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Age is not just a number—Mathematical model suggests senescence affects how fish populations respond to different fishing regimes

Senescence is often described as an age‐dependent increase in natural mortality (known as actuarial senescence) and an age‐dependent decrease in fecundity (known as reproductive senescence), and its role in nature is still poorly understood. Based on empirical estimates of reproductive and actuarial...

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Autores principales: Ahti, Pauliina A., Uusi‐Heikkilä, Silva, Marjomäki, Timo J., Kuparinen, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8495815/
https://www.ncbi.nlm.nih.gov/pubmed/34646475
http://dx.doi.org/10.1002/ece3.8058
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author Ahti, Pauliina A.
Uusi‐Heikkilä, Silva
Marjomäki, Timo J.
Kuparinen, Anna
author_facet Ahti, Pauliina A.
Uusi‐Heikkilä, Silva
Marjomäki, Timo J.
Kuparinen, Anna
author_sort Ahti, Pauliina A.
collection PubMed
description Senescence is often described as an age‐dependent increase in natural mortality (known as actuarial senescence) and an age‐dependent decrease in fecundity (known as reproductive senescence), and its role in nature is still poorly understood. Based on empirical estimates of reproductive and actuarial senescence, we used mathematical simulations to explore how senescence affects the population dynamics of Coregonus albula, a small, schooling salmonid fish. Using an empirically based eco‐evolutionary model, we investigated how the presence or absence of senescence affects the eco‐evolutionary dynamics of a fish population during pristine, intensive harvest, and recovery phases. Our simulation results showed that the presence or absence of senescence affected how the population responded to the selection regime. At an individual level, gillnetting caused a larger decline in asymptotic length when senescence was present, compared to the nonsenescent population, and the opposite occurred when fishing was done by trawling. This change was accompanied by evolution toward younger age at maturity. At the population level, the change in biomass and number of fish in response to different fishery size‐selection patterns depended on the presence or absence of senescence. Since most life‐history and fisheries models ignore senescence, they may be over‐estimating reproductive capacity and under‐estimating natural mortality. Our results highlight the need to understand the combined effects of life‐history characters such as senescence and fisheries selection regime to ensure the successful management of our natural resources.
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spelling pubmed-84958152021-10-12 Age is not just a number—Mathematical model suggests senescence affects how fish populations respond to different fishing regimes Ahti, Pauliina A. Uusi‐Heikkilä, Silva Marjomäki, Timo J. Kuparinen, Anna Ecol Evol Original Research Senescence is often described as an age‐dependent increase in natural mortality (known as actuarial senescence) and an age‐dependent decrease in fecundity (known as reproductive senescence), and its role in nature is still poorly understood. Based on empirical estimates of reproductive and actuarial senescence, we used mathematical simulations to explore how senescence affects the population dynamics of Coregonus albula, a small, schooling salmonid fish. Using an empirically based eco‐evolutionary model, we investigated how the presence or absence of senescence affects the eco‐evolutionary dynamics of a fish population during pristine, intensive harvest, and recovery phases. Our simulation results showed that the presence or absence of senescence affected how the population responded to the selection regime. At an individual level, gillnetting caused a larger decline in asymptotic length when senescence was present, compared to the nonsenescent population, and the opposite occurred when fishing was done by trawling. This change was accompanied by evolution toward younger age at maturity. At the population level, the change in biomass and number of fish in response to different fishery size‐selection patterns depended on the presence or absence of senescence. Since most life‐history and fisheries models ignore senescence, they may be over‐estimating reproductive capacity and under‐estimating natural mortality. Our results highlight the need to understand the combined effects of life‐history characters such as senescence and fisheries selection regime to ensure the successful management of our natural resources. John Wiley and Sons Inc. 2021-09-07 /pmc/articles/PMC8495815/ /pubmed/34646475 http://dx.doi.org/10.1002/ece3.8058 Text en © 2021 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Ahti, Pauliina A.
Uusi‐Heikkilä, Silva
Marjomäki, Timo J.
Kuparinen, Anna
Age is not just a number—Mathematical model suggests senescence affects how fish populations respond to different fishing regimes
title Age is not just a number—Mathematical model suggests senescence affects how fish populations respond to different fishing regimes
title_full Age is not just a number—Mathematical model suggests senescence affects how fish populations respond to different fishing regimes
title_fullStr Age is not just a number—Mathematical model suggests senescence affects how fish populations respond to different fishing regimes
title_full_unstemmed Age is not just a number—Mathematical model suggests senescence affects how fish populations respond to different fishing regimes
title_short Age is not just a number—Mathematical model suggests senescence affects how fish populations respond to different fishing regimes
title_sort age is not just a number—mathematical model suggests senescence affects how fish populations respond to different fishing regimes
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8495815/
https://www.ncbi.nlm.nih.gov/pubmed/34646475
http://dx.doi.org/10.1002/ece3.8058
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