Abstract: Between 1998 and 2001 I carried out surveys in four areas in the Baltistan district of the Northern Areas of Pakistan to estimate the population of the snow leopard and to examine the threats to its future conservation. I estimate that a total of 36-50 snow leopards are present in the areas surveyed. Based on the availability of suitable snow leopard habitat and of its prey species, I estimate that 90-120 snow leopards are potentially present in Baltistan and 300-420 throughout its range within Pakistan's borders. Although this estimate is higher than extrapolations based on earlier surveys, the long-term future of the snow leopard is under threat. This is mainly due to retaliatory killings by farmers, and poaching for pelts and other body parts. Species-focused conservation policies, particularly those targeting ungulates for the promotion of trophy hunting, may constitute an additional threat to snow leopard conservation in the region. However, all forms of threats to the snow leopard in Baltistan appear to emanate from the relatively poor economic conditions of the local people.

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.