Comparative analysis of methods for inferring successful foraging areas from Argos and GPS tracking data
International audience Identifying animals' successful foraging areas is a major challenge, but such comprehensive knowledge is needed for the management and conservation of wild populations. In recent decades, numerous specific analytic methods have been developed to handle tracking data and t...
Published in: | Marine Ecology Progress Series |
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Main Authors: | , , , |
Other Authors: | , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2012
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Subjects: | |
Online Access: | https://hal.science/hal-00700857 https://hal.science/hal-00700857/document https://hal.science/hal-00700857/file/m452p253.pdf https://doi.org/10.3354/meps09618 |
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Open Polar |
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Université de Paris: Portail HAL |
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ftunivparis |
language |
English |
topic |
Area-restricted-search First bottom time Mirounga leonine Movement analysis State-space modelling [SDE]Environmental Sciences [SDU]Sciences of the Universe [physics] |
spellingShingle |
Area-restricted-search First bottom time Mirounga leonine Movement analysis State-space modelling [SDE]Environmental Sciences [SDU]Sciences of the Universe [physics] Dragon, Anne-Cécile Bar-Hen, Avner Monestiez, Pascal, P. Guinet, Christophe Comparative analysis of methods for inferring successful foraging areas from Argos and GPS tracking data |
topic_facet |
Area-restricted-search First bottom time Mirounga leonine Movement analysis State-space modelling [SDE]Environmental Sciences [SDU]Sciences of the Universe [physics] |
description |
International audience Identifying animals' successful foraging areas is a major challenge, but such comprehensive knowledge is needed for the management and conservation of wild populations. In recent decades, numerous specific analytic methods have been developed to handle tracking data and to identify preferred foraging areas. In this study, we assessed the efficiency of different track-based methods on Argos and GPS predators' tracks. We investigated (1) the consistency in the detection of foraging areas between track-based methods applied to 2 tracking data resolutions and (2) the similarity of foraging behaviour identification between track-based methods and an independent index of foraging success. We focused on methods that are commonly used in the literature: empirical descriptors of foraging effort, Hidden Markov Models (HMMs) and first passage time analysis. We applied these methods to satellite tracking data collected on 6 long-ranging elephant seals equipped with both Argos and GPS tags. Seals were also equipped with time depth recorder loggers from which we estimated an independent index, based on the drift rate and the changes in the seals' body condition, as a proxy for foraging success along the tracks. Favourable foraging zones identified by track-based methods were compared to locations where the body condition of the seals significantly increased. With or without an environmental covariate, HMMs were the most reliable for identifying successful foraging areas on both high (GPS) and low (Argos) resolution data. Areas identified by HMMs as intensively used were congruent with the locations where seals significantly increased their body condition given a 4 d metabolisation lag. |
author2 |
Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN) Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) Mathématiques Appliquées Paris 5 (MAP5 - UMR 8145) Université Paris Descartes - Paris 5 (UPD5)-Institut National des Sciences Mathématiques et de leurs Interactions - CNRS Mathématiques (INSMI-CNRS)-Centre National de la Recherche Scientifique (CNRS) Centre d'Études Biologiques de Chizé (CEBC) Institut National de la Recherche Agronomique (INRA)-Centre National de la Recherche Scientifique (CNRS) Biostatistique et Processus Spatiaux (BioSP) Institut National de la Recherche Agronomique (INRA) IPEV (Institut Polaire Francais); Total Foundation; TAAF (Terres Australes et Antarctiques Francaises) |
format |
Article in Journal/Newspaper |
author |
Dragon, Anne-Cécile Bar-Hen, Avner Monestiez, Pascal, P. Guinet, Christophe |
author_facet |
Dragon, Anne-Cécile Bar-Hen, Avner Monestiez, Pascal, P. Guinet, Christophe |
author_sort |
Dragon, Anne-Cécile |
title |
Comparative analysis of methods for inferring successful foraging areas from Argos and GPS tracking data |
title_short |
Comparative analysis of methods for inferring successful foraging areas from Argos and GPS tracking data |
title_full |
Comparative analysis of methods for inferring successful foraging areas from Argos and GPS tracking data |
title_fullStr |
Comparative analysis of methods for inferring successful foraging areas from Argos and GPS tracking data |
