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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Online Access: | https://hal.archives-ouvertes.fr/hal-03830696 https://doi.org/10.1016/j.pocean.2022.102859 |
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ftunivrennes1hal:oai:HAL:hal-03830696v1 2023-05-15T17:07:59+02:00 Modelling the distribution of vulnerable skate from fisheries dependent data using imperfect detection Bisch, Amaelle Elliott, Sophie A. M. Carpentier, Alexandre Acou, Anthony Centre De Recherche et d'Enseignement sur les Systèmes Côtiers (CRESCO) 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) 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) Muséum national d'Histoire naturelle (MNHN) Office français de la biodiversité (OFB) UMS PatriNat 2022 https://hal.archives-ouvertes.fr/hal-03830696 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.archives-ouvertes.fr/hal-03830696 doi:10.1016/j.pocean.2022.102859 WOS: 000856893400003 ISSN: 0079-6611 Progress in Oceanography https://hal.archives-ouvertes.fr/hal-03830696 Progress in Oceanography, Elsevier, 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 info:eu-repo/semantics/article Journal articles 2022 ftunivrennes1hal https://doi.org/10.1016/j.pocean.2022.102859 2022-11-01T23:46:25Z 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 Université de Rennes 1: Publications scientifiques (HAL) Progress in Oceanography 206 102859 |
institution |
Open Polar |
collection |
Université de Rennes 1: Publications scientifiques (HAL) |
op_collection_id |
ftunivrennes1hal |
language |
English |
topic |
Hierarchical Bayesian model Fishery-dependent data Habitat Elasmobranch IUCN Red List Species Data-poor species [SDE]Environmental Sciences |
spellingShingle |
Hierarchical Bayesian model Fishery-dependent data Habitat Elasmobranch IUCN Red List Species Data-poor species [SDE]Environmental Sciences Bisch, Amaelle 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 |
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) 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) 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) Muséum national d'Histoire naturelle (MNHN) Office français de la biodiversité (OFB) UMS PatriNat |
format |
Article in Journal/Newspaper |
author |
Bisch, Amaelle Elliott, Sophie A. M. Carpentier, Alexandre Acou, Anthony |
author_facet |
Bisch, Amaelle Elliott, Sophie A. M. Carpentier, Alexandre Acou, Anthony |
author_sort |
Bisch, Amaelle |
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.archives-ouvertes.fr/hal-03830696 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.archives-ouvertes.fr/hal-03830696 Progress in Oceanography, Elsevier, 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.archives-ouvertes.fr/hal-03830696 doi:10.1016/j.pocean.2022.102859 WOS: 000856893400003 |
op_doi |
https://doi.org/10.1016/j.pocean.2022.102859 |
container_title |
Progress in Oceanography |
container_volume |
206 |
container_start_page |
102859 |
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1766063514350256128 |