Testing spatial heterogeneity with stock assessment models
This paper describes a methodology that combines meta-population theory and stock assessment models to gain insights about spatial heterogeneity of the meta-population in an operational time frame. The methodology was tested with stochastic simulations for different degrees of connectivity between s...
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Public Library Science
2018
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Online Access: | https://archimer.ifremer.fr/doc/00422/53385/54236.pdf https://archimer.ifremer.fr/doc/00422/53385/54237.tif https://archimer.ifremer.fr/doc/00422/53385/54238.pdf https://archimer.ifremer.fr/doc/00422/53385/54239.pdf https://archimer.ifremer.fr/doc/00422/53385/54240.pdf https://archimer.ifremer.fr/doc/00422/53385/54241.pdf https://doi.org/10.1371/journal.pone.0190791 https://archimer.ifremer.fr/doc/00422/53385/ |
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ftarchimer:oai:archimer.ifremer.fr:53385 2023-05-15T17:41:33+02:00 Testing spatial heterogeneity with stock assessment models Jardim, Ernesto Eero, Margit Silva, Alexandra Ulrich, Clara Pawlowski, Lionel Holmes, Steven J. Ibaibarriaga, Leire De Oliveir, Jose A. A. A. Riveiro, Isabel Alzorriz, Nekane Citores, Leire Scott, Finlay Uriarte, Andres Carrera, Pablo Duhamel, Erwan Mosqueira, Iago 2018-01 application/pdf https://archimer.ifremer.fr/doc/00422/53385/54236.pdf https://archimer.ifremer.fr/doc/00422/53385/54237.tif https://archimer.ifremer.fr/doc/00422/53385/54238.pdf https://archimer.ifremer.fr/doc/00422/53385/54239.pdf https://archimer.ifremer.fr/doc/00422/53385/54240.pdf https://archimer.ifremer.fr/doc/00422/53385/54241.pdf https://doi.org/10.1371/journal.pone.0190791 https://archimer.ifremer.fr/doc/00422/53385/ eng eng Public Library Science https://archimer.ifremer.fr/doc/00422/53385/54236.pdf https://archimer.ifremer.fr/doc/00422/53385/54237.tif https://archimer.ifremer.fr/doc/00422/53385/54238.pdf https://archimer.ifremer.fr/doc/00422/53385/54239.pdf https://archimer.ifremer.fr/doc/00422/53385/54240.pdf https://archimer.ifremer.fr/doc/00422/53385/54241.pdf doi:10.1371/journal.pone.0190791 https://archimer.ifremer.fr/doc/00422/53385/ 2018 Jardim et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. info:eu-repo/semantics/openAccess restricted use CC-BY Plos One (1932-6203) (Public Library Science), 2018-01 , Vol. 13 , N. 1 , P. e0190791 (1-23) text Publication info:eu-repo/semantics/article 2018 ftarchimer https://doi.org/10.1371/journal.pone.0190791 2021-09-23T20:30:28Z This paper describes a methodology that combines meta-population theory and stock assessment models to gain insights about spatial heterogeneity of the meta-population in an operational time frame. The methodology was tested with stochastic simulations for different degrees of connectivity between sub-populations and applied to two case studies, North Sea cod (Gadus morua) and Northeast Atlantic sardine (Sardina pilchardus). Considering that the biological components of a population can be partitioned into discrete spatial units, we extended this idea into a property of additivity of sub-population abundances. If the additivity results hold true for putative sub-populations, then assessment results based on sub-populations will provide information to develop and monitor the implementation of finer scale/local management. The simulation study confirmed that when sub-populations are independent and not too heterogeneous with regards to productivity, the sum of stock assessment model estimates of sub-populations’ SSB is similar to the SSB estimates of the meta-population. It also showed that a strong diffusion process can be detected and that the stronger the connection between SSB and recruitment, the better the diffusion process will be detected. On the other hand it showed that weak to moderate diffusion processes are not easy to identify and large differences between sub-populations productivities may be confounded with weak diffusion processes. The application to North Sea cod and Atlantic sardine exemplified how much insight can be gained. In both cases the results obtained were sufficiently robust to support the regional analysis Article in Journal/Newspaper Northeast Atlantic Archimer (Archive Institutionnelle de l'Ifremer - Institut français de recherche pour l'exploitation de la mer) PLOS ONE 13 1 e0190791 |
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Open Polar |
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Archimer (Archive Institutionnelle de l'Ifremer - Institut français de recherche pour l'exploitation de la mer) |
