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From spawner habitat selection to stock‐recruitment: Implications for assessment
The relationship between the spawning stock size and subsequent number of recruits is a central concept in fisheries ecology. The influence of habitat selection of spawning individuals on the stock‐recruitment relationship is poorly known. Here we explore how each of four different spawner behaviors...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797469/ https://www.ncbi.nlm.nih.gov/pubmed/36590336 http://dx.doi.org/10.1002/ece3.9679 |
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author | Skoglund, Stefan Whitlock, Rebecca Petersson, Erik Palm, Stefan Leonardsson, Kjell |
author_facet | Skoglund, Stefan Whitlock, Rebecca Petersson, Erik Palm, Stefan Leonardsson, Kjell |
author_sort | Skoglund, Stefan |
collection | PubMed |
description | The relationship between the spawning stock size and subsequent number of recruits is a central concept in fisheries ecology. The influence of habitat selection of spawning individuals on the stock‐recruitment relationship is poorly known. Here we explore how each of four different spawner behaviors might influence the stock‐recruitment relationship and estimates of its parameters in the two most commonly used stock‐recruitment functions (Beverton‐Holt and Ricker). Using simulated stock‐recruitment data generated by four different spawner behaviors applied to multiple discrete habitats, we show that when spawners were distributed proportionally to local carrying capacities, there was small or no bias in estimated recruitment and stock‐recruitment parameters. For an ideal free distribution of spawners, larger bias in the estimates of recruitment and stock‐recruitment parameters was obtained, whereas a random and a stepwise spawner behavior introduced the largest bias. Using stock‐recruitment data corresponding to a “realistic” range of population densities and adding measurement error (20%–60%) to the simulated stock‐recruitment data generated larger variation in the estimation bias than what was introduced by the spawner behavior. Thus, for exploited stocks at low population density and where spawning stock size and recruitment cannot be observed perfectly, partial observation of the possible spawner abundance range and measurement error might be of higher concern for management. |
format | Online Article Text |
id | pubmed-9797469 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97974692022-12-30 From spawner habitat selection to stock‐recruitment: Implications for assessment Skoglund, Stefan Whitlock, Rebecca Petersson, Erik Palm, Stefan Leonardsson, Kjell Ecol Evol Research Articles The relationship between the spawning stock size and subsequent number of recruits is a central concept in fisheries ecology. The influence of habitat selection of spawning individuals on the stock‐recruitment relationship is poorly known. Here we explore how each of four different spawner behaviors might influence the stock‐recruitment relationship and estimates of its parameters in the two most commonly used stock‐recruitment functions (Beverton‐Holt and Ricker). Using simulated stock‐recruitment data generated by four different spawner behaviors applied to multiple discrete habitats, we show that when spawners were distributed proportionally to local carrying capacities, there was small or no bias in estimated recruitment and stock‐recruitment parameters. For an ideal free distribution of spawners, larger bias in the estimates of recruitment and stock‐recruitment parameters was obtained, whereas a random and a stepwise spawner behavior introduced the largest bias. Using stock‐recruitment data corresponding to a “realistic” range of population densities and adding measurement error (20%–60%) to the simulated stock‐recruitment data generated larger variation in the estimation bias than what was introduced by the spawner behavior. Thus, for exploited stocks at low population density and where spawning stock size and recruitment cannot be observed perfectly, partial observation of the possible spawner abundance range and measurement error might be of higher concern for management. John Wiley and Sons Inc. 2022-12-28 /pmc/articles/PMC9797469/ /pubmed/36590336 http://dx.doi.org/10.1002/ece3.9679 Text en © 2022 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 | Research Articles Skoglund, Stefan Whitlock, Rebecca Petersson, Erik Palm, Stefan Leonardsson, Kjell From spawner habitat selection to stock‐recruitment: Implications for assessment |
title | From spawner habitat selection to stock‐recruitment: Implications for assessment |
title_full | From spawner habitat selection to stock‐recruitment: Implications for assessment |
title_fullStr | From spawner habitat selection to stock‐recruitment: Implications for assessment |
title_full_unstemmed | From spawner habitat selection to stock‐recruitment: Implications for assessment |
title_short | From spawner habitat selection to stock‐recruitment: Implications for assessment |
title_sort | from spawner habitat selection to stock‐recruitment: implications for assessment |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797469/ https://www.ncbi.nlm.nih.gov/pubmed/36590336 http://dx.doi.org/10.1002/ece3.9679 |
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