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Bayes and empirical Bayes estimators of abundance and density from spatial capture-recapture data

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Bayes and empirical Bayes estimators of abundance and density from spatial capture-recapture data; 2013; Article; Journal; PLoS ONE; Dorazio, Robert M.

Summary

In capture-recapture and mark-resight surveys, movements of individuals both within and between sampling periods can alter the susceptibility of individuals to detection over the region of sampling. In these circumstances spatially explicit capture-recapture (SECR) models, which incorporate the observed locations of individuals, allow population density and abundance to be estimated while accounting for differences in detectability of individuals. In this paper I propose two Bayesian SECR models, one for the analysis of recaptures observed in trapping arrays and another for the analysis of recaptures observed in area searches. In formulating these models I used distinct submodels to specify the distribution of individual home-range [...]

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Author :
Robert M. Dorazio
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PLoS ONE

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Type Scheme Key
local-index unknown 70073512
local-pk unknown 70073512
doi http://www.loc.gov/standards/mods/mods-outline-3-5.html#identifier doi:10.1371/journal.pone.0084017
series unknown PLoS ONE

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citationTypeArticle
journalPLoS ONE
languageEnglish
parts
typevolume
value8
typeissue
value12

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