Delayed response to environmental conditions and infra-seasonal dynamics of the short-beaked common dolphin distribution
International audience Cetaceans adjust their distribution and abundance to encountered conditions across years and seasons, but we poorly understand such small-scale changes for many species, especially in winter. Crucial challenges confront some populations during this season, such as the high lev...
Published in: | Royal Society Open Science |
---|---|
Main Authors: | , , , , , , |
Other Authors: | , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2022
|
Subjects: | |
Online Access: | https://hal.science/hal-03882703 https://hal.science/hal-03882703/document https://hal.science/hal-03882703/file/rsos.220379.pdf https://doi.org/10.1098/rsos.220379 |
id |
ftunivrochelle:oai:HAL:hal-03882703v1 |
---|---|
record_format |
openpolar |
spelling |
ftunivrochelle:oai:HAL:hal-03882703v1 2024-02-11T10:07:03+01:00 Delayed response to environmental conditions and infra-seasonal dynamics of the short-beaked common dolphin distribution Lambert, Charlotte Authier, Matthieu Blanchard, Ariane Dorémus, Ghislain Laran, Sophie van Canneyt, Olivier Spitz, Jérôme 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) Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC) La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS) 2022-11 https://hal.science/hal-03882703 https://hal.science/hal-03882703/document https://hal.science/hal-03882703/file/rsos.220379.pdf https://doi.org/10.1098/rsos.220379 en eng HAL CCSD The Royal Society info:eu-repo/semantics/altIdentifier/doi/10.1098/rsos.220379 hal-03882703 https://hal.science/hal-03882703 https://hal.science/hal-03882703/document https://hal.science/hal-03882703/file/rsos.220379.pdf doi:10.1098/rsos.220379 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 2054-5703 Royal Society Open Science https://hal.science/hal-03882703 Royal Society Open Science, 2022, 9 (11), ⟨10.1098/rsos.220379⟩ winter Bay of Biscay simulation temporal lag dynamic species distribution modelling Manuscript published in Royal Society Open Science Bay of Biscay simulation temporal lag dynamic species distribution modelling Manuscript published in Royal Society Open Science [SDE.BE]Environmental Sciences/Biodiversity and Ecology info:eu-repo/semantics/article Journal articles 2022 ftunivrochelle https://doi.org/10.1098/rsos.220379 2024-01-23T23:34:18Z International audience Cetaceans adjust their distribution and abundance to encountered conditions across years and seasons, but we poorly understand such small-scale changes for many species, especially in winter. Crucial challenges confront some populations during this season, such as the high levels of fisheries-induced mortality faced by the common dolphin ( Delphinus delphis ) in the Northeast Atlantic shelves. For such species, understanding the winter fine-scale dynamics is crucial. We aimed to identify the dolphin distribution drivers during the winters of 2020 and 2021, with a focus on determining the lag between changes in oceanographic conditions and dolphin distribution. The changes were related to temporal delays specific to the nature and cascading effects that oceanographic processes had on the trophic chain. By determining the most important conditions and lags to dolphin distributions, we shed light on the poorly understood intrusions of dolphins within coastal waters during winter: they displayed a strong preference for the coastal-shelf waters front and extensively followed its spatial variations, with their overall densities increasing over the period and peaking in March–April. The results presented here provide invaluable information on the winter distribution dynamics and should inform management decisions to help reduce the unsustainable mortalities of this species in the by-catch of fisheries. Article in Journal/Newspaper Northeast Atlantic HAL - Université de La Rochelle Winter Bay ENVELOPE(77.877,77.877,-68.820,-68.820) Royal Society Open Science 9 11 |
institution |
Open Polar |
collection |
HAL - Université de La Rochelle |
op_collection_id |
ftunivrochelle |
language |
English |
topic |
winter Bay of Biscay simulation temporal lag dynamic species distribution modelling Manuscript published in Royal Society Open Science Bay of Biscay simulation temporal lag dynamic species distribution modelling Manuscript published in Royal Society Open Science [SDE.BE]Environmental Sciences/Biodiversity and Ecology |
spellingShingle |
