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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Published in:PLOS ONE
Main Authors: GAMITO JARDIM José Ernesto, EERO Margit, SILVA A., ULRICH Clara, PAWLOWSKI Lionel, HOLMES Steven, IBAIBARRIAGA Leire, DE OLIVEIRA José, RIVEIRO Isabel, ALZORRIZ GAMIZ Nekane, CITORES Leire, SCOTT Finlay, URIARTE Andres, CARRERA Pablo, DUHAMEL Erwan, MOSQUEIRA SANCHEZ Iago
Language:English
Published: PUBLIC LIBRARY SCIENCE 2018
Subjects:
Online Access:https://publications.jrc.ec.europa.eu/repository/handle/JRC106742
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0190791
https://doi.org/10.1371/journal.pone.0190791
id ftjrc:oai:publications.jrc.ec.europa.eu:JRC106742
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spelling ftjrc:oai:publications.jrc.ec.europa.eu:JRC106742 2023-05-15T17:41:39+02:00 Testing spatial heterogeneity with stock assessment models GAMITO JARDIM José Ernesto EERO Margit SILVA A. ULRICH Clara PAWLOWSKI Lionel HOLMES Steven IBAIBARRIAGA Leire DE OLIVEIRA José RIVEIRO Isabel ALZORRIZ GAMIZ Nekane CITORES Leire SCOTT Finlay URIARTE Andres CARRERA Pablo DUHAMEL Erwan MOSQUEIRA SANCHEZ Iago 2018 Online https://publications.jrc.ec.europa.eu/repository/handle/JRC106742 https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0190791 https://doi.org/10.1371/journal.pone.0190791 ENG eng PUBLIC LIBRARY SCIENCE JRC106742 2018 ftjrc https://doi.org/10.1371/journal.pone.0190791 2022-05-01T08:20:36Z 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 (\emph{Gadus morua}) and Northeast Atlantic sardine (\emph{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 the sub-populations are isolated spatial components of the meta-population and 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. For the North Sea cod there is a large amount of information that advocates the existence of sub-populations and our results support such claim. In relation to sardine not so much information exists, nevertheless the results obtained were sufficiently robust to support the regional analysis. JRC.D.2 - Water and Marine Resources Other/Unknown Material Northeast Atlantic Joint Research Centre, European Commission: JRC Publications Repository PLOS ONE 13 1 e0190791
institution Open Polar
collection Joint Research Centre, European Commission: JRC Publications Repository
op_collection_id ftjrc
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 (\emph{Gadus morua}) and Northeast Atlantic sardine (\emph{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 the sub-populations are isolated spatial components of the meta-population and 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. For the North Sea cod there is a large amount of information that advocates the existence of sub-populations and our results support such claim. In relation to sardine not so much information exists, nevertheless the results obtained were sufficiently robust to support the regional analysis. JRC.D.2 - Water and Marine Resources
author GAMITO JARDIM José Ernesto
EERO Margit
SILVA A.
ULRICH Clara
PAWLOWSKI Lionel
HOLMES Steven
IBAIBARRIAGA Leire
DE OLIVEIRA José
RIVEIRO Isabel
ALZORRIZ GAMIZ Nekane
CITORES Leire
SCOTT Finlay
URIARTE Andres
CARRERA Pablo
DUHAMEL Erwan
MOSQUEIRA SANCHEZ Iago
spellingShingle GAMITO JARDIM José Ernesto
EERO Margit
SILVA A.
ULRICH Clara
PAWLOWSKI Lionel
HOLMES Steven
IBAIBARRIAGA Leire
DE OLIVEIRA José
RIVEIRO Isabel
ALZORRIZ GAMIZ Nekane
CITORES Leire
SCOTT Finlay
URIARTE Andres
CARRERA Pablo
DUHAMEL Erwan
MOSQUEIRA SANCHEZ Iago
Testing spatial heterogeneity with stock assessment models
author_facet GAMITO JARDIM José Ernesto
EERO Margit
SILVA A.
ULRICH Clara
PAWLOWSKI Lionel
HOLMES Steven
IBAIBARRIAGA Leire
DE OLIVEIRA José
RIVEIRO Isabel
ALZORRIZ GAMIZ Nekane
CITORES Leire
SCOTT Finlay
URIARTE Andres
CARRERA Pablo
DUHAMEL Erwan
MOSQUEIRA SANCHEZ Iago
author_sort GAMITO JARDIM José 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://publications.jrc.ec.europa.eu/repository/handle/JRC106742
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0190791
https://doi.org/10.1371/journal.pone.0190791
genre Northeast Atlantic
genre_facet Northeast Atlantic
op_relation JRC106742
op_doi https://doi.org/10.1371/journal.pone.0190791
container_title PLOS ONE
container_volume 13
container_issue 1
container_start_page e0190791
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