op_collection_id |
ftarchimer |
language |
English |
description |
This paper describes a methodology that combines meta-population theory and stock assessment models to gain insights about spatial heterogeneity of the meta-population in an operational time frame. The methodology was tested with stochastic simulations for different degrees of connectivity between sub-populations and applied to two case studies, North Sea cod (Gadus morua) and Northeast Atlantic sardine (Sardina pilchardus). Considering that the biological components of a population can be partitioned into discrete spatial units, we extended this idea into a property of additivity of sub-population abundances. If the additivity results hold true for putative sub-populations, then assessment results based on sub-populations will provide information to develop and monitor the implementation of finer scale/local management. The simulation study confirmed that when sub-populations are independent and not too heterogeneous with regards to productivity, the sum of stock assessment model estimates of sub-populations’ SSB is similar to the SSB estimates of the meta-population. It also showed that a strong diffusion process can be detected and that the stronger the connection between SSB and recruitment, the better the diffusion process will be detected. On the other hand it showed that weak to moderate diffusion processes are not easy to identify and large differences between sub-populations productivities may be confounded with weak diffusion processes. The application to North Sea cod and Atlantic sardine exemplified how much insight can be gained. In both cases the results obtained were sufficiently robust to support the regional analysis |
format |
Article in Journal/Newspaper |
author |
Jardim, Ernesto Eero, Margit Silva, Alexandra Ulrich, Clara Pawlowski, Lionel Holmes, Steven J. Ibaibarriaga, Leire De Oliveir, Jose A. A. A. Riveiro, Isabel Alzorriz, Nekane Citores, Leire Scott, Finlay Uriarte, Andres Carrera, Pablo Duhamel, Erwan Mosqueira, Iago |
spellingShingle |
Jardim, Ernesto Eero, Margit Silva, Alexandra Ulrich, Clara Pawlowski, Lionel Holmes, Steven J. Ibaibarriaga, Leire De Oliveir, Jose A. A. A. Riveiro, Isabel Alzorriz, Nekane Citores, Leire Scott, Finlay Uriarte, Andres Carrera, Pablo Duhamel, Erwan Mosqueira, Iago Testing spatial heterogeneity with stock assessment models |
author_facet |
Jardim, Ernesto Eero, Margit Silva, Alexandra Ulrich, Clara Pawlowski, Lionel Holmes, Steven J. Ibaibarriaga, Leire De Oliveir, Jose A. A. A. Riveiro, Isabel Alzorriz, Nekane Citores, Leire Scott, Finlay Uriarte, Andres Carrera, Pablo Duhamel, Erwan Mosqueira, Iago |
author_sort |
Jardim, Ernesto |
title |
Testing spatial heterogeneity with stock assessment models |
title_short |
Testing spatial heterogeneity with stock assessment models |
title_full |
Testing spatial heterogeneity with stock assessment models |
title_fullStr |
Testing spatial heterogeneity with stock assessment models |
title_full_unstemmed |
Testing spatial heterogeneity with stock assessment models |
title_sort |
testing spatial heterogeneity with stock assessment models |
publisher |
Public Library Science |
publishDate |
2018 |
url |
https://archimer.ifremer.fr/doc/00422/53385/54236.pdf https://archimer.ifremer.fr/doc/00422/53385/54237.tif https://archimer.ifremer.fr/doc/00422/53385/54238.pdf https://archimer.ifremer.fr/doc/00422/53385/54239.pdf https://archimer.ifremer.fr/doc/00422/53385/54240.pdf https://archimer.ifremer.fr/doc/00422/53385/54241.pdf https://doi.org/10.1371/journal.pone.0190791 https://archimer.ifremer.fr/doc/00422/53385/ |
genre |
Northeast Atlantic |
genre_facet |
Northeast Atlantic |
op_source |
Plos One (1932-6203) (Public Library Science), 2018-01 , Vol. 13 , N. 1 , P. e0190791 (1-23) |
op_relation |
https://archimer.ifremer.fr/doc/00422/53385/54236.pdf https://archimer.ifremer.fr/doc/00422/53385/54237.tif https://archimer.ifremer.fr/doc/00422/53385/54238.pdf https://archimer.ifremer.fr/doc/00422/53385/54239.pdf https://archimer.ifremer.fr/doc/00422/53385/54240.pdf https://archimer.ifremer.fr/doc/00422/53385/54241.pdf doi:10.1371/journal.pone.0190791 https://archimer.ifremer.fr/doc/00422/53385/ |
op_rights |
2018 Jardim et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. info:eu-repo/semantics/openAccess restricted use |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1371/journal.pone.0190791 |
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PLOS ONE |
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13 |
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e0190791 |
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