An approach to map and quantify the fishing effort of polyvalent passive gear fishing fleets using geospatial data

Detalhes bibliográficos
Autor(a) principal: Sales Henriques, Nuno
Data de Publicação: 2023
Outros Autores: Russo, Tommaso, Bentes, Luis, Monteiro, Pedro, Parisi, Antonio, Magno, Ramiro, Oliveira, Frederico, Erzini, Karim, Gonçalves, Jorge Manuel Santos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.1/19824
Resumo: The use of tracking devices, such as vessel monitoring systems or automatic identification system, enabled us to expand our knowledge on the distribution and quantification of fishing activities. However, methods and models based on vessel tracking data are mostly devised to be applied to towed gears, whereas applications to multi-gear and passive fisheries have been underrepresented. Here, we propose a methodology to deal with geospatial data to map and quantify the fishing effort, as soak time, of passive fishing gears used by a multi-gear fishing fleet. This approach can be adapted to other passive multi-or single-gear fisheries, since it requires only three variables that can be extracted from a pre-classified dataset, to identify the beginning (gear deployment) and the end (hauling) of passive fishing events. As far as we are aware, this is the first time a methodology that allows quantifying the soak time of static passive fishing events, within a polyvalent fishery context, is presented. We argue that the information that can be extracted from such approaches could contribute to improved management of multi-gear and static-gear fisheries and the ecosystem-based approach.
id RCAP_a4b2fa17db9334b512a41fdf10aefedf
oai_identifier_str oai:sapientia.ualg.pt:10400.1/19824
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling An approach to map and quantify the fishing effort of polyvalent passive gear fishing fleets using geospatial dataAisFisheries mappingFishing effortPassive fishing gearsPolyvalent fishing fleetSoak timeVessel tracking dataThe use of tracking devices, such as vessel monitoring systems or automatic identification system, enabled us to expand our knowledge on the distribution and quantification of fishing activities. However, methods and models based on vessel tracking data are mostly devised to be applied to towed gears, whereas applications to multi-gear and passive fisheries have been underrepresented. Here, we propose a methodology to deal with geospatial data to map and quantify the fishing effort, as soak time, of passive fishing gears used by a multi-gear fishing fleet. This approach can be adapted to other passive multi-or single-gear fisheries, since it requires only three variables that can be extracted from a pre-classified dataset, to identify the beginning (gear deployment) and the end (hauling) of passive fishing events. As far as we are aware, this is the first time a methodology that allows quantifying the soak time of static passive fishing events, within a polyvalent fishery context, is presented. We argue that the information that can be extracted from such approaches could contribute to improved management of multi-gear and static-gear fisheries and the ecosystem-based approach.LA/P/0101/2020Oxford University PressSapientiaSales Henriques, NunoRusso, TommasoBentes, LuisMonteiro, PedroParisi, AntonioMagno, RamiroOliveira, FredericoErzini, KarimGonçalves, Jorge Manuel Santos2023-07-10T14:04:40Z20232023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/19824eng1054-313910.1093/icesjms/fsad092info: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:RCAAP2023-07-24T10:32:22Zoai:sapientia.ualg.pt:10400.1/19824Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:09:22.656221Repositório 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 An approach to map and quantify the fishing effort of polyvalent passive gear fishing fleets using geospatial data
title An approach to map and quantify the fishing effort of polyvalent passive gear fishing fleets using geospatial data
spellingShingle An approach to map and quantify the fishing effort of polyvalent passive gear fishing fleets using geospatial data
Sales Henriques, Nuno
Ais
Fisheries mapping
Fishing effort
Passive fishing gears
Polyvalent fishing fleet
Soak time
Vessel tracking data
title_short An approach to map and quantify the fishing effort of polyvalent passive gear fishing fleets using geospatial data
title_full An approach to map and quantify the fishing effort of polyvalent passive gear fishing fleets using geospatial data
title_fullStr An approach to map and quantify the fishing effort of polyvalent passive gear fishing fleets using geospatial data
title_full_unstemmed An approach to map and quantify the fishing effort of polyvalent passive gear fishing fleets using geospatial data
title_sort An approach to map and quantify the fishing effort of polyvalent passive gear fishing fleets using geospatial data
author Sales Henriques, Nuno
author_facet Sales Henriques, Nuno
Russo, Tommaso
Bentes, Luis
Monteiro, Pedro
Parisi, Antonio
Magno, Ramiro
Oliveira, Frederico
Erzini, Karim
Gonçalves, Jorge Manuel Santos
author_role author
author2 Russo, Tommaso
Bentes, Luis
Monteiro, Pedro
Parisi, Antonio
Magno, Ramiro
Oliveira, Frederico
Erzini, Karim
Gonçalves, Jorge Manuel Santos
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Sapientia
dc.contributor.author.fl_str_mv Sales Henriques, Nuno
Russo, Tommaso
Bentes, Luis
Monteiro, Pedro
Parisi, Antonio
Magno, Ramiro
Oliveira, Frederico
Erzini, Karim
Gonçalves, Jorge Manuel Santos
dc.subject.por.fl_str_mv Ais
Fisheries mapping
Fishing effort
Passive fishing gears
Polyvalent fishing fleet
Soak time
Vessel tracking data
topic Ais
Fisheries mapping
Fishing effort
Passive fishing gears
Polyvalent fishing fleet
Soak time
Vessel tracking data
description The use of tracking devices, such as vessel monitoring systems or automatic identification system, enabled us to expand our knowledge on the distribution and quantification of fishing activities. However, methods and models based on vessel tracking data are mostly devised to be applied to towed gears, whereas applications to multi-gear and passive fisheries have been underrepresented. Here, we propose a methodology to deal with geospatial data to map and quantify the fishing effort, as soak time, of passive fishing gears used by a multi-gear fishing fleet. This approach can be adapted to other passive multi-or single-gear fisheries, since it requires only three variables that can be extracted from a pre-classified dataset, to identify the beginning (gear deployment) and the end (hauling) of passive fishing events. As far as we are aware, this is the first time a methodology that allows quantifying the soak time of static passive fishing events, within a polyvalent fishery context, is presented. We argue that the information that can be extracted from such approaches could contribute to improved management of multi-gear and static-gear fisheries and the ecosystem-based approach.
publishDate 2023
dc.date.none.fl_str_mv 2023-07-10T14:04:40Z
2023
2023-01-01T00:00:00Z
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/10400.1/19824
url http://hdl.handle.net/10400.1/19824
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1054-3139
10.1093/icesjms/fsad092
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
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
repository.mail.fl_str_mv
_version_ 1799133341423763456