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Delineating Ecological Boundaries of Hanuman Langur Species Complex in Peninsular India Using MaxEnt Modeling Approach

Overview of attention for article published in PLOS ONE, February 2014
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Title
Delineating Ecological Boundaries of Hanuman Langur Species Complex in Peninsular India Using MaxEnt Modeling Approach
Published in
PLOS ONE, February 2014
DOI 10.1371/journal.pone.0087804
Pubmed ID
Authors

Nag Chetan, Karanth K. Praveen, Gururaja Kotambylu Vasudeva

Abstract

Hanuman langur is one of the widely distributed and extensively studied non-human diurnal primates in India. Until recently it was believed to be a single species - Semnopithecus entellus. Recent molecular and morphological studies suggest that the Hanuman langurs consists of at least three species S. entellus, S. hypoleucos and S. priam. Furthermore, morphological studies suggested that both S. hypoleucos and S. priam have at least three subspecies in each. We explored the use of ecological niche modeling (ENM) to confirm the validity of these seven taxa and an additional taxon S. johnii belonging to the same genus. MaxEnt modeling tool was used with 19 bioclimatic, 12 vegetation and 6 hydrological environmental layers. We reduced total environmental variables to 14 layers after testing for collinearity and an independent test for model prediction was done using ENMTools. A total of 196 non-overlapping data points from primary and secondary sources were used as inputs for ENM. Results showed eight distinct ecological boundaries, corroborating the eight taxa mentioned above thereby confirming validity of these eight taxa. The study, for the first time provided ecological variables that determined the ecological requirements and distribution of members of the Hanuman langur species complex in the Indian peninsula.

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Mendeley readers

The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 1%
South Africa 1 <1%
United Kingdom 1 <1%
Georgia 1 <1%
Argentina 1 <1%
United States 1 <1%
Unknown 130 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 23%
Researcher 27 20%
Student > Master 20 15%
Student > Bachelor 11 8%
Student > Postgraduate 9 7%
Other 24 18%
Unknown 15 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 71 52%
Environmental Science 22 16%
Biochemistry, Genetics and Molecular Biology 6 4%
Earth and Planetary Sciences 4 3%
Social Sciences 3 2%
Other 8 6%
Unknown 23 17%