Can we predict foraging success in a marine predator from dive patterns only? Validation with prey capture attempt data.
International audience Predicting how climatic variations will affect marine predator populations relies on our ability to assess foraging success, but evaluating foraging success in a marine predator at sea is particularly difficult. Dive metrics are commonly available for marine mammals, diving bi...
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Online Access: | https://hal.science/hal-00958732 https://hal.science/hal-00958732/document https://hal.science/hal-00958732/file/2014_Viviant_journal-pone_1.pdf https://doi.org/10.1371/journal.pone.0088503 |
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ftunivnantes:oai:HAL:hal-00958732v1 2023-05-15T13:34:07+02:00 Can we predict foraging success in a marine predator from dive patterns only? Validation with prey capture attempt data. Viviant, Morgane Monestiez, Pascal Guinet, Christophe Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC) Institut National de la Recherche Agronomique (INRA)-La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS) Biostatistique et Processus Spatiaux (BioSP) Institut National de la Recherche Agronomique (INRA) French Polar Institute (Institut Paul Emile Victor, IPEV) 109 Territoire des Terres Australes et Antarctiques Francaises (TAAF); French "Ministere de la Recherche'' through Pierre et Marie Curie University 2014 https://hal.science/hal-00958732 https://hal.science/hal-00958732/document https://hal.science/hal-00958732/file/2014_Viviant_journal-pone_1.pdf https://doi.org/10.1371/journal.pone.0088503 en eng HAL CCSD Public Library of Science info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0088503 info:eu-repo/semantics/altIdentifier/pmid/24603534 hal-00958732 https://hal.science/hal-00958732 https://hal.science/hal-00958732/document https://hal.science/hal-00958732/file/2014_Viviant_journal-pone_1.pdf doi:10.1371/journal.pone.0088503 PRODINRA: 256826 PUBMED: 24603534 WOS: 000332483600006 info:eu-repo/semantics/OpenAccess ISSN: 1932-6203 EISSN: 1932-6203 PLoS ONE https://hal.science/hal-00958732 PLoS ONE, 2014, 9 (3), pp.e88503. ⟨10.1371/journal.pone.0088503⟩ [SDE]Environmental Sciences info:eu-repo/semantics/article Journal articles 2014 ftunivnantes https://doi.org/10.1371/journal.pone.0088503 2023-02-08T06:39:36Z International audience Predicting how climatic variations will affect marine predator populations relies on our ability to assess foraging success, but evaluating foraging success in a marine predator at sea is particularly difficult. Dive metrics are commonly available for marine mammals, diving birds and some species of fish. Bottom duration or dive duration are usually used as proxies for foraging success. However, few studies have tried to validate these assumptions and identify the set of behavioral variables that best predict foraging success at a given time scale. The objective of this study was to assess if foraging success in Antarctic fur seals could be accurately predicted from dive parameters only, at different temporal scales. For this study, 11 individuals were equipped with either Hall sensors or accelerometers to record dive profiles and detect mouth-opening events, which were considered prey capture attempts. The number of prey capture attempts was best predicted by descent and ascent rates at the dive scale; bottom duration and descent rates at 30-min, 1-h, and 2-h scales; and ascent rates and maximum dive depths at the all-night scale. Model performances increased with temporal scales, but rank and sign of the factors varied according to the time scale considered, suggesting that behavioral adjustment in response to prey distribution could occur at certain scales only. The models predicted the foraging intensity of new individuals with good accuracy despite high inter-individual differences. Dive metrics that predict foraging success depend on the species and the scale considered, as verified by the literature and this study. The methodology used in our study is easy to implement, enables an assessment of model performance, and could be applied to any other marine predator. Article in Journal/Newspaper Antarc* Antarctic Antarctic Fur Seals Université de Nantes: HAL-UNIV-NANTES Antarctic PLoS ONE 9 3 e88503 |
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Open Polar |
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Université de Nantes: HAL-UNIV-NANTES |
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ftunivnantes |
language |
English |
topic |
[SDE]Environmental Sciences |
spellingShingle |
