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Distance sampling with camera traps
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dc.contributor.author | Howe, Eric J. | |
dc.contributor.author | Buckland, Stephen T. | |
dc.contributor.author | Després-Einspenner, Marie-Lyne | |
dc.contributor.author | Kühl, Hjalmar | |
dc.date.accessioned | 2018-05-10T23:33:00Z | |
dc.date.available | 2018-05-10T23:33:00Z | |
dc.date.issued | 2017-11 | |
dc.identifier.citation | Howe , E J , Buckland , S T , Després-Einspenner , M-L & Kühl , H 2017 , ' Distance sampling with camera traps ' , Methods in Ecology and Evolution , vol. 8 , no. 11 , pp. 1558-1565 . https://doi.org/10.1111/2041-210X.12790 | en |
dc.identifier.issn | 2041-210X | |
dc.identifier.other | PURE: 249396230 | |
dc.identifier.other | PURE UUID: 3908ba6f-6b96-480d-a5e7-9bb1c64b1179 | |
dc.identifier.other | Scopus: 85019123854 | |
dc.identifier.other | WOS: 000414701900019 | |
dc.identifier.other | ORCID: /0000-0002-9939-709X/work/73701024 | |
dc.identifier.uri | https://hdl.handle.net/10023/13328 | |
dc.description | We thank the Robert Bosch Foundation, the Max Planck Society, and the University of St Andrews for funding. The data files from which densities of Maxwell's duikers were estimated using Distance software, and data describing start times of videos of Maxwell's duikers, have been archived at the Dryad data repository (https://doi.org/10.5061/dryad.b4c70) (Howe et al. 2017). | en |
dc.description.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. | |
dc.language.iso | eng | |
dc.relation.ispartof | Methods in Ecology and Evolution | en |
dc.rights | © 2017, The Authors. Methods in Ecology and Evolution © 2017 British Ecological Society. This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at onlinelibrary.wiley.com / https://doi.org/10.1111/2041-210X.12790 | en |
dc.subject | Animal abundance | en |
dc.subject | Camera trapping | en |
dc.subject | Density | en |
dc.subject | Distance sampling | en |
dc.subject | Maxwell's duiker | en |
dc.subject | GE Environmental Sciences | en |
dc.subject | QA Mathematics | en |
dc.subject | QH301 Biology | en |
dc.subject | DAS | en |
dc.subject.lcc | GE | en |
dc.subject.lcc | QA | en |
dc.subject.lcc | QH301 | en |
dc.title | Distance sampling with camera traps | en |
dc.type | Journal article | en |
dc.description.version | Postprint | en |
dc.contributor.institution | University of St Andrews. School of Mathematics and Statistics | en |
dc.contributor.institution | University of St Andrews. Centre for Research into Ecological & Environmental Modelling | en |
dc.contributor.institution | University of St Andrews. Marine Alliance for Science & Technology Scotland | en |
dc.contributor.institution | University of St Andrews. Scottish Oceans Institute | en |
dc.contributor.institution | University of St Andrews. St Andrews Sustainability Institute | en |
dc.identifier.doi | https://doi.org/10.1111/2041-210X.12790 | |
dc.description.status | Peer reviewed | en |
dc.date.embargoedUntil | 2018-05-10 | |
dc.identifier.url | http://onlinelibrary.wiley.com/doi/10.1111/2041-210X.12790/full#footer-support-info | en |
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