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Roles of density-dependent growth and life history evolution in accounting for fisheries-induced trait changes

descriptionPublicationkeyboard_double_arrow_right Article , Journal 09 Dec 2016 Austria Publisher:Proceedings of the National Academy of SciencesJournal:Proceedings of the National Academy of Sciences, volume 113, pages 15,030-15,035 (issn: 0027-8424, eissn: 1091-6490,

Authors: Eikeset, A.M.; Dunlop, E.S.; Heino, M.; Storvik, Geir; Stenseth, N.C.; Dieckmann, U.;

doi: 10.1073/pnas.1525749113

pmid: 27940913

pmc: PMC5206539

Roles of density-dependent growth and life history evolution in accounting for fisheries-induced trait changes

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Abstract

Significance Rapid anthropogenic trait changes in fish stocks is a highly publicized ocean conservation issue, yet the relative contributions of evolutionary and ecological dynamics are unknown. We present an integrative empirically based simulation model to determine the role of these contributions in the world’s largest cod stock. We quantitatively evaluate predictions with different density-dependent growth models using historical stock-specific data. The amount of evolution required for explaining observed maturation trends is small, yet with weakly density-dependent growth, critical for preventing stock collapse. The role of evolution in explaining trends is diminished when density-dependent growth is present. Our study reveals how interactions among evolution, ecology, and fisheries influence stock dynamics and harvest sustainability, emphasizing the need for integrated approaches to fisheries management.

Country

Austria

Related Organizations

College of New Jersey
United States
Government of Norway
Norway
Norwegian Institute of Marine Research
Norway
International Institute for Applied Systems Analysis
Austria
University of Bergen
Norway

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Keywords

Male, 570, Life Cycle Stages, Likelihood Functions, Time Factors, Ecology, Population Dynamics, Fisheries, Genetic Variation, Biological Evolution, Evolution, Molecular, Phenotype, Gadus morhua, Animals, Body Size, Female, Biomass, Algorithms, Probability

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Conclusion that fishing-induced evolution is negligible follows from model assumptions
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