementation of these measures particularly challenging. There are some clear areas which can be addressed, particularly in areas of water use efficiency, water recycling schemes and continued developments to supply structures. The following recommendations are made, which anticipate input in most cases from the Bahamas Water and Sewerage Commission, but also consider other private (e.g. Wastewater treatment facilities) and community entities as key players or stakeholders: Short Term Actions Assess the possibility of broad scale implementation of localised waste water recycling schemes and legislation, including for agricultural irrigation. While some resorts do recycle treated wastewater for irrigation purposes, generally wastewater is discharged into disposal wells (Cox et al., 2005). Reducing the required fresh water for household and hotel use would alleviate pressure on groundwater systems. Some areas that demand considerable quantities of water include golf courses and the tourism industry particularly through cruise ships. Waste water from domestic and tourism use can be recycled to produce irrigation water, either for agriculture or the irrigation of golf courses. This would alleviate the pressure on groundwater and reduce the need for desalination. Medium Term Actions Develop pilot projects to assess artificial recharge of aquifers, and conduct feasibility studies explore the possibility of additional projects. As suggested in the Initial National Communication on Climate Change to the UNFCCC, injection of water into aquifers could buffer the effects of saline intrusion. Aquifers act as large reservoirs of fresh water which reduce vulnerability during periods of drought. Upstream injection increases recharge volumes and downstream recharge increases the barrier between saline and freshwater. Maintaining sufficient groundwater recharge would reduce the risk of saline intrusion and help to maintain water quality. The source of water used for artificial recharge should be selected carefully to avoid issues with nitrates entering groundwater, and such an initiative could be led by the Bahamas Water and Sewerage Corporation, as well as the Department for Environmental Health Services. Other players such as the BEST Commission can play key roles. Consider the development of mechanisms to facilitate Integrated Water Resources Management (IWRM). The basis of IWRM is that different users of water are interdependent: IWRM encourages a move away from a uni-sectoral water management approach to one which allows participatory decision-making including different user groups. Such an approach allows an equitable management of water resources, which will be particularly important with declining water resources under climate change. The main components of IWRM are: managing water resources at the lowest possible level (at the river basin or watershed scale); optimising supply and managing demand; providing equitable access to water resources through participatory and transparent governance and management; establishing improved and integrated policy, regulatory and institutional frameworks; utilising an inter-sectoral approach to decision making; integrating management means that we receive multiple benefits from a single intervention. IWRM requires that platforms be developed to allow different stakeholders to work together. The Bahamas has already engaged in some components of IWRM through participation in the Integrated Watershed and Coastal Areas Management (IWCAM) Programme, with demonstration projects at Elizabeth Harbour in Exuma, as well as Andros Island. The outcomes and lessons learnt from these demonstrations 165 can help to guide the development of a national IWRM plan. As an inter-sectoral initiative, there are many relevant stakeholders, but principal involvement would come from the Bahamas Water and Sewerage Corporation, BEST, and also the Ministry of Tourism – a sector with high freshwater demand but few resource management schemes at the hotel or destination level. Institutional and legislative frameworks at all stages of water planning and management should be revisited, assessed and, if necessary, amended to allow the implementation of IWRM. Increase efficiency in the water metering system and undertake broad consultation on the updating of pricing structure of water to encourage water conservation. The price for water on The Bahamas has not been raised since 1999 (Spencer et al., 2010), yet the vast majority of households are connected to metered piped infrastructure (PAHO, 2007). Water rates should be updated to encourage water conservation, particularly for businesses such as hotels which have been found generally to lack sufficient sustainable water management practices (Edwards, 2004). Assess the possibility of implementing culvert drainage through sea-wall embankments. High sea-walls currently result in trapped water during flood events (ICFC, 2002), exacerbating flooding and increasing risk of groundwater contamination (Buchan, 2000; ICFC, 2002). Culvert drainage structures which allow flow only in the seaward direction could be installed to address this problem. Long Term Actions Undertake broad consultation over the licensing of abstraction and control of land development and use developed computer models of groundwater flow to account for the impact of changes on groundwater levels. Licensed abstraction would allow much closer control over groundwater levels and enable mitigation of potential impacts of drought and sea-level rise. However, in order for this to be effective, detailed information on the impacts of licensed abstraction on groundwater levels would be required. Groundwater modelling will provide this information in conjunction with existing groundwater information networks. Such legislation should focus on abstraction from private wells, which is the dominant source for water supply yet lacks sufficient regulation (Spencer et al., 2010). 6.3. Energy Supply and Distribution Short Term Actions Continue with the development of the National Energy Policy and define specific national action plans to reach policy targets: The Government of the Commonwealth of the Bahamas has acknowledged the urgent need to reduce emissions, reduce dependency on fossil fuels and increase energy supply from renewable sources, in light of the social, economic and environmental benefits that can be gleaned. The National Energy Policy will be a pivotal instrument in guiding this transition, and the Government has demonstrated its resolve to develop a meaningful and comprehensive policy tool. Once national policy goals have been agreed upon, an action plan to avoid energy use, increase efficiency, and to use a greater share of renewable energy sources needs implemented over the coming years with strong commitment, in order to meet policy targets. This plan needs to combine savings potentials (energy management; cf. Gössling 2010) as well as technological restructuring. Valuable information on the potential of wind- and solar power can for instance found in Bishop and Amaratunga (2008), Chen et al. (1990), Chen et al. (1994), and Headley (1998). While the National Energy Policy Committee, and the BEST Commission will contribute to policy development, it will rest on agencies across all sectors to play their part in meeting targets. 166 Create incentives for low-carbon technology use: Further to efforts by the Government of the Bahamas to promote energy conservation and efficiency – the introduction and wide promotion of energy star quality products and waiving of duties on energy efficient products, the expansion of low-carbon technology use needs to be further supported through other incentive structures. An ecological tax reform, for instance, could shift tax burdens from labour to energy and natural resources, and thus “reward” users of low-carbon technology. Other incentives could include financial support, reward mechanisms or awards. There is also a range of examples of bonus-malus4 systems in tourism and transport, rewarding those choosing to pollute less. Medium Term Actions Development and integration of quality training programmes related to renewable energy technologies within the professional training environment: The pursuit of renewable energy technologies (RETs) in the Bahamas may be restricted by the lack of technical skills for dealing with RET equipment or supplies. As such, a comprehensive training programme should be provided through the Bahamas Technical and Vocational Institute, to develop and maintain a cadre of certified technicians and engineers who are competent in all aspects of RET handling, installation, repair and possibly production. Adjust energy pricing to influence energy use and emissions: Taxes, emission trading and other economic instruments are needed to steer energy use and emissions, conveying clear, long-term market signals. It is important for these economic instruments to significantly increase the costs of fossil fuels and emissions. Price levels also need to be stable (not declining below a given level), progressive (increasing at a significant rate per year) and foreseeable (be implemented over longer time periods), to allow companies to integrate energy costs in long-term planning and decision-making. Long Term Actions Use regulation to stimulate changes and adaptation: While carbon pricing is the most efficient tool to stimulate behavioural change and changes in production, market failures justify additional policy intervention (see also Francis et al. 2007). Energy-intense forms of tourism and transport as well as behavioural change are difficult to steer through rising energy costs can be addressed through other measures, such as speed limits, bans of jet skis, quads, or other motorised transport at the destination level. Moreover, regulation can include building codes and other minimum standards to reduce emissions, also with a view on adaptation. Actual enforcement of existing environmental regulation needs to be ensured. 6.4. Agriculture and Food Security Medium to Long Term Actions Assess the possibility for creating better food security through the expansion of local agricultural production and reducing food imports. A fundamental solution to the high food prices and high levels of food imports in The Bahamas is to increase local food production and consumption. Prime Minister of The Bahamas, Mr. Hubert Ingraham, in his March 2011 address to the Third National Agribusiness Expo, acknowledged the importance of encouraging urban households to take greater responsibility for their food choices. 4 Business arrangements which alternately reward (bonus) or penalise (malus) for specific actions. 167 Records from The Bahamas Ministry of Agriculture and Marine Resources indicate that there are substantial acreages of arable land available for food production, in excess of 245,737 acres. Of these parcels, 134,000 acres are located in Andros; 61,737 acres in Abaco; and 30,000 acres in Grand Bahama. Some of this land is still untapped, or has fallen out of production. CARIBSAVE recommends two projects for improving food security and mitigating against climate change impacts in The Bahamas. The first programme feeds into the current national drive to invigorate farm activities on the Family Islands and the need to make use of agricultural lands that are currently lying fallow. Prior research on Bahamas’ top thirty crops (Minns, 2010) can be utilised as a basis for setting up demonstration farms on the outer islands. The main objective here is to identify which crops are suited for cultivation on the different types of islands (coppice vs. pine), and increase medium to large scale commercial production in the outer islands for supply to the hotel sector and for domestic consumption. Farmers with small agricultural holdings with a desire to expand, and new agripreneurs who have recently taken advantage of the land lease incentives stand to benefit from this initiative. The expected results are increased food production, increased local consumption, and a measured decrease in the quantity of food imported. This project will require participation and support from key government agencies, including the Department of Agriculture in the Ministry of Agriculture and Marine Resources. Develop a structured programme to help farmers’ associations diversify and strengthen their agricultural practices for climate change adaptation and mitigation. Agricultural initiatives that are suited to climate change mitigation so far appear to be on an individual basis and somewhat fragmented due to geographical limitations. The objective here is to target organised groups of farmers on all the islands, share best practices in local agriculture, and introduce them to new agro-technology. To this end, a series of climate change workshops, in addition to the development of pilot projects on agricultural mitigation activities for each farmers’ group, can help to promote sustainable agricultural practices. Technical assistance from FAO, IICA and The Bahamas Ministry of Agriculture and Marine Resources will be needed to help build technological and professional capacity within these farmers’ organisations. Another recommendation is a “Youth and Technology in Agriculture” project. The aim of this programme is to encourage youth involvement in adaptive agriculture by harnessing their knowledge and affinity for new technologies to support sustainable farming. One aspect of this project is the revision and revival of the agriculture curriculum in schools and introduction of modules that show students how to use Geographic Information Systems (GIS), Global Positioning Systems (GPS) and Remote Sensing to provide solutions to agriculture. The idea is to make the agriculture attractive in the eyes of the younger generation and encourage entrepreneurship and innovation to tackle the issue of food security. Another aspect of this program should involve greenhouse technology which has stimulated youth interest and agripreneurship in other OECS countries. 