title_full_unstemmed |
Comparative analysis of methods for inferring successful foraging areas from Argos and GPS tracking data |
title_sort |
comparative analysis of methods for inferring successful foraging areas from argos and gps tracking data |
publisher |
HAL CCSD |
publishDate |
2012 |
url |
https://hal.science/hal-00700857 https://hal.science/hal-00700857/document https://hal.science/hal-00700857/file/m452p253.pdf https://doi.org/10.3354/meps09618 |
genre |
Elephant Seals |
genre_facet |
Elephant Seals |
op_source |
ISSN: 0171-8630 EISSN: 1616-1599 Marine Ecology Progress Series https://hal.science/hal-00700857 Marine Ecology Progress Series, 2012, 452, pp.253-267. ⟨10.3354/meps09618⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.3354/meps09618 hal-00700857 https://hal.science/hal-00700857 https://hal.science/hal-00700857/document https://hal.science/hal-00700857/file/m452p253.pdf doi:10.3354/meps09618 PRODINRA: 216359 WOS: 000303213900019 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.3354/meps09618 |
container_title |
Marine Ecology Progress Series |
container_volume |
452 |
container_start_page |
253 |
op_container_end_page |
267 |
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1799479316489175040 |
spelling |
ftunivparis:oai:HAL:hal-00700857v1 2024-05-19T07:39:44+00:00 Comparative analysis of methods for inferring successful foraging areas from Argos and GPS tracking data Dragon, Anne-Cécile Bar-Hen, Avner Monestiez, Pascal, P. Guinet, Christophe Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN) Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) Mathématiques Appliquées Paris 5 (MAP5 - UMR 8145) Université Paris Descartes - Paris 5 (UPD5)-Institut National des Sciences Mathématiques et de leurs Interactions - CNRS Mathématiques (INSMI-CNRS)-Centre National de la Recherche Scientifique (CNRS) Centre d'Études Biologiques de Chizé (CEBC) Institut National de la Recherche Agronomique (INRA)-Centre National de la Recherche Scientifique (CNRS) Biostatistique et Processus Spatiaux (BioSP) Institut National de la Recherche Agronomique (INRA) IPEV (Institut Polaire Francais); Total Foundation; TAAF (Terres Australes et Antarctiques Francaises) 2012 https://hal.science/hal-00700857 https://hal.science/hal-00700857/document https://hal.science/hal-00700857/file/m452p253.pdf https://doi.org/10.3354/meps09618 en eng HAL CCSD Inter Research info:eu-repo/semantics/altIdentifier/doi/10.3354/meps09618 hal-00700857 https://hal.science/hal-00700857 https://hal.science/hal-00700857/document https://hal.science/hal-00700857/file/m452p253.pdf doi:10.3354/meps09618 PRODINRA: 216359 WOS: 000303213900019 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 0171-8630 EISSN: 1616-1599 Marine Ecology Progress Series https://hal.science/hal-00700857 Marine Ecology Progress Series, 2012, 452, pp.253-267. ⟨10.3354/meps09618⟩ Area-restricted-search First bottom time Mirounga leonine Movement analysis State-space modelling [SDE]Environmental Sciences [SDU]Sciences of the Universe [physics] info:eu-repo/semantics/article Journal articles 2012 ftunivparis https://doi.org/10.3354/meps09618 2024-04-30T02:59:46Z International audience Identifying animals' successful foraging areas is a major challenge, but such comprehensive knowledge is needed for the management and conservation of wild populations. In recent decades, numerous specific analytic methods have been developed to handle tracking data and to identify preferred foraging areas. In this study, we assessed the efficiency of different track-based methods on Argos and GPS predators' tracks. We investigated (1) the consistency in the detection of foraging areas between track-based methods applied to 2 tracking data resolutions and (2) the similarity of foraging behaviour identification between track-based methods and an independent index of foraging success. We focused on methods that are commonly used in the literature: empirical descriptors of foraging effort, Hidden Markov Models (HMMs) and first passage time analysis. We applied these methods to satellite tracking data collected on 6 long-ranging elephant seals equipped with both Argos and GPS tags. Seals were also equipped with time depth recorder loggers from which we estimated an independent index, based on the drift rate and the changes in the seals' body condition, as a proxy for foraging success along the tracks. Favourable foraging zones identified by track-based methods were compared to locations where the body condition of the seals significantly increased. With or without an environmental covariate, HMMs were the most reliable for identifying successful foraging areas on both high (GPS) and low (Argos) resolution data. Areas identified by HMMs as intensively used were congruent with the locations where seals significantly increased their body condition given a 4 d metabolisation lag. Article in Journal/Newspaper Elephant Seals Université de Paris: Portail HAL Marine Ecology Progress Series 452 253 267 |