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Fisheries management as a Stackelberg Evolutionary Game: Finding an evolutionarily enlightened strategy

Fish populations subject to heavy exploitation are expected to evolve over time smaller average body sizes. We introduce Stackelberg evolutionary game theory to show how fisheries management should be adjusted to mitigate the potential negative effects of such evolutionary changes. We present the ga...

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Detalles Bibliográficos
Autores principales: Salvioli, Monica, Dubbeldam, Johan, Staňková, Kateřina, Brown, Joel S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7817040/
https://www.ncbi.nlm.nih.gov/pubmed/33471815
http://dx.doi.org/10.1371/journal.pone.0245255
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author Salvioli, Monica
Dubbeldam, Johan
Staňková, Kateřina
Brown, Joel S.
author_facet Salvioli, Monica
Dubbeldam, Johan
Staňková, Kateřina
Brown, Joel S.
author_sort Salvioli, Monica
collection PubMed
description Fish populations subject to heavy exploitation are expected to evolve over time smaller average body sizes. We introduce Stackelberg evolutionary game theory to show how fisheries management should be adjusted to mitigate the potential negative effects of such evolutionary changes. We present the game of a fisheries manager versus a fish population, where the former adjusts the harvesting rate and the net size to maximize profit, while the latter responds by evolving the size at maturation to maximize the fitness. We analyze three strategies: i) ecologically enlightened (leading to a Nash equilibrium in game-theoretic terms); ii) evolutionarily enlightened (leading to a Stackelberg equilibrium) and iii) domestication (leading to team optimum) and the corresponding outcomes for both the fisheries manager and the fish. Domestication results in the largest size for the fish and the highest profit for the manager. With the Nash approach the manager tends to adopt a high harvesting rate and a small net size that eventually leads to smaller fish. With the Stackelberg approach the manager selects a bigger net size and scales back the harvesting rate, which lead to a bigger fish size and a higher profit. Overall, our results encourage managers to take the fish evolutionary dynamics into account. Moreover, we advocate for the use of Stackelberg evolutionary game theory as a tool for providing insights into the eco-evolutionary consequences of exploiting evolving resources.
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spelling pubmed-78170402021-01-28 Fisheries management as a Stackelberg Evolutionary Game: Finding an evolutionarily enlightened strategy Salvioli, Monica Dubbeldam, Johan Staňková, Kateřina Brown, Joel S. PLoS One Research Article Fish populations subject to heavy exploitation are expected to evolve over time smaller average body sizes. We introduce Stackelberg evolutionary game theory to show how fisheries management should be adjusted to mitigate the potential negative effects of such evolutionary changes. We present the game of a fisheries manager versus a fish population, where the former adjusts the harvesting rate and the net size to maximize profit, while the latter responds by evolving the size at maturation to maximize the fitness. We analyze three strategies: i) ecologically enlightened (leading to a Nash equilibrium in game-theoretic terms); ii) evolutionarily enlightened (leading to a Stackelberg equilibrium) and iii) domestication (leading to team optimum) and the corresponding outcomes for both the fisheries manager and the fish. Domestication results in the largest size for the fish and the highest profit for the manager. With the Nash approach the manager tends to adopt a high harvesting rate and a small net size that eventually leads to smaller fish. With the Stackelberg approach the manager selects a bigger net size and scales back the harvesting rate, which lead to a bigger fish size and a higher profit. Overall, our results encourage managers to take the fish evolutionary dynamics into account. Moreover, we advocate for the use of Stackelberg evolutionary game theory as a tool for providing insights into the eco-evolutionary consequences of exploiting evolving resources. Public Library of Science 2021-01-20 /pmc/articles/PMC7817040/ /pubmed/33471815 http://dx.doi.org/10.1371/journal.pone.0245255 Text en © 2021 Salvioli et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Salvioli, Monica
Dubbeldam, Johan
Staňková, Kateřina
Brown, Joel S.
Fisheries management as a Stackelberg Evolutionary Game: Finding an evolutionarily enlightened strategy
title Fisheries management as a Stackelberg Evolutionary Game: Finding an evolutionarily enlightened strategy
title_full Fisheries management as a Stackelberg Evolutionary Game: Finding an evolutionarily enlightened strategy
title_fullStr Fisheries management as a Stackelberg Evolutionary Game: Finding an evolutionarily enlightened strategy
title_full_unstemmed Fisheries management as a Stackelberg Evolutionary Game: Finding an evolutionarily enlightened strategy
title_short Fisheries management as a Stackelberg Evolutionary Game: Finding an evolutionarily enlightened strategy
title_sort fisheries management as a stackelberg evolutionary game: finding an evolutionarily enlightened strategy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7817040/
https://www.ncbi.nlm.nih.gov/pubmed/33471815
http://dx.doi.org/10.1371/journal.pone.0245255
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