6.5. Human Health Medium Term Actions Build up a supply of public health resources for the surveillance, prevention and control of Vector Borne Diseases, and investigate the feasibility of adopting the Integrated Vector Management (IVM) Programme approach developed by WHO: Gubler, (2002) has stated that the resurgence of diseases, and particularly vector borne diseases has been “compounded by complacency about infectious diseases in general and vector-borne diseases in particular, and a lack of public health resources for research, surveillance, prevention, and control programs”. Vector borne diseases of greater concern that have a 168 climate change signal in The Bahamas include Dengue Fever and Malaria. The IVM Programme may prove to be a useful tool for The Bahamas, and is built on five components (WHO, 2007): 1. 2. 3. 4. 5. Advocacy, social mobilisation and legislation Collaboration within the health sector and with other sectors Integrated approach Evidence-based decision-making Capacity-building The Caribbean region, as part of the WHO Region of the Americas has the potential to chart a course that includes IVM for diseases that have a climate change signal in particular. For The Bahamas specifically, the Department for Environmental Health would be the key player in the IVM programme. However, limited human capacity and attention to evaluation are two major challenges that hamper the effective utilisation of IVM across the region, and would need to be addressed in order to advance any IVM programme. Exploring the possibility of establishing Early Disease Warning Systems: Early Disease Warning Systems that considers temperature signatures would be helpful, however these must be validated (Amarakoonet al., 2006) and be site-specific (Ebi et al., 2006). Other signatures could be further researched such as the use of the pre-seasonal treatment treatment for mosquito and dengue control (Chadee, 2009). This can be a practical way to execute effective disease control (Ebi et al., 2006). This is in keeping with The Bahamas National Policy for the Adaptation to Climate change policy objective “Explore and access mitigation and adaptation technologies currently under development, and yet to be developed, to meet the development objectives of The Bahamas” (NCCC-BEST, 2005). The reduction of morbidity and mortality as a result of physical injuries during natural disasters can be curbed through strengthening of existing disaster prevention measures. (See also Comprehensive Disaster Management Recommendations). Also of importance is post-disaster sanitation to curb the spread of foodand water-borne diseases as infrastructure that affects utilities is damaged, e.g. water supply in periods when it is most needed. These are relevant in the context of tourism because the perception of visiting a safe country is important to tourists, so attempts at achieving this will not only be valuable to the population but also to the tourism sector. 6.6. Marine and Terrestrial Biodiversity and Fisheries Medium Term Actions Increase simultaneous beach protection activities for improved results on the reduction of erosion damages. A number of factors have been identified as contributors to beach erosion; therefore combating the issue requires a comprehensive approach. The following recommendations have already had success in some islands in the Caribbean, including The Bahamas, and will be most effective if the strategies are implemented simultaneously. Removal of the invasive casuarina trees along beaches and replanting a coastal forest of deep rooting sea grape and almond trees. Dune fencing using permeable wooden fences along the seaward face of sand dunes does not prevent erosion against high wave energy but does encourage sand dune formation. Beach nourishment may be needed in areas of severe erosion however careful analysis must be conducted prior to embarking on replenishment projects. The type and source of sand as well as the timing of nourishment should be done in such a way so as to have minimum impact on the 169 nesting and feeding habits of sea turtles, shore birds and other creatures that inhabit marine and coastal areas. Setbacks for roads that are too close to the shoreline. Rerouting roads so that they are further away from the shoreline will allow for natural sand accretion and protect coastal habitats and infrastructure Offer training and support for fishers to be better stewards of the marine environment: Research has demonstrated that suitable management interventions (e.g. marine reserves, fisheries regulations) can increase the resilience of coastal ecosystems to the impacts of climate change. Marine and coastal management is more effective when it is supported and implemented by local communities and fishermen. Support should be provided for programmes of training and education geared towards fishers and other stakeholders who directly utilise marine resources will increase stakeholder awareness of climate change impacts on marine and coastal resources and build their capacity to enforce fisheries regulations. In keeping with the country’s National Climate Change policy directive to expand and strengthen coastal monitoring and data collection fishers could also be trained for alternative livelihood as data collectors and analysts to monitor coral reefs and fish stocks. Training fishers to be environmental stewards incorporates the bottom-up approach to environmental management and assists in the transfer of information to other fishers and improves their cooperation with legislation. Long Term Actions Conduct mangrove restoration activities to improve coastal protection. Growing appreciation for the invaluable services mangroves offer has motivated some communities on the islands of Bimini and Great Guana Caye to undertake mangrove replanting projects. One method of mangrove reforestation which has proven successful in Belize is the Riley Encased Methodology (REM). The method, which uses a small PVC pipe to protect growing saplings, is relatively inexpensive, easily implemented and causes minimal disturbance to the environment. A Caribbean Coastal Area Management Foundation (C-CAM) representative in Jamaica has also proposed exploring the option of using water-proofed paper tubing that will biodegrade over time. This adaptation from the REM methodology will save a step in the process since the piping will not have to be removed once the saplings have grown to reproductively mature trees. A natural alternatively is the use of bamboo wave attenuators to protect developing saplings. Reforestation of the mangrove stands will improve the health of fish nurseries and coral reefs thus benefitting the livelihoods of those engaged in marine-based activities. Existing MPAs will also benefit from the presence of mangrove trees which filter pollutants and provide protection to fish and crustaceans allowing them to increase in size and abundance. Healthy mangrove forests will also provide better protection of the coastline and to coastal communities against natural disasters such as storm surge and hurricanes. However reforestation projects will not be effective as long as development projects that remove and damage mangrove stands are still approved. The Bahamas therefore needs clear legislation to protect mangroves from being cleared for development. Use coral reef nurseries and engage fishers in planting and monitoring of transplanted corals. Scientists have successfully grown corals in laboratories for many years. Such research has now made it possible for corals to be transplanted and regenerated in their natural environment. Given The Bahamas experience and commitment to using MPAs as tools for protecting marine ecosystems, coral reef nurseries may be established within well managed protected areas. Corals may then be transplanted onto healthy reefs within the Commonwealth. With further research it may be possible for coral to be transplanted around other islands in the Caribbean that do not have MPAs that are sufficiently managed to feasibly establish coral nurseries. 170 Increase in coral cover will increase habitat for fish providing benefits to both the fisheries and tourism industries. Resilient reefs will better withstand climate change impacts and provide better protection to coastlines from storm surge. By engaging fishers and volunteers from communities will fulfil two objectives: increasing education and awareness, and gaining public participation. 6.7. Sea Level Rise and Storm Surge Impacts on Coastal Infrastructure and Settlements Short Term Actions Conduct a thorough cost-benefit analysis of coastal protection at a local level. Cost-benefit analysis of coastal protection will be informed by the estimated cost of damage to specific infrastructure and properties. The specific location of infrastructure is important for estimating impacts to a high level of fidelity. Similarly, property values are highly dependent on exact location – for example in some areas the most expensive property values may be on the coast, whereas in others they may be located on a hillside. A detailed analysis of property prices by location is required as part of local level studies. The Government of Bahamas, local resort owners and local building authorities are encouraged to collaborate with members of the research community to help develop a cost benefit analysis of coastal protection. In addition to refining estimates of costs to rebuild infrastructure (particularly in areas with high-density coastal development), there is an important need to investigate the response of international tourists and the private sector to the impacts of coastal erosion, coral degradation and to test adaptation strategies in the tourism sector. By completing a cost-benefit analysis, decision makers will able to identify the best adaptation options to adopt and can begin to move forward in reducing the vulnerability of settlements and infrastructures in vulnerable areas. Medium Term Actions Complete a focused analysis of the vulnerability of secondary and tertiary economies to SLR and determine the economic impacts of these damages for the tourism sector. Tourism infrastructure is particularly vulnerable in The Bahamas. With tourism contributing a large proportion to the national economy, the capacity of the Bahamian economy to absorb and recover from proportionately higher economic losses in that sector is expected to be low. Determining the secondary and tertiary economic impacts of damages to the tourism sector and possible adaptation strategies should be a priority for future research. This will enable the identification of the degree to which the economy of The Bahamas and its citizens are economically and socially vulnerable to SLR. In the event that this study finds tourism to be economically vulnerable to the impacts of SLR, then action plans could be developed to diversify the economy and provide training and tools to help workers transition to other sectors that may be less vulnerable. Assess the adaptive capacity of the tourism sector to SLR. Tourism is the single most important sector in The Bahamas. Given the close proximity of the tourism infrastructure to the coast, it is highly dependent on the attractiveness of the natural coastal environment, which has been shown to be vulnerable to SLR. More detailed analysis of the impacts of SLR for major tourism resorts, critical beach assets and supporting infrastructure (e.g., transportation) is needed to accurately assess the implications for inundation and erosion protection. A necessary part of this evaluation is to identify the land that can be used for tourism infrastructure and future development under a managed retreat response to SLR. 171 Long Term Actions Review and develop policies and legal framework to support coordinated retreat from high-risk coastal areas. The government of The Bahamas must review existing policy and legal frameworks to assess the responsibilities of the state and landowners for the decommissioning of coastal properties damaged by the impacts of SLR. The government should also examine the utilisation of adaptive development permits that will allow development based on current understanding of SLR, but stipulate the conditions for longer-term coastal retreat if sea level increases to a specified level. Current coastal set-back regulations need to be reassessed in light of new SLR projections to ensure that new developments are not built in vulnerable coastal areas. 