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STATE-SPACE MODELLING OF DATA ON MARKED INDIVIDUALS

Abstract : State-space models have recently been proposed as a convenient and flexible framework for specifying stochastic models for the dynamics of wild animal populations. Here we focus on the modelling of data on marked individuals which is * Manuscript frequently used in order to estimate demographic parameters while accounting for imperfect detectability. We show how usual models to deal with capture-recapture and ring-recovery data can be fruitfully written as state-space models. An illustration is given using real data and a Bayesian approach using MCMC methods is implemented to estimate the parameters. We give important future developments facilitated by the SSM formulation. Overall, the general state-space modelling framework is shown to have a great potential in population ecology modelling.
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https://hal.archives-ouvertes.fr/hal-03515273
Contributor : Olivier Gimenez Connect in order to contact the contributor
Submitted on : Thursday, January 6, 2022 - 4:14:14 PM
Last modification on : Friday, May 20, 2022 - 9:04:16 AM
Long-term archiving on: : Thursday, April 7, 2022 - 7:44:23 PM

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Olivier Gimenez, Vivien Rossi, Rémi Choquet, Camille Dehais, Blaise Doris, et al.. STATE-SPACE MODELLING OF DATA ON MARKED INDIVIDUALS. Ecological Modelling, Elsevier, 2007, 206 (3-4), pp.431-438. ⟨10.1016/j.ecolmodel.2007.03.040⟩. ⟨hal-03515273⟩

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