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dc.contributor.authorCaillat, Marjolaine Annie
dc.contributor.authorThomas, Len
dc.contributor.authorGillespie, Douglas Michael
dc.date.accessioned2014-08-14T16:01:01Z
dc.date.available2014-08-14T16:01:01Z
dc.date.issued2013-12-25
dc.identifier.citationCaillat , M A , Thomas , L & Gillespie , D M 2013 , ' The effects of acoustic misclassification on cetacean species abundance estimation ' Journal of the Acoustical Society of America , vol. 134 , no. 3 , pp. 2469–2476 . https://doi.org/10.1121/1.4816569en
dc.identifier.issn0001-4966
dc.identifier.otherPURE: 50918198
dc.identifier.otherPURE UUID: 8819af3f-9c5a-4150-813d-7b50a7394bae
dc.identifier.otherScopus: 84883331064
dc.identifier.otherORCID: /0000-0002-7436-067X/work/29591686
dc.identifier.otherORCID: /0000-0001-9628-157X/work/60427061
dc.identifier.urihttp://hdl.handle.net/10023/5163
dc.descriptionThis work was funded through the Natural Environment Research Council and SMRU Ltd.en
dc.description.abstractTo estimate the density or abundance of a cetacean species using acoustic detection data, it is necessary to correctly identify the species that are detected. Developing an automated species classifier with 100% correct classification rate for any species is likely to stay out of reach. It is therefore necessary to consider the effect of misidentified detections on the number of observed data and consequently on abundance or density estimation, and develop methods to cope with these misidentifications. If misclassification rates are known, it is possible to estimate the true numbers of detected calls without bias. However, misclassification and uncertainties in the level of misclassification increase the variance of the estimates. If the true numbers of calls from different species are similar, then a small amount of misclassification between species and a small amount of uncertainty around the classification probabilities does not have an overly detrimental effect on the overall variance. However, if there is a difference in the encounter rate between species calls and/or a large amount of uncertainty in misclassification rates, then the variance of the estimates becomes very large and this dramatically increases the variance of the final abundance estimate.
dc.format.extent8
dc.language.isoeng
dc.relation.ispartofJournal of the Acoustical Society of Americaen
dc.rights© 2013 Acoustical Society of America.en
dc.subjectQH301 Biologyen
dc.subject.lccQH301en
dc.titleThe effects of acoustic misclassification on cetacean species abundance estimationen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.Statisticsen
dc.contributor.institutionUniversity of St Andrews.Marine Alliance for Science & Technology Scotlanden
dc.contributor.institutionUniversity of St Andrews.Centre for Research into Ecological & Environmental Modellingen
dc.contributor.institutionUniversity of St Andrews.School of Biologyen
dc.contributor.institutionUniversity of St Andrews.Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews.Sound Tags Groupen
dc.contributor.institutionUniversity of St Andrews.Bioacoustics groupen
dc.contributor.institutionUniversity of St Andrews.Sea Mammal Research Uniten
dc.identifier.doihttps://doi.org/10.1121/1.4816569
dc.description.statusPeer revieweden


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