Prioritizing Tiger Conservation through Landscape Genetics and Habitat Linkages

dc.contributor.authorYumnam, Bibek
dc.contributor.authorJhala, Yadvendradev V.
dc.contributor.authorQureshi, Qamar
dc.contributor.authorMaldonado, Jesús E.
dc.contributor.authorGopal, Rajesh
dc.contributor.authorSaini, Swati
dc.contributor.authorSrinivas, Y.
dc.contributor.authorFleischer, Robert C.
dc.date.accessioned2015-04-20T15:15:21Z
dc.date.available2015-04-20T15:15:21Z
dc.date.issued2014
dc.description.abstractEven 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 km2 of forest habitat was found to be only 21,290 km2. 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 (FST) 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.
dc.format.extent1–28
dc.identifier1932-6203
dc.identifier.citationYumnam, Bibek, Jhala, Yadvendradev V., Qureshi, Qamar, Maldonado, Jesús E., Gopal, Rajesh, Saini, Swati, Srinivas, Y., and Fleischer, Robert C. 2014. "<a href="http://www.plosone.org/article/fetchObject.action?uri=info%3Adoi%2F10.1371%2Fjournal.pone.0111207&representation=PDF">Prioritizing Tiger Conservation through Landscape Genetics and Habitat Linkages</a>." <em>PloS One</em>, 9, (11) 1–28. <a href="https://doi.org/10.1371/journal.pone.0111207">https://doi.org/10.1371/journal.pone.0111207</a>.
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/10088/25212
dc.identifier.urihttp://www.plosone.org/article/fetchObject.action?uri=info%3Adoi%2F10.1371%2Fjournal.pone.0111207&representation=PDF
dc.publisherPublic Library of Science
dc.relation.ispartofPloS One 9 (11)
dc.titlePrioritizing Tiger Conservation through Landscape Genetics and Habitat Linkages
dc.typearticle
sro.description.unitNH-Vertebrate Zoology
sro.description.unitNMNH
sro.description.unitNZP
sro.identifier.doi10.1371/journal.pone.0111207
sro.identifier.itemID132940
sro.identifier.refworksID100525
sro.identifier.urlhttp://www.plosone.org/article/fetchObject.action?uri=info%3Adoi%2F10.1371%2Fjournal.pone.0111207&representation=PDF
sro.publicationPlaceSan Francisco

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