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dc.contributor.authorGlennie, Richard
dc.contributor.authorBuckland, Stephen Terrence
dc.contributor.authorLangrock, Roland
dc.contributor.authorGerrodette, Tim
dc.contributor.authorBallance, Lisa
dc.contributor.authorChivers, Susan
dc.contributor.authorScott, Michael
dc.contributor.authorPerrin, William
dc.date.accessioned2017-09-29T10:32:46Z
dc.date.available2017-09-29T10:32:46Z
dc.date.issued2017-09-08
dc.identifier.citationGlennie , R , Buckland , S T , Langrock , R , Gerrodette , T , Ballance , L , Chivers , S , Scott , M & Perrin , W 2017 , ' Incorporating animal movement into distance sampling ' Journal of the American Statistical Association .en
dc.identifier.issn0162-1459
dc.identifier.otherPURE: 251041173
dc.identifier.otherPURE UUID: a90fbe19-9087-4e78-ace9-4256ff1131e5
dc.identifier.urihttp://hdl.handle.net/10023/11757
dc.description.abstractDistance sampling is a popular statistical method to estimate the density of wild animal populations. Conventional distance sampling represents animals as fixed points in space that are detected with an unknown probability that depends on the distance between the observer and the animal. Animal movement, responsive or non-responsive to the observer, can cause substantial bias in density estimation. Methods to correct for responsive animal movement exist, but none account for non-responsive movement independent of the observer. Here, an explicit animal movement model is incorporated into distance sampling, combining distance sampling survey data with independently obtained animal telemetry data.A detection probability that depends on the entire unobserved path the animal travels is derived in continuous space-time. The intractable integration overall possible animal paths is approximated by a hidden Markov model. A simulation study shows the method to be negligibly biased (less than 5%) in scenarios where conventional distance sampling overestimates abundance by up to 100%.The method is applied to a line transect survey of spotted dolphins (Stenella attenuata attenuata) in the eastern tropical Pacific.
dc.format.extent9
dc.language.isoeng
dc.relation.ispartofJournal of the American Statistical Associationen
dc.rightsCopyright 2017 the Author(s). This paper is currently (27 September 2017) under peer-review at a journal. Please check with the authors for a later version before citing.en
dc.subjectAbundanceen
dc.subjectDistance samplingen
dc.subjectAnimal movementen
dc.subjectQA Mathematicsen
dc.subjectQH301 Biologyen
dc.subjectIen
dc.subject.lccQAen
dc.subject.lccQH301en
dc.titleIncorporating animal movement into distance samplingen
dc.typeJournal articleen
dc.description.versionPreprinten
dc.contributor.institutionUniversity of St Andrews.School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews.Marine Alliance for Science & Technology Scotlanden
dc.contributor.institutionUniversity of St Andrews.Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews.St Andrews Sustainability Instituteen
dc.contributor.institutionUniversity of St Andrews.Centre for Research into Ecological & Environmental Modellingen
dc.description.statusNon peer revieweden


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