12/05/2016 Theme 2 Food, forestry and rural livelihoods Climate change adaptation with mitigation co-benefits in forests and woodlands Linkages between forests and climate change vulnerability in the complex Himalayan landscape Anusheema Chakraborty1, Kamna Sachdeva1, and P K Joshi2 1 Department 2 School of Natural Resources, TERI University, Delhi, India of Environmental Sciences, Jawaharlal Nehru University, Delhi, India 1 12/05/2016 Must we fundamentally change course to conserve ecosystems in a changing climate? • • • • • What will happen? Who is it about? When will it take place? Where will it take place? How will it happen? • • • Growth Mortality Flowering Species Level • • • • • Growth Mortality Regeneration Competition Thinning Stand Level • • • • Dispersal Migration Pest attacks Forest fires Landscape Level • • • Degradation Extinction Supply - Goods - Services Scale of impact? Ecosystem Response to Climate Change and Anthropogenic Disturbances Chakraborty et al. 2016 (unpublished) 11/10/2014 Ecosystem Level 4 2 12/05/2016 What is the study about? Climate change impacts and potential response of forests Current scenario Predicted future scenarios Livelihood dependency of local communities on forests Current opportunities Future possibilities Climate change vulnerability: Are they even vulnerable? Conceptual Framework Climate Change Communities Forests Sensitivity Adaptive Capacity Sensitivity Adaptive Capacity Vulnerability of Coupled Socio-Ecological System 3 12/05/2016 Background • Himalayan mountain system is highly fragile and sensitive to climate change, the rate of warming is greater than the global average warming (IPCC, 2013; Pradhan and Shrestha, 2007; Xu et al., 2009) • Studies indicate shifts in the Himalayan forests; western and central Himalaya more vulnerable to projected impacts of climate change (Chaturvedi et al., 2011; Gopalakrishnan et al., 2011; Joshi et al., 2012; Shrestha et al., 2012) • Himalayan forests are also prone to serious ecological degradation (Ives and Messerli, 1989; Pandit et al., 2007) Problem Statement • Lack of knowledge (scientists and practitioners) • Lack of governance (government institutions) • Lack of awareness (local communities) • Understanding how adaptive current Himalayan forests are, and how heterogeneity in regional vulnerabilities influence such changes to broad range of ecosystem functions and services, is missing 4 12/05/2016 “Climate Change” & “Forests” What does this reflect? Chakraborty et al. 2016 (unpublished) What could be the reason? • Uncertainties – – Climate models (GCMs/RCMs) Predictive niche modeling • Driver(s) of change – – Climate change (Telwala et al., 2013) Human-induced disturbances • • • • • • • • 11/10/2014 Encroachment (Brandt et al., 2013; Rawat et al., 2012) Fire (Gupta, 1978) Cutting (Awasthi et al., 2003) Over-grazing (Nautiyal et al., 2004) Deforestation (Kumar and Ram, 2005) Intensive agriculture (Semwal et al., 2004) Shifting cultivation (Singh and Singh, 1987) Other land-use practices 10 5 12/05/2016 Forests To identify the forest distribution in different climate change scenarios Communities To know the impact of changing forest distribution on livelihood options of local communities …. thinking beyond the canopy! 6 12/05/2016 Past Information (Mapping) Temporal Window 1990 1999 2009 2013/14 Pre-Monsoon Pre-Monsoon Pre-Monsoon Pre-Monsoon Post-Monsoon Post-Monsoon Post-Monsoon Post-Monsoon Time 1 Time 2 Time 3 Time 4 Seasonality Final Maps Current Scenario Change in land cover patterns over the years (type & density) • • • Forest area Spatial distribution Fragmentation 7 12/05/2016 Climate Change Impacts (Future) • Upper or Himalayan chir pine forest (9/C1b) — Pinus roxburghii • Ban oak forest (12/C1a) — Quercus leucotrichophora • Kharsu oak forest (12/C2a) — Quercus semecarpifolia • Moru oak forest (12/C1b) — Quercus floribunda Economically and geographically dominant forest types Climatic Layers - Annual Trends - Seasonality - Extreme/Limiting Factors Physiography - Elevation Slope Aspect Other Factors • Solar Radiation • Soil Habitat Suitability Model Occurrence Points (Presence) - Ban Oak Kharsu Oak Moru Oak Pine 8 12/05/2016 Common Areas Current Habitat Suitability Forest-Type Map (FSI) - - Actual distribution of species Champion-Seth Classification Dominant geographically distributed species - Predicted (potential) range of species Fundamental niche Realized Niche Potential Distribution (Future Scenarios) Climatic Layers - Annual