6.8. Comprehensive Natural Disaster Management Short Term Actions Conduct capacity building and technical training programs for NEMA employees so that the current technical deficiencies can be remedied and skills gained. The need for training on Hazard Impact Assessment and post-disaster Damage and Needs Assessment was revealed during this research. To achieve CDEMA’s goals under the Comprehensive Disaster Management Strategy and Plan, the prioritisation of technical training within the Participating States’ disaster offices should also be a priority. The RNAT team and the CARICOM Disaster Response Unit (CDRU) have excellent technical expertise within the military but those teams are only required with major disasters and often leave before all affected communities are assessed. Therefore, this recommendation is to build capacity at the local and national level. In this way, NEMA and their Disaster Management Committee (DMC) can manage risks better and also have a better understanding of the vulnerability in the communities across The Bahamas. Medium Term Actions Develop response capacities and facilities in each of the more populated islands. During a hurricane or tropical storm transport between islands may not be safe. Because of the nature of The Bahamas, being an archipelago of multiple inhabited islands, there must be a capacity to respond within individual households on all islands and NEMA should have an office with personnel in the more populated islands so that resources and assistance can reach affected persons in good time. Disaster and emergency management should be delegated to individual islands with a focus on protection of ports since resources coming from larger islands or less impacted islands will most likely arrive via sea transport. Capacity building activities must be geared towards NEMA staff, as well as community-level programmes that will provide the household knowledge and resources required to minimise impacts and increase resilience to natural hazards. Create a policy for coastal protection and environmental buffer zones, including an official EIA mechanism, that will ensure lasting safety and conservation of vulnerable area. The work that is being carried out on ICZM and LUPAP should be continued and implemented with a policy developed that addresses the potential for managed retreat and the development of buffer zones in those areas that are particularly vulnerable. Such a policy should at a minimum address the set-back policy for any new developments or re-builds with the idea that post-impact reconstruction ‘builds back better’. This has already been identified as a necessary step in the National Climate Change Policy (NCCC-BEST, 2005), but it must be carried forward into a document that is enforceable. Wherever possible the tourism product should be diversified inland to help protect the natural resources (sun, sea and sand) that make up the tourism package. There is also a need for careful protection and preservation of the natural systems that 172 act as buffers to the impacts of climate change such as coral reefs, mangroves and sea grass beds. Once the policies and plans are in place, these requirements could be satisfactorily addressed under a welldeveloped EIA system with well-defined guidelines. Update building regulations and hire building inspectors, in permanent positions, with the responsibility of reviewing all construction on the islands. Across the Caribbean housing structures are highly vulnerable to damages from disasters such as hurricanes and tropical storms. A regional standard on building materials and practices would help to reduce losses to individual families and also take some of the pressure off of shelters because this would mean that some people would be able to stay in their own homes during emergencies. The Bahamas should certainly continue to assist with the development of a regional code, however, since national regulations or building codes do exist, the problem is actually one of enforcement. NEMA, along with the Ministry of Housing and the Ministry of Works and Transport must collaborate to conduct a needs assessment with the objective of identifying financial resource availability, personnel requirements that would improve enforcement and physical and technical requirements for hiring more building inspectors. Review the NEMAs ESF format for disaster response to ensure that the plan is broadened to more adequately address CDM and risk reduction: It has been acknowledge that “[t]here is a need for more systematic approach regarding disaster management including the enhancement of the country’s response mechanism and emergency management institutional arrangement, namely the National Emergency Management Agency (NEMA)” (Cuervo, et al., 2005). NEMA must review their Disaster Management Plan to ensure that strong response is also accompanied by efforts at disaster prevention and vulnerability reduction across all sectors and within communities. Work started under the Natural Risks Preventive Management Programme should be resumed to also deal with the technical deficiencies identified within NEMA. 6.9. Community Livelihoods, Gender, Poverty and Development Strategies are intended to contribute to development objectives (including poverty reduction) at all levels within the country, based on the Vulnerability and Adaptive Capacity assessments. More specifically, the strategies will address the following: 1. promotion of climate-resilient livelihoods strategies and capacity building for adaptive capacity and action planning; 2. disaster risk reduction strategies to reduce the effects of climate-related impacts, particularly on vulnerable households and tourism-related livelihoods; 3. capacity development for local civil society and governmental institutions so that they can provide better support to communities, households and individuals in their adaptation efforts; and 4. advocacy and social mobilisation to address the underlying causes of vulnerability, such as poor governance, lack of control over resources, or limited access to basic services. Collaboration with and amongst the existing agencies in The Bahamas working in these areas will be necessary for successful implementation. Medium Term Actions Address gaps in existing policies to protect natural resources: this can be effectively done through behavioural changes in those who use natural resources. Natural resources are often destroyed for a change in land-use or through over-exploitation for necessary purposes. Awareness of their role and of 173 alternative courses of action (or livelihoods) can effect changes that support existing policies. More specifically, actions can include: awareness and capacity building in alternative (livelihood) strategies for those persons who use or destroy natural resources advocacy targeted at the relevant government agencies to enforce laws that prevent large-scale destruction of natural systems prior to large developments as well as after construction. Build capacity to strengthen the resilience of livelihoods in coastal communities to climate change: this should be done by using the proven approach of Action Research where selected individuals gain practical knowledge through first‐hand experience and personal exchanges. This type of initiative is best implemented regionally. Specific activities include: establishment of Action Learning groups from selected communities sharing lessons and providing opportunities to learn how linkages between micro-, small and medium-sized enterprises (MSMEs) provide effective adaptation to climate change, can expand markets and promote business sustainability, through: o workshops o knowledge networks analysing and addressing constraints to adaptation Training for alternative livelihoods and value‐added products Facilitate climate-resilient construction by: Revision and enforcement of building codes Building capacity and removing barriers to action for communities to build smart and “build back better” after properties have been damaged. Reducing dependency on external food supplies: Greater promotion of more community gardens, particularly for the poor that live in urban centres and assessing the feasibility of roof-top gardens and community plots could help to improve the food supply, and provide an ongoing source of food especially for low-income families. Poorer families can then have more funds available to use otherwise. Build structures to protect legally established properties against flooding, in those areas that are poorly located in or near to natural water courses. Caution is needed to ensure that potentially dangerous waterflows are not redirected to other properties. Water catchment and storage facilities should be included in this strategy. Encourage and facilitate participatory process amongst various stakeholder groups and resource users: There needs to be greater collaboration and networking between organisations and groups for human and technical resource efficiency; and to create opportunities for stakeholders to work together to resolve issue regarding resource use and impacts. Augment national awareness efforts during hurricane season: not all residents take hurricane warnings seriously and consequently can endanger themselves, as well as others who may need to rescue them. Establishing why warnings are sometimes ignored can assist in developing strategies to ensure the safety of vulnerable communities (and of those within the community with specific vulnerabilities). Accordingly, awareness and outreach efforts can be designed to enhance the effectiveness of the already established national early warning system. 174 7. CONCLUSION 7.1. Climate Modelling Recent and future changes in climate in The Bahamas have been explored using a combination of observations and climate model projections. Whilst this information can provide us with some very useful indications of the changes to the characteristics of regional climate that we might expect under a warmer global climate, we must interpret this information with due attention to its limitations. Limited spatial and temporal coverage restricts the deductions we can make regarding the changes that have already occurred. Those trends that might be inferred from a relatively short observational record may not be representative of a longer term trend, particularly where interannual or multi-year variability is high. Gridded datasets, from which we make our estimates of country-scale observed changes, are particularly sparse in their coverage over much of the Caribbean, because spatial averages draw on data from only a very small number of local stations combined with information from more remote stations. Whilst climate models have demonstrable skill in reproducing the large-scale characteristics of the global climate dynamics, there remain substantial deficiencies that arise from limitations in resolution imposed by available computing power, and deficiencies in scientific understanding of some processes. Uncertainty margins increase as we move from continental/regional scale to the local scale as we have in these studies. The limitations of climate models have been discussed in the context of tropical storms/hurricanes, and SLR in the earlier sections of this report. Other key deficiencies in climate models that will also have implications for this work include: Difficulties in reproducing the characteristics of the El Niño – Southern Oscillation which exerts an influence of the inter-annual and multi-year variability in climate in the Caribbean, and on the occurrence of tropical storm and hurricanes. Deficiencies in reliably simulating tropical precipitation, particularly the position of the Inter-tropical Convergence Zone (ITCZ) which drives the seasonal rainfalls in the tropics. Limited spatial resolution restricts the representation of many of the smaller Caribbean Islands, even in the relatively high resolution Regional Climate Models. We use a combination of GCM and RCM projections in the investigations of climate change for a country and at a destination in order to make use of the information about uncertainty that we can gain from a multi-model ensemble together with the higher-resolution simulations that are only currently available from two sets of model simulations. Further information about model uncertainty at the local level might be drawn if additional regional model simulations based on a range of differing GCMs and RCMs were generated for the Caribbean region in the future. 7.2. Water Quality and Availability Throughout The Bahamas, freshwater is sourced mainly from subterranean freshwater lenses that rest over brackish and saline waters (Buchan, 2000). These shallow karstic limestone aquifers are close to the land surface at a depth of only 1.5 metres (BEST, 2001), and their distribution varies according to factors 175 including island size, shape, climate and geology (Buchan, 2000). Groundwater resources are of variable salinity from completely fresh to brackish, saline or hypersaline (Buchan, 2000). Freshwater is considered scarce with 66 m3/capita/year and ranked 177 out of 180 countries by the FAO in 2002 with respect to its water availability (USACE, 2004). The government stipulated water provider in The Bahamas is the Water and Sewerage Corporation (WSC). However, the WSC supplies water to just 30% of water to consumers, as much as 55% of which has been tagged as non-revenue water. This low rate of supply is due to private operators and the abstraction of water from private wells by consumers such as tourist developments (Spencer et al., 2010). However, since there is a limited availability of groundwater and freshwater lenses are shallow, this unregulated abstraction could have a significant impact on water sustainability as well as environmental and health consequences (Spencer et al., 2010). Water use from the tourism sector is usually higher than that for local demand. To meet water requirement needs, desalination is utilised within the tourism sector, however, such technology is more expensive. This is adapted to partially through the use of slightly saline groundwater (Buchan, 2000). Research by Edwards (2004) found that hotels in The Bahamas generally lack in sustainable water management practices, with only 42% having a towel and linen reuse programme in place, 37% utilising gray water, 32% encouraging guests to conserve water and 26% utilising pipes with flow restrictors. The shallow freshwater aquifer lenses in The Bahamas are threatened by anthropogenic pollution which includes the increased use of septic tanks, increased contamination from hazardous chemicals and agricultural products, increased leachates from landfills and increased release of industrial wastes (BEST, 2005). Storm surges and canalisation for development of residential plots have also given rise to salinisation issues which threaten freshwater supplies. SLR and storm surges as a result of more extreme weather events particulary hurricanes can lead to saline intrusion of freshwater lenses. Storm surges from past hurricanes have already caused extensive damage to aquifers in The Bahamas, with contamination from seawater, sewage, pesticides and petroleum products (USACE, 2004). In addition, tourism has increased problems through both increased groundwater abstraction and increased generation of sewage (Buchan, 2000). The freshwater resources of The Bahamas are particularly vulnerable because more than 80% of the land area is just one meter or less above sea level (BEST, 2001). Saltwater lenses on the islands are expected to shrink as a result of decreased precipitation, SLR and indiscriminate abstraction. The freshwater lenses in The Bahamas are already very vulnerable because more than 90% rest within 1.5 m from the surface of the land (WSC, 2011) and if projected SLR of 1.5 m does occur, roughly 80% of The Bahamas’ land mass may become temporarily or permanently reclaimed by the sea (WSC, 2011). In addition, The Bahamas is vulnerable to flooding from storm events, which can affect water quality and have implications for sanitation and cause serious soil erosion. Current development patterns also make The Bahamas vulnerable and sea walls can result in trapped water which contributes to flooding (ICFC, 2002) and makes groundwater contamination more likely (Buchan, 2000; ICFC, 2002). 