Modelling the distribution of rare and data-poor diadromous fish at sea for protected area management
ABSTRACT Anthropogenic pressures have resulted in declines in diadromous fish. Many diadromous fish which were commercially important are now threatened and protected. Little is known about their marine life history phases, and no observation-based Species Distribution Model exists for this group of...
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Language: | English |
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HAL CCSD
2022
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Online Access: | https://institut-agro-rennes-angers.hal.science/hal-03903455 https://doi.org/10.1101/2022.10.24.513530 |
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CIRAD: HAL (Agricultural Research for Development) |
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ftciradhal |
language |
English |
topic |
[SDV.EE]Life Sciences [q-bio]/Ecology environment |
spellingShingle |
[SDV.EE]Life Sciences [q-bio]/Ecology environment Elliott, Sophie Acou, Anthony Beaulaton, Laurent Guitton, Jérôme Réveillac, Elodie Rivot, Etienne Modelling the distribution of rare and data-poor diadromous fish at sea for protected area management |
topic_facet |
[SDV.EE]Life Sciences [q-bio]/Ecology environment |
description |
ABSTRACT Anthropogenic pressures have resulted in declines in diadromous fish. Many diadromous fish which were commercially important are now threatened and protected. Little is known about their marine life history phases, and no observation-based Species Distribution Model exists for this group of species at sea. Yet, fisheries dependent and independent data could provide new insights into the distribution of diadromous fish at sea. We collated a database of 168 904 hauls from fisheries observer bycatch data and scientific fisheries surveys, from eastern Atlantic and Mediterranean waters. The distribution of eleven rare and data-poor diadromous fish (shads, lampreys, salmonids, the European eel, the thinlip mullet, smelt and the European flounder) were modelled. A Bayesian site occupancy model, that incorporates imperfect detection to account for repeat detections and non-detections, the non-random nature of fishing gear type and spatial autocorrelation was used. From the model outputs, we explored bycatch risk and the role of MPAs, required under the Marine Strategy Framework Directive and Habitat Directive and assessed. Diadromous fish were observed within relatively shallow coastal areas. Species specific gear bycatch trends were observed. Core distribution areas corresponded to their known water basin presence, indicating connectivity with their freshwater habitats. Numerous Habitat Directive Marine Protected Areas were found to be of relevance. Given the coastal distribution of these species, they are exposed to higher anthropogenic pressures from both terrestrial and marine environments. Risk of bycatch at sea for most species appears to be low. Nonetheless, for threatened individuals, even a small amount of bycatch may impact their populations, especially since misreporting is likely to be high. Differences in catchability between gears highlight potential benefits of limiting access of certain gears within protected areas to reduce bycatch. |
author2 |
Station marine Dinard Centre De Recherche et d'Enseignement sur les Systèmes Côtiers (CRESCO) Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER) 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) Biologie du développement des espèces pérennes cultivées (UMR BEPC) Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université Montpellier 2 - Sciences et Techniques (UM2) Unité d'Ecologie et Ecotoxicologie Aquatiques (UEEA) Institut National de la Recherche Agronomique (INRA) Pôle Gest'Aqua Institut National de la Recherche Agronomique (INRA)-Office national de l'eau et des milieux aquatiques (ONEMA) Ministère de l'écologie, du développement durable et de l'énergie-Ministère de l'écologie, du développement durable et de l'énergie Agence Française pour la Biodiversité (AFB) 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) Écologie et santé des écosystèmes (ESE) Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-INSTITUT AGRO Agrocampus Ouest Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro) LIttoral ENvironnement et Sociétés - UMR 7266 (LIENSs) Institut national des sciences de l'Univers (INSU - CNRS)-La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS) |
format |
Report |
author |
Elliott, Sophie Acou, Anthony Beaulaton, Laurent Guitton, Jérôme Réveillac, Elodie Rivot, Etienne |
author_facet |
Elliott, Sophie Acou, Anthony Beaulaton, Laurent Guitton, Jérôme Réveillac, Elodie Rivot, Etienne |
author_sort |
Elliott, Sophie |
title |
Modelling the distribution of rare and data-poor diadromous fish at sea for protected area management |
title_short |
Modelling the distribution of rare and data-poor diadromous fish at sea for protected area management |
title_full |
Modelling the distribution of rare and data-poor diadromous fish at sea for protected area management |
