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dc.contributor.authorMcHenry, Ewan
dc.contributor.authorO’Reilly, Catherine
dc.contributor.authorSheerin, Edel
dc.contributor.authorKortland, Kenny
dc.contributor.authorLambin, Xavier
dc.date.accessioned2016-09-23T12:00:03Z
dc.date.available2016-09-23T12:00:03Z
dc.date.issued2016-09
dc.identifier63850939
dc.identifier3ac374bf-0c6e-4ee5-87fd-3f89ce682b7d
dc.identifier84984670535
dc.identifier.citationMcHenry , E , O’Reilly , C , Sheerin , E , Kortland , K & Lambin , X 2016 , ' Strong inference from transect sign surveys : combining spatial autocorrelation and misclassification occupancy models to quantify the detectability of a recovering carnivore ' , Wildlife Biology , vol. 22 , no. 5 , pp. 209-216 . https://doi.org/10.2981/wlb.00146en
dc.identifier.issn0909-6396
dc.identifier.otherORCID: /0000-0003-4643-2653/work/95222512
dc.identifier.urihttp://hdl.handle.net/2164/7509
dc.descriptionAcknowledgements We are very grateful for the input provided by Elizabeth Croose, Declan O'Mahony and Denise O'Meara on pine marten survey methodology and related constraints, which we hope this paper will go some way toward relieving. Christopher Sutherland was incredibly helpful in discussion of occupancy modelling techniques. We would also like to thank Thys Simpson, Colin McClean and Shaila Rao for arranging access to private estates for surveying. Funding — Forest Enterprise Scotland and the University of Aberdeen provided funding for the project. The Carnegie Trust supported the lead author, E. McHenry, in this research through the award of a tuition fees bursary.en
dc.format.extent8
dc.format.extent347148
dc.language.isoeng
dc.relation.ispartofWildlife Biologyen
dc.subjectQH301 Biologyen
dc.subject.lccQH301en
dc.titleStrong inference from transect sign surveys : combining spatial autocorrelation and misclassification occupancy models to quantify the detectability of a recovering carnivoreen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Biological Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Biological Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Environment and Food Securityen
dc.description.statusPeer revieweden
dc.identifier.doi10.2981/wlb.00146


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