Age‐dependent patterns of spatial autocorrelation in fish populations
Abstract The degree of spatial autocorrelation in population fluctuations increases with dispersal and geographical covariation in the environment, and decreases with strength of density dependence. Because the effects of these processes can vary throughout an individual’s lifespan, we studied how s...
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crwiley:10.1002/ecy.3523 2024-06-02T08:04:10+00:00 Age‐dependent patterns of spatial autocorrelation in fish populations Marquez, Jonatan F. Sæther, Bernt‐Erik Aanes, Sondre Engen, Steinar Salthaug, Are Lee, Aline Magdalena Norges Forskningsråd 2021 http://dx.doi.org/10.1002/ecy.3523 https://onlinelibrary.wiley.com/doi/pdf/10.1002/ecy.3523 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/ecy.3523 https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1002/ecy.3523 en eng Wiley http://creativecommons.org/licenses/by-nc-nd/4.0/ Ecology volume 102, issue 12 ISSN 0012-9658 1939-9170 journal-article 2021 crwiley https://doi.org/10.1002/ecy.3523 2024-05-03T10:52:41Z Abstract The degree of spatial autocorrelation in population fluctuations increases with dispersal and geographical covariation in the environment, and decreases with strength of density dependence. Because the effects of these processes can vary throughout an individual’s lifespan, we studied how spatial autocorrelation in abundance changed with age in three marine fish species in the Barents Sea. We found large interspecific differences in age‐dependent patterns of spatial autocorrelation in density. Spatial autocorrelation increased with age in cod, the reverse trend was found in beaked redfish, while it remained constant among age classes in haddock. We also accounted for the average effect of local cohort dynamics, i.e. the expected local density of an age class given last year’s local density of the cohort, with the goal of disentangling spatial autocorrelation patterns acting on an age class from those formed during younger age classes and being carried over. We found that the spatial autocorrelation pattern of older age classes became increasingly determined by the distribution of the cohort during the previous year. Lastly, we found high degrees of autocorrelation over long distances for the three species, suggesting the presence of far‐reaching autocorrelating processes on these populations. We discuss how differences in the species’ life history strategies could cause the observed differences in age‐specific variation in spatial autocorrelation. As spatial autocorrelation can differ among age classes, our study indicates that fluctuations in age structure can influence the spatio‐temporal variation in abundance of marine fish populations. Article in Journal/Newspaper Barents Sea Wiley Online Library Barents Sea Ecology 102 12 |
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English |
description |
Abstract The degree of spatial autocorrelation in population fluctuations increases with dispersal and geographical covariation in the environment, and decreases with strength of density dependence. Because the effects of these processes can vary throughout an individual’s lifespan, we studied how spatial autocorrelation in abundance changed with age in three marine fish species in the Barents Sea. We found large interspecific differences in age‐dependent patterns of spatial autocorrelation in density. Spatial autocorrelation increased with age in cod, the reverse trend was found in beaked redfish, while it remained constant among age classes in haddock. We also accounted for the average effect of local cohort dynamics, i.e. the expected local density of an age class given last year’s local density of the cohort, with the goal of disentangling spatial autocorrelation patterns acting on an age class from those formed during younger age classes and being carried over. We found that the spatial autocorrelation pattern of older age classes became increasingly determined by the distribution of the cohort during the previous year. Lastly, we found high degrees of autocorrelation over long distances for the three species, suggesting the presence of far‐reaching autocorrelating processes on these populations. We discuss how differences in the species’ life history strategies could cause the observed differences in age‐specific variation in spatial autocorrelation. As spatial autocorrelation can differ among age classes, our study indicates that fluctuations in age structure can influence the spatio‐temporal variation in abundance of marine fish populations. |
author2 |
Norges Forskningsråd |
format |
Article in Journal/Newspaper |
author |
Marquez, Jonatan F. Sæther, Bernt‐Erik Aanes, Sondre Engen, Steinar Salthaug, Are Lee, Aline Magdalena |
spellingShingle |
Marquez, Jonatan F. Sæther, Bernt‐Erik Aanes, Sondre Engen, Steinar Salthaug, Are Lee, Aline Magdalena Age‐dependent patterns of spatial autocorrelation in fish populations |
author_facet |
Marquez, Jonatan F. Sæther, Bernt‐Erik Aanes, Sondre Engen, Steinar Salthaug, Are Lee, Aline Magdalena |
author_sort |
Marquez, Jonatan F. |
title |
Age‐dependent patterns of spatial autocorrelation in fish populations |
title_short |
Age‐dependent patterns of spatial autocorrelation in fish populations |
title_full |
Age‐dependent patterns of spatial autocorrelation in fish populations |
title_fullStr |
Age‐dependent patterns of spatial autocorrelation in fish populations |
title_full_unstemmed |
Age‐dependent patterns of spatial autocorrelation in fish populations |
title_sort |
age‐dependent patterns of spatial autocorrelation in fish populations |
publisher |
Wiley |
publishDate |
2021 |
url |
http://dx.doi.org/10.1002/ecy.3523 https://onlinelibrary.wiley.com/doi/pdf/10.1002/ecy.3523 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/ecy.3523 https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1002/ecy.3523 |
geographic |
Barents Sea |
geographic_facet |
Barents Sea |
genre |
Barents Sea |
genre_facet |
Barents Sea |
op_source |
Ecology volume 102, issue 12 ISSN 0012-9658 1939-9170 |
op_rights |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
op_doi |
https://doi.org/10.1002/ecy.3523 |
container_title |
Ecology |
container_volume |
102 |
container_issue |
12 |
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1800748797472538624 |