Abstract: Snow Leopards, in a genus of their own, are endangered big cats. They inhabit rugged,
mountainous terrain, in 12 range States – Afghanistan, Bhutan, China, India, Kazakhstan,
Kyrgyzstan, Mongolia, Nepal, Pakistan, the Russian Federation, Tajikistan and Uzbekistan.
There are regional differences in prey, but the cats' natural prey includes ungulates and rodents.
The global population of Snow Leopards is estimated to be between about 4000 and 7000, but
sharp declines in populations have been reported over the past decade from parts of the species's
range. High levels of hunting for the animals' skins and for live animals, for zoos, during the
last century contributed to the species's endangered status and, from the 1970s, legal measures
were taken for its protection. In 1975, the species was listed in Appendix I of CITES (the
Convention on International Trade in Endangered Species of Fauna and Flora) and in 1985 it
became an Appendix-I species of the Convention of Migratory Species. It has been accorded
nation-wide legal protection in almost every range State, in some cases since the 1970s. In spite
of such provision, Snow Leopards have been hunted during the 1990s in numbers as high as at
any time in the past and this killing continues in the present century. This report details the status of illegal poaching and trade in snow leopards in the late twentieth and early twenty-first centuries.

Abstract: Predatory mammal in mountains are submitted by widely widespread species, such, as wolves, to a lynx and bears, and characteristic species for the high mountains, well adapted to mountain conditions and not going down below Alpine zone (a snow leopard, or irbis, occupying mountains of the Central Asia, etc.).

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.