Abstract: Snow leopard inhabits the mountainous ecosystems from Tarbagatai to Hissar and Pamir. It feeds upon large animals such as ibex, argali, roe deer, and sometimes domestic sheep, rodents, and birds (most frequently snow cock). The skin of this animal is not of significant value and is rarely an item of trade. In many countries, zoos will readily buy snow leopards. There is no danger for a man to catch snow leopard since even being wounded during a hunt, the animal would never attack the man. An encounter with snow leopard in the mountains will always end safely for human being, as it is always first to spot a man and go away unnoticed.

Abstract: Snow Leopard Felis (Leopardus) uncia S c h r † b., 1778 is distributed in the mountains of Central Asia, Turkmenistan (very rare) and Turkestan, on Tarbagatay, Altay, Sayans and in Uriankhay area. Subspecies haven't been described. Body length is about 130 cm, tail length 90 cm.

Abstract: Reviews published information from the USSR vs past status of the snow leopard in various parts of its range within that country. Maps provide locations in the USSR of evidence of snow leopard occurence from published records of the species over the last 100 yrs.

Abstract: Reports the results of seven visits to Ladakh over past five years. The snow leopard occurs throughout Ladakh but is not common. Livestock are often taken in winter. At least five snow leopards were shot in the Suru Valley over the past five years. The pelt is worth about $350 in Srinagar.

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.