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dc.contributor.authorUrian, Kim
dc.contributor.authorGorgone, A
dc.contributor.authorRead, Andrew J
dc.contributor.authorBalmer, Brian
dc.contributor.authorWells, Randall S
dc.contributor.authorBerggren, Per
dc.contributor.authorDurban, John W
dc.contributor.authorEguchi, Tomo
dc.contributor.authorRayment, Will
dc.contributor.authorHammond, Philip Steven
dc.identifier.citationUrian , K , Gorgone , A , Read , A J , Balmer , B , Wells , R S , Berggren , P , Durban , J W , Eguchi , T , Rayment , W & Hammond , P S 2015 , ' Recommendations for photo-identification methods used in capture-recapture models with cetaceans ' , Marine Mammal Science , vol. 31 , no. 1 , pp. 298–321 .
dc.identifier.otherORCID: /0000-0002-2381-8302/work/47531638
dc.description.abstractCapture-recapture methods are frequently employed to estimate abundance of cetaceans using photographic techniques and a variety of statistical models. However, there are many unresolved issues regarding the selection and manipulation of images that can potentially impose bias on resulting estimates. To examine the potential impact of these issues we circulated a test data set of dorsal fin images from bottlenose dolphins to several independent research groups. Photo-identification methods were generally similar, but the selection, scoring, and matching of images varied greatly amongst groups. Based on these results we make the following recommendations. Researchers should: (1) determine the degree of marking, or level of distinctiveness, and use images of sufficient quality to recognize animals of that level of distinctiveness; (2) ensure that markings are sufficiently distinct to eliminate the potential for “twins” to occur; (3) stratify data sets by distinctiveness and generate a series of abundance estimates to investigate the influence of including animals of varying degrees of markings; and (4) strive to examine and incorporate variability among analysts into capture-recapture estimation. In this paper we summarize these potential sources of bias and provide recommendations for best practices for using natural markings in a capture-recapture framework.
dc.relation.ispartofMarine Mammal Scienceen
dc.subjectPopulation size estimatesen
dc.subjectQH301 Biologyen
dc.titleRecommendations for photo-identification methods used in capture-recapture models with cetaceansen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Sea Mammal Research Uniten
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.description.statusPeer revieweden

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