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Gauging the Threat: The First Population Estimate for White Sharks in South Africa Using Photo Identification and Automated Software

South 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 Jan...

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Autores principales: Towner, Alison V., Wcisel, Michelle A., Reisinger, Ryan R., Edwards, David, Jewell, Oliver J. D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3680411/
https://www.ncbi.nlm.nih.gov/pubmed/23776600
http://dx.doi.org/10.1371/journal.pone.0066035
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author Towner, Alison V.
Wcisel, Michelle A.
Reisinger, Ryan R.
Edwards, David
Jewell, Oliver J. D.
author_facet Towner, Alison V.
Wcisel, Michelle A.
Reisinger, Ryan R.
Edwards, David
Jewell, Oliver J. D.
author_sort Towner, Alison V.
collection PubMed
description South 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 open-population 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.
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spelling pubmed-36804112013-06-17 Gauging the Threat: The First Population Estimate for White Sharks in South Africa Using Photo Identification and Automated Software Towner, Alison V. Wcisel, Michelle A. Reisinger, Ryan R. Edwards, David Jewell, Oliver J. D. PLoS One Research Article South 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 open-population 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. Public Library of Science 2013-06-12 /pmc/articles/PMC3680411/ /pubmed/23776600 http://dx.doi.org/10.1371/journal.pone.0066035 Text en © 2013 Towner et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Towner, Alison V.
Wcisel, Michelle A.
Reisinger, Ryan R.
Edwards, David
Jewell, Oliver J. D.
Gauging the Threat: The First Population Estimate for White Sharks in South Africa Using Photo Identification and Automated Software
title Gauging the Threat: The First Population Estimate for White Sharks in South Africa Using Photo Identification and Automated Software
title_full Gauging the Threat: The First Population Estimate for White Sharks in South Africa Using Photo Identification and Automated Software
title_fullStr Gauging the Threat: The First Population Estimate for White Sharks in South Africa Using Photo Identification and Automated Software
title_full_unstemmed Gauging the Threat: The First Population Estimate for White Sharks in South Africa Using Photo Identification and Automated Software
title_short Gauging the Threat: The First Population Estimate for White Sharks in South Africa Using Photo Identification and Automated Software
title_sort gauging the threat: the first population estimate for white sharks in south africa using photo identification and automated software
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3680411/
https://www.ncbi.nlm.nih.gov/pubmed/23776600
http://dx.doi.org/10.1371/journal.pone.0066035
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