A life cycle model to assess the abundance of black scabbardfish, a widely distributed fish with cryptic migrations
International audience The spatio-temporal dynamics of the black scabbardfish ( Aphanopus carbo Lowe, 1839) abundance in the northeast Atlantic was modeled using two linked Bayesian state-space models fitted to fishery-dependent data from trawlers operating to the west and north off the British Isle...
Published in: | Canadian Journal of Fisheries and Aquatic Sciences |
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Online Access: | https://hal.inrae.fr/hal-04028671 https://doi.org/10.1139/cjfas-2021-0272 |
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ftinstagro:oai:HAL:hal-04028671v1 2024-06-23T07:52:34+00:00 A life cycle model to assess the abundance of black scabbardfish, a widely distributed fish with cryptic migrations Figueiredo, Ivone Natário, Isabel Lorance, Pascal Carvalho, M. Lucília Instituto Português de Investigação do Mar e da Atmosfera (IPMA) Universidade Nova de Lisboa = NOVA University Lisbon (NOVA) Dynamique et durabilité des écosystèmes : de la source à l’océan (DECOD) Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut Agro Rennes Angers Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro) Faculdade de Ciências Lisboa Universidade de Lisboa = University of Lisbon = Université de Lisbonne (ULISBOA) 2022-11-01 https://hal.inrae.fr/hal-04028671 https://doi.org/10.1139/cjfas-2021-0272 en eng HAL CCSD NRC Research Press info:eu-repo/semantics/altIdentifier/doi/10.1139/cjfas-2021-0272 hal-04028671 https://hal.inrae.fr/hal-04028671 doi:10.1139/cjfas-2021-0272 WOS: 000874706700001 ISSN: 0706-652X EISSN: 1205-7533 Canadian Journal of Fisheries and Aquatic Sciences https://hal.inrae.fr/hal-04028671 Canadian Journal of Fisheries and Aquatic Sciences, 2022, 79 (11), pp.1977-1991. ⟨10.1139/cjfas-2021-0272⟩ deep sea;abundance;Bayesian statistics;fishery management;spatial statistics [SDE]Environmental Sciences info:eu-repo/semantics/article Journal articles 2022 ftinstagro https://doi.org/10.1139/cjfas-2021-0272 2024-05-29T23:43:03Z International audience The spatio-temporal dynamics of the black scabbardfish ( Aphanopus carbo Lowe, 1839) abundance in the northeast Atlantic was modeled using two linked Bayesian state-space models fitted to fishery-dependent data from trawlers operating to the west and north off the British Isles and longliners off the west coast of Portugal. The stage-structured life cycle models included species vital processes and fishing, and are linked by the migration flow between the two areas. Although data on spawner abundance and recruitment are missing, the hierarchical nature of state-space models allows a convenient representation of black scabbardfish dynamics using reliable data from the two studied areas, which correspond to two of the three main fishing grounds for the species. The approach presented is comparable to the few models developed for other species, such as European eel, where spawning and recruitment occur at restricted and distant regions. This approach is likely to remain the only option for black scabbardfish stock assessment and fisheries monitoring, as it is unlikely that data about the unobserved spawning and early life stages will become available in the near future. Article in Journal/Newspaper European eel Northeast Atlantic Portail HAL Institut Agro Lowe ENVELOPE(-30.309,-30.309,-80.537,-80.537) Canadian Journal of Fisheries and Aquatic Sciences 79 11 1977 1991 |
institution |
Open Polar |
collection |
Portail HAL Institut Agro |
op_collection_id |
ftinstagro |
language |
English |
topic |
deep sea;abundance;Bayesian statistics;fishery management;spatial statistics [SDE]Environmental Sciences |
spellingShingle |
deep sea;abundance;Bayesian statistics;fishery management;spatial statistics [SDE]Environmental Sciences Figueiredo, Ivone Natário, Isabel Lorance, Pascal Carvalho, M. Lucília A life cycle model to assess the abundance of black scabbardfish, a widely distributed fish with cryptic migrations |
