Modelling the distribution of vulnerable skate from fisheries dependent data using imperfect detection
International audience Little is still known about the biology and ecology of many elasmobranchs which often inhibits species specific management measures from being implemented. The primary aim of this study was to improve the knowledge on the distribution and habitat use of the threatened and data...
Published in: | Progress in Oceanography |
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Main Authors: | , , , |
Other Authors: | , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2022
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Subjects: | |
Online Access: | https://hal.science/hal-03830696 https://hal.science/hal-03830696/document https://hal.science/hal-03830696/file/Bisch%20et%20al.%20-%202022%20-%20Modelling%20the%20distribution%20of%20vulnerable%20skate%20fro%20%281%29.pdf https://doi.org/10.1016/j.pocean.2022.102859 |
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ftsorbonneuniv:oai:HAL:hal-03830696v1 |
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record_format |
openpolar |
institution |
Open Polar |
collection |
HAL Sorbonne Université |
op_collection_id |
ftsorbonneuniv |
language |
English |
topic |
Hierarchical Bayesian model Fishery-dependent data Habitat Elasmobranch IUCN Red List Species Data-poor species [SDE]Environmental Sciences [SDE.BE]Environmental Sciences/Biodiversity and Ecology |
spellingShingle |
Hierarchical Bayesian model Fishery-dependent data Habitat Elasmobranch IUCN Red List Species Data-poor species [SDE]Environmental Sciences [SDE.BE]Environmental Sciences/Biodiversity and Ecology Bisch, Amaëlle Elliott, Sophie, A M Carpentier, Alexandre Acou, Anthony Modelling the distribution of vulnerable skate from fisheries dependent data using imperfect detection |
topic_facet |
Hierarchical Bayesian model Fishery-dependent data Habitat Elasmobranch IUCN Red List Species Data-poor species [SDE]Environmental Sciences [SDE.BE]Environmental Sciences/Biodiversity and Ecology |
description |
International audience Little is still known about the biology and ecology of many elasmobranchs which often inhibits species specific management measures from being implemented. The primary aim of this study was to improve the knowledge on the distribution and habitat use of the threatened and data deficient shagreen ray, Leucoraja fullonica, using fisheries dependent data. To model its distribution, we used Bayesian hierarchical modelling, taking into consideration imperfect capture from the non-random nature of fishing gear type and spatial autocorrelation. Our second objective was to identify the potential functional role of the high occurrence area by analysing spatial length segregation using a generalised additive mixed model. From five environmental variables, depth, distance to coast, and seabed sediment type were used to model its habitat. L. fullonica was found to mainly inhabit an area of high concentration between the southern Celtic Seas and the northern Bay of Biscay. Within this area, smaller individuals were found in the deeper south-western part and larger individuals in shallower waters, closer to the coast, suggesting ontogenetic shift or spawning migration. L. fullonica were mainly caught by bottom trawl fishing gears. The isolated habitat occupancy of this species may increase its vulnerability, particularly since high fishing pressure has been observed in this area. These results highlight the importance of fisheries-dependent data for data-poor species and provide valuable new information on its ecology when considering management or conservation measures at a species level. |
author2 |
Centre De Recherche et d'Enseignement sur les Systèmes Côtiers (CRESCO) Muséum national d'Histoire naturelle (MNHN)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER) 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) Biologie des Organismes et Ecosystèmes Aquatiques (BOREA) Université de Caen Normandie (UNICAEN) Normandie Université (NU)-Normandie Université (NU)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA) Patrimoine naturel (PatriNat) Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Office français de la biodiversité (OFB) UMS PatriNat |
format |
Article in Journal/Newspaper |
author |
Bisch, Amaëlle Elliott, Sophie, A M Carpentier, Alexandre Acou, Anthony |
author_facet |
Bisch, Amaëlle Elliott, Sophie, A M Carpentier, Alexandre Acou, Anthony |
author_sort |
Bisch, Amaëlle |
title |
Modelling the distribution of vulnerable skate from fisheries dependent data using imperfect detection |
title_short |
Modelling the distribution of vulnerable skate from fisheries dependent data using imperfect detection |
title_full |
Modelling the distribution of vulnerable skate from fisheries dependent data using imperfect detection |
title_fullStr |
Modelling the distribution of vulnerable skate from fisheries dependent data using imperfect detection |
title_full_unstemmed |
