Chetri, M., Odden, M., Sharma, K., Flagstad, O., Wegge, P. (2019). Estimating snow leopard density using fecal DNA in a large landscape in north-central Nepal. Global Ecology and Conservation, (17), 1–8.
Abstract: Although abundance estimates have a strong bearing on the conservation status of a
species, less than 2% of the global snow leopard distribution range has been sampled
systematically, mostly in small survey areas. In order to estimate snow leopard density
across a large landscape, we collected 347 putative snow leopard scats from 246 transects
(490 km) in twenty-six 5 5km sized sampling grid cells within 4393 km2 in Annapurna-
Manaslu, Nepal. From 182 confirmed snow leopard scats, 81 were identified as belonging
to 34 individuals; the remaining were discarded for their low (<0.625) quality index. Using
maximum likelihood based spatial capture recapture analysis, we developed candidate
model sets to test effects of various covariates on density and detection of scats on transects.
The best models described the variation in density as a quadratic function of
elevation and detection as a linear function of topography. The average density estimate of
snow leopards for the area of interest within Nepal was 0.95 (SE 0.19) animals per 100 km2
(0.66e1.41 95% CL) with predicted densities varying between 0.1 and 1.9 in different parts,
thus highlighting the heterogeneity in densities as a function of habitat types. Our density
estimate was low compared to previous estimates from smaller study areas. Probably,
estimates from some of these areas were inflated due to locally high abundances in overlap
zones (hotspots) of neighboring individuals, whose territories probably range far beyond
study area borders. Our results highlight the need for a large-scale approach in snow
leopard monitoring, and we recommend that methodological problems related to spatial
scale are taken into account in future snow leopard research.
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Chernogaev E.A. (1978). Materials on rare and protected species of the Kyzylsu nature reserve.
Abstract: This survey was being done (May, 1975 February, 1976) in the new Kyzylsu nature reserve, established in 1975. Before 1975, the anthropogenic pressure was mainly represented by overgrazing and unregulated hunting. Provided are data on bird species (bearded vulture, Himalayan vulture, griffon vulture, golden eagle, and Himalayan snow cock), mammal species (long-tailed marmot, Indian porcupine, brown bear, lynx, snow leopard, and Siberian ibex).
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Chernogaev E.A. (1996). Modern condition and number of animals in nature reserves of Uzbekistan (Vol. Issue 1.).
Abstract: There is adducing information about number and modern condition of C.ferox, G.barbatus, A.chrisa‰tus, M.menzbieri, U.arctosisabellinus, L.lutra seistanica, H.hiena, F.lynx isabellina, U.uncia, C.elaphus bactrianus, G.subgutturoza, C.falconeri, O. ammon severtzovi, O. orientalis bochariensis and other species during last years in Chatkal, Nuratau, Hissar, Surkhan and Kyzylkum nature reserves. There is prognosis in changing of number.
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Cherkasova M.V. (1982). Predators.
Abstract: Among species included in the Red Data Book of the USSR, predators occupy the first place; of them, unconditional leadership belongs the cat family species. Nine of eleven species of the family are referred to as rare and endangered ones. In the past snow leopard (Uncia uncia) inhabited all mountains on the south of the USSR from Tien Shan and Pamir to Transbaikalia. Now it no longer inhabits many of its previous habitats and has become rare, everywhere. Its total population in the USSR is no more than 1000 animals. At the beginning of XX century there were cases that such an amount of snow leopard (i.e. 1,000) was hunted during one year. Until recently, hunting the species was allowed all year round and even encouraged.
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Chen, P., Gao, Y., Lee, A. T. L., Cering, L., Shi, K., Clark, S. G. (2016). Human–carnivore coexistence in Qomolangma (Mt. Everest) Nature Reserve, China: Patterns and compensation. Biological Conservation, (197), 18–26.
Abstract: Livestock depredation by large carnivores is frequently reported in Qomolangma (Mt. Everest) National Nature Reserve, Tibet Autonomous Region of China. Seeking to minimize conflicts, we assessed depredation patterns and ways to upgrade the compensation program. We gathered 9193 conflict records over 2011–2013 to determine the extent and tempo-spatial patterns of the depredation.Weinterviewed 22 local officials and 94 residents to learn their views on depredations and to assess the adequacy of compensation. Data showed that wolves (Canis lupus), lynx (Lynx lynx), and snowleopards (Panthera uncia)were themajor livestock predators. Total livestock
loss accounted for 1.2% of the entire stockholding (n=846,707) in the region. Wolves and lynx tended to take sheep and goats,whereas snowleopards favored yaks and cattle in relation to their proportional abundance. Predation mostly occurred in March through July. Livestock depredation by all predators when combined was best explained by terrain ruggedness and density of small- and large-bodied livestock. Temporal and spatial predation patterns variedamong carnivores.Most respondents (74%) attributed depredation causes to an increase in carnivore abundance. Only 7% blamed lax livestock herding practice for predation losses. Five percent said that
predation was the result of livestock population increases, while 11% had no idea. The compensation scheme was found to be flawed in all aspects—predation verification, application procedure, compensation standard, operational resource allocation, making payment, and other problems. To enhance management for human–carnivore coexistence, we recommend a problem-oriented, integrated, adaptive approach that targets the complex social context of the conflict and addresses the interconnected functions of decision-making process.
