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dc.contributor.authorBuckland, Stephen T.
dc.contributor.authorMarsden, Stuart J.
dc.contributor.authorGreen, Rhys E.
dc.identifier.citationBuckland , S T , Marsden , S J & Green , R E 2008 , ' Estimating bird abundance : making methods work ' , Bird Conservation International , vol. 18 , no. S1 , pp. S91-S108 .
dc.identifier.otherPURE: 601511
dc.identifier.otherPURE UUID: a5ddd5b1-994d-4e63-8b23-5785c8236d94
dc.identifier.otherWOS: 000259453100007
dc.identifier.otherScopus: 56649101942
dc.identifier.otherScopus: 84891824882
dc.identifier.otherORCID: /0000-0002-9939-709X/work/73701075
dc.description.abstractIn many bird monitoring Surveys, no attempt is made to estimate bird densities or abundance. instead, counts of one form or another are made, and these are assumed to correlate with bird density. Unless complete Counts Oil Sample plots are feasible, this approach can easily lead to false conclusions, because detectability of birds varies by species, habitat, observer and many other factors. Trends in time of counts often reflect trends in detectability, rather than trends in abundance. Conclusions are further compromised when surveys are conducted at unrepresentative sites. We consider how to avoid these problems. We give a brief description of distance sampling methods, which allow detectability to be estimated. We consider strategies to ease their implementation, to enhance their reliability, to adapt the methods for difficult species, and to deal with circumstances in which representative sampling is problematic. We also consider some of the common problems encountered, and suggest solutions.
dc.relation.ispartofBird Conservation Internationalen
dc.rightsCopyright © Birdlife International 2008. Published by Cambridge University Press, available from DOI: 10.1017/S0959270908000294en
dc.subjectDistance sampling surveysen
dc.subjectPoint-count surveysen
dc.subjectAtlantic foresten
dc.subjectQL Zoologyen
dc.subjectAnimal Science and Zoologyen
dc.subjectNature and Landscape Conservationen
dc.titleEstimating bird abundance : making methods worken
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Mathematics and Statisticsen
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.statusPeer revieweden

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