Evolutionary impact assessment: accounting for evolutionary consequences of fishing in an ecosystem approach to fisheries management

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...

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Vydáno v:	Fish and fisheries (Oxford, England) Ročník 15; číslo 1; s. 65 - 96
Hlavní autoři:	Laugen, Ane T, Engelhard, Georg H, Whitlock, Rebecca, Arlinghaus, Robert, Dankel, Dorothy J, Dunlop, Erin S, Eikeset, Anne M, Enberg, Katja, Jørgensen, Christian, Matsumura, Shuichi, Nusslé, Sébastien, Urbach, Davnah, Baulier, Loїc, Boukal, David S, Ernande, Bruno, Johnston, Fiona D, Mollet, Fabian, Pardoe, Heidi, Therkildsen, Nina O, Uusi-Heikkilä, Silva, Vainikka, Anssi, Heino, Mikko, Rijnsdorp, Adriaan D, Dieckmann, Ulf
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England Blackwell Publishing Ltd 01.03.2014 Wiley-Blackwell John Wiley & Sons Ltd
Témata:	Animal populations atlantic cod Climate change cod gadus-morhua eco-genetic model Ecology Ecosystem approach to fisheries ecosystem services Ecosystems effective population-size Ekologi Evolutionary Biology Evolutionsbiologi Fish Fisheries management fisheries yield fisheries-induced evolution Fishery resources Fishing herring clupea-harengus impact assessment Life history Life Sciences life-history evolution marine fish maturation reaction norms north-sea plaice Original pike esox-lucius Sciences of the Universe Sustainable fisheries Treaties sustainable fisheries fisheries yield fisheries-induced evolution ecosystem services Ecosystem approach to fisheries impact assessment
ISSN:	1467-2960, 1467-2979, 1467-2979
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Popis
Shrnutí:	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.
Bibliografie:	Austrian Ministry of Science and Research ark:/67375/WNG-Q2XCHC4K-5 istex:0D6EA75C26E014A55376F2BFFF480F7D58562F57 Austrian Science Fund Risk Analysis for Fisheries German Ministry on Education and Research - No. SSP-2006-044276 European Science Foundation Leibniz-Community Dutch Ministry of Agriculture, Nature Conservation and Food Quality Young Research Group European Specific Targeted Research Programme - No. SSP-2006-044276 ArticleID:FAF12007 Bergen Research Foundation Research Council of Norway - No. 01UU0907 Vienna Science and Technology European Marie Curie Research Training Network - No. 2004-005578; No. SSP-2006-044276 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23
ISSN:	1467-2960 1467-2979 1467-2979
DOI:	10.1111/faf.12007