topic_facet |
deep sea;abundance;Bayesian statistics;fishery management;spatial statistics [SDE]Environmental Sciences |
description |
International audience The spatio-temporal dynamics of the black scabbardfish ( Aphanopus carbo Lowe, 1839) abundance in the northeast Atlantic was modeled using two linked Bayesian state-space models fitted to fishery-dependent data from trawlers operating to the west and north off the British Isles and longliners off the west coast of Portugal. The stage-structured life cycle models included species vital processes and fishing, and are linked by the migration flow between the two areas. Although data on spawner abundance and recruitment are missing, the hierarchical nature of state-space models allows a convenient representation of black scabbardfish dynamics using reliable data from the two studied areas, which correspond to two of the three main fishing grounds for the species. The approach presented is comparable to the few models developed for other species, such as European eel, where spawning and recruitment occur at restricted and distant regions. This approach is likely to remain the only option for black scabbardfish stock assessment and fisheries monitoring, as it is unlikely that data about the unobserved spawning and early life stages will become available in the near future. |
author2 |
Instituto Português de Investigação do Mar e da Atmosfera (IPMA) Universidade Nova de Lisboa = NOVA University Lisbon (NOVA) Dynamique et durabilité des écosystèmes : de la source à l’océan (DECOD) Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut Agro Rennes Angers Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro) Faculdade de Ciências Lisboa Universidade de Lisboa = University of Lisbon = Université de Lisbonne (ULISBOA) |
format |
Article in Journal/Newspaper |
author |
Figueiredo, Ivone Natário, Isabel Lorance, Pascal Carvalho, M. Lucília |
author_facet |
Figueiredo, Ivone Natário, Isabel Lorance, Pascal Carvalho, M. Lucília |
author_sort |
Figueiredo, Ivone |
title |
A life cycle model to assess the abundance of black scabbardfish, a widely distributed fish with cryptic migrations |
title_short |
A life cycle model to assess the abundance of black scabbardfish, a widely distributed fish with cryptic migrations |
title_full |
A life cycle model to assess the abundance of black scabbardfish, a widely distributed fish with cryptic migrations |
title_fullStr |
A life cycle model to assess the abundance of black scabbardfish, a widely distributed fish with cryptic migrations |
title_full_unstemmed |
A life cycle model to assess the abundance of black scabbardfish, a widely distributed fish with cryptic migrations |
title_sort |
life cycle model to assess the abundance of black scabbardfish, a widely distributed fish with cryptic migrations |
publisher |
HAL CCSD |
publishDate |
2022 |
url |
https://hal.inrae.fr/hal-04028671 https://doi.org/10.1139/cjfas-2021-0272 |
long_lat |
ENVELOPE(-30.309,-30.309,-80.537,-80.537) |
geographic |
Lowe |
geographic_facet |
Lowe |
genre |
European eel Northeast Atlantic |
genre_facet |
European eel Northeast Atlantic |
op_source |
ISSN: 0706-652X EISSN: 1205-7533 Canadian Journal of Fisheries and Aquatic Sciences https://hal.inrae.fr/hal-04028671 Canadian Journal of Fisheries and Aquatic Sciences, 2022, 79 (11), pp.1977-1991. ⟨10.1139/cjfas-2021-0272⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1139/cjfas-2021-0272 hal-04028671 https://hal.inrae.fr/hal-04028671 doi:10.1139/cjfas-2021-0272 WOS: 000874706700001 |
op_doi |
https://doi.org/10.1139/cjfas-2021-0272 |
container_title |
Canadian Journal of Fisheries and Aquatic Sciences |
container_volume |
79 |
container_issue |
11 |
container_start_page |
1977 |
op_container_end_page |
1991 |
_version_ |
1802643920082960384 |