Segmentation and fishery characteristics of the mixed-species multi-gear portuguese fleet
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | , |
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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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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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1799133260808192000 |