Abstract: The author provides information about snow leopard taxonomy, distribution, habitat and appearance. Biology of this animal is understudied. Snow leopard is able to make long jumps. It feeds upon ibex, wild sheep, marmots, partridge, and sometimes livestock, but never man. Gestation period is three months, at the end of May female gives birth to two or three cubs. Being very occasional, purchase of skin is of no practical value.

Abstract: The objectives of this handbook (First edition) are to provide standard procedures for conducting snow leopard status and distribution surveys; suggest uniform methods for assessing the status and relative abundance of large prey species (ungulates such as blue sheep, argali, markhor, Himalayan tahr, urial, ibex, red deer, and roe deer); offer guidance in evaluating habitat quality and identifying the major environmental factors affecting species welfare; and provide standard forms for reporting the results of these field surveys, and a process for feeding information developed by the International Snow Leopard Trust into Snoe Leopard Information Management System (SLIMS).

Abstract: This study conducted in the high altitude rangelands of Indian Transhimalaya, deals with basic questions regarding the ecology of an endangered species, the wildsheep Tibetan argali (Ovis ammon hodgsoni) and applied issues related to its conservation and potential conflict with the local nomadic pastoralists. The basic questions on ecology are aimed at delineating the habitat and resource selection processes, identifying factors causing sexual segregation and efficient surveying and sampling. The applied aspect focuses on the changing face of pastoralism and the potential impacts of modernising livestock husbandry on argali.
Overall, the study provides a general framework towards the understanding of argali-habitat relationships at different spatio-temporal scales. The spatial determinant associated with altitude in the area, predicts argali habitat and resource selection in this relatively homogenous landscape. These determine the range of other topographic variables and forage characteristics selected by argali. The selection of feeding patches in the selected range of altitude and topography is mainly characterised by their greenness and the quality of plant groups. Adjusting to changing forage quality, argali display an opportunistic feeding strategy, selecting grasses in early spring and switching to forbs later in summer. Nevertheless, the habitat selection process did not appear to differ among the sexes to drive sexual segregation. There was, however, strong segregation among the sexes as well as between lactating and non lactating females. The reasons for segregation appeared to be predominantly social, but driven ultimately by predation and concomitantly by resources. The habitat selection information was used to design a stratified random sampling strategy that led to i) a significant reduction in survey effort in sampling these sparsely distributed species and ii) reduction in sampling bias.
The applied aspect of the study outlines and evaluates the dramatic changes in the nomadic pastoralism that have occurred in the past five decades in the study area. These have led to a loss of pastures (-25 to -33%) of the nomads, consequent readjustment in traditional patterns of pasture use, intensified grazing pressures (25 to 70%) and rangeland degradation in the area. Such changes may have serious consequences on the survival of local wildlife, as tested with a study of the effects on argali of livestock presence and resource exploitation. Hence, a successful conservation and recovery strategy should focus on: minimising the impacts of livestock on argali, identifying the factors affecting the persistence of the current populations, increasing local sub populations of this species to prevent extinction due to stochastic events, prevent loss of genetic diversity and excessive fragmentation and thus ensuring gene flow.
Ecological Niche Factor Analyses (ENFA), bias-reduced logistic regression and Fuzzy correspondence analyses (FCA) were used to answer habitat and resource selection questions. A sexual segregation and aggregation statistic (SSAS) was used to estimate the components of sexual segregation and test segregation. SSAS combined with canonical correspondence analyses (CCA) allowed the estimation of segregation based on habitat variables. Logistic regression models were formulated to estimate models on which the stratified random sampling strategy was based. The 9 Animal – Habitat relationships in high altitude rangelands overall study also included surveys, interviews and literature reviews to understand the nomads’ movement and pasture use patterns of their livestock. Kernel density estimations (KDE) were used to estimate extent of range overlaps between livestock and argali.

Abstract: Book Title: Rangeland Stewardship in Central Asia: Balancing Improved Livelihoods, Biodiversity Conservation and Land Protection, 2012. Edited by Victor Squires. Published Springer Science+Business Media. 458 p. 91 illus., 61 in color.
Addressing human–wildlife conflict is an important requisite to managing
rangelands for livestock and wildlife. Despite high altitudes, aridity, and relatively
low primary productivity, the rangelands of Central Asia support a rich and diverse
biodiversity—including the endangered snow leopard that many herders perceive
as a predator to be eliminated. Conserving this and other wildlife species requires
carefully crafted interventions aimed at curbing depredation losses and/or reducing
competition for forage, along with offering locally sustainable, environmentally
friendly income-generating activities for supplementing pastoral household livelihoods.
This is best achieved through a combination of incentives designed to foster
sound rangeland and wildlife stewardship, along penalties or disincentives targeting
herders who violate mutually agreed rules and regulations (including grazing norms
and wildlife disturbance or poaching).
When working toward the harmonious coexistence of people and wildlife,
conservationists and rangeland practitioners need to seek the cooperation and
build goodwill among herders and other stakeholders, including local government
and private industry (especially the livestock production, mining, and tourism
sectors).

Abstract: Assessing species’ vulnerability to climate change is a prerequisite for developing effective strategies to reduce emerging climate-related threats. We used the maximum entropy algorithm (MaxEnt model) to assess potential changes in suitable snow leopard (Panthera uncia) habitat in Qinghai Province, China, under a mild climate change scenario. Our results showed that the area of suitable snow leopard habitat in Qinghai Province was 302,821 km2 under current conditions and 228,997 km2 under the 2050s climatic scenario, with a mean upward shift in elevation of 90 m. At present, nature reserves protect 38.78% of currently suitable habitat and will protect 42.56% of future suitable habitat. Current areas of climate refugia amounted to 212,341 km2 and are mainly distributed in the Sanjiangyuan region, Qilian mountains, and surrounding areas. Our results provide valuable information for formulating strategies to meet future conservation challenges brought on by climate stress. We suggest that conservation efforts in Qinghai Province should focus on protecting areas of climate refugia and on maintaining or building corridors when planning for future species management.

Abstract: In Uzbekistan, snow leopard can be found in the Turkistan and Gissar ridges, in the mountains of Zaami, and in the Kurama, Chatkal and Ugam ridges. Here it keeps at up to 3,000 4,000 m above sea level. Snow leopard feeds upon wild ungulates ibex and sheep, and sometimes attacks livestock but never man. A brief information concerning peculiarities of snow leopard biology and behavioral patterns is provided.

Abstract: The data on spreading, numbers and population density of snow leopard in Kazakhstan are given in this article. The total number of the snow leopard in Kazakhstan is evaluated in 100-110 individuals. The everywhere occurred numbers' reduction under the influence of the anthropogenic factors is observed. The snow leopard' inhabitation area varies from 20 to 120 square kilometers depending on its regions. Sex and composition of the population and its aggregative behavior are given. The dynamics of numbers and mortality are estimated.