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Author (up) Singh, R., Krausman, P. R., Pandey, P., Maheshwari, A., Rawal, R. S., Sharma, S., Shekhar, S. url 
  Title Predicting Habitat Suitability of Snow Leopards in the Western Himalayan Mountains, India Type Journal Article
  Year 2020 Publication Biology bulletin Abbreviated Journal  
  Volume 47 Issue 6 Pages 655-664  
  Keywords biogeographic distribution, climate, endangered cat, MaxEnt, snow leopard  
  Abstract The population of snow leopard (Panthera uncia) is declining

across their range, due to poaching, habitat fragmentation, retaliatory

killing, and a decrease of wild prey species. Obtaining information on

rare and cryptic predators living in remote and rugged terrain is

important for making conservation and management strategies. We used the

Maximum Entropy (MaxEnt) ecological niche modeling framework to predict

the potential habitat of snow leopards across the western Himalayan

region, India. The model was developed using 34 spatial species

occurrence points in the western Himalaya, and 26 parameters including,

prey species distribution, temperature, precipitation, land use and land

cover (LULC), slope, aspect, terrain ruggedness and altitude. Thirteen

variables contributed 98.6% towards predicting the distribution of snow

leopards. The area under the curve (AUC) score was high (0.994) for the

training data from our model, which indicates pre- dictive ability of

the model. The model predicted that there was 42432 km2 of potential

habitat for snow leop- ards in the western Himalaya region. Protected

status was available for 11247 km2 (26.5%), but the other 31185 km2

(73.5%) of potential habitat did not have any protected status. Thus,

our approach is useful for predicting the distribution and suitable

habitats and can focus field surveys in selected areas to save

resources, increase survey success, and improve conservation efforts for

snow leopards.
 
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  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number Serial 1629  
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