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Schaller, G. B. (1972). On meeting a Snow Leopard. Animal Kingdom, 75(1), 7–13.
Abstract: Discusses snow leopard distribution, ecology and conservation. Describes baiting (with a domestic goat) of a snow leopard and cub in a game reserve in Northern Pakistan. Incudes a description of the Leopard killing a goat, and observations over a week when the leopards were feeding on the goat baits.
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Schaller, G. B. (1976). Mountain mammals in Pakistan. Oryx, 13, 351–356.
Abstract: Four or five snow leopards were present in 300 sq km of Chitral District in 1974. Six snow leopards were shot in vicinity of Chitral Gol in winter of 1971-1972, and at least one the next year. Estimates fewer then 250 snow leopards in Pakistan.
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Taryannikov, V. I. (1986). Distribution, biology and current state of the number of the rare predatory mammals in W. Gissar. The Ecology, Protection, and Acclimatization of Vertebrates in Uzbekistan. Tashkent.
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Zhirnov, L., & Ilyinsky, V. (1986). The Great Gobi National Park – a refuge for rare animals of the Central Asian deserts. Moscow: Centre for International Projects, GKNT.
Abstract: Discusses snow leopard distribution in Great Gobi National Park
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Singh, R., Krausman, P. R., Pandey, P., Maheshwari, A., Rawal,
R. S., Sharma, S., Shekhar, S. (2020). Predicting Habitat Suitability of Snow Leopards in the Western
Himalayan Mountains, India. Biology bulletin, 47(6), 655–664.
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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Atzeni, L., Cushman, S. A., Bai, D., Wang, J., Chen, P., Shi,
K., Riordan, P. (2020). Meta-replication, sampling bias, and multi-scale model selection:
A case study on snow leopard (Panthera uncia) in western China. Ecology and Evolution, , 1–27.
Abstract: Replicated multiple scale species distribution models (SDMs)
have become increasingly important to identify the correct variables
determining species distribution and their influences on ecological
responses. This study explores multi-scale habitat relationships of the
snow leopard (Panthera uncia) in two study areas on the Qinghai–Tibetan
Plateau of western China. Our primary objectives were to evaluate the
degree to which snow leopard habitat relationships, expressed by
predictors, scales of response, and magnitude of effects, were
consistent across study areas or locally landcape-specific. We coupled
univariate scale optimization and the maximum entropy algorithm to
produce multivariate SDMs, inferring the relative suitability for the
species by ensembling top performing models. We optimized the SDMs based
on average omission rate across the top models and ensembles’ overlap
with a simulated reference model. Comparison of SDMs in the two study
areas highlighted landscape-specific responses to limiting factors.
These were dependent on the effects of the hydrological network,
anthropogenic features, topographic complexity, and the heterogeneity of
the landcover patch mosaic. Overall, even accounting for specific local
differences, we found general landscape attributes associated with snow
leopard ecological requirements, consisting of a positive association
with uplands and ridges, aggregated low-contrast landscapes, and large
extents of grassy and herbaceous vegetation. As a means to evaluate the
performance of two bias correction methods, we explored their effects on
three datasets showing a range of bias intensities. The performance of
corrections depends on the bias intensity; however, density kernels
offered a reliable correction strategy under all circumstances. This
study reveals the multi-scale response of snow leopards to environmental
attributes and confirms the role of meta-replicated study designs for
the identification of spatially varying limiting factors. Furthermore,
this study makes important contributions to the ongoing discussion about
the best approaches for sampling bias correction.
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Fox, J. L. (1989). An Annotated Bibliography of Literature on the Snow Leopard. Usa: Islt.
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Ming, M., XuFeng, Turghan, M., & Shoujin, Y. (2004). Report on Snow Leopard (Uncia uncia) Surveys in Tomur, Xinjiang, China 2004. Xinjian, P.R. of China: Xinjiang Snow Leopard Group; Xinjiang Institute of Ecology and Geography; Chinese Academy of Science.
Abstract: The Snow Leopard (Uncia uncia) investigation in the Tomur area is the second step of the “Project of Snow Leopard Study in Xinjiang”. In this part of the project, we collected information on the distribution , abundance and population size of the snow leopard in this area. The investigation lasted for 3 weeks, between October 17 and November 7th, 2004. During the 22 days of field work, we surveyed 4 different places in Wensu County, Aksu District: e.g. Pochenzi and the Muzat River area, Bozdun and the Little Kuzbay River area, Yinyar and the Tomur River area, Taglak and the Qiong Tailan River area. The 4 main areas, along with a few other valleys, covered most of the Tomur National Conservation Zone. In total, we ran 42 transects. In 15 transects, we found signs left by snow leopards. We also collected 15 fecal samples for diet analysis. This time we interviewed nearly 90 local people from different nationalities: e.g. Han (Chinese), Uygur and Kyrgyz people, including herdsmen, geologists, mineworkers, drivers, veterinarians, businessmen, forest officials, soldiers and policemen. They provided us with an array of information on the historical and current distribution and abundance of the snow leopard in this area.
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Xu, F., Ming, M., Yin, S. -jing, & Mardan. (2005). Snow Leopard Survey in Tumor Nature Reserve, Xingjiang (Vol. 24).
Abstract: Snow leopard survey was conducted in Oct-Nov 2004 at Tumor National Natural Reserve, Xinjiang, China. Because of its special living style, the snow leopard is difficult to observe by sight. Signs left by snow leopard become a good index to prove the existance of the big cat. There are mainly five kinds of signs, footprints, fectes, claw rakes and urine spray. From them we can know the distribution, probably population and habitat selection of snow leopard. This time in Tumor we investigated 5 difference places: Pochenzi in Mozat River area, Boxidun in Little Kuzbay River area, Yinyer in Tomur River area, Kurgan and Taglak in Quiong Tailan River area. 42 transects were run in this trip and a total of 57 signs found. Among them, footprints amounted to 71.9%, scrapes 21.1%, and feces 7.0%. The results showed that the big cat existed in Yinyer, Kurgan and Taglak areas and liked to select their habitat in the valley and didn't like to live in barren areas.
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Anonymous. (2001). Snow leopard in Mongolia. Ulaanbaatar, Mongolia.
Abstract: This documents contains a review of the snow leopard's distribution, status and habitat in Mongolia, describes threats and conservation needs of the species, and outlines presently implemented actions. Five major threats are identified: 1) Poaching 2) loss of prey 3) degradation, fragmentation and loss of habitat 4) conflict with herders 5) lack of public awareness. Actions to mitigate the five major threats are recommended and future conservation priorities are set.
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