7.3. Energy Supply and Distribution There can be little doubt that tourism is an important and growing energy-consuming sector in the Caribbean. If this growth continues, vulnerabilities associated with higher energy prices as well as global climate policy will grow concomitantly. As a reminder, The Bahamas already spend in excess of Bahamas $ 1 billion on fuel imports, i.e. more than 10% of GDP, while energy consumption is anticipated to increase by 8% per year up to 2013. 176 Any Caribbean nation’s ambition should thus be to reduce its energy use and to increasingly use renewable energy produced in the region. In practice, this appears to be hampered by the lack of detailed databases on energy use by sub-sectors, which is a precondition for restructuring energy systems. To this end, Francis et al. (2007: 1231) suggest that: Finally, given the absence of a more detailed database on energy consumption and GDP in Haiti, Barbados, and Trinidad and Tobago, further research can be directed at two important issues. First, with wider data on energy consumption and GDP (total and sectoral), a decomposition analysis could be undertaken, which can add value by identifying the main drivers, a useful approach to the formulation of effective policies. While an energy and emissions database would thus be paramount to the understanding, monitoring and strategic reduction of greenhouse gases, it also appears clear that energy demand in The Bahamas could be substantially reduced at no cost, simply because the tourism sector in particular is wasteful of energy. Furthermore, technological options to develop renewable energy sources exist, and can be backed up financially by involving carbon markets as well as voluntary payments by tourists. In order to move the tourism sector forward to make use of these potentials, it appears essential that policy frameworks focusing on regulation, market-based instruments and incentives be implemented. 7.4. Agriculture and Food Security The potential for climate change adaptation and mitigation in Bahamian agriculture hinges on the following factors: Improved crop and land management policy and practice to increase food production The increased use of agro-technology at the farm level to grow crops under varying climatic conditions, and to suit the topography of the islands (coppice vs. pine) The development of dedicated crops for domestic use and for supply to the hotel sector The Bahamas Government has begun to create an enabling environment for climate change mitigation through its recently adopted (2010) five-year strategic plan for the agriculture and fisheries sectors. The proposed scheme requires substantial investments and information to change existing unsustainable farming methods and to reduce food insecurity. The key is to support links between policy makers, scientists and technicians in the field of climate change and agriculture, and local farmers directly involved in food production. 7.5. Human Health The Bahamas has unique challenges to face in its health sector and its associated vulnerability due to its composition of numerous islands and the proximity to and economic dependence on the US, perhaps and also its associated attractiveness to immigrants seeking to enter the US. To sustain The Bahamian economy the tourism industry, which generates the greatest revenues and foreign exchange, health will play a very important role in ensuring The Bahamas remains a competitive tourist destination. There the potential impacts of climate change should be determined and measures to adapt should be devised and implemented. From the combined assessment of hard data and grey data reviewed in the vulnerability and adaptive capacity sections of this report it is very difficult to make definitive statements about the Health Sector of 177 The Bahamas. However, the data suggests a number of trends which include that the population is vulnerable in a number of ways, most notably to weather related morbidity and mortality and the diseases, sanitation and potable and accessible water supply, the spread of food- and water- borne illnesses, drought related issues and the threats associated with influx of high volumes of immigrants and tourists. It is further evident that these factors impact on multiple sectors, such as the tourism, water and agricultural sectors. With the establishment of a research culture and validation of data from the various components of the Health Sector, these will pave the way for a sound platform from which to inform policy and planning for the future as the climate changes. 7.6. Marine and Terrestrial Biodiversity and Fisheries The small and low-lying islands and cays of The Bahamas make it very vulnerable to the impacts of climate change. The local population and thriving tourism industry are reliant on limited natural resources that are already suffering from the effects of coastal erosion, salt water intrusion and habitat fragmentation. Further losses of biodiversity and ecosystem function caused by climate change and SLR will place additional strain on the tourism dependent economy and on the livelihoods of its inhabitants. Although the islands’ coral reefs are healthier than they are in other parts of the Caribbean, they still face pressure from over-fishing and coastal degradation. Mangroves, beaches and forests are also negatively impacted by coastal development and other human activities. A holistic approach to climate change adaption with respects to biodiversity will involve examining the linkages between The Bahamas’ marine and terrestrial ecosystems. Adaptation strategies will be most effective if an ecosystem based approach is used as opposed to the protection individual species of flora and fauna. The Bahamas is to be commended for the efforts made in policy and strategy development with regards to managing its environment. The government has developed policies and, in collaboration with other agencies, has begun to implement strategies towards monitoring and building the resilience of its biodiversity to climate change impacts. It is essential that polices are put into action quickly as climate inertia means those factors that bring about SLR, higher SSTs and increased storm intensity are already in place and accelerating. The country’s experience in managing its National Park systems, its commitment to increasing protected areas and the relative health of its reefs, puts The Bahamas in a position to serve as a model to assist other islands in the region to build climate change resilience. The strategies recommended in this document are aimed at supporting current activities by enhancing ecosystem health as well as building capacity through education and empowerment of natural resource users to serve as environmental stewards. 7.7. Sea Level Rise and Storm Surge Impacts on Coastal Infrastructure and Settlements With its high-density development along the coast and reliance on coastal resources, the tourism sector in The Bahamas is vulnerable to climate change and SLR. Tourism, a very large and important sector of the economy, is also the key activity taking place in the island’s coastal areas. Given the importance of tourism, The Bahamas will be particularly affected with annual costs as a direct result of SLR. If action is not taken to protect the coastlines of The Bahamas, the current and projected vulnerabilities of the tourism sector to SLR, including coastal inundation and increased beach erosion, will result in significant economic losses for the country and its people. Adaptations to minimise the vulnerabilities of The Bahamas will require 178 revisions to development plans and major investment and policy decisions. These considerations must be based on the best available information regarding the specific coastal infrastructure and ecosystem resources along the coast, in addition to the resulting economic and non-market impacts. Decisions regarding where retreat policies should be implemented versus what should be protected needs to be a priority if The Bahamas is to help curb development in vulnerable areas and protect vulnerable tourism assets. The government of The Bahamas needs to implement policies to regulate coastal development and to identify and inventory vulnerabilities of coastal lands and infrastructure to weather and climate related hazards. This work needs to be advanced to include in greater detail the implications of and application of climate change adaptation measures and strategies, to ensure that Bahamian coastal resources and infrastructure do not suffer from the consequences of potential increased SLR. Continued development and an increasing reliance on the tourism sector will only magnify the vulnerabilities faced, placing additional assets and people at risk, while simultaneously raising the damage estimates and the costs to protect the coastline. It is vital to recognise the vulnerabilities from current SLR and SLR-induced erosion, as well as to anticipate and prepare for future SLR implications. There is an urgent need for serious, comprehensive and urgent action to be taken to address the challenges of adapting to SLR in The Bahamas. 7.8. Comprehensive Natural Disaster Management The Bahamas is a diverse country in terms of its geographic size and the socio-economics of its population. Its islands are exposed to numerous natural hazards that have the potential to create disasters. In recent years, storm systems have affected the islands and their populations but have not created significant impacts since the very damaging 2004 hurricane season. Hurricanes Charley, Frances and Jeanne reminded Bahamians of how vulnerable they are to hurricanes, but also how much of their economy, especially tourism, is also at risk of great losses from natural hazards. Lessons learned in those hurricanes have translated to positive vulnerability reduction and preparedness actions. The Bahamas has recently made good progress toward the creation of a disaster management system that reduces vulnerabilities and better prepares individuals, communities and the public and private sector to deal with hazard impacts. Mostly notably is the creation of the new Disaster Preparedness and Response Act in 2006. There is an acknowledgement of the need for better preparedness and risk prevention but now further actions are needed to truly affect change in both the public and private sector. Tourism is an important part of The Bahamas economy and therefore greater efforts need to be made in preparing and protecting the valuable tourism infrastructure from the impacts of natural hazards, most importantly coastal hazards such as storm surge and coastal erosion. The similarity of threats from climate change and natural hazards present a strong case for the improvement of resilience and preparedness activities. In The Bahamas this means creating an integrated system to ensure the less populous islands so that persons can sustain themselves until further help from larger islands can reach them. By improving the capacity of the NEMA staff and within the communities across the archipelago disaster preparedness will be enhanced and resilience to natural hazard impacts will be achieved. 179 7.9. Community Livelihoods, Gender, Poverty and Development It is well documented, that women and men are differently affected by the effects of climate variability and change. Reasons include the different responsibilities men and women assume in relation to care work, income generating work, as well as their different levels of dependency on natural resources, knowledge and capacities to cope with the effects because of differences in the access to education and information systems. Research findings indicate that community residents agree that men and women are affected differently by weather-induced hazards and disasters, noting that the differences are most obvious before and after the event. Additionally, poorer residents and depleted environments are hit the hardest by disasters because of the debilitating combination of existing vulnerabilities, risks and the degree of impact by events or hazards; whereas stronger communities and balanced ecosystems tend to be more resilient(Buvinic, Vega, Bertrand, Urban, Grynspan, & Truitt, 1999). Social roles and responsibilities of women and men lead to different degrees of dependency on the natural environment. The data show that women are more engaged in household subsistence activities, thus degradation of forests, watersheds and agricultural land can have a severe effect on their ability to perform the daily household maintenance tasks, thereby threatening the livelihood of their households5 and placing additional burdens on women. The use of a ‘gender lens’ can help to better understand social processes, thereby ensuring that adaptation projects consider gendered differences and do not inadvertently perpetuate inequality. 5 Gender, Climate Change and Adaptation: www.uneca.org/acpc/resources/Gender-and.../Roehr_Gender _climate.pdf 180 REFERENCES Allwinn, R., Hofknecht, N., and Doerr, H. W. (2008). Dengue in travellers is still underestimated. Intervirology, 51(2), 96-100. Amarakoon, D., Chen, A. Anthony, Rawlins, Samuel C., Taylor, M. A., and Chadee, Dave D. (2006).Retrospective Study.In A. Anthony Chen, Dave D. Chadee, and Samuel C. Rawlins (Eds.), Climate Change Impact on Dengue: The Caribbean Experience (pp. 13-25). Kingston. Anderson, D. W. (2000). Multilateral Environmental Agreements (MEA) implementation in the Caribbean report and guidelines. University of the West Indies, Faculty of Law. Mexico City, Mexico: United Nations Environment Programme. Anderson, W. P. (2002). Aquifer Salinization from Storm Overwash. Journal of Coast Research, 18(3), 413420. AOSIS (Alliance of Small Island States), (2009): Alliance of Small Island States (AOSIS) Declaration on Climate Change. Retrieved 10/1/2011 from www.sidsnet.org/ Bahamas Department of Statistics. (2004) Bahamas Living Conditions Survey 2001, Ministry of Finance, Nassau. Bahamas Department of Statistics. (2004). Labour Force and Household Income Report. Nassau, Bahamas: Department of Statistics, Ministry of Finance. Bahamas Department of Statistics. (2008). Department of Statistics of The Bahamas - July 16. Retrieved 4/29/2011, from Key Statistics: http://statistics.bahamas.gov.bs/key.php?cmd=view&id=134 Bahamas Department of Statistics. (2008a). Labour Force By Age Group And Sex: 2008. Retrieved 3/30/2011 from http://statistics.bahamas.gov.bs/download/018712700.pdf Bahamas Department of Statistics. (2008b). Employed Persons by Sex and Employment Status: 2008 Retrieved 30/3/2011 from http://statistics.bahamas.gov.bs/download/008626200.pdf Bahamas Department of Statistics. (2008c). Department of Statistics of The Bahamas July 16. Retrieved 29/04/2011, from Employed Persons by Industry and Citizenship: http://statistics.bahamas.gov.bs/key.php?cmd=view&id=134 Bahamas Department of Statistics. (2009). 