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Espinosa-Aviles, D., Taylor, M. L., Del Rocio Reyes-Montes, M., & Pe'rez-Torrez, A. (2008). Molecular findings of disseminated histoplasmosis in two captive snow leopards (Uncia uncia) (Vol. 39).
Abstract: This paper reports two cases of disseminated histoplasmosis in captive snow leopards (Uncia uncia). Histoplasmosis was diagnosed based on histopathology, immunohistochemistry, transmission electron microscopy, and molecular findings.
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Kolbintsev V.G. (2001). Modern status of endangered vertebrates in Aksu Jabagly nature reserve (Vol. Vol.8.).
Abstract: Data on number of several endangered vertebrates inhabiting in Aksu Jabagly nature reserve in 1990-2000 are given. Number of snow leopard is rather stable and evaluated as 2-3 pairs.
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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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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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(1978). Miraki Reservation, Chatkal Reservation.
Abstract: It describes history of the Miraki and Chatkal nature reserves' establishment and provides data concerning area, landscapes, altitude zoning, flora and fauna as well as natural monuments.
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Bykova E.A. (2004). Method of questionnaire design used for the collecting of primary data on threatened species with the example of snow leopard.
Abstract: Method of questionnaire design is used for long time successfully in the various fields of zoological research. This method is most significant for the collecting of data on threatened species. It can be applied together with standard inquest and survey methods without taking remarkable financial and temporal expenses. Such data can be assigned as the base for further planning of scientific investigations of the threatened species. In the result of survey, there were gathered 96 records of Snow Leopard and its tracks of the vital functions on Ugam, Pskem, Chatkal, Turkestan and Hissar ridges. Majority of records was made on Hissar ridge either on the area of Hissar reserve, either outside of protected area. There was collected data on distribution of Snow Leopard in Uzbekistan, on its territorial and food behavior, cases and causes of poaching. As a conclusion, it seems to be rational to use the method of questionnaire design among rangers of protected areas and local inhabitants for the collecting of primary information on threatened animal species. It would be optimal to gather such data every 3-4 years that would allow receiving the fresh comparable year-by-year information. Interpretation of questionnaire data should be made with certain prudence, taking into account subjectivity of collected information. Therefore during gathering of questionnaire data it is desirable personal attendance of researcher for more accurate definition of answers on the presented questions.
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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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Plakhov K.N. (2002). Menzbier's marmot in Kazakhstan.
Abstract: Menzbier's marmot is preyed on by snow leopard, bear, wolf, fox, bearded vulture, golden eagle, black vulture, and raven. A harm caused by the predators to the Kazakhstan population of marmot made up 2,000 3,000 in 2001.
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Seneca Park Zoo. Meat loan saves leopard.
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Kaletskiy A.A. (1974). May-“traven”.
Abstract: Diverse flora and fauna and seasonal phenomena in nature are stated in a popular form. Snow leopard is noticed to be a rare species, its population being significantly influenced by catching for zoos: over 400 snow leopards have been caught for this purpose over the last 35 years.
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