[SDE]Environmental Sciences Viviant, Morgane Monestiez, Pascal Guinet, Christophe Can we predict foraging success in a marine predator from dive patterns only? Validation with prey capture attempt data. |
topic_facet |
[SDE]Environmental Sciences |
description |
International audience Predicting how climatic variations will affect marine predator populations relies on our ability to assess foraging success, but evaluating foraging success in a marine predator at sea is particularly difficult. Dive metrics are commonly available for marine mammals, diving birds and some species of fish. Bottom duration or dive duration are usually used as proxies for foraging success. However, few studies have tried to validate these assumptions and identify the set of behavioral variables that best predict foraging success at a given time scale. The objective of this study was to assess if foraging success in Antarctic fur seals could be accurately predicted from dive parameters only, at different temporal scales. For this study, 11 individuals were equipped with either Hall sensors or accelerometers to record dive profiles and detect mouth-opening events, which were considered prey capture attempts. The number of prey capture attempts was best predicted by descent and ascent rates at the dive scale; bottom duration and descent rates at 30-min, 1-h, and 2-h scales; and ascent rates and maximum dive depths at the all-night scale. Model performances increased with temporal scales, but rank and sign of the factors varied according to the time scale considered, suggesting that behavioral adjustment in response to prey distribution could occur at certain scales only. The models predicted the foraging intensity of new individuals with good accuracy despite high inter-individual differences. Dive metrics that predict foraging success depend on the species and the scale considered, as verified by the literature and this study. The methodology used in our study is easy to implement, enables an assessment of model performance, and could be applied to any other marine predator. |
author2 |
Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC) Institut National de la Recherche Agronomique (INRA)-La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS) Biostatistique et Processus Spatiaux (BioSP) Institut National de la Recherche Agronomique (INRA) French Polar Institute (Institut Paul Emile Victor, IPEV) 109 Territoire des Terres Australes et Antarctiques Francaises (TAAF); French "Ministere de la Recherche'' through Pierre et Marie Curie University |
format |
Article in Journal/Newspaper |
author |
Viviant, Morgane Monestiez, Pascal Guinet, Christophe |
author_facet |
Viviant, Morgane Monestiez, Pascal Guinet, Christophe |
author_sort |
Viviant, Morgane |
title |
Can we predict foraging success in a marine predator from dive patterns only? Validation with prey capture attempt data. |
title_short |
Can we predict foraging success in a marine predator from dive patterns only? Validation with prey capture attempt data. |
title_full |
Can we predict foraging success in a marine predator from dive patterns only? Validation with prey capture attempt data. |
title_fullStr |
Can we predict foraging success in a marine predator from dive patterns only? Validation with prey capture attempt data. |
title_full_unstemmed |
Can we predict foraging success in a marine predator from dive patterns only? Validation with prey capture attempt data. |
title_sort |
can we predict foraging success in a marine predator from dive patterns only? validation with prey capture attempt data. |
publisher |
HAL CCSD |
publishDate |
2014 |
url |
https://hal.science/hal-00958732 https://hal.science/hal-00958732/document https://hal.science/hal-00958732/file/2014_Viviant_journal-pone_1.pdf https://doi.org/10.1371/journal.pone.0088503 |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic Antarctic Fur Seals |
genre_facet |
Antarc* Antarctic Antarctic Fur Seals |
op_source |
ISSN: 1932-6203 EISSN: 1932-6203 PLoS ONE https://hal.science/hal-00958732 PLoS ONE, 2014, 9 (3), pp.e88503. ⟨10.1371/journal.pone.0088503⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0088503 info:eu-repo/semantics/altIdentifier/pmid/24603534 hal-00958732 https://hal.science/hal-00958732 https://hal.science/hal-00958732/document https://hal.science/hal-00958732/file/2014_Viviant_journal-pone_1.pdf doi:10.1371/journal.pone.0088503 PRODINRA: 256826 PUBMED: 24603534 WOS: 000332483600006 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1371/journal.pone.0088503 |
container_title |
PLoS ONE |
container_volume |
9 |
container_issue |
3 |
container_start_page |
e88503 |
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