Segmentation and fishery characteristics of the mixed-species multi-gear portuguese fleet

Detalhes bibliográficos
Autor(a) principal: Duarte, Rafael
Data de Publicação: 2009
Outros Autores: Azevedo, Manuela, Afonso-Dias, Manuel
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.1/11108
Resumo: Fleet segmentation and knowledge of fishing fleet dynamics are essential to move from single species to fishery/fleet-based advice. The coastal mixed-species multi-gear Portuguese fleet comprises medium-sized (> 12m) vessels, using a diversity of passive gears, and is economically important. For hake (under a recovery plan) and monkfish (overexploited), it contributes > 50% to their total annuel landings. Commercial daily landings in 2005 from 271 vessels were analysed by region using non-hierarchical cluster analysis and multi-variate regression trees. The cluster analysis allowed the identification of regional fleet segments with a low mixture of species through-out the year. The multivariate regression trees were applied to clusters of vessels with a high mixture of species, to explain weekly landing profiles (species) by vessel technical characteristics, fishing license, and main landing port. The results showed a link between exploited species and geographic location, and in the north between vessel size and depth and an inshore/offshore range. Finally, from the analysis and for the most important species exploited by the Portuguese multi-gear fleet, it was possible to define two or three vessel groups that accounted for at least 50% of the landed value.
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spelling Segmentation and fishery characteristics of the mixed-species multi-gear portuguese fleetTrawl fisheriesGulfAssemblagesManagementDefinitionComponentsPatternsDemersalCadizCatchFleet segmentation and knowledge of fishing fleet dynamics are essential to move from single species to fishery/fleet-based advice. The coastal mixed-species multi-gear Portuguese fleet comprises medium-sized (> 12m) vessels, using a diversity of passive gears, and is economically important. For hake (under a recovery plan) and monkfish (overexploited), it contributes > 50% to their total annuel landings. Commercial daily landings in 2005 from 271 vessels were analysed by region using non-hierarchical cluster analysis and multi-variate regression trees. The cluster analysis allowed the identification of regional fleet segments with a low mixture of species through-out the year. The multivariate regression trees were applied to clusters of vessels with a high mixture of species, to explain weekly landing profiles (species) by vessel technical characteristics, fishing license, and main landing port. The results showed a link between exploited species and geographic location, and in the north between vessel size and depth and an inshore/offshore range. Finally, from the analysis and for the most important species exploited by the Portuguese multi-gear fleet, it was possible to define two or three vessel groups that accounted for at least 50% of the landed value.NeoMAv "New Assessment Methodologies"; Portuguese General Directorate for Fisheries and Aquaculture (DGPA); Sarah Walmsley (Cefas); Pedro de Barros of the University of the AlgarveOxford University PressSapientiaDuarte, RafaelAzevedo, ManuelaAfonso-Dias, Manuel2018-12-07T14:52:31Z2009-042009-04-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/11108eng1054-313910.1093/icesjms/fsp019info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-24T10:22:51Zoai:sapientia.ualg.pt:10400.1/11108Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:02:38.065608Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Segmentation and fishery characteristics of the mixed-species multi-gear portuguese fleet
title Segmentation and fishery characteristics of the mixed-species multi-gear portuguese fleet
spellingShingle Segmentation and fishery characteristics of the mixed-species multi-gear portuguese fleet
Duarte, Rafael
Trawl fisheries
Gulf
Assemblages
Management
Definition
Components
Patterns
Demersal
Cadiz
Catch
title_short Segmentation and fishery characteristics of the mixed-species multi-gear portuguese fleet
title_full Segmentation and fishery characteristics of the mixed-species multi-gear portuguese fleet
title_fullStr Segmentation and fishery characteristics of the mixed-species multi-gear portuguese fleet
title_full_unstemmed Segmentation and fishery characteristics of the mixed-species multi-gear portuguese fleet
title_sort Segmentation and fishery characteristics of the mixed-species multi-gear portuguese fleet
author Duarte, Rafael
author_facet Duarte, Rafael
Azevedo, Manuela
Afonso-Dias, Manuel
author_role author
author2 Azevedo, Manuela
Afonso-Dias, Manuel
author2_role author
author
dc.contributor.none.fl_str_mv Sapientia
dc.contributor.author.fl_str_mv Duarte, Rafael
Azevedo, Manuela
Afonso-Dias, Manuel
dc.subject.por.fl_str_mv Trawl fisheries
Gulf
Assemblages
Management
Definition
Components
Patterns
Demersal
Cadiz
Catch
topic Trawl fisheries
Gulf
Assemblages
Management
Definition
Components
Patterns
Demersal
Cadiz
Catch
description Fleet segmentation and knowledge of fishing fleet dynamics are essential to move from single species to fishery/fleet-based advice. The coastal mixed-species multi-gear Portuguese fleet comprises medium-sized (> 12m) vessels, using a diversity of passive gears, and is economically important. For hake (under a recovery plan) and monkfish (overexploited), it contributes > 50% to their total annuel landings. Commercial daily landings in 2005 from 271 vessels were analysed by region using non-hierarchical cluster analysis and multi-variate regression trees. The cluster analysis allowed the identification of regional fleet segments with a low mixture of species through-out the year. The multivariate regression trees were applied to clusters of vessels with a high mixture of species, to explain weekly landing profiles (species) by vessel technical characteristics, fishing license, and main landing port. The results showed a link between exploited species and geographic location, and in the north between vessel size and depth and an inshore/offshore range. Finally, from the analysis and for the most important species exploited by the Portuguese multi-gear fleet, it was possible to define two or three vessel groups that accounted for at least 50% of the landed value.
publishDate 2009
dc.date.none.fl_str_mv 2009-04
2009-04-01T00:00:00Z
2018-12-07T14:52:31Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.1/11108
url http://hdl.handle.net/10400.1/11108
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1054-3139
10.1093/icesjms/fsp019
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Oxford University Press
publisher.none.fl_str_mv Oxford University Press
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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