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The ecological connectivity of whale shark aggregations in the Indian Ocean: a photo-identification approach
Genetic and modelling studies suggest that seasonal aggregations of whale sharks (Rhincodon typus) at coastal sites in the tropics may be linked by migration. Here, we used photo-identification (photo-ID) data collected by both citizen scientists and researchers to assess the connectedness of five w...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5180127/ https://www.ncbi.nlm.nih.gov/pubmed/28018629 http://dx.doi.org/10.1098/rsos.160455 |
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author | Andrzejaczek, Samantha Meeuwig, Jessica Rowat, David Pierce, Simon Davies, Tim Fisher, Rebecca Meekan, Mark |
author_facet | Andrzejaczek, Samantha Meeuwig, Jessica Rowat, David Pierce, Simon Davies, Tim Fisher, Rebecca Meekan, Mark |
author_sort | Andrzejaczek, Samantha |
collection | PubMed |
description | Genetic and modelling studies suggest that seasonal aggregations of whale sharks (Rhincodon typus) at coastal sites in the tropics may be linked by migration. Here, we used photo-identification (photo-ID) data collected by both citizen scientists and researchers to assess the connectedness of five whale shark aggregation sites across the entire Indian Ocean at timescales of up to a decade. We used the semi-automated program I(3)S (Individual Interactive Identification System) to compare photographs of the unique natural marking patterns of individual whale sharks collected from aggregations at Mozambique, the Seychelles, the Maldives, Christmas Island (Australia) and Ningaloo Reef (Australia). From a total of 6519 photos, we found no evidence of connectivity of whale shark aggregations at ocean-basin scales within the time frame of the study and evidence for only limited connectivity at regional (hundreds to thousands of kilometres) scales. A male whale shark photographed in January 2010 at Mozambique was resighted eight months later in the Seychelles and was the only one of 1724 individuals in the database to be photographed at more than one site. On average, 35% of individuals were resighted at the same site in more than one year. A Monte Carlo simulation study showed that the power of this photo-ID approach to document patterns of emigration and immigration was strongly dependent on both the number of individuals identified in aggregations and the size of resident populations. |
format | Online Article Text |
id | pubmed-5180127 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-51801272016-12-23 The ecological connectivity of whale shark aggregations in the Indian Ocean: a photo-identification approach Andrzejaczek, Samantha Meeuwig, Jessica Rowat, David Pierce, Simon Davies, Tim Fisher, Rebecca Meekan, Mark R Soc Open Sci Biology (Whole Organism) Genetic and modelling studies suggest that seasonal aggregations of whale sharks (Rhincodon typus) at coastal sites in the tropics may be linked by migration. Here, we used photo-identification (photo-ID) data collected by both citizen scientists and researchers to assess the connectedness of five whale shark aggregation sites across the entire Indian Ocean at timescales of up to a decade. We used the semi-automated program I(3)S (Individual Interactive Identification System) to compare photographs of the unique natural marking patterns of individual whale sharks collected from aggregations at Mozambique, the Seychelles, the Maldives, Christmas Island (Australia) and Ningaloo Reef (Australia). From a total of 6519 photos, we found no evidence of connectivity of whale shark aggregations at ocean-basin scales within the time frame of the study and evidence for only limited connectivity at regional (hundreds to thousands of kilometres) scales. A male whale shark photographed in January 2010 at Mozambique was resighted eight months later in the Seychelles and was the only one of 1724 individuals in the database to be photographed at more than one site. On average, 35% of individuals were resighted at the same site in more than one year. A Monte Carlo simulation study showed that the power of this photo-ID approach to document patterns of emigration and immigration was strongly dependent on both the number of individuals identified in aggregations and the size of resident populations. The Royal Society 2016-11-16 /pmc/articles/PMC5180127/ /pubmed/28018629 http://dx.doi.org/10.1098/rsos.160455 Text en © 2016 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Biology (Whole Organism) Andrzejaczek, Samantha Meeuwig, Jessica Rowat, David Pierce, Simon Davies, Tim Fisher, Rebecca Meekan, Mark The ecological connectivity of whale shark aggregations in the Indian Ocean: a photo-identification approach |
title | The ecological connectivity of whale shark aggregations in the Indian Ocean: a photo-identification approach |
title_full | The ecological connectivity of whale shark aggregations in the Indian Ocean: a photo-identification approach |
title_fullStr | The ecological connectivity of whale shark aggregations in the Indian Ocean: a photo-identification approach |
title_full_unstemmed | The ecological connectivity of whale shark aggregations in the Indian Ocean: a photo-identification approach |
title_short | The ecological connectivity of whale shark aggregations in the Indian Ocean: a photo-identification approach |
title_sort | ecological connectivity of whale shark aggregations in the indian ocean: a photo-identification approach |
topic | Biology (Whole Organism) |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5180127/ https://www.ncbi.nlm.nih.gov/pubmed/28018629 http://dx.doi.org/10.1098/rsos.160455 |
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