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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| Published in: | Fish and fisheries (Oxford, England) Vol. 15; no. 1; pp. 65 - 96 |
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
England
Blackwell Publishing Ltd
01.03.2014
Wiley-Blackwell John Wiley & Sons Ltd |
| Subjects: | |
| ISSN: | 1467-2960, 1467-2979, 1467-2979 |
| Online Access: | Get full text |
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| 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. |
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| AbstractList | 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. 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 ( E vo IA ) as a structured approach for assessing the evolutionary consequences of fishing and evaluating the predicted evolutionary outcomes of alternative management options. E vo IA 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. 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. [PUBLICATION 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.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. |
| Author | Dankel, Dorothy J Ernande, Bruno Nusslé, Sébastien Boukal, David S Rijnsdorp, Adriaan D Heino, Mikko Baulier, Loїc Engelhard, Georg H Dieckmann, Ulf Whitlock, Rebecca Johnston, Fiona D Vainikka, Anssi Laugen, Ane T Jørgensen, Christian Mollet, Fabian Uusi-Heikkilä, Silva Enberg, Katja Arlinghaus, Robert Pardoe, Heidi Dunlop, Erin S Eikeset, Anne M Matsumura, Shuichi Urbach, Davnah Therkildsen, Nina O |
| Author_xml | – sequence: 1 givenname: Ane T surname: Laugen fullname: Laugen, Ane T email: Ane T Laugen, Swedish University of Agricultural Sciences, Department of Ecology, Box 7044, SE-75007 Uppsala, SwedenTel.: +46 18 672357Fax: +46 18 672890, ane.laugen@slu.se organization: Swedish University of Agricultural Sciences, Department of Ecology, Box 7044, SE-75643, Uppsala, Sweden – sequence: 2 givenname: Georg H surname: Engelhard fullname: Engelhard, Georg H organization: Centre for Environment, Fisheries & Aquaculture Science (Cefas), Pakefield Road, NR33 0HT, Lowestoft, UK – sequence: 3 givenname: Rebecca surname: Whitlock fullname: Whitlock, Rebecca organization: Evolution and Ecology Program, International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361, Laxenburg, Austria – sequence: 4 givenname: Robert surname: Arlinghaus fullname: Arlinghaus, Robert organization: Department of Biology and Ecology of Fishes, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Müggelseedamm 310, 12587, Berlin, Germany – sequence: 5 givenname: Dorothy J surname: Dankel fullname: Dankel, Dorothy J organization: Institute of Marine Research, PO Box 1870, Nordnes, NO-5817, Bergen, Norway – sequence: 6 givenname: Erin S surname: Dunlop fullname: Dunlop, Erin S organization: Institute of Marine Research, PO Box 1870, Nordnes, NO-5817, Bergen, Norway – sequence: 7 givenname: Anne M surname: Eikeset fullname: Eikeset, Anne M organization: Department of Biology, Centre for Ecological and Evolutionary Synthesis (CEES), University of Oslo, PO Box 1066, Blindern, NO-0316, Oslo, Norway – sequence: 8 givenname: Katja surname: Enberg fullname: Enberg, Katja organization: Institute of Marine Research, PO Box 1870, Nordnes, NO-5817, Bergen, Norway – sequence: 9 givenname: Christian surname: Jørgensen fullname: Jørgensen, Christian organization: EvoFish Research Group, Department of Biology, University of Bergen, Box 7803, NO-5020, Bergen, Norway – sequence: 10 givenname: Shuichi surname: Matsumura fullname: Matsumura, Shuichi organization: Evolution and Ecology Program, International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361, Laxenburg, Austria – sequence: 11 givenname: Sébastien surname: Nusslé fullname: Nusslé, Sébastien organization: Department of Ecology and Evolution, University of Lausanne, Biophore, CH-1015, Lausanne, Switzerland – sequence: 12 givenname: Davnah surname: Urbach fullname: Urbach, Davnah organization: Evolution and Ecology Program, International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361, Laxenburg, Austria – sequence: 13 givenname: Loїc surname: Baulier fullname: Baulier, Loїc organization: Institute of Marine Research, PO Box 1870, Nordnes, NO-5817, Bergen, Norway – sequence: 14 givenname: David S surname: Boukal fullname: Boukal, David S organization: Institute of Marine Research, PO Box 1870, Nordnes, NO-5817, Bergen, Norway – sequence: 15 givenname: Bruno surname: Ernande fullname: Ernande, Bruno organization: Evolution and Ecology Program, International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361, Laxenburg, Austria – sequence: 16 givenname: Fiona D surname: Johnston fullname: Johnston, Fiona D organization: Evolution and Ecology Program, International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361, Laxenburg, Austria – sequence: 17 givenname: Fabian surname: Mollet fullname: Mollet, Fabian organization: Evolution and Ecology Program, International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361, Laxenburg, Austria – sequence: 18 givenname: Heidi surname: Pardoe fullname: Pardoe, Heidi organization: Faculty of Life and Environmental Sciences, MARICE, University of Iceland, Askja, Sturlugata 7, 101, Reykjavik, Iceland – sequence: 19 givenname: Nina O surname: Therkildsen fullname: Therkildsen, Nina O organization: Section for Population Ecology and Genetics, National Institute of Aquatic Resources, Technical University of Denmark, Vejlsøvej 39, DK-8600, Silkeborg, Denmark – sequence: 20 givenname: Silva surname: Uusi-Heikkilä fullname: Uusi-Heikkilä, Silva organization: Department of Biology and Ecology of Fishes, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Müggelseedamm 310, 12587, Berlin, Germany – sequence: 21 givenname: Anssi surname: Vainikka fullname: Vainikka, Anssi organization: Department of Biology, University of Oulu, PO Box 3000, FI-90014, Oulu, Finland – sequence: 22 givenname: Mikko surname: Heino fullname: Heino, Mikko organization: Evolution and Ecology Program, International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361, Laxenburg, Austria – sequence: 23 givenname: Adriaan D surname: Rijnsdorp fullname: Rijnsdorp, Adriaan D organization: Wageningen IMARES, Postbus 68, 1970, AB IJmuiden, The Netherlands – sequence: 24 givenname: Ulf surname: Dieckmann fullname: Dieckmann, Ulf organization: Evolution and Ecology Program, International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361, Laxenburg, Austria |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/26430388$$D View this record in MEDLINE/PubMed https://hal.science/hal-04499311$$DView record in HAL https://res.slu.se/id/publ/39655$$DView record from Swedish Publication Index (Sveriges lantbruksuniversitet) |
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| ContentType | Journal Article |
| Copyright | 2012 John Wiley & Sons Ltd Copyright © 2014 John Wiley & Sons Ltd Distributed under a Creative Commons Attribution 4.0 International License 2012 John Wiley & Sons Ltd 2012 Wageningen University & Research |
| Copyright_xml | – notice: 2012 John Wiley & Sons Ltd – notice: Copyright © 2014 John Wiley & Sons Ltd – notice: Distributed under a Creative Commons Attribution 4.0 International License – notice: 2012 John Wiley & Sons Ltd 2012 – notice: Wageningen University & Research |
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| CorporateAuthor_xml | – name: Sveriges lantbruksuniversitet |
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| Keywords | sustainable fisheries fisheries yield fisheries-induced evolution ecosystem services Ecosystem approach to fisheries impact assessment |
| Language | English |
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| Title | Evolutionary impact assessment: accounting for evolutionary consequences of fishing in an ecosystem approach to fisheries management |
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