A Bayesian approach to combining animal abundance and demographic data

Morgan, Byron J. T. and Brooks, Stephen P. and King, Ruth (2004) A Bayesian approach to combining animal abundance and demographic data. Animal Biodiversity and Conservation, 27 (1). pp. 515-529. ISSN 1578665X. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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In studies of wild animals, one frequently encounters both count and mark-recapture-recovery data. Here, we consider an integrated Bayesian analysis of ring¿recovery and count data using a state-space model. We then impose a Leslie-matrix-based model on the true population counts describing the natural birth-death and age transition processes. We focus upon the analysis of both count and recovery data collected on British lapwings (Vanellus vanellus) combined with records of the number of frost days each winter. We demonstrate how the combined analysis of these data provides a more robust inferential framework and discuss how the Bayesian approach using MCMC allows us to remove the potentially restrictive normality assumptions commonly assumed for analyses of this sort. It is shown how WinBUGS may be used to perform the Bayesian analysis. WinBUGS code is provided and its performance is critically discussed.

Item Type: Article
Uncontrolled keywords: Census data ; Integrated analysis ; Kalman filter ; Logistic regression ; Ring-recovery data ; State-space model ; WinBUGS
Subjects: Q Science > QA Mathematics (inc Computing science)
Divisions: Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science > Statistics
Depositing User: Judith Broom
Date Deposited: 26 Sep 2008 14:25
Last Modified: 28 May 2014 08:46
Resource URI: https://kar.kent.ac.uk/id/eprint/10516 (The current URI for this page, for reference purposes)
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