Accuracy of using visual identification of white sharks to estimate residency patterns

dc.contributor.authorDelaney, David G.
dc.contributor.authorJohnson, Ryan Lloyd
dc.contributor.authorBester, Marthan Nieuwoudt
dc.contributor.authorGennari, Enrico
dc.contributor.editorStow, Adam
dc.date.accessioned2012-12-03T13:02:05Z
dc.date.available2012-12-03T13:02:05Z
dc.date.issued2012-04-13
dc.descriptionConceived and designed the experiments: RLJ DGD EG MNB. Performed the experiments: RLJ. Analyzed the data: EG RLJ DGD. Wrote the paper: DGD EG RLJ MNB.en_US
dc.description.abstractDetermining the residency of an aquatic species is important but challenging and it remains unclear what is the best sampling methodology. Photo-identification has been used extensively to estimate patterns of animals’ residency and is arguably the most common approach, but it may not be the most effective approach in marine environments. To examine this, in 2005, we deployed acoustic transmitters on 22 white sharks (Carcharodon carcharias) in Mossel Bay, South Africa to quantify the probability of detecting these tagged sharks by photo-identification and different deployment strategies of acoustic telemetry equipment. Using the data collected by the different sampling approaches (detections from an acoustic listening station deployed under a chumming vessel versus those from visual sightings and photo-identification), we quantified the methodologies’ probability of detection and determined if the sampling approaches, also including an acoustic telemetry array, produce comparable results for patterns of residency. Photo-identification had the lowest probability of detection and underestimated residency. The underestimation is driven by various factors primarily that acoustic telemetry monitors a large area and this reduces the occurrence of false negatives. Therefore, we propose that researchers need to use acoustic telemetry and also continue to develop new sampling approaches as photo-identification techniques are inadequate to determine residency. Using the methods presented in this paper will allow researchers to further refine sampling approaches that enable them to collect more accurate data that will result in better research and more informed management efforts and policy decisions.en_US
dc.description.sponsorshipWorld Wildlife Fund – South Africa, the South African Department of Environmental Affairs (and Tourism), and the International Fund for Animal Welfare.en_US
dc.description.urihttp://www.plosone.orgen_US
dc.identifier.citationDelaney DG, Johnson R, Bester MN, Gennari E (2012) Accuracy of Using Visual Identification of White Sharks to Estimate Residency Patterns. PLoS ONE 7(4): e34753. DOI:10.1371/journal.pone.0034753.en_US
dc.identifier.issn1932-6203
dc.identifier.other10.1371/journal.pone.0034753
dc.identifier.urihttp://hdl.handle.net/2263/20628
dc.language.isoenen_US
dc.publisherPublic Library of Scienceen_US
dc.rights© 2012 Delaney et al. This is an open-access article distributed under the terms of the Creative Commons Attribution Licenseen_US
dc.subjectSharksen_US
dc.subjectResidencyen_US
dc.subjectVisual Identificationen_US
dc.titleAccuracy of using visual identification of white sharks to estimate residency patternsen_US
dc.typeArticleen_US

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