Long-term occupancy trends in a data-poor dugong population in the Andaman and Nicobar archipelago.

Prioritizing efforts for conserving rare and threatened species with limited past data and lacking population estimates is predicated on robust assessments of their occupancy rates. This is particularly challenging for elusive, long-lived and wide-ranging marine mammals. In this paper we estimate tr...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Elrika D'Souza, Vardhan Patankar, Rohan Arthur, Teresa Alcoverro, Nachiket Kelkar
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2013
Materias:
R
Q
Acceso en línea:https://doaj.org/article/fc28f64945c94d7999ea35b69c0511e4
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:fc28f64945c94d7999ea35b69c0511e4
record_format dspace
spelling oai:doaj.org-article:fc28f64945c94d7999ea35b69c0511e42021-11-18T08:51:03ZLong-term occupancy trends in a data-poor dugong population in the Andaman and Nicobar archipelago.1932-620310.1371/journal.pone.0076181https://doaj.org/article/fc28f64945c94d7999ea35b69c0511e42013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24143180/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Prioritizing efforts for conserving rare and threatened species with limited past data and lacking population estimates is predicated on robust assessments of their occupancy rates. This is particularly challenging for elusive, long-lived and wide-ranging marine mammals. In this paper we estimate trends in long-term (over 50 years) occupancy, persistence and extinction of a vulnerable and data-poor dugong (Dugong dugon) population across multiple seagrass meadows in the Andaman and Nicobar archipelago (India). For this we use hierarchical Bayesian dynamic occupancy models accounting for false negatives (detection probability<1), persistence and extinction, to two datasets: a) fragmentary long-term occurrence records from multiple sources (1959-2004, n = 40 locations), and b) systematic detection/non-detection data from current surveys (2010-2012, n = 57). Dugong occupancy across the archipelago declined by 60% (from 0.45 to 0.18) over the last 20 years and present distribution was largely restricted to sheltered bays and channels with seagrass meadows dominated by Halophila and Halodule sp. Dugongs were not found in patchy meadows with low seagrass cover. In general, seagrass habitat availability was not limiting for dugong occupancy, suggesting that anthropogenic factors such as entanglement in gillnets and direct hunting may have led to local extinction of dugongs from locations where extensive seagrass meadows still thrive. Effective management of these remnant dugong populations will require a multi-pronged approach, involving 1) protection of areas where dugongs still persist, 2) monitoring of seagrass habitats that dugongs could recolonize, 3) reducing gillnet use in areas used by dugongs, and 4) engaging with indigenous/settler communities to reduce impacts of hunting.Elrika D'SouzaVardhan PatankarRohan ArthurTeresa AlcoverroNachiket KelkarPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 10, p e76181 (2013)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Elrika D'Souza
Vardhan Patankar
Rohan Arthur
Teresa Alcoverro
Nachiket Kelkar
Long-term occupancy trends in a data-poor dugong population in the Andaman and Nicobar archipelago.
description Prioritizing efforts for conserving rare and threatened species with limited past data and lacking population estimates is predicated on robust assessments of their occupancy rates. This is particularly challenging for elusive, long-lived and wide-ranging marine mammals. In this paper we estimate trends in long-term (over 50 years) occupancy, persistence and extinction of a vulnerable and data-poor dugong (Dugong dugon) population across multiple seagrass meadows in the Andaman and Nicobar archipelago (India). For this we use hierarchical Bayesian dynamic occupancy models accounting for false negatives (detection probability<1), persistence and extinction, to two datasets: a) fragmentary long-term occurrence records from multiple sources (1959-2004, n = 40 locations), and b) systematic detection/non-detection data from current surveys (2010-2012, n = 57). Dugong occupancy across the archipelago declined by 60% (from 0.45 to 0.18) over the last 20 years and present distribution was largely restricted to sheltered bays and channels with seagrass meadows dominated by Halophila and Halodule sp. Dugongs were not found in patchy meadows with low seagrass cover. In general, seagrass habitat availability was not limiting for dugong occupancy, suggesting that anthropogenic factors such as entanglement in gillnets and direct hunting may have led to local extinction of dugongs from locations where extensive seagrass meadows still thrive. Effective management of these remnant dugong populations will require a multi-pronged approach, involving 1) protection of areas where dugongs still persist, 2) monitoring of seagrass habitats that dugongs could recolonize, 3) reducing gillnet use in areas used by dugongs, and 4) engaging with indigenous/settler communities to reduce impacts of hunting.
format article
author Elrika D'Souza
Vardhan Patankar
Rohan Arthur
Teresa Alcoverro
Nachiket Kelkar
author_facet Elrika D'Souza
Vardhan Patankar
Rohan Arthur
Teresa Alcoverro
Nachiket Kelkar
author_sort Elrika D'Souza
title Long-term occupancy trends in a data-poor dugong population in the Andaman and Nicobar archipelago.
title_short Long-term occupancy trends in a data-poor dugong population in the Andaman and Nicobar archipelago.
title_full Long-term occupancy trends in a data-poor dugong population in the Andaman and Nicobar archipelago.
title_fullStr Long-term occupancy trends in a data-poor dugong population in the Andaman and Nicobar archipelago.
title_full_unstemmed Long-term occupancy trends in a data-poor dugong population in the Andaman and Nicobar archipelago.
title_sort long-term occupancy trends in a data-poor dugong population in the andaman and nicobar archipelago.
publisher Public Library of Science (PLoS)
publishDate 2013
url https://doaj.org/article/fc28f64945c94d7999ea35b69c0511e4
work_keys_str_mv AT elrikadsouza longtermoccupancytrendsinadatapoordugongpopulationintheandamanandnicobararchipelago
AT vardhanpatankar longtermoccupancytrendsinadatapoordugongpopulationintheandamanandnicobararchipelago
AT rohanarthur longtermoccupancytrendsinadatapoordugongpopulationintheandamanandnicobararchipelago
AT teresaalcoverro longtermoccupancytrendsinadatapoordugongpopulationintheandamanandnicobararchipelago
AT nachiketkelkar longtermoccupancytrendsinadatapoordugongpopulationintheandamanandnicobararchipelago
_version_ 1718421301132001280