Abstract: Though snow leopard is widely distributed in the Altai-Sayans ecologic region (the Krasnoyarsk region, Khakasia, Tuva, the Altai), it is still a rare and understudied species. Its total population in Khakasia is 10-12 animals, in the Altai 60-70 animals.

Abstract: Discusses distribution and habitat of snow leopard in India. Estimates population of 200-400 in entire Himalayan region. Reports seventeen occasions of observing snow leopards in the wild, one involving the killing of Himalayan thar. Discusses snow leopard hunting methods and food habits, and provides evidence of predation from examination of 17 snow leopard kills.

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.

Abstract: Snow leopard is met in the mountains of Turkistan, Altai, Bukhara, Pamir, Kashmir, and Tibet, and probably in South-East Siberia and along Sungari. In 1871, two animals were living in the Moscow Zoo Garden.

Abstract: Estimates a population of 170-230 snow leopard within an area of 6600 km2 in Southern Gobi

Abstract: Snow leopard is relatively common, but there is some destruction of its habitat in Northern Bhutan

Abstract: There is one subspecies U.u.uncia in Kazakhstan. It is distributed in the Tien Shan, Djungar Ala-Tau, Tarbagatai, Saur, South Altai, and preys mainly on ibex, roe deer, argali, and marmots. Its litter consists of one to five cubs (normally two three). Female bears once in two years.

Abstract: It describes the USSR's fauna species included in the Red Data Book and gives an assessment of endangered species conservation practices throughout the world. It says about ways and perspectives of conservation and rehabilitation of rare animals in the USSR. It provides brief information concerning snow leopard's biology, distribution, number, opportunities for captive breeding, and international conservation activities aimed to protect this species.

Abstract: It gives the description of genus Panthera: lion, tiger, leopard, jaguar and snow leopard. The mountains of Central Asia and South Siberia limit the habitat of snow leopard in the USSR. This species is also distributed in the Himalayas, Tibet, and mountains of Mongolia. In summer, it lives at 3,660 3,970 m above sea level, while in winter, following the ungulates; snow leopard descends to 1,800 m. In the Himalayas, it ascends up to 5,500 m above sea level in summer. In Djungar and Talas Ala-Tau, snow leopard keeps at 600 1,200 m. It takes refuge in caves and cracks of rocks. Snow leopard is mostly active in twilights and night, rarer in daylight, and preys on ungulates, hares, marmots, and others. The coupling period is winter or early spring. A gestation is about 90 days. It has 3 5 cubs in a litter.

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.