Age-dependent patterns of spatial autocorrelation in fish populations
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 au...
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Language: | English |
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Online Access: | https://hdl.handle.net/11250/2828292 https://doi.org/10.1002/ecy.3523 |
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ftimr:oai:imr.brage.unit.no:11250/2828292 2023-05-15T15:39:02+02:00 Age-dependent patterns of spatial autocorrelation in fish populations Marquez, Jonatan Sæther, Bernt-Erik Aanes, Sondre Engen, Steinar Salthaug, Are Lee, Aline Magdalena 2021 application/pdf https://hdl.handle.net/11250/2828292 https://doi.org/10.1002/ecy.3523 eng eng Norges forskningsråd: 223257 Norges forskningsråd: 244647 Ecology. 2021, 00:e03523 1-13. urn:issn:0012-9658 https://hdl.handle.net/11250/2828292 https://doi.org/10.1002/ecy.3523 cristin:1943751 1-13 00:e03523 Ecology Peer reviewed Journal article 2021 ftimr https://doi.org/10.1002/ecy.3523 2021-11-10T23:36:42Z 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. publishedVersion Article in Journal/Newspaper Barents Sea Institute for Marine Research: Brage IMR Barents Sea Ecology |
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Open Polar |
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Institute for Marine Research: Brage IMR |
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language |
English |
description |
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. publishedVersion |
format |
Article in Journal/Newspaper |
author |
Marquez, Jonatan Sæther, Bernt-Erik Aanes, Sondre Engen, Steinar Salthaug, Are Lee, Aline Magdalena |
spellingShingle |
Marquez, Jonatan 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 Sæther, Bernt-Erik Aanes, Sondre Engen, Steinar Salthaug, Are Lee, Aline Magdalena |
author_sort |
Marquez, Jonatan |
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 |
publishDate |
2021 |
url |
https://hdl.handle.net/11250/2828292 https://doi.org/10.1002/ecy.3523 |
geographic |
Barents Sea |
geographic_facet |
Barents Sea |
genre |
Barents Sea |
genre_facet |
Barents Sea |
op_source |
1-13 00:e03523 Ecology |
op_relation |
Norges forskningsråd: 223257 Norges forskningsråd: 244647 Ecology. 2021, 00:e03523 1-13. urn:issn:0012-9658 https://hdl.handle.net/11250/2828292 https://doi.org/10.1002/ecy.3523 cristin:1943751 |
op_doi |
https://doi.org/10.1002/ecy.3523 |
container_title |
Ecology |
_version_ |
1766370490086064128 |