Photographic identification of sea turtles: method description and validation, with an estimation of tag loss
Autor(a) principal: | |
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Data de Publicação: | 2008 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da FURG (RI FURG) |
Texto Completo: | http://repositorio.furg.br/handle/1/917 |
Resumo: | Recognition of individual sea turtles is mostly achieved by checking artificial tags previously attached to them, a method which is made difficult by the considerable tag loss rate and which requires repeated manipulation of the marked individuals. We describe an individual recognition method for sea turtles of the family Cheloniidae based on a mark-recapture study that relied on both artificial tagging (Inconel tags, style 681) and natural marks (facial profile photographs). Juvenile green Chelonia mydas and hawksbill Eretmochelys imbricata turtles were manually caught at Arvoredo Island, southern Brazil, and through visual comparison of facial profile photographs we were able to identify recaptured individuals with 2, 1, or no artificial tags. Additionally, Bayesian inference based on tag loss information indicated that the way a tag is attached (position and distance from the flipper edge) affects significantly the probability of its loss. We encourage the use of photographic identification (facial profile) as a reliable method for individual recognition in studies of cheloniid turtles. |
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Photographic identification of sea turtles: method description and validation, with an estimation of tag lossPhoto-identificationSea turtlesCheloniidaeTag lossBayesian inferenceRecognition of individual sea turtles is mostly achieved by checking artificial tags previously attached to them, a method which is made difficult by the considerable tag loss rate and which requires repeated manipulation of the marked individuals. We describe an individual recognition method for sea turtles of the family Cheloniidae based on a mark-recapture study that relied on both artificial tagging (Inconel tags, style 681) and natural marks (facial profile photographs). Juvenile green Chelonia mydas and hawksbill Eretmochelys imbricata turtles were manually caught at Arvoredo Island, southern Brazil, and through visual comparison of facial profile photographs we were able to identify recaptured individuals with 2, 1, or no artificial tags. Additionally, Bayesian inference based on tag loss information indicated that the way a tag is attached (position and distance from the flipper edge) affects significantly the probability of its loss. We encourage the use of photographic identification (facial profile) as a reliable method for individual recognition in studies of cheloniid turtles.2011-08-24T03:46:45Z2011-08-24T03:46:45Z2008info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfREISSER, Júlia et al. Photographic identification of sea turtles: method description and validation, with an estimation of tag loss. Endangered Species Research, v. 5, p. 73-82, 2008. Disponível em: <http://www.int-res.com/articles/esr2008/5/n005p073.pdf>. Acesso em: 23 ago. 2011.http://repositorio.furg.br/handle/1/91710.3354/esr00113engReisser, Júlia WienerProietti, Maíra CarneiroKinas, Paul GerhardSazima, Ivaninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FURG (RI FURG)instname:Universidade Federal do Rio Grande (FURG)instacron:FURG2014-09-18T20:04:18Zoai:repositorio.furg.br:1/917Repositório InstitucionalPUBhttps://repositorio.furg.br/oai/request || http://200.19.254.174/oai/requestopendoar:2014-09-18T20:04:18Repositório Institucional da FURG (RI FURG) - Universidade Federal do Rio Grande (FURG)false |
dc.title.none.fl_str_mv |
Photographic identification of sea turtles: method description and validation, with an estimation of tag loss |
title |
Photographic identification of sea turtles: method description and validation, with an estimation of tag loss |
spellingShingle |
Photographic identification of sea turtles: method description and validation, with an estimation of tag loss Reisser, Júlia Wiener Photo-identification Sea turtles Cheloniidae Tag loss Bayesian inference |
title_short |
Photographic identification of sea turtles: method description and validation, with an estimation of tag loss |
title_full |
Photographic identification of sea turtles: method description and validation, with an estimation of tag loss |
title_fullStr |
Photographic identification of sea turtles: method description and validation, with an estimation of tag loss |
title_full_unstemmed |
Photographic identification of sea turtles: method description and validation, with an estimation of tag loss |
title_sort |
Photographic identification of sea turtles: method description and validation, with an estimation of tag loss |
author |
Reisser, Júlia Wiener |
author_facet |
Reisser, Júlia Wiener Proietti, Maíra Carneiro Kinas, Paul Gerhard Sazima, Ivan |
author_role |
author |
author2 |
Proietti, Maíra Carneiro Kinas, Paul Gerhard Sazima, Ivan |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Reisser, Júlia Wiener Proietti, Maíra Carneiro Kinas, Paul Gerhard Sazima, Ivan |
dc.subject.por.fl_str_mv |
Photo-identification Sea turtles Cheloniidae Tag loss Bayesian inference |
topic |
Photo-identification Sea turtles Cheloniidae Tag loss Bayesian inference |
description |
Recognition of individual sea turtles is mostly achieved by checking artificial tags previously attached to them, a method which is made difficult by the considerable tag loss rate and which requires repeated manipulation of the marked individuals. We describe an individual recognition method for sea turtles of the family Cheloniidae based on a mark-recapture study that relied on both artificial tagging (Inconel tags, style 681) and natural marks (facial profile photographs). Juvenile green Chelonia mydas and hawksbill Eretmochelys imbricata turtles were manually caught at Arvoredo Island, southern Brazil, and through visual comparison of facial profile photographs we were able to identify recaptured individuals with 2, 1, or no artificial tags. Additionally, Bayesian inference based on tag loss information indicated that the way a tag is attached (position and distance from the flipper edge) affects significantly the probability of its loss. We encourage the use of photographic identification (facial profile) as a reliable method for individual recognition in studies of cheloniid turtles. |
publishDate |
2008 |
dc.date.none.fl_str_mv |
2008 2011-08-24T03:46:45Z 2011-08-24T03:46:45Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
REISSER, Júlia et al. Photographic identification of sea turtles: method description and validation, with an estimation of tag loss. Endangered Species Research, v. 5, p. 73-82, 2008. Disponível em: <http://www.int-res.com/articles/esr2008/5/n005p073.pdf>. Acesso em: 23 ago. 2011. http://repositorio.furg.br/handle/1/917 10.3354/esr00113 |
identifier_str_mv |
REISSER, Júlia et al. Photographic identification of sea turtles: method description and validation, with an estimation of tag loss. Endangered Species Research, v. 5, p. 73-82, 2008. Disponível em: <http://www.int-res.com/articles/esr2008/5/n005p073.pdf>. Acesso em: 23 ago. 2011. 10.3354/esr00113 |
url |
http://repositorio.furg.br/handle/1/917 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da FURG (RI FURG) instname:Universidade Federal do Rio Grande (FURG) instacron:FURG |
instname_str |
Universidade Federal do Rio Grande (FURG) |
instacron_str |
FURG |
institution |
FURG |
reponame_str |
Repositório Institucional da FURG (RI FURG) |
collection |
Repositório Institucional da FURG (RI FURG) |
repository.name.fl_str_mv |
Repositório Institucional da FURG (RI FURG) - Universidade Federal do Rio Grande (FURG) |
repository.mail.fl_str_mv |
|
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1813187271655948288 |