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Chaudhuri, S., Mukherjee, S. K., Chatterjee, A., & Ganguli, J. L. (1992). Isolation of P multocida F-3, 4 from a stillborn snow leopard. Vet Rec, 130(2), 36.
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Chapron, G., & Legendre, S. (2002). Some Insights Into Snow Leopard (Uncia Uncia) Demography By Using Stage Structured Population Models.. Seattle: Islt.
Abstract: Based on the limited data available on snow leopard demography, we developed deterministic and stochastic stage-structured demographic models to study the population dynamics of this large cat. Our results reveal that even small leopard populations can persist provided their demographic parameters remain high, but less favorable scenarios would require larger population sizes. Population growth rate is more sensitive to breeder survivals than to any other parameters. A snow leopard population would start declining if yearly mortality claims more than 1/5 of the population. This study identifies poaching as a major threat to snow leopard survival and stresses the importance of long-term studies to better understand snow leopard population dynamics.
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Chapron, G. (2005). Re-wilding: other projects help carnivores stay wild. Nature, 437, 318.
Abstract: Letter to Nature Editor, in response to: In their plea for bringing Pleistocene wildlife to the New World (“Re-wilding North America” Nature 436, 913–914; 2005), Josh Donlan and colleagues do not discuss successful efforts to ensure long-term survival of large carnivores in Africa and Asia. A few examples are given.
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Changxi, X., Bai, D., Lambert, J. P., Li, Y., Cering, L., Gong, Z., Riordan, P., Shi, K. (2022). How Snow Leopards Share the Same Landscape with Tibetan Agro-pastoral Communities in the Chinese Himalayas. Journal of Resources and Ecology, 13(3), 483–500.
Abstract: The snow leopard (Panthera uncia) inhabits a human-altered alpine landscape and is often tolerated by residents in regions where the dominant religion is Tibetan Buddhism, including in Qomolangma NNR on the northern side of the Chinese Himalayas. Despite these positive attitudes, many decades of rapid economic development and population growth can cause increasing disturbance to the snow leopards, altering their habitat use patterns and ultimately impacting their conservation. We adopted a dynamic landscape ecology perspective and used multi-scale technique and occupancy model to better understand snow leopard habitat use and coexistence with humans in an 825 km2 communal landscape. We ranked eight hypothetical models containing potential natural and anthropogenic drivers of habitat use and compared them between summer and winter seasons within a year. HABITAT was the optimal model in winter, whereas ANTHROPOGENIC INFLUENCE was the top ranking in summer (AICcw≤2). Overall, model performance was better in the winter than in the summer, suggesting that perhaps some latent summer covariates were not measured. Among the individual variables, terrain ruggedness strongly affected snow leopard habitat use in the winter, but not in the summer. Univariate modeling suggested snow leopards prefer to use rugged land in winter with a broad scale (4000 m focal radius) but with a lesser scale in summer (30 m); Snow leopards preferred habitat with a slope of 22° at a scale of 1000 m throughout both seasons, which is possibly correlated with prey occurrence. Furthermore, all covariates mentioned above showed inextricable ties with human activities (presence of settlements and grazing intensity). Our findings show that multiple sources of anthropogenic activity have complex connections with snow leopard habitat use, even under low human density when anthropogenic activities are sparsely distributed across a vast landscape. This study is also valuable for habitat use research in the future, especially regarding covariate selection for finite sample sizes in inaccessible terrain.
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Chandra, S., & Laughlin, D. C. (1975). Virus-like particles in cystic mammary adenoma of a snow leopard. Cancer Res, 35(11 Pt 1), 3069–3074.
Abstract: Virus-like particles were observed in the giant cells of a mammary adenoma of a snow leopard kept in captivity. Particles that measured 115 to 125 nm in diameter budded from the lamella of endoplasmic reticulum and were studded on their inner surfaces with dense granules (approximately 12 nm) that gave them their unique ultrastructural morphology. Such particles were not observed extracellularly. Type B or type C particles were not seen in the tumor tissue.
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