A general framework for modeling memory in capture—Recapture data

International audience In classical multisite capture-recapture (CR) models, the probability of moving to a new location depends only on the current site occupied. Yet, it is known that some species, such as Canada geese (Branta canadensis), have a strong tendency to return to sites visited earlier...

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Published in:Journal of Agricultural, Biological, and Environmental Statistics
Main Authors: Rouan, L., Choquet, R., Pradel, Roger
Other Authors: Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École Pratique des Hautes Études (EPHE), Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD France-Sud )-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2009
Subjects:
Online Access:https://hal.science/hal-02126332
https://doi.org/10.1198/jabes.2009.06108
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spelling ftunmontpellier3:oai:HAL:hal-02126332v1 2024-05-19T07:38:29+00:00 A general framework for modeling memory in capture—Recapture data Rouan, L. Choquet, R. Pradel, Roger Centre d’Ecologie Fonctionnelle et Evolutive (CEFE) Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École Pratique des Hautes Études (EPHE) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD France-Sud )-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro) 2009-09 https://hal.science/hal-02126332 https://doi.org/10.1198/jabes.2009.06108 en eng HAL CCSD Springer Verlag info:eu-repo/semantics/altIdentifier/doi/10.1198/jabes.2009.06108 hal-02126332 https://hal.science/hal-02126332 doi:10.1198/jabes.2009.06108 ISSN: 1085-7117 EISSN: 1537-2693 Journal of Agricultural, Biological, and Environmental Statistics https://hal.science/hal-02126332 Journal of Agricultural, Biological, and Environmental Statistics, 2009, 14 (3), pp.338-355. ⟨10.1198/jabes.2009.06108⟩ Canada geese (Branta canadensis) Hidden Markov model Hybrid symbolic-numeric method Memory model Multievent model Parameter redundancy Transients [SDE]Environmental Sciences [STAT]Statistics [stat] [STAT.AP]Statistics [stat]/Applications [stat.AP] info:eu-repo/semantics/article Journal articles 2009 ftunmontpellier3 https://doi.org/10.1198/jabes.2009.06108 2024-04-22T17:01:16Z International audience In classical multisite capture-recapture (CR) models, the probability of moving to a new location depends only on the current site occupied. Yet, it is known that some species, such as Canada geese (Branta canadensis), have a strong tendency to return to sites visited earlier during their life. To account for this "phenomenon of memory," several authors have considered CR models in which transition probabilities depend not only on the current location of the individuals but also on the sites previously visited. In this article, we clarify the differences between these previous "memory" models and provide a general framework for the study of memory using CR data. We illustrate this study with the reanalysis of the movements of Canada geese among three wintering sites. This article has supplementary material online. Article in Journal/Newspaper Branta canadensis HAL Portal Paul-Valéry University Montpellier 3 Journal of Agricultural, Biological, and Environmental Statistics 14 3 338 355
institution Open Polar
collection HAL Portal Paul-Valéry University Montpellier 3
op_collection_id ftunmontpellier3
language English
topic Canada geese (Branta canadensis)
Hidden Markov model
Hybrid symbolic-numeric method
Memory model
Multievent model
Parameter redundancy
Transients
[SDE]Environmental Sciences
[STAT]Statistics [stat]
[STAT.AP]Statistics [stat]/Applications [stat.AP]
spellingShingle Canada geese (Branta canadensis)
Hidden Markov model
Hybrid symbolic-numeric method
Memory model
Multievent model
Parameter redundancy
Transients
[SDE]Environmental Sciences
[STAT]Statistics [stat]
[STAT.AP]Statistics [stat]/Applications [stat.AP]
Rouan, L.
Choquet, R.
Pradel, Roger
A general framework for modeling memory in capture—Recapture data
topic_facet Canada geese (Branta canadensis)
Hidden Markov model
Hybrid symbolic-numeric method
Memory model
Multievent model
Parameter redundancy
Transients
[SDE]Environmental Sciences
[STAT]Statistics [stat]
[STAT.AP]Statistics [stat]/Applications [stat.AP]
description International audience In classical multisite capture-recapture (CR) models, the probability of moving to a new location depends only on the current site occupied. Yet, it is known that some species, such as Canada geese (Branta canadensis), have a strong tendency to return to sites visited earlier during their life. To account for this "phenomenon of memory," several authors have considered CR models in which transition probabilities depend not only on the current location of the individuals but also on the sites previously visited. In this article, we clarify the differences between these previous "memory" models and provide a general framework for the study of memory using CR data. We illustrate this study with the reanalysis of the movements of Canada geese among three wintering sites. This article has supplementary material online.
author2 Centre d’Ecologie Fonctionnelle et Evolutive (CEFE)
Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École Pratique des Hautes Études (EPHE)
Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD France-Sud )-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)
format Article in Journal/Newspaper
author Rouan, L.
Choquet, R.
Pradel, Roger
author_facet Rouan, L.
Choquet, R.
Pradel, Roger
author_sort Rouan, L.
title A general framework for modeling memory in capture—Recapture data
title_short A general framework for modeling memory in capture—Recapture data
title_full A general framework for modeling memory in capture—Recapture data
title_fullStr A general framework for modeling memory in capture—Recapture data
title_full_unstemmed A general framework for modeling memory in capture—Recapture data
title_sort general framework for modeling memory in capture—recapture data
publisher HAL CCSD
publishDate 2009
url https://hal.science/hal-02126332
https://doi.org/10.1198/jabes.2009.06108
genre Branta canadensis
genre_facet Branta canadensis
op_source ISSN: 1085-7117
EISSN: 1537-2693
Journal of Agricultural, Biological, and Environmental Statistics
https://hal.science/hal-02126332
Journal of Agricultural, Biological, and Environmental Statistics, 2009, 14 (3), pp.338-355. ⟨10.1198/jabes.2009.06108⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.1198/jabes.2009.06108
hal-02126332
https://hal.science/hal-02126332
doi:10.1198/jabes.2009.06108
op_doi https://doi.org/10.1198/jabes.2009.06108
container_title Journal of Agricultural, Biological, and Environmental Statistics
container_volume 14
container_issue 3
container_start_page 338
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