Maheshwari, A., Sharma, D., Sathyakumar, S. (2013). Snow Leopard (Panthera Uncia) surveys in the Western Himalayas, India. Journal of Ecology and Natural Environmnet, 5(10), 303–309.
Abstract: We conducted surveys above 3000 m elevation in eight protected areas of Uttarakhand and Himachal Pradesh. These surveys provide new information on snow leopard in Uttarakhand on the basis of indirect evidence such as pugmark and scat. Snow leopard evidence (n = 13) were found between 3190 and 4115 m elevation. On an average, scats (n = 09) of snow leopard were found for every 56 km walked and pugmarks (n = 04) for every 126 km walked. Altogether, about 39% of the evidence were found on the hill-slope followed by valley floor (30%), cliff (15%) and 8% from both stream bed and scree slope. Genetic analysis of the scats identified three different individuals by using snow leopard specific primers. Snow leopard-human conflicts were assessed through questionnaire based interviews of shepherds from Govind Pashu Vihar Wildlife Sanctuary, Askot Wildlife Sanctuary and Nanda Devi Biosphere Reserve areas of Uttarakhand. Surveys revealed that livestock depredation (mule, goat and sheep) is the only cause of snow leopard-human conflicts and contributed 36% of the diet of snow leopard. Blue sheep and rodents together comprised 36.4% of the total diet. We found that 68.1% of the surveyed area was used for pastoral activities in Uttarakhand and Himachal Pradesh and 12.3% area was under tourism, defence and developmental activities.
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Shrestha, R., & Wegge, P. (2008). Habitat relationships between wild and domestic herbivores in Nepalese trans – Himalaya. Journal of Arid Environments, 72, 914–925.
Abstract: In the semi-arid ecosystems of Asia, where pastoralism is a main subsistence occupation, grazing competition from domestic stock is believed to displace the wild ungulates. We studied the habitat relationships among sympatric naur and domestic yak and smallstock in Phu valley in upper Manang district, Nepal, on the basis of their distribution on vegetation types, elevation and slope. To control for the disturbance effect by humans, we collected the data on naur from those ranges where domestic stock were not being attended by herders. We applied correspondence analysis to explore habitat associations among animal groups (n ¬ 1415) within and across-seasons. Within each association, interspecific habitat overlaps and species habitat preferences were calculated. Naur was strongly associated with free-ranging yak as they used similar altitudinal ranges in all seasons, except in spring. Their distributions on vegetation types and slopes were also quite similar, except for a stronger preference for alpine meadows by naur during summer and winter. Naur and smallstock did not form temporal associations as the latter consistently used lower elevations. In autumn and spring, however, naur spatially overlapped with the summer range of smallstock, and both preferred the alpine meadow habitat during these periods. Alpine meadow was the least abundant vegetation type but was consistently and preferentially used by all animal groups across seasons. At high stocking densities, all three animals groups are therefore likely to compete for this vegetation type. The role of spatio-temporal heterogeneity for interpreting the interspecific relationships among ungulates in the semi-arid rangelands of the trans-Himalaya is discussed.
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Sunquist, F. (1997). Where cats and herders mix. (snow leopards in Tibet and Mongolia). International Wildlife, 27(1), 27–33.
Abstract: The snow leopard inhabits a huge range of territory which encompasses some of Central Asia's most bleak and inhospitable terrains. The animal herders in these regions are desperately poor and yet they have agreed to cooperate with conservation groups in protecting the snow leopard. The World Wildlife Foundation has worked to create a refuge on the Pakistan-China border. Sheep herders near Askole, a village in the Baltistan region of northern Paksitan, drive their flocks past stone enclosures. The area is also home to snow leopards. With their natural prey dminished, leopards in 13 countries of central Asia occasionally feed on livestock, putting the cats on a collision course with mountain peoples.
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Braden, K. (1982). The Geographical Distribution of the Snow Leopard in the USSR: Maps of Areas of Snow Leopard Habitation in the USSR. International Pedigree Book of Snow Leopards, 3, 25–39.
Abstract: Reviews published information from the USSR vs past status of the snow leopard in various parts of its range within that country. Maps provide locations in the USSR of evidence of snow leopard occurence from published records of the species over the last 100 yrs.
