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Evolutionary impact assessment: accounting for evolutionary consequences of fishing in an ecosystem approach to fisheries management
Authors:Ane T Laugen  Georg H Engelhard  Rebecca Whitlock  Robert Arlinghaus  Dorothy J Dankel  Erin S Dunlop  Anne M Eikeset  Katja Enberg  Christian Jørgensen  Shuichi Matsumura  Sébastien Nusslé  Davnah Urbach  Loїc Baulier  David S Boukal  Bruno Ernande  Fiona D Johnston  Fabian Mollet  Heidi Pardoe  Nina O Therkildsen  Silva Uusi‐Heikkilä  Anssi Vainikka  Mikko Heino  Adriaan D Rijnsdorp  Ulf Dieckmann
Affiliation:1. Swedish University of Agricultural Sciences, Department of Ecology, , SE‐75643 Uppsala, Sweden;2. IFREMER, Laboratoire Ressources Halieutiques, , F‐14520 Port‐en‐Bessin, France;3. Centre for Environment, Fisheries & Aquaculture Science (Cefas), , Lowestoft, NR33 0HT UK;4. Evolution and Ecology Program, International Institute for Applied Systems Analysis (IIASA), , A‐2361 Laxenburg, Austria;5. Hopkins Marine Station, Stanford University, , Pacific Grove, CA, 93950 California, USA;6. Finnish Game and Fisheries Research Institute, , FI‐20520 Turku, Finland;7. Department of Biology and Ecology of Fishes, Leibniz‐Institute of Freshwater Ecology and Inland Fisheries, , Berlin, 12587 Germany;8. Department for Crop and Animal Sciences, Faculty of Agriculture and Horticulture, Humboldt‐Universit?t zu Berlin, , 10115 Berlin, Germany;9. Institute of Marine Research, , NO‐5817 Bergen, Norway;10. EvoFish Research Group, Department of Biology, University of Bergen, , NO‐5020 Bergen, Norway;11. Aquatic Research and Development Section, Ontario Ministry of Natural Resources, , Peterborough, ON, Canada, K9J 8M5;12. Department of Biology, Centre for Ecological and Evolutionary Synthesis (CEES), University of Oslo, , NO‐0316 Oslo, Norway;13. Computational Ecology Unit, Uni Research, , NO‐5020 Bergen, Norway;14. Faculty of Applied Biological Sciences, Gifu University, , Gifu, 501‐1193 Japan;15. Department of Ecology and Evolution, University of Lausanne, , CH‐1015 Lausanne, Switzerland;16. Conservation Biology, Bern University, , CH‐3012 Bern, Switzerland;17. Department of Biological Sciences, Dartmouth College, The Class of 1978 Life Sciences Center, , Hanover, NH, 03755 USA;18. Fisheries and Aquatic Sciences Center, Agrocampus Ouest Centre de Rennes, , F‐35042 Rennes Cedex, France;19. Department of Ecosystems Biology, Faculty of Science, University of South Bohemia, , CZ‐37005 ?eské Budějovice, Czech Republic;20. IFREMER, Laboratoire Ressources Halieutiques, , F‐62321 Boulogne‐sur‐Mer, France;21. Wageningen IMARES, , 1970 AB IJmuiden, The Netherlands;22. Faculty of Life and Environmental Sciences, MARICE, University of Iceland, , 101 Reykjavik, Iceland;23. Section for Population Ecology and Genetics, National Institute of Aquatic Resources, Technical University of Denmark, , DK‐8600 Silkeborg, Denmark;24. Division of Genetics and Physiology, Department of Biology, University of Turku, , FI‐20014 Turku, Finland;25. Department of Biology, University of Oulu, , FI‐90014 Oulu, Finland;26. Swedish Board of Fisheries, Institute of Coastal Research, , SE‐74222 ?regrund, Sweden;27. Aquaculture and Fisheries Group, Department of Animal Sciences, Wageningen University and Research Centre, , 6700 Wageningen, The Netherlands
Abstract:
Managing fisheries resources to maintain healthy ecosystems is one of the main goals of the ecosystem approach to fisheries (EAF). While a number of international treaties call for the implementation of EAF, there are still gaps in the underlying methodology. One aspect that has received substantial scientific attention recently is fisheries‐induced evolution (FIE). Increasing evidence indicates that intensive fishing has the potential to exert strong directional selection on life‐history traits, behaviour, physiology, and morphology of exploited fish. Of particular concern is that reversing evolutionary responses to fishing can be much more difficult than reversing demographic or phenotypically plastic responses. Furthermore, like climate change, multiple agents cause FIE, with effects accumulating over time. Consequently, FIE may alter the utility derived from fish stocks, which in turn can modify the monetary value living aquatic resources provide to society. Quantifying and predicting the evolutionary effects of fishing is therefore important for both ecological and economic reasons. An important reason this is not happening is the lack of an appropriate assessment framework. We therefore describe the evolutionary impact assessment (EvoIA) as a structured approach for assessing the evolutionary consequences of fishing and evaluating the predicted evolutionary outcomes of alternative management options. EvoIA can contribute to EAF by clarifying how evolution may alter stock properties and ecological relations, support the precautionary approach to fisheries management by addressing a previously overlooked source of uncertainty and risk, and thus contribute to sustainable fisheries.
Keywords:Ecosystem approach to fisheries  ecosystem services  fisheries yield  fisheries‐induced evolution  impact assessment  sustainable fisheries
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