Modelling spatially autocorrelated detection probabilities in spatial capture-recapture using random effects

Soumen Dey, Ehsan Moqanaki, Cyril Milleret, Pierre Dupont, Mahdieh Tourani and Richard Bischof

Ecological Modelling, 2023, vol. 479, issue C

Abstract: Spatial capture-recapture (SCR) models are now widely used for estimating density from repeated individual spatial encounters. SCR accounts for the inherent spatial autocorrelation in individual detections by modelling detection probabilities as a function of distance between the detectors and individual activity centres. However, additional spatial heterogeneity in detection probability may still creep in due to environmental or sampling characteristics. if unaccounted for, such variation can lead to pronounced bias in population size estimates.

Keywords: Spatial capture-recapture; Detection probability; Spatial autocorrelation; Generalized linear mixed model; Random effects; Finite mixture model; Population size estimation (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:479:y:2023:i:c:s0304380023000522

DOI: 10.1016/j.ecolmodel.2023.110324

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