Deep ocean drivers better explain habitat preferences of sperm whales Physeter macrocephalus than beaked whales in the Bay of Biscay
International audience Abstract Species Distribution Models are commonly used with surface dynamic environmental variables as proxies for prey distribution to characterise marine top predator habitats. For oceanic species that spend lot of time at depth, surface variables might not be relevant to pr...
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Language: | English |
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2022
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Online Access: | https://hal.science/hal-03695769 https://hal.science/hal-03695769/document https://hal.science/hal-03695769/file/s41598-022-13546-x.pdf https://doi.org/10.1038/s41598-022-13546-x |
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ftunivrochelle:oai:HAL:hal-03695769v1 2024-05-12T08:08:04+00:00 Deep ocean drivers better explain habitat preferences of sperm whales Physeter macrocephalus than beaked whales in the Bay of Biscay Virgili, Auriane Teillard, Valentin Dorémus, Ghislain Dunn, Timothy Laran, Sophie Lewis, Mark Louzao, Maite Martínez-Cedeira, José Pettex, Emeline Ruiz, Leire Saavedra, Camilo Santos, M. Begoña van Canneyt, Olivier Vázquez Bonales, José Antonio Ridoux, Vincent Observatoire pour la Conservation de la Mégafaune Marine (PELAGIS) LIttoral ENvironnement et Sociétés (LIENSs) La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS)-La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS) Joint Nature Conservation Committee (UK) Inverdee House Basque Research and Technology Alliance (BRTA) Coordinadora para o Estudo dos Mamiferos Mariños (CEMMA) CEMMA ADERA, Cellule Cohabys (Cohabys) AMBAR Elkartea Organisation Bizkaia, Spain Instituto Español de Oceanografía - Spanish Institute of Oceanography (IEO) Consejo Superior de Investigaciones Cientificas España = Spanish National Research Council Spain (CSIC) Alnilam Research and Conservation Madrid, Spain 2022-12 https://hal.science/hal-03695769 https://hal.science/hal-03695769/document https://hal.science/hal-03695769/file/s41598-022-13546-x.pdf https://doi.org/10.1038/s41598-022-13546-x en eng HAL CCSD Nature Publishing Group info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-022-13546-x hal-03695769 https://hal.science/hal-03695769 https://hal.science/hal-03695769/document https://hal.science/hal-03695769/file/s41598-022-13546-x.pdf doi:10.1038/s41598-022-13546-x http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 2045-2322 EISSN: 2045-2322 Scientific Reports https://hal.science/hal-03695769 Scientific Reports, 2022, 12 (1), pp.9620. ⟨10.1038/s41598-022-13546-x⟩ [SDE]Environmental Sciences info:eu-repo/semantics/article Journal articles 2022 ftunivrochelle https://doi.org/10.1038/s41598-022-13546-x 2024-04-17T15:19:17Z International audience Abstract Species Distribution Models are commonly used with surface dynamic environmental variables as proxies for prey distribution to characterise marine top predator habitats. For oceanic species that spend lot of time at depth, surface variables might not be relevant to predict deep-dwelling prey distributions. We hypothesised that descriptors of deep-water layers would better predict the deep-diving cetacean distributions than surface variables. We combined static variables and dynamic variables integrated over different depth classes of the water column into Generalised Additive Models to predict the distribution of sperm whales Physeter macrocephalus and beaked whales Ziphiidae in the Bay of Biscay, eastern North Atlantic. We identified which variables best predicted their distribution. Although the highest densities of both taxa were predicted near the continental slope and canyons, the most important variables for beaked whales appeared to be static variables and surface to subsurface dynamic variables, while for sperm whales only surface and deep-water variables were selected. This could suggest differences in foraging strategies and in the prey targeted between the two taxa. Increasing the use of variables describing the deep-water layers would provide a better understanding of the oceanic species distribution and better assist in the planning of human activities in these habitats. Article in Journal/Newspaper North Atlantic Physeter macrocephalus HAL - Université de La Rochelle Scientific Reports 12 1 |
institution |
Open Polar |
collection |
HAL - Université de La Rochelle |
op_collection_id |
ftunivrochelle |
language |
English |
topic |
[SDE]Environmental Sciences |
spellingShingle |
[SDE]Environmental Sciences Virgili, Auriane Teillard, Valentin Dorémus, Ghislain Dunn, Timothy Laran, Sophie Lewis, Mark Louzao, Maite Martínez-Cedeira, José Pettex, Emeline Ruiz, Leire Saavedra, Camilo Santos, M. Begoña van Canneyt, Olivier Vázquez Bonales, José Antonio Ridoux, Vincent Deep ocean drivers better explain habitat preferences of sperm whales Physeter macrocephalus than beaked whales in the Bay of Biscay |
