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Distance sampling with camera traps

Research output: Contribution to journalArticle

Abstract

1.  Reliable estimates of animal density and abundance are essential for effective wildlife conservation and management. Camera trapping has proven efficient for sampling multiple species, but statistical estimators of density from camera trapping data for species that cannot be individually identified are still in development.
2.  We extend point-transect methods for estimating animal density to accommodate data from camera traps, allowing researchers to exploit existing distance sampling theory and software for designing studies and analyzing data. We tested it by simulation, and used it to estimate densities of Maxwell’s duikers (Philantomba maxwellii) in Taï National Park, Côte d’Ivoire.
3.  Densities estimated from simulated data were unbiased when we assumed animals were not available for detection during long periods of rest. Estimated duiker densities were higher than recent estimates from line transect surveys, which are believed to underestimate densities of forest ungulates.
4.  We expect these methods to provide an effective means to estimate animal density from camera trapping data and to be applicable in a variety of settings.
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Details

Original languageEnglish
Pages (from-to)1558-1565
JournalMethods in Ecology and Evolution
Volume8
Issue number11
Early online date10 May 2017
DOIs
Publication statusPublished - Nov 2017

    Research areas

  • Animal abundance, Camera trapping, Density, Distance sampling, Maxwell's duiker

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