title_fullStr |
Modelling the distribution of rare and data-poor diadromous fish at sea for protected area management |
title_full_unstemmed |
Modelling the distribution of rare and data-poor diadromous fish at sea for protected area management |
title_sort |
modelling the distribution of rare and data-poor diadromous fish at sea for protected area management |
publisher |
HAL CCSD |
publishDate |
2022 |
url |
https://institut-agro-rennes-angers.hal.science/hal-03903455 https://doi.org/10.1101/2022.10.24.513530 |
genre |
European eel |
genre_facet |
European eel |
op_source |
https://institut-agro-rennes-angers.hal.science/hal-03903455 2022 |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1101/2022.10.24.513530 hal-03903455 https://institut-agro-rennes-angers.hal.science/hal-03903455 BIORXIV: 2022.10.24.513530 doi:10.1101/2022.10.24.513530 |
op_doi |
https://doi.org/10.1101/2022.10.24.513530 |
_version_ |
1766404682849189888 |
spelling |
ftciradhal:oai:HAL:hal-03903455v1 2023-05-15T16:08:40+02:00 Modelling the distribution of rare and data-poor diadromous fish at sea for protected area management Elliott, Sophie Acou, Anthony Beaulaton, Laurent Guitton, Jérôme Réveillac, Elodie Rivot, Etienne Station marine Dinard Centre De Recherche et d'Enseignement sur les Systèmes Côtiers (CRESCO) Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER) 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) Biologie du développement des espèces pérennes cultivées (UMR BEPC) Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université Montpellier 2 - Sciences et Techniques (UM2) Unité d'Ecologie et Ecotoxicologie Aquatiques (UEEA) Institut National de la Recherche Agronomique (INRA) Pôle Gest'Aqua Institut National de la Recherche Agronomique (INRA)-Office national de l'eau et des milieux aquatiques (ONEMA) Ministère de l'écologie, du développement durable et de l'énergie-Ministère de l'écologie, du développement durable et de l'énergie Agence Française pour la Biodiversité (AFB) 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) Écologie et santé des écosystèmes (ESE) Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-INSTITUT AGRO Agrocampus Ouest Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro) LIttoral ENvironnement et Sociétés - UMR 7266 (LIENSs) Institut national des sciences de l'Univers (INSU - CNRS)-La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS) 2022-12-16 https://institut-agro-rennes-angers.hal.science/hal-03903455 https://doi.org/10.1101/2022.10.24.513530 en eng HAL CCSD info:eu-repo/semantics/altIdentifier/doi/10.1101/2022.10.24.513530 hal-03903455 https://institut-agro-rennes-angers.hal.science/hal-03903455 BIORXIV: 2022.10.24.513530 doi:10.1101/2022.10.24.513530 https://institut-agro-rennes-angers.hal.science/hal-03903455 2022 [SDV.EE]Life Sciences [q-bio]/Ecology environment info:eu-repo/semantics/preprint Preprints, Working Papers, . 2022 ftciradhal https://doi.org/10.1101/2022.10.24.513530 2022-12-21T17:23:30Z ABSTRACT Anthropogenic pressures have resulted in declines in diadromous fish. Many diadromous fish which were commercially important are now threatened and protected. Little is known about their marine life history phases, and no observation-based Species Distribution Model exists for this group of species at sea. Yet, fisheries dependent and independent data could provide new insights into the distribution of diadromous fish at sea. We collated a database of 168 904 hauls from fisheries observer bycatch data and scientific fisheries surveys, from eastern Atlantic and Mediterranean waters. The distribution of eleven rare and data-poor diadromous fish (shads, lampreys, salmonids, the European eel, the thinlip mullet, smelt and the European flounder) were modelled. A Bayesian site occupancy model, that incorporates imperfect detection to account for repeat detections and non-detections, the non-random nature of fishing gear type and spatial autocorrelation was used. From the model outputs, we explored bycatch risk and the role of MPAs, required under the Marine Strategy Framework Directive and Habitat Directive and assessed. Diadromous fish were observed within relatively shallow coastal areas. Species specific gear bycatch trends were observed. Core distribution areas corresponded to their known water basin presence, indicating connectivity with their freshwater habitats. Numerous Habitat Directive Marine Protected Areas were found to be of relevance. Given the coastal distribution of these species, they are exposed to higher anthropogenic pressures from both terrestrial and marine environments. Risk of bycatch at sea for most species appears to be low. Nonetheless, for threatened individuals, even a small amount of bycatch may impact their populations, especially since misreporting is likely to be high. Differences in catchability between gears highlight potential benefits of limiting access of certain gears within protected areas to reduce bycatch. Report European eel CIRAD: HAL (Agricultural Research for Development) |