topic_facet |
[SDE]Environmental Sciences |
description |
International audience Abstract Species Distribution Models are commonly used with surface dynamic environmental variables as proxies for prey distribution to characterise marine top predator habitats. For oceanic species that spend lot of time at depth, surface variables might not be relevant to predict deep-dwelling prey distributions. We hypothesised that descriptors of deep-water layers would better predict the deep-diving cetacean distributions than surface variables. We combined static variables and dynamic variables integrated over different depth classes of the water column into Generalised Additive Models to predict the distribution of sperm whales Physeter macrocephalus and beaked whales Ziphiidae in the Bay of Biscay, eastern North Atlantic. We identified which variables best predicted their distribution. Although the highest densities of both taxa were predicted near the continental slope and canyons, the most important variables for beaked whales appeared to be static variables and surface to subsurface dynamic variables, while for sperm whales only surface and deep-water variables were selected. This could suggest differences in foraging strategies and in the prey targeted between the two taxa. Increasing the use of variables describing the deep-water layers would provide a better understanding of the oceanic species distribution and better assist in the planning of human activities in these habitats. |
author2 |
Observatoire pour la Conservation de la Mégafaune Marine (PELAGIS) LIttoral ENvironnement et Sociétés (LIENSs) La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS)-La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS) Joint Nature Conservation Committee (UK) Inverdee House Basque Research and Technology Alliance (BRTA) Coordinadora para o Estudo dos Mamiferos Mariños (CEMMA) CEMMA ADERA, Cellule Cohabys (Cohabys) AMBAR Elkartea Organisation Bizkaia, Spain Instituto Español de Oceanografía - Spanish Institute of Oceanography (IEO) Consejo Superior de Investigaciones Cientificas España = Spanish National Research Council Spain (CSIC) Alnilam Research and Conservation Madrid, Spain |
format |
Article in Journal/Newspaper |
author |
Virgili, Auriane Teillard, Valentin Dorémus, Ghislain Dunn, Timothy Laran, Sophie Lewis, Mark Louzao, Maite Martínez-Cedeira, José Pettex, Emeline Ruiz, Leire Saavedra, Camilo Santos, M. Begoña van Canneyt, Olivier Vázquez Bonales, José Antonio Ridoux, Vincent |
author_facet |
Virgili, Auriane Teillard, Valentin Dorémus, Ghislain Dunn, Timothy Laran, Sophie Lewis, Mark Louzao, Maite Martínez-Cedeira, José Pettex, Emeline Ruiz, Leire Saavedra, Camilo Santos, M. Begoña van Canneyt, Olivier Vázquez Bonales, José Antonio Ridoux, Vincent |
author_sort |
Virgili, Auriane |
title |
Deep ocean drivers better explain habitat preferences of sperm whales Physeter macrocephalus than beaked whales in the Bay of Biscay |
title_short |
Deep ocean drivers better explain habitat preferences of sperm whales Physeter macrocephalus than beaked whales in the Bay of Biscay |
title_full |
Deep ocean drivers better explain habitat preferences of sperm whales Physeter macrocephalus than beaked whales in the Bay of Biscay |
title_fullStr |
Deep ocean drivers better explain habitat preferences of sperm whales Physeter macrocephalus than beaked whales in the Bay of Biscay |
title_full_unstemmed |
Deep ocean drivers better explain habitat preferences of sperm whales Physeter macrocephalus than beaked whales in the Bay of Biscay |
title_sort |
deep ocean drivers better explain habitat preferences of sperm whales physeter macrocephalus than beaked whales in the bay of biscay |
publisher |
HAL CCSD |
publishDate |
2022 |
url |
https://hal.science/hal-03695769 https://hal.science/hal-03695769/document https://hal.science/hal-03695769/file/s41598-022-13546-x.pdf https://doi.org/10.1038/s41598-022-13546-x |
genre |
North Atlantic Physeter macrocephalus |
genre_facet |
North Atlantic Physeter macrocephalus |
op_source |
ISSN: 2045-2322 EISSN: 2045-2322 Scientific Reports https://hal.science/hal-03695769 Scientific Reports, 2022, 12 (1), pp.9620. ⟨10.1038/s41598-022-13546-x⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-022-13546-x hal-03695769 https://hal.science/hal-03695769 https://hal.science/hal-03695769/document https://hal.science/hal-03695769/file/s41598-022-13546-x.pdf doi:10.1038/s41598-022-13546-x |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1038/s41598-022-13546-x |
container_title |
Scientific Reports |
container_volume |
12 |
container_issue |
1 |
_version_ |
1798850937143427072 |