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dc.contributor.authorBorchers, D. L.
dc.contributor.authorStevenson, B.C.
dc.contributor.authorKidney, D.
dc.contributor.authorThomas, L.
dc.contributor.authorMarques, Tiago A.
dc.identifier.citationBorchers , D L , Stevenson , B C , Kidney , D , Thomas , L & Marques , T A 2015 , ' A unifying model for capture-recapture and distance sampling surveys of wildlife populations ' , Journal of the American Statistical Association , vol. 110 , no. 509 , pp. 195-204 .
dc.identifier.otherPURE: 26425844
dc.identifier.otherPURE UUID: 3191f1bf-994f-41b8-99f3-286e89f8f95a
dc.identifier.otherBibtex: urn:837ef4d7c81122961d635df1c28f70f2
dc.identifier.otherBibtex: urn:837ef4d7c81122961d635df1c28f70f2
dc.identifier.otherScopus: 84928232331
dc.identifier.otherORCID: /0000-0002-7436-067X/work/29591674
dc.identifier.otherORCID: /0000-0002-2581-1972/work/56861269
dc.identifier.otherWOS: 000353474200016
dc.descriptionFunding: Part-funded by Fundacao Nacional para a Cienca e Technologia, Portugal (FCT) under the project PEst OE/MAT/UI0006/2011 (Marques) and the UK Engineering and Physical Sciences Research Council EP/I000917/1en
dc.description.abstractSpatially explicit capture-recapture (SECR) methods extend traditional capture-recapture methods for estimating population density by using information contained in the location of traps. The The central feature of the improvement is estimation from the locations of traps at which animals were and were not captured to estimate of the distance over which animals are susceptible to capture. We show that standard SECR models are a special case of a more general class of model in which animal detection is not certain, but some information is available about the location of detected animals. The model class accommodates a range of spatial data types and includes as a special case mark-recapture distance sampling, where distances to detected animals are recorded by multiple observers. Other examples of additional information that can be included are bearing to detected animals, strength of acoustic signals received from detected animals, and time of arrival of acoustic signals at detectors. Errors in variables are easily incorporated. We illustrate the versatility of the model and method through a number of applications, in each case using real and simulated data, and comparing our results with those from previous studies where these are available.
dc.relation.ispartofJournal of the American Statistical Associationen
dc.rightsCopyright © David Borchers, Ben Stevenson, Darren Kidney, Len Thomas, Tiago Marques. This is an Open Access article distributed under the terms of the Creative Commons Attribution-Non-Commercial License (, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The moral rights of the named author(s) have been asserted.en
dc.subjectAbundance estimationen
dc.subjectAcoustic surveyen
dc.subjectClosed populationen
dc.subjectMeasurement erroren
dc.subjectVisual surveyen
dc.subjectQA Mathematicsen
dc.subjectGE Environmental Sciencesen
dc.titleA unifying model for capture-recapture and distance sampling surveys of wildlife populationsen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
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.Centre for Research into Ecological & Environmental Modellingen
dc.contributor.institutionUniversity of St Andrews.Statisticsen
dc.description.statusPeer revieweden

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