winter Bay of Biscay simulation temporal lag dynamic species distribution modelling Manuscript published in Royal Society Open Science Bay of Biscay simulation temporal lag dynamic species distribution modelling Manuscript published in Royal Society Open Science [SDE.BE]Environmental Sciences/Biodiversity and Ecology Lambert, Charlotte Authier, Matthieu Blanchard, Ariane Dorémus, Ghislain Laran, Sophie van Canneyt, Olivier Spitz, Jérôme Delayed response to environmental conditions and infra-seasonal dynamics of the short-beaked common dolphin distribution |
topic_facet |
winter Bay of Biscay simulation temporal lag dynamic species distribution modelling Manuscript published in Royal Society Open Science Bay of Biscay simulation temporal lag dynamic species distribution modelling Manuscript published in Royal Society Open Science [SDE.BE]Environmental Sciences/Biodiversity and Ecology |
description |
International audience Cetaceans adjust their distribution and abundance to encountered conditions across years and seasons, but we poorly understand such small-scale changes for many species, especially in winter. Crucial challenges confront some populations during this season, such as the high levels of fisheries-induced mortality faced by the common dolphin ( Delphinus delphis ) in the Northeast Atlantic shelves. For such species, understanding the winter fine-scale dynamics is crucial. We aimed to identify the dolphin distribution drivers during the winters of 2020 and 2021, with a focus on determining the lag between changes in oceanographic conditions and dolphin distribution. The changes were related to temporal delays specific to the nature and cascading effects that oceanographic processes had on the trophic chain. By determining the most important conditions and lags to dolphin distributions, we shed light on the poorly understood intrusions of dolphins within coastal waters during winter: they displayed a strong preference for the coastal-shelf waters front and extensively followed its spatial variations, with their overall densities increasing over the period and peaking in March–April. The results presented here provide invaluable information on the winter distribution dynamics and should inform management decisions to help reduce the unsustainable mortalities of this species in the by-catch of fisheries. |
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) Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC) La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS) |
format |
Article in Journal/Newspaper |
author |
Lambert, Charlotte Authier, Matthieu Blanchard, Ariane Dorémus, Ghislain Laran, Sophie van Canneyt, Olivier Spitz, Jérôme |
author_facet |
Lambert, Charlotte Authier, Matthieu Blanchard, Ariane Dorémus, Ghislain Laran, Sophie van Canneyt, Olivier Spitz, Jérôme |
author_sort |
Lambert, Charlotte |
title |
Delayed response to environmental conditions and infra-seasonal dynamics of the short-beaked common dolphin distribution |
title_short |
Delayed response to environmental conditions and infra-seasonal dynamics of the short-beaked common dolphin distribution |
title_full |
Delayed response to environmental conditions and infra-seasonal dynamics of the short-beaked common dolphin distribution |
title_fullStr |
Delayed response to environmental conditions and infra-seasonal dynamics of the short-beaked common dolphin distribution |
title_full_unstemmed |
Delayed response to environmental conditions and infra-seasonal dynamics of the short-beaked common dolphin distribution |
title_sort |
delayed response to environmental conditions and infra-seasonal dynamics of the short-beaked common dolphin distribution |
publisher |
HAL CCSD |
publishDate |
2022 |
url |
https://hal.science/hal-03882703 https://hal.science/hal-03882703/document https://hal.science/hal-03882703/file/rsos.220379.pdf https://doi.org/10.1098/rsos.220379 |
long_lat |
ENVELOPE(77.877,77.877,-68.820,-68.820) |
geographic |
Winter Bay |
geographic_facet |
Winter Bay |
genre |
Northeast Atlantic |
genre_facet |
Northeast Atlantic |
op_source |
ISSN: 2054-5703 Royal Society Open Science https://hal.science/hal-03882703 Royal Society Open Science, 2022, 9 (11), ⟨10.1098/rsos.220379⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1098/rsos.220379 hal-03882703 https://hal.science/hal-03882703 https://hal.science/hal-03882703/document https://hal.science/hal-03882703/file/rsos.220379.pdf doi:10.1098/rsos.220379 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1098/rsos.220379 |
container_title |
Royal Society Open Science |
container_volume |
9 |
container_issue |
11 |
_version_ |
1790605169080139776 |