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Recommendations for photo-identification methods used in capture-recapture models with cetaceans
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dc.contributor.author | Urian, Kim | |
dc.contributor.author | Gorgone, A | |
dc.contributor.author | Read, Andrew J | |
dc.contributor.author | Balmer, Brian | |
dc.contributor.author | Wells, Randall S | |
dc.contributor.author | Berggren, Per | |
dc.contributor.author | Durban, John W | |
dc.contributor.author | Eguchi, Tomo | |
dc.contributor.author | Rayment, Will | |
dc.contributor.author | Hammond, Philip Steven | |
dc.date.accessioned | 2015-06-10T13:40:02Z | |
dc.date.available | 2015-06-10T13:40:02Z | |
dc.date.issued | 2015-01 | |
dc.identifier | 104325762 | |
dc.identifier | 3b01f7d6-8a15-450d-8479-0166acdc717a | |
dc.identifier | 84919847996 | |
dc.identifier | 000346769200016 | |
dc.identifier.citation | Urian , 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 . https://doi.org/10.1111/mms.12141 | en |
dc.identifier.issn | 0824-0469 | |
dc.identifier.other | ORCID: /0000-0002-2381-8302/work/47531638 | |
dc.identifier.uri | https://hdl.handle.net/10023/6796 | |
dc.description.abstract | Capture-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.format.extent | 24 | |
dc.format.extent | 538306 | |
dc.language.iso | eng | |
dc.relation.ispartof | Marine Mammal Science | en |
dc.subject | Capture-recapture | en |
dc.subject | Mark-recapture | en |
dc.subject | Photo-identification | en |
dc.subject | Abundance | en |
dc.subject | Population size estimates | en |
dc.subject | QH301 Biology | en |
dc.subject | 3rd-DAS | en |
dc.subject.lcc | QH301 | en |
dc.title | Recommendations for photo-identification methods used in capture-recapture models with cetaceans | en |
dc.type | Journal article | en |
dc.contributor.institution | University of St Andrews. School of Biology | en |
dc.contributor.institution | University of St Andrews. Sea Mammal Research Unit | en |
dc.contributor.institution | University of St Andrews. Marine Alliance for Science & Technology Scotland | en |
dc.contributor.institution | University of St Andrews. Scottish Oceans Institute | en |
dc.contributor.institution | University of St Andrews. Centre for Research into Ecological & Environmental Modelling | en |
dc.identifier.doi | https://doi.org/10.1111/mms.12141 | |
dc.description.status | Peer reviewed | en |
dc.identifier.url | http://onlinelibrary.wiley.com/doi/10.1111/mms.12141/suppinfo | en |
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