A unified capture-recapture framework |
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Authors: | Matthew R Schofield Richard J Barker |
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Institution: | (1) Department of Statistics, Columbia University, New York, NY, USA;(2) Department of Statistics, University of Kentucky, Lexington, KY 40506, USA;(3) Department of Mathematics and Statistics, University of Otago, P.O. Box 56, Dunedin, New Zealand |
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Abstract: | This article develops a hierarchical framework for capture-recapture data that separates the capture process from the demographic
processes of interest, such as birth and survival. This allows users to parameterize in terms of meaningful demographic parameters.
The framework is very flexible with many of the current capture-recapture models included as special cases. The hierarchical
nature of the model allows natural expression of relationships, both between parameters and between parameters and the realization
of random variables, such as population size. Previously, many of these relationships, such as density dependence have been
unable to be explored using capture-recapture data. Density dependence, where survival and birth rates depend on the population
size, is an interesting special case. We fit a density-dependent model to male Gonodontis bidentata data and report evidence of negative density dependence in percapita birth rates and weak evidence of negative density dependence
in survival. |
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Keywords: | |
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