Abstract: The snow leopard (Panthera uncia) and blue sheep (Pseudois nayaur) are the inhabitants of remote areas at higher altitudes with extreme geographic and climatic conditions. The habitats of these least-studied species are crucial for sustaining the Himalayan ecosystem. We employed the Maximum Entropy (MaxEnt) species distribution model to predict the potential habitat suitability of snow leopards and blue sheep and extracted common overlapped niches. For this, we utilised presence location, bio-climatic and environmental variables, and correlation analysis was applied to reduce the negative impact of multicollinearity. A total of 134 presence locations of snow leopards and 64 for blue sheep were selected from the Global Biodiversity Information Facility (GBIF). The annual mean temperature (Bio1) was found to be the most useful and highly influential factor to predict the potential habitat suitability of snow leopards. Annual mean temperature, annual precipitation and isothermality were the major influencing factors for blue sheep habitat suitability. Highly influential bio-climatic, topographic and environmental variables were integrated to construct the model for predicting habitat suitability. The area under the curve (AUC) values for snow leopard (0.87) and blue sheep (0.82) showed that the models are under good representation. Of the total area investigated, 47% was suitable for the blue sheep and 38% for the snow leopards. Spatial habitat assessment revealed that nearly 11% area from the predicted suitable habitat class of both species was spatially matched (overlapped), 48.6% area was unsuitable under niche overlap and 40.5% area was spatially mismatched niche. The presence of snow leopards and blue sheep in some highly suitable areas was not observed, yet such areas have the potential to sustain these elusive species. The other geographical regions interested in exploring habitat suitability may find the methodological framework adopted in this study useful for formulating an effective conservation policy and management strategy.

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: The snow leopard (Uncia uncial Schreber, 1776) is the most poorly studied species of the cat family in the world and, in particular, in Russia, where the northern periphery of the species area (no more than 3% of it) is located in the Altai-Hangai-Sayan range [1]. It is generally known that the existing data on the Russian part of the snow leopard population have never been a result of targeted studies; at best, they have been based on recording the traces of the snow leopard vital activity [2]. This is explained by the snow leopard's elusive behavior, inaccessibility of its habitats for humans, and its naturally small total numbers in the entire species area. All published data on the population status of the snow leopard in Russia, from the first descriptions of the species [3-6] to the latest studies [7, 8] are subjective, often speculative, and are not confirmed by
quantitative estimates. It is obvious, however, that every accurate observation of this animal is of particular interest [9]. The purpose of our study was to determine the structure and size of the population group presumably inhabiting the Western Sayan mountain ridge at the northern boundary of the species area