articleBiometricsOct 28, 2007Closed access

Spatially Explicit Maximum Likelihood Methods for Capture–Recapture Studies

University of St Andrews · University of Otago

PubMed
Indexed incrossrefpubmed

Abstract

Live-trapping capture-recapture studies of animal populations with fixed trap locations inevitably have a spatial component: animals close to traps are more likely to be caught than those far away. This is not addressed in conventional closed-population estimates of abundance and without the spatial component, rigorous estimates of density cannot be obtained. We propose new, flexible capture-recapture models that use the capture locations to estimate animal locations and spatially referenced capture probability. The models are likelihood-based and hence allow use of Akaike's information criterion or other likelihood-based methods of model selection. Density is an explicit parameter, and the evaluation of its…

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Authors

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Topics & keywords

Keywords
  • Mark and recapture
  • Akaike information criterion
  • Statistics
  • Estimator
  • Covariate
  • Abundance estimation
  • Model selection
  • Mathematics
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