An approach to map and quantify the fishing effort of polyvalent passive gear fishing fleets using geospatial data
Autor(a) principal: | |
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Data de Publicação: | 2023 |
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/10400.1/19824 |
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. |
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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 |
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1799133341423763456 |