Gauging the threat : the first population estimate for white sharks in South Africa using photo identification and automated software

dc.contributor.authorTowner, Alison V.
dc.contributor.authorWcisel, Michelle A.
dc.contributor.authorReisinger, Ryan Rudolf
dc.contributor.authorEdwards, David
dc.contributor.authorJewell, Oliver Joseph David
dc.contributor.editorDanilo, Russo
dc.date.accessioned2013-10-04T07:46:57Z
dc.date.available2013-10-04T07:46:57Z
dc.date.issued2013-06-12
dc.description.abstractSouth Africa is reputed to host the world’s largest remaining population of white sharks, yet no studies have accurately determined a population estimate based on mark-recapture of live individuals. We used dorsal fin photographs (fin IDs) to identify white sharks in Gansbaai, South Africa, from January 2007 – December 2011. We used the computer programme DARWIN to catalogue and match fin IDs of individuals; this is the first study to successfully use the software for white shark identification. The programme performed well despite a number of individual fins showing drastic changes in dorsal fin shape over time. Of 1682 fin IDs used, 532 unique individuals were identified. We estimated population size using the openpopulation POPAN parameterisation in Program MARK, which estimated the superpopulation size at 908 (95% confidence interval 808–1008). This estimated population size is considerably larger than those described at other aggregation areas of the species and is comparable to a previous South African population estimate conducted 16 years prior. Our assessment suggests the species has not made a marked recovery since being nationally protected in 1991. As such, additional international protection may prove vital for the long-term conservation of this threatened species.en_US
dc.description.librarianam2013en_US
dc.description.sponsorshipMarine Dynamics Shark Tours (www.sharkwatchsa.com) and the Dyer Island Conservation Trust (www.dict.org.za)en_US
dc.description.urihttp://www.plosone.orgen_US
dc.identifier.citationTowner AV, Wcisel MA, Reisinger RR, Edwards D, Jewell OJD (2013) Gauging the Threat: The First Population Estimate for White Sharks in South Africa Using Photo Identification and Automated Software. PLoS ONE 8(6): e66035. DOI: 10.1371/journal.pone.0066035en_US
dc.identifier.issn1932-6203
dc.identifier.other10.1371/journal.pone.0066035
dc.identifier.urihttp://hdl.handle.net/2263/31906
dc.language.isoenen_US
dc.publisherPublic Library of Scienceen_US
dc.rights© 2013 Towner et al. This is an open-access article distributed under the terms of the Creative Commons Attribution Licenseen_US
dc.subjectDorsal fin photographs (fin IDs)en_US
dc.subjectWhite sharksen_US
dc.subjectPhoto identificationen_US
dc.subjectGansbaai, South Africaen_US
dc.titleGauging the threat : the first population estimate for white sharks in South Africa using photo identification and automated softwareen_US
dc.typeArticleen_US

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