Social-ecological systems in practice – understanding the potential for use in UK marine policy and management Kieran Hyder, Hannah Tidbury, Tiziana Luisetti, Stuart Corney, Eugene Murphy & many others Centre for Environment, Fisheries & Aquaculture Science [email protected], @kieranhyder MSEAS 2016, Brest, France,30 May – 3 June 2016 Outline • Role of models in decision making • Uptake of models by decision makers • Lessons learned from ecosystem & bioeconomic modelling • Potential for use of social-ecological models in UK decision making © Beth Fulton, CSIRO, Australia Science is complex, but so are policy & management Complexity Scale MSFD CFP WFD Etc. Resources Models have an important role to play Co-creation Role of models in the science-policy interface “Social processes encompassing relations between scientists & other actors in the policy process, & allow for exchanges, co-evolution, & joint construction of knowledge to enrich decision-making” (Hove 2007, Futures 39: 807–826) Data Models Evidence generation Evidence Sciencepolicy interface Impact Knowledge Models contribute to the evidence-base Decision Time is right for social-ecological models (SEMS) • Models integrating social, economics & governance with ecosystems are exceptions – become the rule? • Marine ecosystems & human activity transcends scales (e.g. El Nino), so need integration across scales • Decision makers likely to perceive an increase in complexity & uncertainty, & resistant to change Fulton et al. (2011) Fish and Fisheries 12, 2–17. Corney et al (in prep.). The need for marine ecosystemsociety models in an era of rapid change. Models are important, but uptake limited in UK • Models central to delivering policy & management challenges (e.g. ecosystem approaches) • Models developed, but limited uptake • Challenges: • Lost in translation • Currency & uncertainty • Confidence, legitimacy, & quality • Scales (spatial & temporal) What can we learn from other models? UK ecosystem models – uptake & use Physical (e.g. NEMO) Ocean BGC (e.g. MEDUSA) Shelf model (e.g. ERSEM) Food webs (e.g. EwE) Size-based (e.g. LEMANS) System (e.g. ATLANTIS) • Multidisciplinary workshop (policy questions, model summaries, mapped models, & socio-ec) • Many issues can already be addressed (e.g. attribution, integration, indicators, & costs) • Multi-model ensembles possible, but unclear how • Gaps identified to be assessed in context of other models • Link to social & economics as policy couched in these terms Coupled Models = physical + biological (e.g. NEMO-ERSEM) Hyder et al (2015). Making modelling count - increasing the contribution of shelf-seas community and ecosystem models to policy development & management. Marine Policy 62:291-302 http://www.masts.ac.uk/research/marine-ecosystem-modelling UK bioeconomic models – uptake & use • Bioeconomic modelling has important but unclear role in decision making • Workshop - concepts, challenges, & case studies • Outcomes: Generic fisheries bioeconomic model schema • • • • • • Bioeconomic models needed Good examples exist, but not well publicised Common / shared language – ecosystem services Social factors are difficult to quantify & model Social sciences role in modelling process Lack of skills – training programmes Hyder et al (in prep.). Is bioeconomic modelling an essential tool for future marine policy and management decisions?. Marine Policy Common themes that are applicable to SEMs • Awareness & understanding • Specific challenges • Timely outputs • Co-development • Confidence • Skills Learn from other models Potential for using SEMs in UK decision making • Potential – publicise success stories • Co-develop – multidisciplinary community • Funding – specific challenges • Confidence – transparency & quality • Skills gap – training programmes • Social sciences – communication space • Other disciplines – differences in uptake Tett et al (2012) Ecology & Society 17: 16 Engage with decision makers now Summary • Social-ecological models have an important role to play in marine policy & management • Workshops linking UK ecosystem & bioeconomic modelling to policy & management described • Common challenges for uptake & use of models in the UK that apply to SEMs • To maximise potential of SEMs in UK, need to learn from other fields & engage with decision makers early Don’t be an ‘anti-social’ scientist Acknowledgements – many contributors Axel Rossberg, Icarus Allen, Mel Austen, Hayley Bannister, Rosa Barciela, Paul Blackwell, Julia Blanchard, Mike Burrows, Emma Defriez, Tarquin Dorrington, Karen Edwards, Bernardo Garcia-Carreras, Michael Heath, Deborah Hembury, Johanna Heymans, James Hewlett, Jason Holt, Jennifer Houle, Simon Jennings, Irene Lorenzoni, Tiziana Luisettti, Steve Mackinson, Stephen Malcolm, Simon Mardle, Ruaraidh McPike, Laurence Mee, David Mills, Caron Montgomery, Dean Pearson, John Pinnegar, Marilena Pollicino, Ekaterina Popova, Tavis Potts, Louise Rae, Stuart Rogers, Douglas Speirs, Michael Spence, Robert Thorpe, Hannah Tidbury, Kerry Turner, Johan van der Molen, Andrew Yool, Tom Webb, David Paterson & workshop attendees Funded by Cefas (DP348) & Defra (ME5248, SLA15, SLA33)
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