How does spatial study design influence density estimates from spatial capture-recapture models?
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ABSTRACT: When estimating population density from data collected on non-invasive detector arrays, recently developed spatial capture-recapture (SCR) models present an advance over non-spatial models by accounting for individual movement. While these models should be more robust to changes in trapping designs, they have not been well tested. Here we investigate how the spatial arrangement and size of the trapping array influence parameter estimates for SCR models. We analysed black bear data collected with 123 hair snares with an SCR model accounting for differences in detection and movement between sexes and across the trapping occasions. To see how the size of the trap array and trap dispersion influence parameter estimates, we repeated analysis for data from subsets of traps: 50% chosen at random,
SUBMITTER: Sollmann R
PROVIDER: S-EPMC3335117 | biostudies-literature | 2012
REPOSITORIES: biostudies-literature
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