Trends - Seasonality - Extreme/Limiting Factors Physiography - Elevation Slope Aspect Other Factors • Solar Radiation • Soil Occurrence Points (Presence) - Ban Oak Kharsu Oak Moru Oak Pine IPCC’s 5th Assessment 2050 2070 2.6 2.6 4.5 4.5 6.0 6.0 8.5 8.5 RCP emissions pathways 9 12/05/2016 Vulnerable - Potential Locations Example 2050 – – 8.5 Common Areas Realized Niche Selection of Villages 2050 2070 2050_2070 2.6 2.6 2.6 4.5 4.5 4.5 6.0 6.0 6.0 8.5 8.5 8.5 Example: Ban Oak 4 Species Village Surveys 10 12/05/2016 What was found? Information Integration Interdisciplinary Research and assessments describe broad trends but local conditions make the difference. Study Area 11 12/05/2016 Comparison of dense & open forests (%) between Forest Survey of India (FSI) and our map Dense Forests Districts 2014 2009 Open Forests 1999 1990 2014 2009 1999 1990 FSI Our Map FSI Our Map FSI Our Map FSI Our Map FSI Our Map FSI Our Map FSI Our Map FSI Our Map Almora 36.6 33.7 36.6 30.5 38.5 37.4 38.9 36.7 13.6 12.9 13.6 12.8 8.7 11.4 8.5 14.5 Bageshwar 48.1 35.3 48.0 37.2 --- --- --- --- 13.6 17.3 13.5 13.8 --- --- --- --- Champawat 51.7 50.7 51.4 49.5 --- --- --- --- 15.5 14.1 15.5 14.2 --- --- --- --- Nainital 58.9 43.2 59.3 42.7 43.0 30.9 43.4 32.6 13.4 18.6 13.5 17.8 9.6 16.7 9.7 17.8 Pithoragarh 23.8 18.2 23.7 18.9 24.7 26.6 24.6 27.4 5.9 8.8 5.8 6.2 9.3 10.2 9.1 12.0 Udham Singh Nagar 16.2 6.0 16.5 7.8 --- --- --- --- 5.3 4.5 4.9 5.6 --- --- --- --- Why? • Population increase • Extensive agriculture • Expanding urban settlements 12 12/05/2016 Anthropogenic or Climate Change? Forest Fragmentation • Intact forest patches decreased • Lower altitudes (anthropogenic fragmentation) • Higher altitudes (natural fragmentation) • Low-lying districts affected more than high-lying districts 13 12/05/2016 Where? Current Climate Scenario 14 12/05/2016 Overall predicted climate change impacts for four tree species Tree species Increase/Decrease Quercus leucotrichophora Quercus semecarpifolia Quercus floribunda Pinus roxburghii (i) (ii) (iii) (iv) Range shift Significant change +/-- ↑↑ Yes -- ↓ No ∼∼ ∼ No ∼∼∼/++ ↑↑↑ Yes + as increase in potential area – as decrease in potential area ∼ for unusual patterns ↑ for upward shift, and, (v) ↓ for downward shift Village Surveys: What is required? • To support policy experts and practitioners and local communities – Information – Analysis – Tools • To ensure outcomes – Effectiveness – Efficiency – Equity and co-benefits • Understand processes • Find solutions 15 12/05/2016 Purpose of the Study • • Identify target locations in Central Himalaya Collect target information – Identification of indicators of climate change – Dependent livelihoods from different forest types – Importance of forest-based livelihoods – Relative importance of forest types – Other livelihood practices/future options – Forest management practices – Possible adaptation options – Community action plans (if any) In progress What can we conclude? 16 12/05/2016 Inclusion of people! • Only in need of urgency? • Why not pro-activeness? 17 12/05/2016 Summary (1) • With expected climate change impacts, forests in the Himalayan region are more vulnerable, since current management practices have decreased adaptive capacities of forests • Increasing anthropogenic pressure and competition for forestbased resources, will lead to additional stress beyond the capacities to withstand continuity of change from nature, as well as from human influences • Amalgamation of new scientific approaches based on empirical evidence, along with traditional knowledge from communities, a holistic approach for forest resource utilization needs to be implemented Summary (2) • Considering climate change vulnerabilities of forests, most planning initiatives and policy frameworks are based on macro-level systems-based vulnerability assessments • However, failure of such approaches can be associated with lack of integration of ecosystem services of local planning in the adaptation processes • Any forest policy in order to be relevant and successful, should involve appropriate expertise and participation from different stakeholders (different forest types, different dependency patterns) • Adopting flexible adaptation policies, with adjustment from communities is imperative to continuously benefit from goods and services provided by the Himalayan forests. 18 12/05/2016 Thank you! Email: [email protected] Twitter: @anusheema 19
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