Abstract: For the past two decades, the Manang or Nyeshang Valley has become one of the most popular
trekking routes in Nepal, attracting over 15,000 trekkers annually (Ale, 2001). The 21-day
circular trek takes the visitor from the lush southern slopes of the Annapurna massif around to
its dry northern slopes more reminiscent of Tibet, through a landscape of spectacular mountain
scenes, interesting villages and diverse cultures. The Manang region also offers prime habitat
for the endangered snow leopard, supporting an estimated 4.8 – 6.7 snow leopards per 100 sq.
km (Oli 1992). This high density has been attributed to the abundance of blue sheep, the snow
leopard's primary large prey species across the Himalayan Mountains and Tibetan Plateau.

Abstract: Uncia uncia is one of the rare large species on the brink of extinction in Felidae in the world, and inhabit only the Central Asian mountains. It is said that there are currently only 4500-7300 Uncia uncia surviving. During the period from September 2004 to July 2005, the habitat selection of Uncia uncia was investigated in some mountains in Xinjiang, including the eastern Tianshan Mountains, Beita Mountains, Altay Mounts and Mount Tumor National Nature Reserve. In several months of fieldwork, we got 171 sign samples of Uncia uncia and 123 random samples in total. Five habitat features, i.e., the elevation, topographic features, vegetation type, grazing status and ruggedness, are selected to compare the difference of selectivity of the Uncia uncia habitat selection. The Chi-square goodness-of-fit test and the binomial test are used to check the significance of Uncia uncia habitat selection, and the principal component analysis is used to find the primary factors in in the selection. The result s are as follows : (1) Uncia uncia selected all kinds of the habitat types , especially the elevation , topography , vegetation types and ruggedness ; (2) Ruggedness and the vegetation types are the preliminary factors for the habitat selection. Topography is the secondary factor ; (3) Uncia uncia prefer to inhabit in the rugged habitat s with moderate shrubberies , and they also like to leave signs in valley bottoms rather than hillsides.

Abstract: Habitat selection of Snow Leopard ( Unica unica) in Beita Mountain of the Altay Mountain system in northeast Xinjiang was conducted from September to October 2004. Six habitat features of 59 sites used by Snow Leopard and 30 random plots were measured by locating 15 transects surveys in the study area . Vanderploge and Scaviaps selectivity index was used to assess Snow Leopardps selection for the different habitat parameters. Principal Component Analysis was used as the primary factor . The results indicated that Snow Leopard preferred the altitude between 2000 – 2 200 m and avoided 2 600 – 3 000 m ; selected cliff base , ridgeline and avoided hillside and valley bottom ; utilized the shrub and rejected the forest ; selected the nongrazing area and avoided the slightly broken region ; preferred north orientation and rejected the south orientation. The results show that grazing status , vegetation type , topography and the ruggedness are the primary factors for the habitat selection of Snow Leopard.

Abstract: It describes Felidae family species (lion, tiger, leopard, snow leopard, lynx, cheetah): identification features, life-history characteristics, type of habitat, diet and distribution.

Abstract: A description of snow leopard, its taxonomy, distribution, habitat, number, behavior, food, reproduction, parasites, infections, and practical importance is given. In Kyrgyzstan, irbis was found in the Chatkal, Kyrgyz, Talas ridges, and Terskei Alatoo. An official annual snow leopard hunting rate ranged from 10 (1955) to 54 skins (in 1936) in 1930-s through 1950-s. 17 snow leopards were caught for the purpose of zoo-export only in 1965-1966. Its skin has no special value and is used by local people for decoration of dwellings and making collars.

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.

Abstract: This documents contains a review of the snow leopard's distribution, status and habitat in Mongolia, describes threats and conservation needs of the species, and outlines presently implemented actions. Five major threats are identified: 1) Poaching 2) loss of prey 3) degradation, fragmentation and loss of habitat 4) conflict with herders 5) lack of public awareness. Actions to mitigate the five major threats are recommended and future conservation priorities are set.

Abstract: The enchanting state of Uttaranchal, carved out of Uttar Pradesh on 9th November 2000, has a total area of ca. 53,485 km2 with a population density of 160 persons/ km2, much lower than the national average of 324/km2. This young state can take pride in the fact that 13.42% of its area is under protected areas. The state has varied landscapes: snow-capped and conifer forest covered mountains in the north, forest covered foothills with numerous perennial rivers and streams, locally known as the bhabar tract which includes the Himalayan foothills and the Shivalik range. As a result, the land is home to a variety of fascinating wildlife such as the golden mahseer (Tor putitora), king cobra (Ophiophagus hanna), Himalayan monal (Lophophorus impejanus), great hornbill (Buceros bicornis), Himalayan tahr (Hemitragus jemlahicus), bharal (Pseudois nayaur), Himalayan musk deer (Moschus chrysogaster), goral (Nemorhaedus goral), elephant (Elephas maximus), snow leopard (Panthera uncia), leopard (P. pardus), black bear (Ursus thibetanus), and tiger (P. tigris). All across their range, most of these species are endangered. The potential of this state, with about 800 kilometers of riverine habitat, can only be surpassed by Arunachal Pradesh in terms of golden mahseer conservation. The mountains, bedecked with the scarlet flowers of rhododendron (Rhododendron arboreum) in the summer months, can be a veritable home to many forms of pheasants, mountain ungulates and carnivores, provided poaching for trade is eliminated and hunting for the pot is brought under control. The bhabar forests of this state, ca. 7,500 km2, extending between Yamuna and Sharda rivers (Fig. 1.), can easily support a population of about 1000 elephants and 200 tigers as long as this large habitat, now fragmented in three blocks, is managed and protected as one continuous habitat for wildlife. Six villages, gujjar settlements and encroachments need to be moved away from the main wildlife habitat which goes along the bhabar tract. Although the conservation of these habitats can eventually bring in immense benefits through well-planned ecotourism programmes that are rapidly catching up in the state, initial conservation efforts would need a substantial amount of funds.

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.