State-space modelling of data on marked individuals

Olivier Gimenez, Vivien Rossi, Rémi Choquet, Camille Dehais, Blaise Doris, Hubert Varella, Jean-Pierre Vila and Roger Pradel

Ecological Modelling, 2007, vol. 206, issue 3, 431-438

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 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. Eventually, we discuss future developments that may be facilitated by the SSM formulation.

Keywords: Bayesian inference; Capture–recapture; Cormack–Jolly–Seber; MCMC methods; Multistate models; Ring-recovery models; Survival estimation; WinBUGS (search for similar items in EconPapers)
Date: 2007
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304380007001925
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:206:y:2007:i:3:p:431-438

DOI: 10.1016/j.ecolmodel.2007.03.040

Access Statistics for this article

Ecological Modelling is currently edited by Brian D. Fath

More articles in Ecological Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().