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dc.contributor.authorBuckland, Stephen Terrence
dc.contributor.authorPlumptre, A J
dc.contributor.authorThomas, Len
dc.contributor.authorRexstad, Eric A
dc.date.accessioned2011-07-22T10:30:15Z
dc.date.available2011-07-22T10:30:15Z
dc.date.issued2010-10
dc.identifier458845
dc.identifierd1767e90-fc19-4db4-b14c-aacf35229292
dc.identifier77957158223
dc.identifier.citationBuckland , S T , Plumptre , A J , Thomas , L & Rexstad , E A 2010 , ' Design and analysis of line transect surveys for primates ' , International Journal of Primatology , vol. 31 , no. 5 , pp. 833-847 . https://doi.org/10.1007/s10764-010-9431-5en
dc.identifier.issn0164-0291
dc.identifier.otherstandrews_research_output: 31420
dc.identifier.otherORCID: /0000-0002-7436-067X/work/29591714
dc.identifier.otherORCID: /0000-0002-4323-8161/work/29574871
dc.identifier.otherORCID: /0000-0002-9939-709X/work/73701095
dc.identifier.urihttps://hdl.handle.net/10023/1927
dc.descriptionAn erratum to this article can be found at http://dx.doi.org/10.1007/s10764-010-9470-yen
dc.description.abstractLine transect surveys are widely used for estimating abundance of primate populations. The method relies on a small number of key assumptions, and if these are not met, substantial bias may occur. For a variety of reasons, primate surveys often do not follow what is generally considered to be best practice, either in survey design or in analysis. The design often comprises too few lines (sometimes just one), subjectively placed or placed along trails, so lacks both randomization and adequate replication. Analysis often involves flawed or inefficient models, and often uses biased estimates of the locations of primate groups relative to the line. We outline the standard method, emphasizing the assumptions underlying the approach. We then consider options for when it is difficult or impossible to meet key assumptions. We explore the performance of these options by simulation, focusing particularly on the analysis of primate group sizes, where many of the variations in survey methods have been developed. We also discuss design issues, field methods, analysis, and potential alternative methodologies for when standard line transect sampling cannot deliver reliable abundance estimates.
dc.format.extent15
dc.format.extent108237
dc.language.isoeng
dc.relation.ispartofInternational Journal of Primatologyen
dc.subjectDistance samplingen
dc.subjectEstimating primate densityen
dc.subjectLine transect samplingen
dc.subjectPrimate surveyen
dc.subjectQA Mathematicsen
dc.subject.lccQAen
dc.titleDesign and analysis of line transect surveys for primatesen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews. Marine Alliance for Science & Technology Scotlanden
dc.identifier.doi10.1007/s10764-010-9431-5
dc.description.statusPeer revieweden
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=77957158223&partnerID=8YFLogxKen
dc.identifier.urlhttp://www.creem.st-and.ac.uk/len/papers/BucklandIJP2009b.pdfen


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