Abstract: The elusive Central Asian snow leopard steps into a risk-filled future.

Abstract: As an important part of the ecosystem in the world, the wild are highly sensitive to impel the public to pay an increasing attention to the vertebrates and their habitats. The region from Xinjiang to Central Asian countries and from north China to Mongolia, explored less by zoologists. The region is mainly consisted of deserts and high mountain ranges many lakes and rivers that provide the suitable habitats for wildlife. These are actually unknown. Conservation in the modern sense is a very important part of development, especially in the Western Development of China. This paper deals with the species diversity and vertebrates' conservation in Xinjiang. Since 1980, over 20 Iocal nature reserves and 4 nationaI nature reserves have been established in Xinjiang. There are about 700 vertebrate species (in 5 classesœª37 ordersœr97 familiesœª196 genera) in Xinjiang. These cover about 134 species of mammalsœª392­® 430 species of birdsœr40­® 45 species of reptilesœª6­® 7 species of amphibians and 93­® 120 fishes. With the rapid economic development, some protected areas exist only in name. The areas are not only havens for wild species, but also maintain ecological benefits. Xinjiang is a very special region in China. The wild animals are different from those in other provinces along the east coast and in the interior. There are many questions about the conservation of wild animals in Xinjiang, e.g. the threatened species distinguishing, distribution and management, etc. So the paper is for reference only to the Great Development of Western China.

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.