A framework for the standardisation of tropical tuna purse seine CPUE: application to the yellowfin tuna in the Indian Ocean

We revised the existing framework for tuna CPUE standardisation in light of the increasing literature that advocates the use of mixed effects models to account for the characteristics of logbook data. We apply the framework on yellowfin tuna (YFT) from the Indian Ocean, caught by the purse seine EU...

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Detalhes bibliográficos
Autores: Katara, I, Gaertner, Daniel, Chassot, Emmanuel, Soto-Ruiz, María, Abascal, Francisco Javier, Fonteneau, Alain, Floch, Lorance, López, L., Cervantes, A
Formato: artículo
Estado:Versión enviada para evaluación y publicación
Fecha de publicación:2016
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/324798
Acesso em linha:http://hdl.handle.net/10261/324798
Access Level:acceso abierto
Palavra-chave:Pesquerías
Centro Oceanográfico de Canarias
fish
fisheries
utilization
statisticians
convergence
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spelling A framework for the standardisation of tropical tuna purse seine CPUE: application to the yellowfin tuna in the Indian OceanKatara, IGaertner, DanielChassot, EmmanuelSoto-Ruiz, MaríaAbascal, Francisco JavierFonteneau, AlainFloch, LoranceLópez, L.Cervantes, APesqueríasCentro Oceanográfico de CanariasfishfisheriesutilizationstatisticiansconvergenceWe revised the existing framework for tuna CPUE standardisation in light of the increasing literature that advocates the use of mixed effects models to account for the characteristics of logbook data. We apply the framework on yellowfin tuna (YFT) from the Indian Ocean, caught by the purse seine EU fleet (Spain and France) from 1984 to 2015. We used a comprehensive list of candidate covariates, including non- conventional covariates, and run exploratory models to assess the contribution of each covariate. Due to the large number of covariates, the lasso – least absolute shrinkage and selection operator- method was applied for data mining and model selection purposes. The results are two standardised YFT CPUE time series for the period 1984-2015, one for large fish caught in free-school related sets, and one for mainly juveniles caught in floating object related sets. Issues on the usefulness of highly aggregated data (low resolution: annual and fleet wide) is discussed along with the need for more detailed information on the use of dFADs, preferably at the level of a fishing trip.NO202320232016info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Preprintinfo:eu-repo/semantics/submittedVersionhttp://hdl.handle.net/10261/324798reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésCentro Oceanográfico de Canariasinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3247982026-05-22T06:33:51Z
dc.title.none.fl_str_mv A framework for the standardisation of tropical tuna purse seine CPUE: application to the yellowfin tuna in the Indian Ocean
title A framework for the standardisation of tropical tuna purse seine CPUE: application to the yellowfin tuna in the Indian Ocean
spellingShingle A framework for the standardisation of tropical tuna purse seine CPUE: application to the yellowfin tuna in the Indian Ocean
Katara, I
Pesquerías
Centro Oceanográfico de Canarias
fish
fisheries
utilization
statisticians
convergence
title_short A framework for the standardisation of tropical tuna purse seine CPUE: application to the yellowfin tuna in the Indian Ocean
title_full A framework for the standardisation of tropical tuna purse seine CPUE: application to the yellowfin tuna in the Indian Ocean
title_fullStr A framework for the standardisation of tropical tuna purse seine CPUE: application to the yellowfin tuna in the Indian Ocean
title_full_unstemmed A framework for the standardisation of tropical tuna purse seine CPUE: application to the yellowfin tuna in the Indian Ocean
title_sort A framework for the standardisation of tropical tuna purse seine CPUE: application to the yellowfin tuna in the Indian Ocean
dc.creator.none.fl_str_mv Katara, I
Gaertner, Daniel
Chassot, Emmanuel
Soto-Ruiz, María
Abascal, Francisco Javier
Fonteneau, Alain
Floch, Lorance
López, L.
Cervantes, A
author Katara, I
author_facet Katara, I
Gaertner, Daniel
Chassot, Emmanuel
Soto-Ruiz, María
Abascal, Francisco Javier
Fonteneau, Alain
Floch, Lorance
López, L.
Cervantes, A
author_role author
author2 Gaertner, Daniel
Chassot, Emmanuel
Soto-Ruiz, María
Abascal, Francisco Javier
Fonteneau, Alain
Floch, Lorance
López, L.
Cervantes, A
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Pesquerías
Centro Oceanográfico de Canarias
fish
fisheries
utilization
statisticians
convergence
topic Pesquerías
Centro Oceanográfico de Canarias
fish
fisheries
utilization
statisticians
convergence
description We revised the existing framework for tuna CPUE standardisation in light of the increasing literature that advocates the use of mixed effects models to account for the characteristics of logbook data. We apply the framework on yellowfin tuna (YFT) from the Indian Ocean, caught by the purse seine EU fleet (Spain and France) from 1984 to 2015. We used a comprehensive list of candidate covariates, including non- conventional covariates, and run exploratory models to assess the contribution of each covariate. Due to the large number of covariates, the lasso – least absolute shrinkage and selection operator- method was applied for data mining and model selection purposes. The results are two standardised YFT CPUE time series for the period 1984-2015, one for large fish caught in free-school related sets, and one for mainly juveniles caught in floating object related sets. Issues on the usefulness of highly aggregated data (low resolution: annual and fleet wide) is discussed along with the need for more detailed information on the use of dFADs, preferably at the level of a fishing trip.
publishDate 2016
dc.date.none.fl_str_mv 2016
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Preprint
info:eu-repo/semantics/submittedVersion
format article
status_str submittedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/324798
url http://hdl.handle.net/10261/324798
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Centro Oceanográfico de Canarias
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869419210189307904
score 15,228081

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