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Prioritizing Tiger Conservation through Landscape Genetics and Habitat Linkages

Even with global support for tiger (Panthera tigris) conservation their survival is threatened by poaching, habitat loss and isolation. Currently about 3,000 wild tigers persist in small fragmented populations within seven percent of their historic range. Identifying and securing habitat linkages th...

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Autores principales: Yumnam, Bibek, Jhala, Yadvendradev V., Qureshi, Qamar, Maldonado, Jesus E., Gopal, Rajesh, Saini, Swati, Srinivas, Y., Fleischer, Robert C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4230928/
https://www.ncbi.nlm.nih.gov/pubmed/25393234
http://dx.doi.org/10.1371/journal.pone.0111207
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author Yumnam, Bibek
Jhala, Yadvendradev V.
Qureshi, Qamar
Maldonado, Jesus E.
Gopal, Rajesh
Saini, Swati
Srinivas, Y.
Fleischer, Robert C.
author_facet Yumnam, Bibek
Jhala, Yadvendradev V.
Qureshi, Qamar
Maldonado, Jesus E.
Gopal, Rajesh
Saini, Swati
Srinivas, Y.
Fleischer, Robert C.
author_sort Yumnam, Bibek
collection PubMed
description Even with global support for tiger (Panthera tigris) conservation their survival is threatened by poaching, habitat loss and isolation. Currently about 3,000 wild tigers persist in small fragmented populations within seven percent of their historic range. Identifying and securing habitat linkages that connect source populations for maintaining landscape-level gene flow is an important long-term conservation strategy for endangered carnivores. However, habitat corridors that link regional tiger populations are often lost to development projects due to lack of objective evidence on their importance. Here, we use individual based genetic analysis in combination with landscape permeability models to identify and prioritize movement corridors across seven tiger populations within the Central Indian Landscape. By using a panel of 11 microsatellites we identified 169 individual tigers from 587 scat and 17 tissue samples. We detected four genetic clusters within Central India with limited gene flow among three of them. Bayesian and likelihood analyses identified 17 tigers as having recent immigrant ancestry. Spatially explicit tiger occupancy obtained from extensive landscape-scale surveys across 76,913 km(2) of forest habitat was found to be only 21,290 km(2). After accounting for detection bias, the covariates that best explained tiger occupancy were large, remote, dense forest patches; large ungulate abundance, and low human footprint. We used tiger occupancy probability to parameterize habitat permeability for modeling habitat linkages using least-cost and circuit theory pathway analyses. Pairwise genetic differences (F (ST)) between populations were better explained by modeled linkage costs (r>0.5, p<0.05) compared to Euclidean distances, which was in consonance with observed habitat fragmentation. The results of our study highlight that many corridors may still be functional as there is evidence of contemporary migration. Conservation efforts should provide legal status to corridors, use smart green infrastructure to mitigate development impacts, and restore habitats where connectivity has been lost.
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spelling pubmed-42309282014-11-18 Prioritizing Tiger Conservation through Landscape Genetics and Habitat Linkages Yumnam, Bibek Jhala, Yadvendradev V. Qureshi, Qamar Maldonado, Jesus E. Gopal, Rajesh Saini, Swati Srinivas, Y. Fleischer, Robert C. PLoS One Research Article Even with global support for tiger (Panthera tigris) conservation their survival is threatened by poaching, habitat loss and isolation. Currently about 3,000 wild tigers persist in small fragmented populations within seven percent of their historic range. Identifying and securing habitat linkages that connect source populations for maintaining landscape-level gene flow is an important long-term conservation strategy for endangered carnivores. However, habitat corridors that link regional tiger populations are often lost to development projects due to lack of objective evidence on their importance. Here, we use individual based genetic analysis in combination with landscape permeability models to identify and prioritize movement corridors across seven tiger populations within the Central Indian Landscape. By using a panel of 11 microsatellites we identified 169 individual tigers from 587 scat and 17 tissue samples. We detected four genetic clusters within Central India with limited gene flow among three of them. Bayesian and likelihood analyses identified 17 tigers as having recent immigrant ancestry. Spatially explicit tiger occupancy obtained from extensive landscape-scale surveys across 76,913 km(2) of forest habitat was found to be only 21,290 km(2). After accounting for detection bias, the covariates that best explained tiger occupancy were large, remote, dense forest patches; large ungulate abundance, and low human footprint. We used tiger occupancy probability to parameterize habitat permeability for modeling habitat linkages using least-cost and circuit theory pathway analyses. Pairwise genetic differences (F (ST)) between populations were better explained by modeled linkage costs (r>0.5, p<0.05) compared to Euclidean distances, which was in consonance with observed habitat fragmentation. The results of our study highlight that many corridors may still be functional as there is evidence of contemporary migration. Conservation efforts should provide legal status to corridors, use smart green infrastructure to mitigate development impacts, and restore habitats where connectivity has been lost. Public Library of Science 2014-11-13 /pmc/articles/PMC4230928/ /pubmed/25393234 http://dx.doi.org/10.1371/journal.pone.0111207 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Yumnam, Bibek
Jhala, Yadvendradev V.
Qureshi, Qamar
Maldonado, Jesus E.
Gopal, Rajesh
Saini, Swati
Srinivas, Y.
Fleischer, Robert C.
Prioritizing Tiger Conservation through Landscape Genetics and Habitat Linkages
title Prioritizing Tiger Conservation through Landscape Genetics and Habitat Linkages
title_full Prioritizing Tiger Conservation through Landscape Genetics and Habitat Linkages
title_fullStr Prioritizing Tiger Conservation through Landscape Genetics and Habitat Linkages
title_full_unstemmed Prioritizing Tiger Conservation through Landscape Genetics and Habitat Linkages
title_short Prioritizing Tiger Conservation through Landscape Genetics and Habitat Linkages
title_sort prioritizing tiger conservation through landscape genetics and habitat linkages
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4230928/
https://www.ncbi.nlm.nih.gov/pubmed/25393234
http://dx.doi.org/10.1371/journal.pone.0111207
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