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Sludsky A.A. (1982). Genus Snow leopard Uncia Gray, 1854. Snow leopard Uncia uncia Schreber, 1775 (Vol. Vol. III, Part 2.).
Abstract: Snow leopard is rare and extinctive species that have scientific and aesthetic significance. The features of genus Uncia and species Uncia uncia are described. Also distribution, habitat, way of life, reproduction biology, behavioural patterns, migration routes, infections and parasites, enemies and competitors, number and number fluctuation, practical value of snow leopard in the Kazakhstan are given.
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Satunin K.A. (1905). Review of the Mammals in Trans Caspian region (Vol. Vol. 25, issue. 3.).
Abstract: Snow leopard Pardus uncia Schreber recorded in Trans Caspian region (in Sumbar rive) very rare and occasionally.
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Panwar, H. S. (1988). Report on the snow leopard research project of Wildlife Institute of India.
Abstract: Snow leopard survey conducted in Indian Himalayas between November 1985 and July 1986.
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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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Lavrov N.P. (1985). Snow leopard, or irbis.
Abstract: Snow leopard Uncia uncia Scheber, 1775, has status I, that is rare, non-numerous and endangered species. Information about its distribution, habitats, biology, number, existing and required conservation measures in the RSFSR and USSR is provided. Total population in the USSR is 800 1,000 animals.
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Matyushkin E.N. (1984). Snow leopard, or irbis Uncia uncia Scheber, 1775 (Vol. Vol.1.).
Abstract: Snow leopard Uncia uncia Scheber, 1775, was included in the Red Data Book of the USSR and given status III rare species with small habitat. It provides information about its distribution (from Pamir and West Tien Shan to East Sayans), habitat, biology, number, threats, and existing and required protection measures. Total number in the USSR is about 2,000 animals. There were 194 snow leopards in the zoos throughout the world at the beginning of 1980. In the USSR the species is under protection in nature reserves as follows: Ramit, Chatkal, Besh Aral, Aksu Jabagly, Sary Chelek, Almaty, Altai.
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Severtsov N.A. (1873). Travel within Turkestan region and mountain country Tien Shan survey.
Abstract: Snow leopard Felis irbis Ehrb inhabits in Tien Shan. Irbis was recorded in around of Issykul lake.
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Rode, J., Pelletier, A., Fumey, J., Rode, S., Cabanat, A. L., Ouvrard, A., Chaix, B., White, B., Harnden, M., Xuan, N. T., Vereshagin, A., Casane, D. (2020). Diachronic monitoring of snow leopards at Sarychat-Ertash State Reserve (Kyrgyzstan) through scat genotyping: a pilot study. bioRxiv, , 1–21.
Abstract: Snow leopards (Panthera uncia) are a keystone species of Central Asia’s high mountain ecosystem. The species is listed as vulnerable and is elusive, preventing accurate population assessments that could inform conservation actions. Non-invasive genetic monitoring conducted by citizen scientists offers avenues to provide key data on this species that would otherwise be inaccessible. From 2011 to 2015, OSI-Panthera citizen science expeditions tracked signs of presence of snow leopards along transects in the main valleys and crests of the Sarychat-Ertash State Reserve (Kyrgyzstan). Scat samples were genotyped at seven autosomal microsatellite loci and at a X/Y locus for sex identification, which allowed estimating a minimum of 11 individuals present in the reserve from 2011 to 2015. The genetic recapture of 7 of these individuals enabled diachronic monitoring, providing indications of individuals’ movements throughout the reserve. We found putative family relationships between several individuals. Our results demonstrate the potential of this citizen science program to get a precise description of a snow leopard population through time.
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Waits, L. P., Buckley-Beason, V. A., Johnson, W. E., Onorato, D., & McCarthy, T. (2006). A select panel of polymorphic microsatellite loci for individual identification of snow leopards (Panthera uncia)
(Vol. 7).
Abstract: Snow leopards (Panthera uncia) are elusive endangered carnivores found in remote mountain regions of Central Asia. New methods for identifying and counting snow leopards are needed for conservation and management efforts. To develop molecular genetic tools for individual identification of hair and faecal samples, we screened 50 microsatellite loci developed for the domestic cat (Felis catus) in 19 captive snow leopards. Forty-eight loci were polymorphic with numbers of alleles per locus ranging from two to 11. The probability of observing matching genotypes for unrelated individuals (2.1 x10-11) and siblings (7.5x10-5) using the 10 most polymorphic loci was low, suggesting that this panel would easily discriminate among individuals in the wild.
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Ismaili, R. R. R., Peng, X., Li., Y, Ali, A., Ahmad, T., Rahman, A. U., Ahmad, S., Shi, K. (2024). Modeling Habitat Suitability of Snow Leopards in Yanchiwan National Reserve, China. Animals, 14(1938), 1–21.
Abstract: Snow leopards (Panthera uncia) are elusive predators inhabiting high-altitude and mountainous rugged habitats. The current study was conducted in the Yanchiwan National Nature Reserve, Gansu Province, China, to assess the habitat suitability of snow leopards and identify key environmental factors inducing their distribution. Field data collected between 2019 and 2022 through scat sampling and camera trapping techniques provided insights into snow leopard habitat preferences. Spatial distribution and cluster analyses show distinct hotspots of high habitat suitability, mostly concentrated near mountainous landscapes. While altitude remains a critical determinant, with places above 3300 m showing increased habitat suitability, other factors such as soil type, human footprint, forest cover, prey availability, and human disturbance also play important roles. These variables influence ecological dynamics and are required to assess and manage snow leopard habitats. The MaxEnt model has helped us to better grasp these issues, particularly the enormous impact of human activities on habitat suitability. The current study highlights the importance of altitude in determining snow leopard habitat preferences and distribution patterns in the reserve. Furthermore, the study underscores the significance of considering elevation in conservation planning and management strategies for snow leopards, particularly in mountainous regions. By combining complete environmental data with innovative modeling tools, this study not only improves local conservation efforts but also serves as a model for similar wildlife conservation initiatives around the world. By understanding the environmental factors driving snow leopard distribution, conservation efforts can be more efficiently directed to ensure the long-term survival of this endangered species. This study provides valuable insights for evidence-based conservation efforts to safeguard the habitats of snow leopards amidst emerging anthropogenic pressure and environmental fluctuations.
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