Modelling the distribution of vulnerable skate from fisheries dependent data using imperfect detection |
title_sort |
modelling the distribution of vulnerable skate from fisheries dependent data using imperfect detection |
publisher |
HAL CCSD |
publishDate |
2022 |
url |
https://hal.science/hal-03830696 https://hal.science/hal-03830696/document https://hal.science/hal-03830696/file/Bisch%20et%20al.%20-%202022%20-%20Modelling%20the%20distribution%20of%20vulnerable%20skate%20fro%20%281%29.pdf https://doi.org/10.1016/j.pocean.2022.102859 |
genre |
Leucoraja fullonica |
genre_facet |
Leucoraja fullonica |
op_source |
ISSN: 0079-6611 Progress in Oceanography https://hal.science/hal-03830696 Progress in Oceanography, 2022, 206, pp.102859. ⟨10.1016/j.pocean.2022.102859⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.pocean.2022.102859 hal-03830696 https://hal.science/hal-03830696 https://hal.science/hal-03830696/document https://hal.science/hal-03830696/file/Bisch%20et%20al.%20-%202022%20-%20Modelling%20the%20distribution%20of%20vulnerable%20skate%20fro%20%281%29.pdf doi:10.1016/j.pocean.2022.102859 WOS: 000856893400003 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1016/j.pocean.2022.102859 |
container_title |
Progress in Oceanography |
container_volume |
206 |
container_start_page |
102859 |
_version_ |
1810455919288385536 |
spelling |
ftsorbonneuniv:oai:HAL:hal-03830696v1 2024-09-15T18:17:49+00:00 Modelling the distribution of vulnerable skate from fisheries dependent data using imperfect detection Bisch, Amaëlle Elliott, Sophie, A M Carpentier, Alexandre Acou, Anthony Centre De Recherche et d'Enseignement sur les Systèmes Côtiers (CRESCO) Muséum national d'Histoire naturelle (MNHN)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER) 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) Biologie des Organismes et Ecosystèmes Aquatiques (BOREA) Université de Caen Normandie (UNICAEN) Normandie Université (NU)-Normandie Université (NU)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA) Patrimoine naturel (PatriNat) Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Office français de la biodiversité (OFB) UMS PatriNat 2022-07-21 https://hal.science/hal-03830696 https://hal.science/hal-03830696/document https://hal.science/hal-03830696/file/Bisch%20et%20al.%20-%202022%20-%20Modelling%20the%20distribution%20of%20vulnerable%20skate%20fro%20%281%29.pdf https://doi.org/10.1016/j.pocean.2022.102859 en eng HAL CCSD Elsevier info:eu-repo/semantics/altIdentifier/doi/10.1016/j.pocean.2022.102859 hal-03830696 https://hal.science/hal-03830696 https://hal.science/hal-03830696/document https://hal.science/hal-03830696/file/Bisch%20et%20al.%20-%202022%20-%20Modelling%20the%20distribution%20of%20vulnerable%20skate%20fro%20%281%29.pdf doi:10.1016/j.pocean.2022.102859 WOS: 000856893400003 info:eu-repo/semantics/OpenAccess ISSN: 0079-6611 Progress in Oceanography https://hal.science/hal-03830696 Progress in Oceanography, 2022, 206, pp.102859. ⟨10.1016/j.pocean.2022.102859⟩ Hierarchical Bayesian model Fishery-dependent data Habitat Elasmobranch IUCN Red List Species Data-poor species [SDE]Environmental Sciences [SDE.BE]Environmental Sciences/Biodiversity and Ecology info:eu-repo/semantics/article Journal articles 2022 ftsorbonneuniv https://doi.org/10.1016/j.pocean.2022.102859 2024-07-25T23:47:45Z International audience Little is still known about the biology and ecology of many elasmobranchs which often inhibits species specific management measures from being implemented. The primary aim of this study was to improve the knowledge on the distribution and habitat use of the threatened and data deficient shagreen ray, Leucoraja fullonica, using fisheries dependent data. To model its distribution, we used Bayesian hierarchical modelling, taking into consideration imperfect capture from the non-random nature of fishing gear type and spatial autocorrelation. Our second objective was to identify the potential functional role of the high occurrence area by analysing spatial length segregation using a generalised additive mixed model. From five environmental variables, depth, distance to coast, and seabed sediment type were used to model its habitat. L. fullonica was found to mainly inhabit an area of high concentration between the southern Celtic Seas and the northern Bay of Biscay. Within this area, smaller individuals were found in the deeper south-western part and larger individuals in shallower waters, closer to the coast, suggesting ontogenetic shift or spawning migration. L. fullonica were mainly caught by bottom trawl fishing gears. The isolated habitat occupancy of this species may increase its vulnerability, particularly since high fishing pressure has been observed in this area. These results highlight the importance of fisheries-dependent data for data-poor species and provide valuable new information on its ecology when considering management or conservation measures at a species level. Article in Journal/Newspaper Leucoraja fullonica HAL Sorbonne Université Progress in Oceanography 206 102859 |