Diving Behavior of Mirounga leonina: A Functional Data Analysis Approach
International audience The diving behavior of southern elephant seals, Mirounga leonina, is investigated through the analysis of time-depth dive profiles. The originality of this work is to consider dive profiles as continuous curves. For this purpose, a Functional Data Analysis (FDA) approach is pr...
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ftinsu:oai:HAL:hal-02969745v1 2024-02-11T10:03:32+01:00 Diving Behavior of Mirounga leonina: A Functional Data Analysis Approach Godard, Morgan Manté, Claude Guinet, Christophe Picard, Baptiste Nerini, David Aix Marseille Université (AMU) 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) Institut méditerranéen d'océanologie (MIO) Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS) 2020-09-22 https://hal.science/hal-02969745 https://hal.science/hal-02969745/document https://hal.science/hal-02969745/file/fmars-07-00595-1.pdf https://doi.org/10.3389/fmars.2020.00595 en eng HAL CCSD Frontiers Media info:eu-repo/semantics/altIdentifier/doi/10.3389/fmars.2020.00595 hal-02969745 https://hal.science/hal-02969745 https://hal.science/hal-02969745/document https://hal.science/hal-02969745/file/fmars-07-00595-1.pdf doi:10.3389/fmars.2020.00595 http://creativecommons.org/licenses/by-nd/ info:eu-repo/semantics/OpenAccess ISSN: 2296-7745 Frontiers in Marine Science https://hal.science/hal-02969745 Frontiers in Marine Science, 2020, 7, ⟨10.3389/fmars.2020.00595⟩ elephant seals foraging behavior functional data analysis capture events dive curves [SDE.BE]Environmental Sciences/Biodiversity and Ecology [STAT]Statistics [stat] info:eu-repo/semantics/article Journal articles 2020 ftinsu https://doi.org/10.3389/fmars.2020.00595 2024-01-24T17:33:13Z International audience The diving behavior of southern elephant seals, Mirounga leonina, is investigated through the analysis of time-depth dive profiles. The originality of this work is to consider dive profiles as continuous curves. For this purpose, a Functional Data Analysis (FDA) approach is proposed for the shape analysis of a collection of dive profiles. Complexity of dive shapes is characterized by a mixture of three main shape variations accounting for about 80% of the entire variability: U or V shape, vertical depth variability during the bottom time, and skewed left or right. Model-based clustering allows the identification of eight dive shape clusters in a quick and automated way. Connection between shape patterns and classical descriptors, as well as the number of prey capture events, is achieved, showing that the clusters are coherent to specific foraging behaviors previously identified in the literature labeled as drift, exploratory and active dives. Finally, FDA is compared to classical methods relying on the computation of discrete dive descriptors. Results show that taking the shape of the dive as a whole is more resilient to corrupted or incomplete sampled data. FDA is, therefore, an efficient tool adapted for processing and comparing dive data with different sampling frequencies and for improving the quality and the accuracy of transmitted data. Article in Journal/Newspaper Elephant Seals Mirounga leonina Southern Elephant Seals Institut national des sciences de l'Univers: HAL-INSU Frontiers in Marine Science 7 |
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Open Polar |
collection |
Institut national des sciences de l'Univers: HAL-INSU |
op_collection_id |
ftinsu |
language |
English |
topic |
elephant seals foraging behavior functional data analysis capture events dive curves [SDE.BE]Environmental Sciences/Biodiversity and Ecology [STAT]Statistics [stat] |
spellingShingle |
elephant seals foraging behavior functional data analysis capture events dive curves [SDE.BE]Environmental Sciences/Biodiversity and Ecology [STAT]Statistics [stat] Godard, Morgan Manté, Claude Guinet, Christophe Picard, Baptiste Nerini, David Diving Behavior of Mirounga leonina: A Functional Data Analysis Approach |
topic_facet |
elephant seals foraging behavior functional data analysis capture events dive curves [SDE.BE]Environmental Sciences/Biodiversity and Ecology [STAT]Statistics [stat] |
description |
International audience The diving behavior of southern elephant seals, Mirounga leonina, is investigated through the analysis of time-depth dive profiles. The originality of this work is to consider dive profiles as continuous curves. For this purpose, a Functional Data Analysis (FDA) approach is proposed for the shape analysis of a collection of dive profiles. Complexity of dive shapes is characterized by a mixture of three main shape variations accounting for about 80% of the entire variability: U or V shape, vertical depth variability during the bottom time, and skewed left or right. Model-based clustering allows the identification of eight dive shape clusters in a quick and automated way. Connection between shape patterns and classical descriptors, as well as the number of prey capture events, is achieved, showing that the clusters are coherent to specific foraging behaviors previously identified in the literature labeled as drift, exploratory and active dives. Finally, FDA is compared to classical methods relying on the computation of discrete dive descriptors. Results show that taking the shape of the dive as a whole is more resilient to corrupted or incomplete sampled data. FDA is, therefore, an efficient tool adapted for processing and comparing dive data with different sampling frequencies and for improving the quality and the accuracy of transmitted data. |
author2 |
Aix Marseille Université (AMU) 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) Institut méditerranéen d'océanologie (MIO) Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS) |
format |
Article in Journal/Newspaper |
author |
Godard, Morgan Manté, Claude Guinet, Christophe Picard, Baptiste Nerini, David |
author_facet |
Godard, Morgan Manté, Claude Guinet, Christophe Picard, Baptiste Nerini, David |
author_sort |
Godard, Morgan |
title |
Diving Behavior of Mirounga leonina: A Functional Data Analysis Approach |
title_short |
Diving Behavior of Mirounga leonina: A Functional Data Analysis Approach |
title_full |
Diving Behavior of Mirounga leonina: A Functional Data Analysis Approach |
title_fullStr |
Diving Behavior of Mirounga leonina: A Functional Data Analysis Approach |
title_full_unstemmed |
Diving Behavior of Mirounga leonina: A Functional Data Analysis Approach |
title_sort |
diving behavior of mirounga leonina: a functional data analysis approach |
publisher |
HAL CCSD |
publishDate |
2020 |
url |
https://hal.science/hal-02969745 https://hal.science/hal-02969745/document https://hal.science/hal-02969745/file/fmars-07-00595-1.pdf https://doi.org/10.3389/fmars.2020.00595 |
genre |
Elephant Seals Mirounga leonina Southern Elephant Seals |
genre_facet |
Elephant Seals Mirounga leonina Southern Elephant Seals |
op_source |
ISSN: 2296-7745 Frontiers in Marine Science https://hal.science/hal-02969745 Frontiers in Marine Science, 2020, 7, ⟨10.3389/fmars.2020.00595⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.3389/fmars.2020.00595 hal-02969745 https://hal.science/hal-02969745 https://hal.science/hal-02969745/document https://hal.science/hal-02969745/file/fmars-07-00595-1.pdf doi:10.3389/fmars.2020.00595 |
op_rights |
http://creativecommons.org/licenses/by-nd/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.3389/fmars.2020.00595 |
container_title |
Frontiers in Marine Science |
container_volume |
7 |
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1790599791654207488 |