Abstract: The Snow leopard (Panthera uncia) is one of the most threatened wild big cats within its range of distribution, however, the question of its systematic status is a matter of debate. Is it a member of genus Panthera, or is it in its own genus (Uncia)? The analysis of genetic difference at the DNA level may provide useful data to clarify the issue. In the present study, ten hexanucleotide-specific restriction endonucleases were used to evaluate the patterns of mitochondrial DNA variation between the Snow leopard and leopard (P. pardus). The molecular size of mtDNA from the two species was about 16.5 kb. Ten enzymes surveyed 32-34 restriction sites, which corresponded to 192 apprx 204 base pairs, or 1.16% apprx 1.24% of the total mtDNA molecule. A total of 45 restriction sites were mapped; of these sites, twenty-four, which correspond to 53.3% of the total sites, were variable. The sequence divergence between them was 0.075 33, which was undoubtedly in the species-level distinction but did not reach the genus level. Therefore, the Snow leopard should be placed in the genus Panthera rather than in its own ganus. It also seems reasonable to recognize Uncia as a valid subgenus. This conclusion not only support but also supplement the viewpoint of Simpson who treated Uncia as a subgenus within Panthera.

Abstract: Considerable efforts have been devoted to conserving the snow leopard Panthera uncia in recent years, but progress has inevitably been slow due to the difficulties of studying a sparsely distributed, secretive and endangered species in often isolated mountainous terrain. Although knowledge about the species overall distribution in the highlands of Central Asia still remains fragmenatry, it is important to briefly examine all the available information in order to review measures taken to date to conserve the species through the protected areas network. The purpose of this paper is to examine the distribution and status of protected areas inhabited or visited by snow leopard in relation to the species' distribution and highlight deficiences in the present network.

Abstract: The snow leopard (Panthera uncia) inhabits a human-altered alpine landscape and is often tolerated by residents in regions where the dominant religion is Tibetan Buddhism, including in Qomolangma NNR on the northern side of the Chinese Himalayas. Despite these positive attitudes, many decades of rapid economic development and population growth can cause increasing disturbance to the snow leopards, altering their habitat use patterns and ultimately impacting their conservation. We adopted a dynamic landscape ecology perspective and used multi-scale technique and occupancy model to better understand snow leopard habitat use and coexistence with humans in an 825 km2 communal landscape. We ranked eight hypothetical models containing potential natural and anthropogenic drivers of habitat use and compared them between summer and winter seasons within a year. HABITAT was the optimal model in winter, whereas ANTHROPOGENIC INFLUENCE was the top ranking in summer (AICcw≤2). Overall, model performance was better in the winter than in the summer, suggesting that perhaps some latent summer covariates were not measured. Among the individual variables, terrain ruggedness strongly affected snow leopard habitat use in the winter, but not in the summer. Univariate modeling suggested snow leopards prefer to use rugged land in winter with a broad scale (4000 m focal radius) but with a lesser scale in summer (30 m); Snow leopards preferred habitat with a slope of 22° at a scale of 1000 m throughout both seasons, which is possibly correlated with prey occurrence. Furthermore, all covariates mentioned above showed inextricable ties with human activities (presence of settlements and grazing intensity). Our findings show that multiple sources of anthropogenic activity have complex connections with snow leopard habitat use, even under low human density when anthropogenic activities are sparsely distributed across a vast landscape. This study is also valuable for habitat use research in the future, especially regarding covariate selection for finite sample sizes in inaccessible terrain.

Abstract: Animal-borne tracking devices have generated a wealth of new knowledge, allowing us to better understand, manage and conserve species. Fitting such tracking devices requires that animals are captured and often chemically immobilized. Such procedures cause stress and involve the risk of injuries and loss of life even in healthy individuals. For telemetry studies to be justifiable, it is vital that capture operations are planned and executed in an efficient and ethical way. Project objectives must be clearly articulated to address well-defined knowledge gaps, and studies designed to maximize the probability of achieving those goals. We provide guidelines for how to plan, design, and implement telemetry studies with a special emphasis on snow leopards that are typically captured using foot snares. We also describe the necessary steps to ensure that captures are conducted safely, and with minimal stress to animals.