Evolutionary impact assessment: accounting for evolutionary consequences of fishing in an ecosystem approach to fisheries management
|Author(s)||Laugen Ane1, 2, Engelhard Georg3, Whitlock Rebecca4, 5, 6, Arlinghaus Robert7, 8, Dankel Dorothy J.9, Dunlop Erin S.9, 10, 11, Eikeset Anne M.12, Enberg Katja9, 10, Jorgensen Christian10, 13, Matsumura Shuichi4, 7, 14, Nussle Sebastien15, 16, Urbach Davnah4, 17, Baulier Loic9, 10, 18, Boukal David S.9, 10, 19, Ernande Bruno4, 20, Johnston Fiona D.4, 7, 8, Mollet Fabian4, 21, Pardoe Heidi22, Therkildsen Nina O.23, Uusi-Heikkilae Silva7, 24, Vainikka Anssi25, 26, Heino Mikko4, 9, 10, Rijnsdorp Adriaan D.21, 27, Dieckmann Ulf4|
|Affiliation(s)||1 : Swedish Univ Agr Sci, Dept Ecol, SE-75643 Uppsala, Sweden.
2 : IFREMER, Lab Ressources Halieut, F-14520 Port En Bessin, France.
3 : Cefas, Lowestoft NR33 0HT, Suffolk, England.
4 : Int Inst Appl Syst Anal, Evolut & Ecol Program, A-2361 Laxenburg, Austria.
5 : Stanford Univ, Hopkins Marine Stn, Pacific Grove, CA 93950 USA.
6 : Finnish Game & Fisheries Res Inst, FI-20520 Turku, Finland.
7 : Leibniz Inst Freshwater Ecol & Inland Fisheries, Dept Biol & Ecol Fishes, D-12587 Berlin, Germany.
8 : Humboldt Univ, Dept Crop & Anim Sci, Fac Agr & Hort, D-10115 Berlin, Germany.
9 : Inst Marine Res, NO-5817 Bergen, Norway.
10 : Univ Bergen, EvoFish Res Grp, Dept Biol, NO-5020 Bergen, Norway.
11 : Ontario Minist Nat Resources, Aquat Res & Dev Sect, Peterborough, ON K9J 8M5, Canada.
12 : Univ Oslo, CEES, Dept Biol, NO-0316 Oslo, Norway.
13 : Uni Res, Computat Ecol Unit, NO-5020 Bergen, Norway.
14 : Gifu Univ, Fac Appl Biol Sci, Gifu 5011193, Japan.
15 : Univ Lausanne, Dept Ecol & Evolut, CH-1015 Lausanne, Switzerland.
16 : Univ Bern, CH-3012 Bern, Switzerland.
17 : Dartmouth Coll, Dept Biol Sci, Class Life Sci Ctr 1978, Hanover, NH 03755 USA.
18 : Agrocampus Ouest Ctr Rennes, Fisheries & Aquat Sci Ctr, F-35042 Rennes, France.
19 : Univ South Bohemia, Fac Sci, Dept Ecosyst Biol, CZ-37005 Ceske Budejovice, Czech Republic.
20 : IFREMER, Lab Ressources Halieut, F-62321 Boulogne Sur Mer, France.
21 : Wageningen IMARES, NL-1970 AB Ijmuiden, Netherlands.
22 : Univ Iceland, Fac Life & Environm Sci, MARICE, IS-101 Reykjavik, Iceland.
23 : Tech Univ Denmark, Natl Inst Aquat Resources, Sect Populat Ecol & Genet, DK-8600 Silkeborg, Denmark.
24 : Univ Turku, Dept Biol, Div Genet & Physiol, FI-20014 Turku, Finland.
25 : Univ Oulu, Dept Biol, FI-90014 Oulu, Finland.
26 : Swedish Board Fisheries, Inst Coastal Res, SE-74222 Oregrund, Sweden.
27 : Wageningen Univ & Res Ctr, Dept Anim Sci, Aquaculture & Fisheries Grp, NL-6700 Wageningen, Netherlands.
|Source||Fish And Fisheries (1467-2960) (Wiley-blackwell), 2014-03 , Vol. 15 , N. 1 , P. 65-96|
|WOS© Times Cited||93|
|Keyword(s)||Ecosystem approach to fisheries, ecosystem services, fisheries yield, fisheries-induced evolution, impact assessment, sustainable fisheries|
|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.|