09 Labour Force Highlights - October 9. Retrieved 5/3/2011, from Department of Statistics of The Bahamas: http://statistics.bahamas.gov.bs/reports.php?cmd=view&id=60 Bahamas Department of Statistics. (2010a). Percentage Distribution of Population By Island 2000 and 2010 Censuses, 10/25/2010. Retrieved 3/29/2011 from http://statistics.bahamas.gov.bs/key.php?cat=13 Bahamas Department of Statistics. (2010b). Vital Statistics Provisional Report For The Bahamas Volume 1, No.9. 11/10/2010. Retrieved 28/3/2011 http://statistics.bahamas.gov.bs/reports.php?cmd=view&id=63. Bahamas Department of Statistics. (2010c). Department of Statistics of The Bahamas - October 25. Retrieved 4/29/ 2011, from Key Statistics: http://statistics.bahamas.gov.bs/key.php?cat=13 181 Bahamas Meteorological Department. (2011). Climate of The Bahamas. Retreived 29/3/2011 from http://www.bahamasweather.org.bs/index.php?page=climate Bamber, J.L., Riva, R., Vermeersen, B.L.A. & LeBrocq, A.M. (2009). Reassessment of the potential sea-level rise from a collapse of the West Antarctic Ice Sheet. Science 324, 901- 903. Barnett, J. (2005). Titanic states? Impacts and responses to climate change in the Pacific islands. Journal of International Affairs 59, 203-219. Barnett, J., & Adger, W. (2007). Climate Change, Human Security and Violent Conflict. Political Geography , 639-655. Barr, S., G. Shaw, T. Coles and J. Prillwitz, (2010): ‘A holiday is a holiday’: practicing sustainability, home and away. Journal of Transport Geography, 18, 474-481. Bates, B., Kundzewicz, W. Z., Wu, S., & Palutikof, J. (Eds.). (2008). Climate Change and Water. Technical Paper of the Intergovernmental Panel on Climate Change. Geneva: IPCC Secretariat. (p. 210). BBC. (2010). Fish poisoning "link" to warming – December 13. Retrieved 12/20/2010, from BBCCaribbean: http://www.bbc.co.uk/caribbean/news/story/2010/12/101213_fish.shtml BCQS International. (2010). Caribbean Construction Market Trend Report 2010. From 3/30/2011 from http://www.bcqs.com/images/stories/bcqs_market_trend_report_spread.pdf Becken, S. (2008). Developing indicators for managing tourism in the face of peak oil’, Tourism Management 29: 695-705. BEST. (1999). The Commonwealth of The Bahamas national biodiversity strategy and action plan. The Bahamas Environment Science and Technology Commission. Nassau: Bahamas National Trust, Bahamas Enviornment, Science and Technology Commission. BEST. (2001). First National Communication on Climate Change to the UNFCCC. Nassau, New Providence: The Bahamast Environment, Science and Techology Commission, The Government of the Commonwealth of The Bahamas. BEST. (2005). National Environmental Management Action Plan for The Bahamas. Ministry of Agriculture and Fisheries, Nassau. (p. 48) The Bahamas Environment Science and Technology Commission. BEST. (2006a). The Bahamas National Wetlands Policy. National Wetlands Comittee. Bahamas Environment, Science and Technology Commission Commission. BEST. (2006b). The National Programme Action to Combat Land Degradation. The Bahamas Environment, Science and Technology Commission. Nassau: Ministry of Energy and Environment. BEST. (2006c). The First National Report on the Implementation of the United Nations Convention to Combat Desertification. Bahamas Country Profile. Ministry of Agriculture and Fisheries, Nassau. (p. 36) The Bahamas Environment Science and Technology Commission. BIS. (2006a). Disaster managers move forward on integrated national relief policy. Retrieved 5/8/ 2001, from The Commonwealth of The Bahamas, Bahamas Information Services: http://www.bahamas.gov.bs/bahamasweb2/home.nsf/vContentW/E4AB95EF0B5E6888852571220051A 6FA!OpenDocument 182 BIS. (2006b). Desalination important to providing potable water to Bahamians, Minister Roberts says August 25. Bahamas Information Services. Nassau. Retrieved on 20/04/2011 from http://www.bahamas.gov.bs/bahamasweb2/home.nsf/a2adf3d1baf5cc6e06256f03005ed59c/305e87b0 9c8f29bd852571d5005013d2!OpenDocument. BIS. (2011a). NEMA installing severe weather warning system- Feb 3. Retrieved 8/5/2011, from Bahama Islands Info (written by Bahamas Information Services): http://www.bahamaislandsinfo.com/index.php?option=com_content&view=article&id=8055:nemainstalling-severe-weather-warning-systems&catid=34:Bahamas%20National%20News&Itemid=147 BIS. (2011b). Press Release - Agriculture Ministry wants Bahamians to help reduce food import bill. (Mar, 2011) Bahamas Information Services Department. Bishop, J.D.K. and Amaratunga, G.A.J. (2008). Evaluation of small wind turbines in distributed arrangement as sustainable wind energy options for Barbados. Energy Conversion and Management 49: 1652-1661. BNT. (2005). Ecosystems of The Bahamas: Coral Reef. Retrieved 15/12/2010 from The Commonwealth of The Bahamas, Bahamas National Trust: http://www.bahamas.gov.bs/BahamasWeb/VisitingTheBahamas.nsf/Subjects/Ecosystems+Of+The+Bah amas BNT. (2008). Bahamas National Trust position on the Bimini Bay project. Retrieved 12/14/2010, from Bahamas National Trust, Mangrove Action Project: http://mangroveactionproject.org/news/current_headlines/ BNT. (2009). National Parks - National Treasures. Nassau: The Bahamas National Trust. Boateng, I. (2008). Integrating Sea-Level Rise Adaptation into Planning Policies in the Coastal Zone. Proceedings of the Integrating Generations FIG Working Week, 14-19 June, Stockholm, Sweden. Retrieved 4/4/2011 from www.fig.net/pub/fig2008/papers/ts03f/ts03f_03_boateng_2722.pdf Bobba, A. G. (2002). Numerical modelling of salt-water intrusion due to human activities and sea-level change in the Godavari Delta, India. Hydrological Sciences Journal, 47(S)August 2002), 67-80. Bows, A., K. Anderson and A. Footitt, (2009): Aviation in a low-carbon EU. In: Climate Change and Aviation, Gössling, S. and P. Upham (eds.), Earthscan, London, U.K., pp. 89-109. BREEF. (2006). The Bahamian Commercial Fishing. Retrieved 22/2/2011, from The Bahamas Reef Environment Education Foundation: www.BREEF.org Brewster, A. (2005). Caribbean Electricity Restructuring: An Assessment. Public Administration and Development 25: 175-184. Bruun, P. (1962). Sea level rise as a cause of shore erosion. Journal of waterways and harbours division, 117-130. Buchan, K. (2000). The Bahamas. Marine Pollution Bulletin, 41(1-6), 94-111. Bueno, R., C. Herzfeld, E. A. Stanton and F. Ackerman, (2008): The Caribbean and climate change: the costs of inaction. Stockholm Environment Institute-US Center, Global Development and Environment Institute, Tufts University, Massachusetts, U.S.A. 183 Burke, H. (2004). Hurricane Frances Drenches Bahamas, Heads to Florida - Sept 4. Bloomberg, Bahamas/Florida. Burke, L., and Maidens, J. (2004).Reefs at risk in the Caribbean, World Resources Institute (WRI), Washington D.C., 84. Burke, L., Maidens, J., Spalding, M., Kramer, P., Green, E., Greenhalgh, S., et al. (2004). Reefs at risk in the Caribbean: Bahamas. Washington, DC: World Resource Institute. Burton, I. (1996). The growth of adaptation capacity: practice and policy. In J. N. Smith, Bhatti, G. Menzhulin, R. Benioff, M. Budyko, M. Campos, et al., Adapting to Climate Change: An International Perspective (pp. 55–67). New York, NY, USA: Springer- Verlag. Buvinic, M., Vega, G., Bertrand, M., Urban, A.-M., Grynspan, R., & Truitt, G. (1999). Hurricane Mitch: Women's Needs and Contributions. Sustainable Development Department Technical Paper Series. Washington, D.C.: Inter-American Development Bank. Cadet, A. (2011). National Gender Policy shaping up. Retrieved on 13 March 2012 from The Tribune: http://www.tribune242.com/features/Woman/11152011_GENDERPOLICY_features_pg Campbell, D., Barker, D., and McGregor, D. (2011). Dealing with drought: Small farmers and environmental hazards in southern St. Elizabeth, Jamaica. Applied Geography, 31(1), 146-158. Elsevier Ltd. CAREC. (2008a). Caribbean Epidemiology Centre Annual Report 2007. CAREC/PAHO/WHO, Port-of-Spain. CAREC. (2008b). Cholera, Morbidity Review of Communicable Diseases in CAREC Member Countries, 1980 – 2005. Port-of-Spain. CAREC. (2008c). Food-Borne Illnesses, Morbidity Review of Communicable Diseases in CAREC Member Countries, 1980 – 2005. CAREC/PAHO/WHO, Port-of-Spain. CAREC. (2009). Caribbean Epidemiology Centre Annual Report 2008. CAREC/PAHO/WHO, Port-of-Spain. Caribbean Development Bank (CDB) and Caribbean Community Secretariat (CARICOM). (2004). Sourcebook on the Integration of Natural Hazards into the Environmental Impact Assessment (EIA) Process. Barbados: Caribbean Development Bank. Castle, T., Amador, M., Rawlins, S., Figueroa, J. P., and Reiter, P. (1999). Absence of impact of aerial malathion treatment on Aedesaegypti during a dengue outbreak in Kingston, Jamaica. Pan American journal of public health, 5(2), 100-5. CBD, Secretariat of the Convention on Biological Diversity. (2006). Global Biodiversity Outlook 2. Montreal: UNEP. CCCCC (Caribbean Community Climate Change Centre), (2009): Climate Change and the Caribbean: A Regional Framework for Achieving Development Resilient to Climate Change (2009-2015). Caribbean Community Climate Change Centre, Belmopan, Belize, 30pp. CCRIF. (2011). CCRIF News March 2011 Volume 2 and 3. Grand Cayman: Caribbean Castrophe Risk Insurance Facility. CDB. (2006). Social and Economic Indicators. Wildey, Barbados: Caribbean Development Bank. 184 CDEMA. (2010). Caribbean Disaster Emergency Management Agency. Retrieved 1/11/2010, from CDEMA: www.cdema.org Central Bank of The Bahamas. (2010). Quarterly Statistical Digest (Volume 19, No. 1). The Central Bank of The Bahamas, Government of the Commonwealth of The Bahamas. Chadee, D D., (2009). Impact of pre-seasonal focal treatment on population densities of the mosquito Aedesaegypti in Trinidad, West Indies: a preliminary study. Actatropica, 109(3). Chadee, D. D., Huntley, S., Focks, D. A., and Chen, A. A., (2009). Aedes aegypti in Jamaica, West Indies: container productivity profiles to inform control strategies. Tropical medicine and international health, 14(2), 220-7. Chase, V. (2008). Water Forum of the Americas Report of the Caribbean Sub-region. ARC Consultants for the Caribbean Region. Chen, A. A., Chadee, D. D., and Rawlins, S. C., (eds.) (2006): Climate Change Impact on Dengue: The Caribbean Experience. Climate Studies Group Mona, University of the West Indies, ISBN976-41-0210-7, 104pp. Chen, A. A., Chin, P.N., Forrest, W., McLean, P., and Grey, C. (1994). Solar Radiation in Barbados. Solar Energy 53(5): 455-460. Chen, A. A., Daniel, A.R., Daniel, S.T. and Gray, C.R. (1990). Wind Power in Barbados. Solar Energy 44(6): 355-365. Chen, Z., Grasby, S. E., and Osadetz, K. G. (2004). Relation between climate variability and groundwater levels in the upper carbonate aquifer, southern Manitoba, Canada. Journal of Hydrology, 290(1-2), 4362. Cheng, X., and Su, H. (2010). Effects of climatic temperature stress on cardiovascular diseases. European Journal of Internal Medicine, 21(3), 164-7.European Federation of Internal Medicine. Church, J. A., and White, N. J. (2006). A 20th century acceleration in global sea-level rise. Geophysical Research Letters, 33(1), 94-97. Church, J. A., White, N. J., Coleman, R., Lambeck, K., & Mitrovica, J. X. (2004). Estimates of the regional distribution of sea-level rise over the 1950-2000 period. Journal of Climate 17, 2609-2625. CIA (2011) CIA World Factbook. Retrieved 29/3/2011 from: https://www.cia.gov/library/publications/theworld-factbook/geos/bf.html. Clinton, W. (2006). Lessons Learned from Tsunami Recovery: Key Propositions for Building Back Better. Special Envoy for Tsunami Recovery. New York: United Nations. Commonwealth of The Bahamas. (2005a). The PM says disaster legislation will command Parliament's attention. Retrieved 8/5/2011, from The Government of The Bahamas: http://www.bahamas.gov.bs/bahamasweb2/home.nsf/6537e3bc61a2b0be85256b3a00751d57/a6456f2 a56df1db0852570a5007292bf!OpenDocument Confalonieri, U., Menne, B., Akhtar, R., Ebi, Kristie L., Hauengue, M., Kovats, R. S., et al. (2007).Human Health. Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. In van der L. P. J. 185 and H. C. E. Parry, M. L., Canziani, O. F., Palutikof, J. P. (Ed.), (pp. 391-431). Cambridge, UK: Cambridge University Press. Cox L., Hammerton J. L. and Wilchcombe N. (Eds.) (2005). The Bahamas State of the Environment Report GEO Bahamas 2005. College of The Bahamas, Nassau. CTO. (2010). Caribbean Tourism Organisation. Retrieved April 29, 2011, from Individual Country Statistics: http://www.onecaribbean.org/statistics/countrystats/ Cuervo, J., Forsythe, C., Moreno, H., Vieira, F., Buchsbaum, B., Mellinger, Y., et al. (2005). Sector Facility Profile: The Bahamas. Retrieved 23/2/2011, from InterAmerican Development Bank: http://idbdocs.iadb.org/wsdocs/getdocument.aspx?docnum=602811 Cutter, S., Barnes, L., Berry, M., Burton, C., Evans, E., Tate, E., et al. (2008). A place-based model for understanding resilience to natural disasters. Global Environmental Change, 598-606. Dalton, G.J., Lockington, D.A. and Baldock, T.E. (2008) Feasibility analysis of stand-alone renewable energy supply options for a large hotel. Renewable Energy 33: 1475-1490. Dalton, G.J., Lockington, D.A. and Baldock, T.E. (2009) Case study feasibility analysis of renewable energy supply options for small to medium-sized tourist accommodations. Renewable Energy 34: 1134-1144. Dasgupta, S., B. Laplante, C. Meisner, D. Wheeler, & J. Yan. (2007). The Impact of Sea Level Rise on Developing Countries: A Comparative Analysis. World Bank Policy Research. Working Paper No. 4136. Washington, DC: World Bank Deo, A. A., Ganer, D. W., & Nair, G. (2011). Tropical cyclone activity in global warming scenario. Natural Hazards. Department for Environment, Food and Rural Affairs (DEFRA). (2010). Greenhouse gas (GHG) conversion factors. Retrieved 8/5/2011 from http://archive.defra.gov.uk/environment/business/reporting/conversion-factors.htm Department of Fisheries. (n.d.). Facilitating fishreies development in The Bahamas: costs of permits and licences. Nassau, New Providence, Bahamas: Department of Fisheries. Department of Marine Resources. (2005). The Government of The Bahamas: Department of Marine Resources. Frequently asked questions. Retrieved 14/2/2011 from www.bahamas.gov.bs Dierssen, H., & Zimmerman, R. (2003). Benthic ecology from space: seagrass net primary production across The Bahamas Banks. Marine Ecology-Progress Series , 1-15. Doganis, R. (2006). The Airline Business, 2nd ed, London: Routledge. Donner, S. W.