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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Format: | Article in Journal/Newspaper |
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Online Access: | https://hal.inrae.fr/hal-04150737 https://doi.org/10.1139/cjfas-2021-0272 |
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ftccsdartic:oai:HAL:hal-04150737v1 2023-07-30T04:03:21+02:00 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) Faculdade de Ciências Lisboa Universidade de Lisboa = University of Lisbon (ULISBOA) 2022-11-01 https://hal.inrae.fr/hal-04150737 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-04150737 https://hal.inrae.fr/hal-04150737 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-04150737 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 [SDE.BE]Environmental Sciences/Biodiversity and Ecology info:eu-repo/semantics/article Journal articles 2022 ftccsdartic https://doi.org/10.1139/cjfas-2021-0272 2023-07-08T22:35:50Z 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 Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) 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 |
Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
op_collection_id |
ftccsdartic |
language |
English |
topic |
deep sea abundance Bayesian statistics fishery management spatial statistics [SDE]Environmental Sciences [SDE.BE]Environmental Sciences/Biodiversity and Ecology |
spellingShingle |
deep sea abundance Bayesian statistics fishery management spatial statistics [SDE]Environmental Sciences [SDE.BE]Environmental Sciences/Biodiversity and Ecology 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 [SDE.BE]Environmental Sciences/Biodiversity and Ecology |
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) Faculdade de Ciências Lisboa Universidade de Lisboa = University of Lisbon (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-04150737 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-04150737 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-04150737 https://hal.inrae.fr/hal-04150737 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_ |
1772814335327862784 |