Data analysis model selection for estimating local population size of the Risso’s dolphin (Grampus griseus) in the Azores
Main Author: | |
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Publication Date: | 2013 |
Other Authors: | , , , |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10400.3/3046 |
Summary: | Different models estimating cetacean population size require making assumptions about the marking and recapturing of individuals, and on the structure of the population. Crucial in selecting the most appropriate model is a critical assessment of these assumptions. In this study we applied the robust parameterization of the open Jolly-Seber (JS) model (POPAN), using the software program MARK. This model was applied to data collected on the Risso’s dolphin (Grampus griseus). Between 2004 – 2007, photo-identification was used as a Capture-Mark-Recapture technique to identify 670 unique individuals off Pico Island, Azores. For this model, it was assessed what assumptions are supported or violated. The aim of this study was improving our understanding of how to select the most appropriate population size model. |
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Data analysis model selection for estimating local population size of the Risso’s dolphin (Grampus griseus) in the AzoresRisso's Dolphins (Grampus griseus)AzoresDifferent models estimating cetacean population size require making assumptions about the marking and recapturing of individuals, and on the structure of the population. Crucial in selecting the most appropriate model is a critical assessment of these assumptions. In this study we applied the robust parameterization of the open Jolly-Seber (JS) model (POPAN), using the software program MARK. This model was applied to data collected on the Risso’s dolphin (Grampus griseus). Between 2004 – 2007, photo-identification was used as a Capture-Mark-Recapture technique to identify 670 unique individuals off Pico Island, Azores. For this model, it was assessed what assumptions are supported or violated. The aim of this study was improving our understanding of how to select the most appropriate population size model.Repositório da Universidade dos AçoresStap, Tim Van derHartman, Karin L.Wittic, AnjaAzevedo, José M. N.Heitkönig, Ignas M. A.2014-05-29T12:54:40Z20132013-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10400.3/3046enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-07T10:00:22Zoai:repositorio.uac.pt:10400.3/3046Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T00:28:47.750729Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Data analysis model selection for estimating local population size of the Risso’s dolphin (Grampus griseus) in the Azores |
title |
Data analysis model selection for estimating local population size of the Risso’s dolphin (Grampus griseus) in the Azores |
spellingShingle |
Data analysis model selection for estimating local population size of the Risso’s dolphin (Grampus griseus) in the Azores Stap, Tim Van der Risso's Dolphins (Grampus griseus) Azores |
title_short |
Data analysis model selection for estimating local population size of the Risso’s dolphin (Grampus griseus) in the Azores |
title_full |
Data analysis model selection for estimating local population size of the Risso’s dolphin (Grampus griseus) in the Azores |
title_fullStr |
Data analysis model selection for estimating local population size of the Risso’s dolphin (Grampus griseus) in the Azores |
title_full_unstemmed |
Data analysis model selection for estimating local population size of the Risso’s dolphin (Grampus griseus) in the Azores |
title_sort |
Data analysis model selection for estimating local population size of the Risso’s dolphin (Grampus griseus) in the Azores |
author |
Stap, Tim Van der |
author_facet |
Stap, Tim Van der Hartman, Karin L. Wittic, Anja Azevedo, José M. N. Heitkönig, Ignas M. A. |
author_role |
author |
author2 |
Hartman, Karin L. Wittic, Anja Azevedo, José M. N. Heitkönig, Ignas M. A. |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade dos Açores |
dc.contributor.author.fl_str_mv |
Stap, Tim Van der Hartman, Karin L. Wittic, Anja Azevedo, José M. N. Heitkönig, Ignas M. A. |
dc.subject.por.fl_str_mv |
Risso's Dolphins (Grampus griseus) Azores |
topic |
Risso's Dolphins (Grampus griseus) Azores |
description |
Different models estimating cetacean population size require making assumptions about the marking and recapturing of individuals, and on the structure of the population. Crucial in selecting the most appropriate model is a critical assessment of these assumptions. In this study we applied the robust parameterization of the open Jolly-Seber (JS) model (POPAN), using the software program MARK. This model was applied to data collected on the Risso’s dolphin (Grampus griseus). Between 2004 – 2007, photo-identification was used as a Capture-Mark-Recapture technique to identify 670 unique individuals off Pico Island, Azores. For this model, it was assessed what assumptions are supported or violated. The aim of this study was improving our understanding of how to select the most appropriate population size model. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013 2013-01-01T00:00:00Z 2014-05-29T12:54:40Z |
dc.type.driver.fl_str_mv |
conference object |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.3/3046 |
url |
http://hdl.handle.net/10400.3/3046 |
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 |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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