-G. (2005). Global assessment of coral bleaching and required rates of adaptation under climate change. Global Change Biology (11), 2251-2265. Dudley, N. (2008). Guidelines for Applying Protected Area Management Categories. Gland, Switzerland: IUCN. Dulal, H. B., K. U. Shah and N. Ahmad, (2009): Social Equity Considerations in the Implementation of Caribbean Climate change Adaptation Policies. Sustainability, 1(3), 363-383. 186 Duncombe, D. (2004). Hurricane Frances Pummels Bahamas; Man Dies - Sept 3. Retrieved 5/3/2011 from Associated Press http://www.bahamasb2b.com/news/wmview.php?ArtID=4074 Ebi, Kristie L., Lewis, N. D., and Corvalán, C. (2006). Climate Variability and Change and their Potential Health Effects in Small Island States: Information for Adaptation Planning in the Health Sector. Environmental Health Perspectives, 114(12), 1957-1963. ECLAC. (2004). Hurricanes Frances and Jeanne in 2004: Their Impact in the Commomwealth of The Bahamas. Economic Commission for Latin America and The Caribbean. ECLAC. (2010a). Statistical Yearbook for Latin America and the Caribbean. Santiago, Chile: United Nations. ECLAC. (2010b). Economic Survey of Latin America and the Caribbean 2009-2010. Santiago, Chile: United Nations. ECLAC. (2010c). Economic Survey 2009-2010 July 2. Retrieved 29/04/2011, from Economic Commission for Latin America and the Caribbean: www.eclac.cl/publicaciones/xml/3/40253/LCG2458_Bahamas.XLS Edwards, T. J. (2004). Making Tourism Sustainable Environmental Incentives for Sustainable Tourism: A Renewed Strategy for Tourism Development in Small Island Developing States. Centre for Hotel and Tourism Management, The University of the West Indies, Nassau. (p. 14). Eijgelaar, E., Thaper, C. & Peeters, P. (2010). Antarctic cruise tourism: the paradoxes of ambassadorship, last chance tourism' and greenhouse gas emissions. Journal of Sustainable Tourism, 18 (3), 337 - 354. Eisenhart, A. (2010). Sustainable Horticulture Crop Production in The Bahamas. University of Minnesota: USA. El Raey, M., Dewidar, Kh., & El Hattab, M. (1999). Adaptation to the impacts of sea level rise in Egypt. Climate Research, 12, 117–128. Elwell, H., Gove, M., Latham, D., Ohikata, M., Resnick, K., & Rugambwa, P. (2008). Enhancing Local Capacities for Stormwater Management in Nassau , New Providence , The Bahamas. Department of Urban and Environmental Policy and Planning, University of Tufts. (p. 65). Emanuel, K. (2005). Increasing destructiveness of tropical cyclones over the past 30 years. Nature, 436(7051), 686-8. EM-DAT. (2009). The Bahamas Country Profile - Natural Disasters. Retrieved 20/4/2011, from The International Disaster Database: http://www.emdat.be/result-countryprofile?disgroup=natural&country=bhs&period=1982$2011 Environmental Solutions. (2005). Commonwealth of The Bahamas National Hurricane Response 2004: Report on Findings. Jamaica: Kingston: United Nations Development Programme. Epstein, P R. (2001).Climate change and emerging infectious diseases.Microbes and infection, 3(9), 747-54. Epstein, Paul R., Diaz, H. F., Elias, S., Grabherr, G., Graham, N. E., Martens, Willem J. M., et al. (1998). Biological and Physical Signs of Climate Change: Focus on Mosquito-borne Diseases. Bulletin of the American Meteorological Society, 79(3), 409-417. Ernst & Young 2010. Action amid uncertainty: the business response to climate change. Retrieved 4/5/2011 from: 187 http://www.ey.com/Publication/vwLUAssets/Action_amid_uncertainty:_the_business_response_to_cli mate_change/$FILE/Action_amid_uncertainty.pdf Euractiv (2009) EU carbon tax on new Commission’s agenda early next year –November 4, 2009. Retrieved 25/2/2010 from: http://www.euractiv.com/en/climate-change/eu-carbon-tax-new-commission-agendaearly-year/article-187029. Everard, C. O. R., Edwards, C. N., Everard, J. D., and Carrington, D. G. (1995). A twelve-year study of leptopsirosis on Barbados.European Journal of Epidemiology, 11(3), 311 – 320. Fang, H. (2011). Optimization on Water Resource System Operation Policy during Drought. Journal of Water Resource and Protection, 03(02), 140-146. Fankhauser, S. (1995). Protection versus retreat: the economic costs of sea-level rise. Environment and Planning A, 27, 299-319. FAO. (2005). Global forest resources assessment: thematic study on mangroves. Bahamas country profile. Forestry Department. Rome, Italy: Food and Agriculture Organization. FAO. (2009a). National fishery sector overview: Commonwealth of The Bahamas. Rome: Food and Argriculture Organization of the United Nations. FAO. (2009b). Agriculture Sectoral Plan for The Bahamas, Report on Rapid Assessment of the Agriculture Sector by the FAO. The Food and Agriculture Organization of the United Nations and the Government of The Bahamas, (p. 60). FAO. (2010). Report on Rapid Assessment of the Agriculture Sector in The Bahamas. Fields, B. S., Benson, R. F., andBesser, R. E. (2002). Legionella and Legionnaires ’ Disease : 25 Years of Investigation. Clinical microbiology reviews. 15(3), 506-526. Fisman, D. N., Lim, S., Wellenius, G. A., Johnson, C., Britz, P., Meredith, G., et al. (2005). Itʼs not the heat, it's the humidity: wet weather increases legionellosis risk in the greater Philadelphia metropolitan area. The Journal of infectious diseases, 192(12), 2066-73. Francis, B.M., Moseley, L. And Iyare, S.O. (2007). Energy consumption and projected growth in selected Caribbean countries. Energy Economics 29: 1224-1232. Frei, C., Schiir, C., Liithi, D., & Davies, H. C. (1998). Heavy precipitation processes in a warmer climate. Science, 25(9), 1431-1434. French, W. (2001). Coastal Defence: processes, problems and solutions. London, Routledge. Friedman, M. A, Fleming, L. E., Fernandez, M., Bienfang, P., Schrank, K., Dickey, R., et al. (2008). Ciguatera fish poisoning: treatment, prevention and management. Marine drugs, 6(3), 456 – 479. Gallup, J. L., and Sachs, J. D. (2001).The economic burden of malaria.The American journal of tropical medicine and hygiene, 64(1-2 Suppl), 85-96. GDRC. (n.d.). UNEP: Gender and environment. Gender and Development. Accessed: 11/01/10 from Global Development Research Center: http://www.gdrc.org/gender/a21/unep-gender-environment.html. 188 German Advisory Council. (2007). World in Transition: Climate Change as a Security Risk. Berlin, Germany: German Advisory Council on Global Change. Giddens, A., (2009): The Politics of Climate Change. Polity Press, Cambridge, UK. Gilbert, L. (2009). Environment Ministry launches programme to stem coastal zone erosion- April 7. Retrieved 1/6/2011, from The Commonwealth of The Bahamas: http://www.bahamas.gov.bs/bahamasweb2/home.nsf/ Gittens, L., & Braynen, M. T. (2002). Report on the spiny lobster fisheries of The Bahamas. Fisheries and Aquaculture Department. Rome, Italy: Food and Agriculture Organization of the United Nations. Global Humanitarian Forum, (2009): Human Impact of Climate Change. Retrieved 29/3/2011 from http://www.ghf-geneva.org/Portals/0/pdfs/2009forumreport.pdf. Gössling, S. (2005). Tourism’s contribution to global environmental change: space, energy, disease and water. In C. M. Hall and J. E. S. Higham (Eds.), Aspects of Tourism: Tourism, recreation and climate change (pp. 286 - 295). Clevedon: Channel View Publications. Gössling, S. (2010). Carbon Management in Tourism: Mitigating the Impacts on Climate Change. London: Routledge. Gössling, S. and Schumacher, K. (2010). Implementing carbon neutral destination policies: issues from the Seychelles. Journal of Sustainable Tourism 18(3), 377-391. Gössling, S. and Upham, P. (2009). Introduction: Aviation and Climate Change in Context. In Gössling, S. and Upham, P. (eds) Climate Change and Aviation. Earthscan, pp. 1-23. Gössling, S., Peeters, P., and Scott, D. (2008). Consequences of climate policy for international tourist arrivals in developing countries. Third World Quarterly, 29(5): 873-901. Gössling, S., Peeters, P., Ceron, J.-P., Dubois, G., Pattersson, T., and Richardson, R. (2005). The Ecoefficiency of tourism. Ecological Economics 54(4): 417-434. Government of The Bahamas. (2004). The Bahamas National Assessment Report for the Ten-Year Review for the Implementation of the Barbados Programme of Action. Nassau, Bahamas: Government of The Bahamas. Gray, A.V. (2002). Statement on the State of Agriculture and Food Security in The Bahamas. World Food Summit. FAO, Italy. Grinsted, A., Moore, J. C., & Jevrejeva, S. (2009). Reconstructing Sea Level from Paleo And Projected Temperatures 200 to 2100 AD. Climate Dynamics, 34, 461–472. Gubler, D J, Reiter, P,Ebi, K L, Yap, W., Nasci, R., and Patz, J. A. (2001). Climate variability and change in the United States: potential impacts on vector- and rodent-borne diseases. Environmental health perspectives, 109 Suppl (May), 223-33. Gubler, D. J. (1998). Dengue and dengue hemorrhagic fever. Clinical microbiology reviews, 11(3), 480-96. Gubler, Duane J. (2002). Epidemic dengue/dengue hemorrhagic fever as a public health, social and economic problem in the 21st century. Trends in microbiology, 10(2), 100-3. 189 Hajat, S., OʼConnor, M., and Kosatsky, T. (2010). Health effects of hot weather: from awareness of risk factors to effective health protection. Lancet, 375(9717), 856-63. Hales, S, deWet, N., Maindonald, J., and Woodward, A. (2002). Potential effect of population and climate changes on global distribution of dengue fever: an empirical model. Lancet, 360(9336), 830-4. Hales, S., Weinstein, P., and Woodard, A. (1996). Dengue fever epidemics in the South Pacific: driven by El Niño Southern Oscillation? The Lancet, 348, 1664-1665. Hall, C.M., Scott, D., and Gössling, S. (2009). Tourism, Development and Climate Change. In: D'Mello, C., Minninger, S. and McKeown, J. (eds) Disaster Prevention in Tourism - Climate Justice and Tourism. Chiang Mai: Ecumenical Coalition On Tourism and German Church Development Service (EED), pp. 136161. Hall, T. M., Waugh, D. W., Haine, T. W. N., Robbins, P. E. and Khatiwala, S. (2004). Estimates of anthropogenic carbon in the Indian Ocean with allowance for mixing and time-varying air-sea CO2 disequilibrium. Global Biogeochemical Cycles, 18. Hamilton, J. M., and Tol, R. S. J. (2004).The impact of climate change on tourism and recreation.Working Papers FNU-52.Research Unit Sustainability and Global Change, Hamburg University, revised Nov 2004, 27. Hamm, L., Capobiancob, M., Dettec, H., Lechugad, A., Spanhoffe, R., & Stivef, M. (2002). A summary of European experience with shore nourishment. Coastal Engineering, 47, 237-264. Haraksingh, I. (2001). Renewable energy policy development in the Caribbean. Renewable Energy 24: 647655. Hartnell, N. (2009, August 25). IDB initiative to develop 10-year Water Corp plan. The Tribune. Retrieved on 20/04/2011 from http://www.tribune242.com/08252009_Water_business_Page-1-5. Harvey, M. and Pilgrim, S. (2011). The new competition for land: food, energy, and climate change. Food Policy 36, Supplement 1: S40-S51. Headley, O.St.C. (1998). Solar thermal applications in the West Indies. Renewable Energy 15: 257-263. Hickman, R. and D. Banister, (2007): Looking over the horizon: Transport and reduced CO2 emissions in the UK by 2030. Transport Policy, 14(5): 377-387. Hixon, M., Albins, M., & Redinger, T. (2009). Lionfish Invasion: Super Predator Threatens Caribbean Coral Reefs- March 9. Retrieved 1/28/2011, from NOAA's Undersea Research Program (NURP): http://www.nurp.noaa.gov/Spotlight/Lionfish_2009.html Hobday, A., Okey, T., Poloczanska, E., Kunz, T., & Richardson, A. (2006). Impacts of climate change on Australian marine life:Part C. Literature Review. Department of the Environment and Heritage. Canberra, Australia: Australian Greenhouse Office. Hopp, M. J., and Foley, J. A. (2001). Global-scale relationships between climate and the dengue fever vector, Aedesaegypti. Climatic Change, 48, 441-463. Horsley, S. & Sikirica, V. (2001). Integrated Coastal Zone Management has to become a way of life for The Bahamas. Horsley & Witten, Inc. and the Inter-American Development Bank. The Bahamas. 190 Horton, R, Herweijer, C, Rosenzweig,C, Liu, J, Gornitz,V. & Ruane, A. (2008). Sea Level Projections for Current Generation CGCMs based on semi-empirical method. Geophysical Research Letters, 35, L02715. Hospedales C. J., Joseph C., Lee J., Lewis-Belle K., Michael L., Francis M., (1997). International investigation of an outbreak of legionnaires’ disease at a major hotel associated with potable water-Antigua. West Indian Medical Journal 1997; 46 (Suppl 2): 31. Hsieh, Y.