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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Bibliographic Details
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:
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]
Canada
Branta canadensis
Online Access:https://hal.science/hal-02126332
https://doi.org/10.1198/jabes.2009.06108
Description
Summary: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.

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