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Jackson, R., & Ahlborn, G. (1984). A preliminary habitat suitability model for the snow leopard, Panthera uncia, in West Nepal. International Pedigree Book of Snow Leopards, 4, 43–52.
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Koshkarev, E. P. (1984). Characteristics of snow leopard (Uncia uncia) movements in the Tien Shan. International Pedigree Book of Snow Leopards, 4, 15–21.
Abstract: Reports on a 3 yr winter study of snow leopard movements and activity, based on following tracks in the snow in Tien Shan Mountains of USSR. Travel route preference is examined with regard to snow and terrain characteristics, and prey abundance. Snow leopard kills of ibex and hare are noted
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Fox, J. L., & Nurbu, C. (1990). Hemis, a national park for snow leopards in India's Trans-Himalaya. Int.Pedigree Book of Snow Leopards, 6, 71–84.
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Jackson, R., & Ahlborn, G. (1990). The role of protected areas in Nepal in maintaining viable populations of snow leopards. Int.Ped.Book of Snow Leopards, 6, 51–69.
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Islam, M., Sahana, M., Areendran, G., Jamir, C., Raj, K., Sajjad, H. (2023). Prediction of potential habitat suitability of snow leopard (Panthera uncia) and blue sheep (Pseudois nayaur) and niche overlap in the parts of western Himalayan region. Geo: Geography and Environment, 10(e00121), 1–15.
Abstract: The snow leopard (Panthera uncia) and blue sheep (Pseudois nayaur) are the inhabitants of remote areas at higher altitudes with extreme geographic and climatic conditions. The habitats of these least-studied species are crucial for sustaining the Himalayan ecosystem. We employed the Maximum Entropy (MaxEnt) species distribution model to predict the potential habitat suitability of snow leopards and blue sheep and extracted common overlapped niches. For this, we utilised presence location, bio-climatic and environmental variables, and correlation analysis was applied to reduce the negative impact of multicollinearity. A total of 134 presence locations of snow leopards and 64 for blue sheep were selected from the Global Biodiversity Information Facility (GBIF). The annual mean temperature (Bio1) was found to be the most useful and highly influential factor to predict the potential habitat suitability of snow leopards. Annual mean temperature, annual precipitation and isothermality were the major influencing factors for blue sheep habitat suitability. Highly influential bio-climatic, topographic and environmental variables were integrated to construct the model for predicting habitat suitability. The area under the curve (AUC) values for snow leopard (0.87) and blue sheep (0.82) showed that the models are under good representation. Of the total area investigated, 47% was suitable for the blue sheep and 38% for the snow leopards. Spatial habitat assessment revealed that nearly 11% area from the predicted suitable habitat class of both species was spatially matched (overlapped), 48.6% area was unsuitable under niche overlap and 40.5% area was spatially mismatched niche. The presence of snow leopards and blue sheep in some highly suitable areas was not observed, yet such areas have the potential to sustain these elusive species. The other geographical regions interested in exploring habitat suitability may find the methodological framework adopted in this study useful for formulating an effective conservation policy and management strategy.
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Li, J., Xue, Y., Hacker, C. E., Zhang, Y., Li, Y., Cong, W., Jin, L., Li, G., Wu, B., Li, D., Zhang, Y. (2021). Projected impacts of climate change on snow leopard habitat in Qinghai Province, China. Ecology and Evolution, (11), 17202–17218.
Abstract: Assessing species’ vulnerability to climate change is a prerequisite for developing effective strategies to reduce emerging climate-related threats. We used the maximum entropy algorithm (MaxEnt model) to assess potential changes in suitable snow leopard (Panthera uncia) habitat in Qinghai Province, China, under a mild climate change scenario. Our results showed that the area of suitable snow leopard habitat in Qinghai Province was 302,821 km2 under current conditions and 228,997 km2 under the 2050s climatic scenario, with a mean upward shift in elevation of 90 m. At present, nature reserves protect 38.78% of currently suitable habitat and will protect 42.56% of future suitable habitat. Current areas of climate refugia amounted to 212,341 km2 and are mainly distributed in the Sanjiangyuan region, Qilian mountains, and surrounding areas. Our results provide valuable information for formulating strategies to meet future conservation challenges brought on by climate stress. We suggest that conservation efforts in Qinghai Province should focus on protecting areas of climate refugia and on maintaining or building corridors when planning for future species management.
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