-H., and Chen, C. W. S. (2009).Turning points, reproduction number, and impact of climatological events for multi-wave dengue outbreaks.Tropical medicine and international health, 14(6), 628-38. Hu, A., Meehl, G., Han, W & Yin, J. (2009). Transient response of the MOC and climate to potential melting of the Greenland Ice Sheet in the 21st century. Geophysical Research Letters 36, L10707. Hyde, K. M., Maier, H. R., and Colby, C. B. (2004). Reliability-Based Approach to Multicriteria Decision Analysis for Water Resources. Journal of Water Resources Planning and Management Water Resources, 130(6), 429-438. IAMAT. (2011). Travel Health Advice: Disease Risks, Bahamas. International Association of Medical Assistance to Travels (IAMAT). Retrieved on 20/04/2011 from http://www.iamat.org/country_profile.cfm?id=147&risks=1. IATA (2009) The IATA Technology Roadmap Report. Retrieved 8/5/2011 from International Air Transport Association: http://www.iata.org/SiteCollectionDocuments/Documents/Technology_Roadmap_May2009.pdf ICFC. (2002). The Bahamas National Report Integrating Management of Watersheds and Coastal Areas in Small Island Developing States (SIDS) of the Caribbean. Inner City Fund Consulting (ICFC), Virginia. (pp. 166). IDB and the World Bank, (2009): Climate Investment Funds. Proposal Prepared by the Inter-American Development Bank and World Bank Group for PPCR Regional Programme for the Caribbean, 7pp. Retrieved 11/01/10 from http://www.climateinvestmentfunds.org/. IEA (International Energy Agency) (2009). World Energy Outlook 2009. Paris: International Energy Agency. Inter-American Institute for Cooperation on Agriculture. (2005). IICA Bahamas 2004 annual report: IICA’s contribution to the development of agriculture and rural communities in Bahamas. San Jose, C.R: IICA. Inter-American Institute for Cooperation on Agriculture. (2010). IICA Bahamas 2009 annual report: IICA’s contribution to the development of agriculture and rural communities in Bahamas. San Jose, C.R: IICA. International Energy Agency (IEA). (2010). Press Release: Recent policy moves a start, but much stronger action is needed to accelerate the transformation of the global energy system, says the IEA's latest World Energy Outlook. Retrieved 8/5/2011 from: http://www.iea.org/press/pressdetail.asp?PRESS_REL_ID=402 International Federation of Red Cross and Red Crescent Societies. (2004). Bahamas Hurricane Jeanne Appeal No. 23/04 Operation Update No. 1. - November 1, 2004. Bahamas/Caribbean. IPCC. (2007). Fourth Assessment Report: Climate Change 2007. Intergovernmental Panel on Climate Change Cambridge: Cambridge University Press. 191 IPCC. (2007a): Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Solomon, S., D. Qin, M. Manning, Z. Chen, M. Marquis, K. B. Averyt, M. Tignor and H. L. Miller, (eds.), Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA. IPCC. (2007b). Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Parry, M. L., O. F. Canziani, J. P. Palutikof, P. J. van der Linden and C. E. Hanson, (eds.), Cambridge University Press, Cambridge, UK, pp. 7-22. IPCC. (2007c). Fourth Assessment Report, Climate Change 2007: Synthesis Report, An Assessment of the Intergovernmental Panel on Climate Change. Cambridge, UK: Cambridge University Press. ISDR. (2005). Hyogo Framework for Action 2005-2015: Building the Resilience of Nations and Communities to Disaster. Kobe, Japan: International Strategy for Disaster Reduction. IUCN. (2005). Mangrove forests saved lives in 2004 tsunami disaster. News Release, International Union for Conservation of Nature, Bangkok, Colombo. Jackson, I. (2003). Case Study: Impact of Severe Weather Events on Tourism in The Bahamas. Landscape Architecture, Seminar on Climate Change and Severe Weather Events in Asia and the Caribbean, Barbados, Ivor Jackson and Associates. (p. 53). Jansen, A., Schöneberg, I., Frank, C., Alpers, K., Schneider, T., and Stark, K. (2005). Leptospirosis in Germany, 1962-2003. Emerging infectious diseases, 11(7), 1048-54. Jelinek, T. (2000).Dengue Fever in International Travelers.Journal of Tropical Medicine and Hygiene, 31, 144-147. Jevrejeva, S., Moore, J.C., & Grinsted. (In Press). Recent Global Sea Level Acceleration Started over 200 years ago? Geophysical Research Letters, doi:10.1029/2010GL042947. Johansson, B. (2000). The Carbon Tax in Sweden. In Organization for Economic Co-operation and Development (OECD) Innovation and the Environment. OECD Proceedings, Paris. Jones, E. (2005). Commonwealth of The Bahamas "The Bahamas" National Hurricane Response 2004: Report on Findings. Kingston, Jamaica: UNDP. Jones, E. B. (2005). Commonwealth of The Bahamas “ The Bahamas ” National Hurricane Response 2004 Report on Findings. Environmental Solutions Ltd., Kingston. (p. 24). Jones, L., Alcolado, P. M., Cala, Y., CobiÁn, D., Coelho, V., Hernández, A., et al. (2007). The effects of coral bleaching in the Northern Caribbean and Western Atlantic. In C. Wilkinson, & D. Souter, Status of Caribbean Coral Reefs after Bleaching and Hurricanes in 2005 (p. 152). Townesville: Global Coral Reef Monitoring Network, and Reef and Rainforest Research Centre. Karanjac, J. (2004). Seawater Intrusion in Coastal Aquifers – A Danger to Sustainable Water Supply and Economy of Island Countries. BALWOIS, First International Conference on Water Observation and Information System for Decision Support, Ohrid, FY Republic of Macedonia, 25-29th May, 2004. Karleskint, G., Turner, R., & Small, J. (2009). Introduction to marine biology (3 ed.). Belmont, CA, USA: Cengage Learning. 192 Kerr, J. (2006). Introduction. Retrieved 5/3/2011, from Abaco Life: http://www.abacolife.com/intro.html Knutson, T. R., and Tuleya, R. E. (2004). Impact of CO2 -Induced Warming on Simulated Hurricane Intensity and Precipitation: Sensitivity to the Choice of Climate Model and Convective Parameterization. Journal of Climate, 17(18), 3477-3495. Krauss, N. & McDougal, W. (1996). The effects of sea-walls on the Beach: an updated literature review. Journal of Coastal Research, 12(3), 691-701 Lamberta, E., Hunter, C., Pierce, G. J., & MacLeod, C. D. (2010). Sustainable whale-watching tourism and climate change: towards a framework of resilience. Journal of Sustainable Tourism, 18 (3), 409-427. Lasco, R., Cruz, R., Pulhin, J., & Pulhin, F. (2006) Tradeoff analysis of adaptation strategies for natural resources, water resources and local institutions in the Philippines. AIACC Working Paper No. 32, International START Secretariat, Washington, District of Columbia. Lewis, W., Dehesa, M., Faria, A., and Verreydt, E. (2005). The Bahamas: Selected Issues and Statistical Appendix, Washington, D.C. (p. 82). Lewsey, C., Cid, G., and Kruse, E. (2004). Assessing climate change impacts on coastal infrastructure in the Eastern Caribbean. Marine Policy, 28(5), 393-409. Linton, D., Smith, R., Alcolado, P., Hanson, C., Edwards, P., Estrada, R., et al. (2002). Status of coral reefs in the northern Caribbean and Atlantic node of the GCRMN. In C. Wilkinson (Ed.), Status of coral reefs of the world: 2002 (pp. 277-302). Townsville: Australian Institute of Marine Science GCRMN Report. Lorde, T., Waithe, K. and Francis, B. (2010). The importance of electrical energy for economic growth in Barbados. Energy Economics 32: 1411-1420. Lowe, A. (2011). Shark dives bite off $78m tourism spend- January 7. Retrieved 9/1/2011 from http://www.tribune242.com/business/01072011_alsharks_business_pg1-Lead Lucayan Tropical Produce. (2010). Lucayan Tropical Produce : Hydroponic Greenhouse Produce. Retrieved 27/4/2011 from http://www.lucayantropical.com/. MAMR. (2010). Final Five Year Sector Strategic Plan 2010 – 1014. Ministry of Agriculture & Marine Resources, Department of Marine Resources. Nassau: Government of The Bahamas. Martens, Willem J. M., Jetten, T. H., and Focks, Dana A. (1997).Sensitivity of malaria, schistosomiasis and dengue to global warming.Climatic Change, 35, 145-156. Mayor, K. and Tol, R.S.J. (2007). The impact of the UK aviation tax on carbon dioxide emissions and visitor numbers. Transport Policy 14: 507-513. Mayor, K. and Tol, R.S.J. (2008). The impact of the EU-US Open Skies agreement on international travel and carbon dioxide emissions. Journal of Air Transport Management 14: 1-7. Mayor, K. and Tol, R.S.J. (2009) Aviation and the environment in the context of the EU-US Open Skies agreement. Journal of Air Transport Management 15: 90-95. Mayor, K. and Tol, R.S.J. (2010a) Scenarios of carbon dioxide emissions from aviation. Global Environmental Change 20: 65-73. 193 Mayor, K. and Tol, R.S.J. (2010b). The impact of European climate change regulations on international tourist markets. Transportation Research Part D 15: 26-36. McAller, M., Shareef, R. and da Veiga, B. (2005). Managing Daily Tourism Tax Revenue Risk for the Maldives Retrieved 8/5/2011 from http://www.mssanz.org.au/modsim05/papers/mcaleer.pdf. McLeod, E., & Salm, R. V. (2006). Managing Mangroves for Resilience to Climate Change. Gland, Switzerland: IUCN. Meade, B. and Pringle, J. (2001). Environmental Management Systems for Caribbean Hotels and Resorts: A Case Study of Five Properties in Jamaica. Journal of Quality Assurance in Hospitality and Tourism 2(3): 149-159. Meteorology Department. (2011). Early Warning System. Retrieved 8/5/2011, from The Bahamas Meteorology Department: http://www.bahamasweather.org.bs/index.php?page=warningsystem Miglino, L., Killmer, A., Corral, L., Mellinger, Y., Barreda, G., Buchsbaum, B., et al. (2003). Concept Note: Master Plan for Integrated Coastal Zone Management. Ministry of Energy and Environment/Bahamas Environmantal, Science and Technology (BEST) Commission. Mimura, N., Nurse, L., McLean, R.F., Agard, J., Briguglio, P., Payet, R. & Sern, G. (2007). Small Islands. Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, M.L.Parry, O.F.Canziani, J.P.Palutikof, P.J. van der Linden and C.E.Hanson, Eds., Cambridge University Press, Cambridge, UK.: 687716. Min, S.-K., Zhang, X., Zwiers, F. W., and Hegerl, G. C. (2011). Human contribution to more-intense precipitation extremes. Nature, 470(7334), 378-381. Nature Publishing Group. Minns, L. (2010). The Bahamas’ Top Thirty Crops. Bahamas Agricultural Producers Association (BAPA). Minooee, A., and Rickman, L. S. (1999). Infectious Diseases on Cruise Ships Are. Clinical infectious diseases, 92103(June), 737-743. MOF. (2008). The Central Bank of The Bahamas Annual Report and Statement of Accounts for the Year Ended 31 December, 2008. Ministry of Finance. Nassau. MOF. (2010). The Central Bank of The Bahamas Annual Report and Statement of Accounts for the Year Ended 31 December 2009, Ministry of Finance, Nassau. (p. 73). Moreno, A. R. (2006). Climate change and human health in Latin America: drivers, effects, and policies. Regional Environmental Change, 6(3), 157-164. MoT. (2009). Expenditure. Retrieved 3/28/2011, from Bahamas Ministry of Tourism, Tourism Today: http://www.tourismtoday.com/home/statistics/expenditure/ MoT. (2011). Explore the Abacos. Retrieved 4/25/2011, from Bahamas Ministry of Tourism: The Islands of The Bahamas: http://www.bahamas.com/out-islands/abaco-islands/map Muhs, D. R., Budahn, J. R., Prospero, J. M., and Carey, S. N. (2007). Geochemical evidence for African dust inputs to soils of western Atlantic islands: Barbados, The Bahamas, and Florida. Journal of Geophysical Research, 112(F2). 194 Mumby, P. J., & Harborne, A. R. (2010). Marine reserves enhance the recovery of corals on Caribbean Reefs. PLoS ONE , (e8657. doi:10.1371/journal.pone.0008657). Myers, R., Wade, D., & Bergh, C. (2004). Fire management assessment of the Caribbean Pine (Pinus caribea) forest ecosystems on Andros and Abaco Islands, Bahamas. Arlington, VA: The Nature Conservancy. Nagalingam, N. A., Adesiyun, A. A., Swanston, W. H., and Bartholomew, M. (2005). Seroprevalence of Legionella pneumophila in Pneumonia Patients in Four Major Hospitals in Trinidad and Tobago.West Indian Medical Journal, 54(6), 375-378. NCCC; BEST. (2005). National policy for the adaptation to climate change. Nassau, Bahamas: Government of The Bahamas: The National Climate Change Committee, The Bahamas Environment Science and Technology Commission. Nelson, V. (2010). Investigating energy issues in Dominica’s accommodations. Tourism and Hospitality Research 10(4): 345-358 NEMA. (2005). Committee Duties. Retrieved 10/2/2011, from The Commonwealth of Bahamas: National Emergency Management Agency (NEMA): http://www.bahamas.gov.bs/bahamasweb2/home.nsf/vContentW/066C7908C0DA105B85256FE3006F7 65F NEPC. (2008). The Bahamas National Energy Policy - November 2008. Nassau: Government of Bahamas, National Energy Policy Committee. Nicholls, R. & Mimura, N. (1998). Regional issues raised by sea-level rise and their policy implications. Climate Research, 11(1), 5-18. Nicholls, R. P. (2007). Coastal systems and low-lying areas. Climate Change Impacts, Adaptation and Vulnerability. Cambridge, UK: Cambridge University Press. Nygren, E., Aleklett, K. & Höök, M. (2009). Aviation fuel and future oil production scenarios. Energy Policy, 37(10), 4003-4010. O’Connor, S., Campbell, R., Cortez, H., & T.Knowles. (2009). Whale Watching Worldwide: tourism numbers, expenditures and expanding economic benefits. Yarmouth, MA: Economist at Large. Organization of Economic Co-operation and Development (OECD) (2009). The Economics of Climate Change Mitigation. Paris: OECD. Organization of Economic Co-operation and Development (OECD) (2010). Taxation, Innovation and the Environment. Paris: OECD. Orlove, B. (2005) Human adaptation to climate change: a review of three historical cases and some general perspectives. Environmental Science and Policy, 8, 589-600. PAHO. (2007). The Bahamas Health in the Americas. Volume II, PAHO, Washington D. C., (pp. 61 - 72). Parry, M., N. Arnell, P. Berry, D. Dodman, S. Fankhauser, C. Hope, S. Kovats, R. Nicholls, D. et al. (2009): Assessing the Costs of Adaptation to Climate Change: A Review of the UNFCCC and Other Recent Estimates. International Institute for Environment and Development (IIED) and Grantham Institute for Climate Change, London, UK. 195 Patel, S. (2006) Climate science: A sinking feeling. Nature, 440. 734-736. Patz, J. A., Martens, Willem J M, Focks, Dana A., and Jetten, T. H. (1998). Dengue Fever Epidemic Potential of Global Climate Change Projected by General Circulation Models.Environmental Health, 106(3), 147153. Patz, J. A., McGeehin, M. A., Bernard, S., Ebi, M., Kristie L., Epstein, Paul R., Grambsch, A., et al. (2000). The potential health impacts of climate variability and change for the United States. Executive summary of the report of the health sector of the U.S. National Assessment. Environmental Health Perspectives, 108(4), 367-376. Pentelow, L. and D. Scott, (2010): The implications of climate change mitigation policy and oil price volatility for tourism arrivals to the Caribbean. Tourism and Hospitality Planning and Development, 7(3), 301-315. Pinheiro, F. P., and Corber, S. J., (1997).Global situation of dengue and dengue haemorrhagic fever, and its emergence in the Americas.World Health Statistics, 50, 161-8. Poesen, J. (2003). Gully erosion and environmental change: importance and research needs. Catena, 50(24), 91-133. PricewaterhouseCoopers. (2010). Appetite for Change. Global business perspectives on tax and regulation for a low carbon economy. Retrieved 4/5/2011 from: www.pwc.com/appetiteforchange Prospero, J. M., and Lamb, P. J. (2003). African droughts and dust transport to the Caribbean: climate change implications. Science (New York, N.Y.), 302(5647), 1024-7. Prospero, J. M., Blades, E., Naidu, R., Mathison, G., Thani, H., and Lavoie, M. C. (2008). Relationship between African dust carried in the Atlantic trade winds and surges in pediatric asthma attendances in the Caribbean. International journal of biometeorology, 52(8). Rahmstorf, S. (2007). A Semi-Empirical Approach to Projecting Future Sea-Level Rise. Science, 315(5810), 368-370. Rathcke, B., & Landry, C. (2003). Dispersal and recruitment of White Mangrove on San Salvador Island, Bahamas after Hurricane Flloyd. In D. L. Smith, S. Smith, & V. J. Voegeli (Ed.), Proceedings of the ninth symposium on the natural history of The Bahamas (pp. 34-40). San Slavador, Bahamas: Gerace Research Centre. Rawlins, S C, Hinds, A., and Rawlins, J. M. (2008). Malaria and its Vectors in the Caribbean: The Continuing Challenge of the Disease Forty-Five Years after Eradication from the Islands. Public Health, 57(5), 462469. ReliefWeb. (2011). Countries + Disasters: Bahamas (the). Retrieved 21/4/2011, from ReliefWeb: http://reliefweb.int/taxonomy/term/29 Rigau-Pérez, J. G., Clark, G. G., Gubler, Duane J., Reiter, P., Sanders, E. J., and Vorndam, A. V., (1998).Dengue and dengue haemorrhagic fever. The Lancet, 352(9132), 971-977. RLB. (2010). Construction Market Intelligence: Caribbean Report. Rider Levett Bucknall. Rolle, N. (2007). Crabbing business grows in Andros – June 15. Retrieved 14/12/2010 from The Bahamas Journal: http://www.jonesbahamas.com/?c=47&a=12993 196 Rose, J B, Epstein, P R, Lipp, E. K., Sherman, B. H., Bernard, S M, andPatz, J A. (2001). Climate variability and change in the United States: potential impacts on water- and foodborne diseases caused by microbiologic agents. Environmental health perspectives, 109 Suppl (May), 211-21. Rothengatter, W. (2009). Climate Change and the Contribution of Transport: Basic Facts and the Role of Aviation, Transportation Research Part D, 15(1): 5–13. Sachan, N., and Singh, V. P., (2010).Effect of climatic changes on the prevalence of zoonotic diseases. Veterinary World, 3(11), 519-522. Sanford, C. (2004). Urban medicine: threats to health of travelers to developing world cities. Journal of travel medicine, 11(5), 313-27. Scanlon, B. R., Reedy, R. C., Stonestrom, D. A, Prudic, D. E., and Dennehy, K. F. (2005). Impact of land use and land cover change on groundwater recharge and quality in the southwestern US. Global Change Biology, 11(10), 1577-1593. Schiff, A. and Becken, S. (2010). Demand elasticity estimates for New Zealand tourism. Tourism Management 32(3): 564-575. Scott, D., P. Peeters and S. Gössling, (2010): Can tourism ‘seal the deal’ of its mitigation commitments? The challenge of achieving ‘aspirational’ emission reduction targets. Journal of Sustainable Tourism 18(2). Scott, D., S. Gossling and C. de Freitas, (2008): Preferred climate for tourism: Case studies from Canada, New Zealand and Sweden. Climate Research, 38(1), 61-73. SEDU. (2002). Environmental Management Insertion in Tourism Sector Policies in the Caribbean. Tourism (p. 190). The Sustainable Economic Development Unit, The University of the West Indies, St. Augustine. SENES Consulting Inc. (2005). National Environmental Management Action Plan (NEMAP) for The Bahamas. Richmond Hill, Canada: SENES Consulting Inc. Shih, J. and Revelle, C. (1994). Water-Supply operations during drought: Continuous Hedging Rule. Journal of Water Resources Planning and Management, 120(5), 613-629. Shirley, H. G. (2005). The Economics of Disaster Mitigation in the Caribbean: Quantifying Benefits and Costs of Mitigating Natural Hazard Losses - Lessons Learned from the 2004 Hurricane Season. August Policy Series (7). Caribbean: Organization of American States, Office for Sustainable Development and Environment. Shurland, D., & de Jong, P. (2008). Disaster Risk Management for Coastal Tourism Destinations Responding to Climate Change: A Practical Guide for Decision Makers. Paris: UNEP. Silvester, R. & Hsu, J. (1993). Coastal Stabilization-Innovative Concepts. Prentice Hall, Englewood Cliffs, New Jersey. Simpson, M., Gossling, S. and Scott, D. (2008): Report on the International Policy and Market Response to Global Warming and the Challenges and Opportunities that Climate Change Issues Present for the Caribbean Tourism Sector. Caribbean Regional Sustainable Tourism Development Programme (CRSTDP), Caribbean Tourism Organization, Barbados. Simpson, M., Scott, D., Harrison, M., Silver, N., O’Keeffe, E., Harrison, S., et al. (2010). Quantification and Magnitude of Losses and Damages Resulting from the Impacts of Climate Change: Modelling the 197 Transformational Impacts and Costs of Sea Level Rise in the Caribbean. Barbados: United Nations Development Programme (UNDP). Small, M. (2004). Storms slowing tourist arrivals - October 6. Retrieved 21/2/2011, from The Nassau Guardian: http://archive.nassauguardian.net/archive_detail.php?archiveFile=./pubfiles/nas/archive/2004/October /06/NationalNews/147535.xml&start=0&numPer=20&keyword=hurricane+jeanne§ionSearch=Nati onal+News&begindate=1%2F1%2F2002&enddate=2%2F21%2F2011&authorSearc Smith, D., Zapata, R., & Meli, R. (2007). Information on disaster risk management. Case studies of five countries: Jamaica. Mexico City: United Nations. Smith, L. (2011). 'Greatest single threat' to Bahamas seafood resources – January 26. Retrieved 1/26/2011 from The Tribune: http://www.tribune242.com/editorial/Column/01262011_ToughCall_opinion_pg8 Spence, B., (2005): Jamaica National Hazard Mitigation Policy. Prepared by the Jamaica National Hazard Mitigation Policy Development Committee for the Caribbean Development Bank. Kingston, Jamaica, 23pp. Accessed 11/01/10:http://www.caribank.org/ Spencer, O., Nelson, M., Miller, S., Forsythe, C., Florestal, K., Saavedra, J. J., et al. (2010). IDB Country Strategy with The Commonwealth of The Bahamas 2010 - 2014. Inter-American Development Bank, Washington D. C. Stern, N., (2006): The Economics of Climate Change. Cambridge University Press, Cambridge, UK. Sterner, T. (2007) Fuel taxes: An important instrument for climate policy. Energy Policy 35: 3194-3202. Stoner, A., & Ray, M. (1996). Queen conch, Strombus gigas, in fished and unfished locations of The Bahamas: effects of a marine fishery reserve on adults, juveniles, and larval production. Fishery Bulletin , 551-565. Strachan, I. G. (2010). Water and Sustainable Living in The Bahamas: An Interview with Sam Duncome, Environmental Activist and Founder of Re-Earth. Lacayos, 2, 1 -11. Stutley, C. (2009). Hurricane Index (Coupon) Insurance for Small Farmers, Livestock producers and Fishermen in The Bahamas: an FAO Feasibility Case-Study. Georgetown: Guyana. Tester, P. A, Feldman, R. L., Nau, A. W., Kibler, S. R., and Litaker, R. W., (2010). Ciguatera fish poisoning and sea surface temperatures in the Caribbean Sea and the West Indies. Toxicon, 56(5), 698-710. Elsevier Ltd. The Bahamas Weekly. (2010). All Andros Crab Fest- July 3. Retrieved 12/14/2010 from The Bahamas Weekly: http://www.thebahamasweekly.com/ The CARIBSAVE Partnership. (2009). CCCRA destination profile report: Bahamas-Eleuthera. Bridgetown, Barbados: The CARIBSAVE Partnership. The College of The Bahamas. (2005). Haitian Migrants in The Bahamas. Bahamas: The College of The Bahamas. The Eleutheran. (2011). Eleuthera participates in Bahamas National Gender Policy Development Process. Retrieved on 13 March 2012 from The Eleutheran: http://www.eleutheranews.com/local/1790.html 198 Tol, R.S.J. (2007). The impact of a carbon tax on international tourism. Transportation Research Part D 12:129-142. Trapp, J. M., Millero, F. J., and Prospero, J. M., (2010). Temporal variability of the elemental composition of African dust measured in trade wind aerosols at Barbados and Miami. Marine Chemistry, 120(1-4), 7182. Elsevier B.V. Trenberth, K. (2005). and Global Warming. Paleobiology, 308(June), 1753-1754. Trotman A., Gordon R. M., Hutchinson S. D., Singh R., McRae-Smith D. (2009) Policy responses to GEC impacts on food availability and affordability in the Caribbean community. Environmental science and policy, 12, 529-541. UK Energy Research Centre (UKERC). (2009). Global Oil Depletion. An assessment of the evidence for a near-term peak in global oil production. Retrieved 8/5/2011 from: http://www.ukerc.ac.uk/support/tikiindex.php?page=Global+Oil+Depletion. UNDP, (n.d.): UNDP’s Eight-Point Agenda for Women’s Empowerment and Gender Equality in Crisis Prevention and Recovery. United Nations Development Programme (UNDP). Accessed 11/01/10: http://www.undp.org.cu/crmi/docs/undp-8ptagenda-in-2008-en.pdf. UNDP. (2010). Human Development Report 2010 The Real Wealth of Nations: Pathways to Human Development. Human Development Reports, New York, (p. 143). UNECLAC, UNIFEM and UNDP, (2005):Grenada: A Gender Impact Assessment of Hurricane Ivan - Making the Invisible Visible. United Nations Economic Commission for Latin America and the Caribbean (UNECLAC), Port-of-Spain, Trinidad and Tobago, 41pp. LC/CAR/L.48. UNEP. (2010): Climate change and disaster management. Gender and the Environment. Retreived 11/01/10 United Nations Environment Programme http://www.unep.org/gender_env/. UNEP. (2007). Environment and Vulnerability: Emerging Perspectives. UN International Strategy for Disaster Reduction- Environment and Disaster Working Group. Geneva: United Nations Environment Programme. UNEP. (2008). Disaster Risk Management For Coastal Tourism Destinations Responding to Climate Change. Paris, France: United Nations Environment Programme. UNESCO. (2008). Understanding Climate Change and Linked Human Impacts on Groundwater Resources of the Caribbean: A Collaborative GRAPHIC Case Study in The Bahamas - UNESCO Graphic Project “Groundwater Resources Assessment under the Pressures of Humanity and Climate Change”. United Nations Educational, Scientific and Cultural Organization, Paris. (p. 19). UNISDR, (2008): Gender Perspectives: Integrating Disaster Risk Reduction into Climate Change Adaptation: Good Practices and Lessons Learned. United Nations International Strategy for Disaster Reduction (UNISDR), Geneva, Switzerland, 76pp. Accessed 11/01/10: http://www.undp.org.cu/crmi/docs/isdrgenpgoodpr-bp-2008-en.pdf. UNISDR, UNDP and IUCN, (2009): Making Disaster Risk Reduction Gender-Sensitive: Policy and Practical Guidelines. United Nations International Strategy for Disaster Reduction (UNISDR), United Nations Development Programme (UNDP) and the International Union for the Conservation of Nature (IUCN), 199 Geneva, Switzerland, 152pp. drrgensensitive-fw-2009-en.pdf. Retrieved 11/01/10. http://www.undp.org.cu/crmi/docs/isdr- United Nations World Tourism Organization (UNWTO). (2010). World Tourism Organization Statement Regarding Mitigation of Greenhouse Gas Emissions from Air Passenger Transport. United Nations. (2002). Bahamas Country Profile. Johannesburg Summit. Johannesburg: South Africa. UN-OHRLLS. (2009). The Impact of Climate Change on the Development Prospects of the Least Developed Countries and Small Island Developing States. New York, USA: Office of the High Representative for the Least Developed Countries, Landlocked Developing Countries and Small Island Developing States. USACE. (2004). Water Resources Assessment of The Bahamas, US Army Corps of Engineers, Mobile District & Topographic Engineering Center, (p. 88). Vermeer, M. & Rahmstorf, S. (2009). Global sea level linked to global temperature. Proceedings, National Academy of Sciences, 106(51), 21527–21532. WEF. (2009). Climate Policies: From Kyoto to Copenhagen. Retrieved 8/5/2011 from: World Economic Forum: http://www.weforum.org/en/knowledge/Themes/Enviroment/ClimateChange/KN_SESS_SUMM _28001?url=/en/knowledge/Themes/Enviroment/ClimateChange/KN_SESS_SUMM_28001. Werner, A. D., & Simmons, C. T. (2009). Impact of sea-level rise on sea water intrusion in coastal aquifers. Ground water, 47(2), 197-204. White, N. J., Church, J. A., & Gregory, J. M. (2005). Coastal and global averaged sea level rise for 1950 to 2000. Geophysical Research Letters, 32(1) WHO. (2008). Bahamas: Country Health Profile. World Health Organization. Retrieved 22/04/2011 from http://www.who.int/gho/countries/bhs.pdf. WHO. (2011). The Bahamas: National Health Accounts, Programmes and Projects. World Health Organization. Retrieved on 22/04/2011, from http://www.who.int/nha/country/bhs.pdf. Wichmann, O., Mühlberger, N., and Jelinek, T. (2003). Dengue - the underestimated risk in Travellers. In C. Prasittisuk (Ed.), Dengue Bulletin (Vol. 27, pp. 126-137). New Delhi: WHO/SEARO. Wilder-Smith, A., and Schwartz, E. (2005).Dengue in Travellers.The New England Journal of Medicine, 353, 924-932. Williams, J.L. (2010). WTRG Economics. Retrieved 3/5/2011 from www.wtrg.com. Woon, G. (2008). Mangrove Action Project- July 26. Retrieved 2/6/2011, from Residents in uproar over Martin Marietta Bahama Rock plans for expansion at http://mangroveactionproject.org Worfolk, J. B. (2000). Heat waves the Impact on the Health of Elders Geriatric Nursing. Geriatric Nursing, 21(2), 70-77. World Bank. (2012). The World Bank Adaptation Guidance Notes - Key Words and Definitions. Retrieved February 14, 2012 from http://climatechange.worldbank.org/climatechange/content/adaptationguidance-notes-key-words-and-definitions. 200 World Tourism and Travel Council (WTTC). (2010). Climate change – a joint approach to addressing the challenge. Retrieved 8/5/2011 from: http://www.wttc.org/bin/pdf/original_pdf_file/climate_change__a_joint_appro.pdf. WSC. (2011). Fresh Water Resources. Retrieved 06/04/2011 from the Water and Sewerage Corporation: http://www.wsc.com.bs/waterresources.asp. Zhang, K., Douglas, B. & Leatherman, S. (2004). Global warming and coastal erosion. Climatic Change, 64, 41-58. Zhang, Y.-K., & Schilling, K. (2006). Effects of land cover on water table, soil moisture, evapotranspiration, and groundwater recharge: A Field observation and analysis. Journal of Hydrology, 319(1-4), 328-338. 201
© Copyright 2026 Paperzz