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: China may hold a greater proportion of the global snow leopard Panthera uncia population than any other country, with the area of good quality suitable habitat, estimated at nearly 300,000 km2, comprising .50% of that available across the species' entire range. We can now reconfirm the presence of snow leopard in the Taxkurgan area of Xinjiang Province in north-west China after a period of 20 years.

Abstract: In this paper, we assess local perceptions towards snow leopards in North West China using a framework
depicting key conflict domains. We describe the perceived threats posed to humans by the snow leopard
and set them within beliefs and attitudes towards other species within the large carnivore assemblage in
this region. Surveys were conducted in seven villages within Qilianshan National Nature Reserve, Gansu
Province, China, to document reports of snow leopard (Panthera uncia), grey wolf (Canis lupus), Eurasian
lynx (Lynx lynx) and brown bear (Ursus arctos) depredation of livestock, and local attitudes towards each
species. Questionnaire-based interviews were held with 60 households and 49 livestock herders. Herding
of yak, sheep and goats was found to be a common livelihood activity among households in all villages.
Herders reported losing livestock to all four carnivore species. Herders reported that depredation was the
most common event affecting livestock, compared with natural disasters or disease, and represented a
total loss of 3.6% of the livestock population during the previous year. Most (53%) depredation losses were
attributed to lynx, while snow leopards were held responsible for only 7.8% of depredation losses. The
reported impact of snow leopards on herding activities was relatively small and the majority of both
householders and herders expressed positive attitudes towards them and supported measures for their
protection. Households and herders held negative attitudes towards lynx, wolves and bears, however,
most likely due to their perceived threat to livestock and humans. Understanding community perceptions
of threats posed by wildlife is vital for gaining community support for, and engagement in, conflict
mitigation.

Abstract: In high-altitude settings of Central Asia the
Endangered snow leopard Panthera uncia has been recognized
as a potential umbrella species. As a first step in assessing
the potential benefits of snow leopard conservation for
other carnivores, we sought a better understanding of the
presence of other carnivores in areas occupied by snow leopards
in China’s Qilianshan National Nature Reserve. We
used camera-trap and sign surveys to examine whether
other carnivores were using the same travel routes as snow
leopards at two spatial scales. We also considered temporal
interactions between species. Our results confirm that other
carnivores, including the red fox Vulpes vulpes, grey wolf
Canis lupus, Eurasian lynx Lynx lynx and dhole Cuon alpinus,
occur along snow leopard travel routes, albeit with low detection
rates. Even at the smaller scale of our camera trap survey
all five carnivores (snow leopard, lynx, wolf, red fox and
dhole) were observed. Kernel density estimates suggested a
high degree of temporal overlap between the snow leopard
and the fox, and the snow leopard and the lynx, as indicated
by high overlap coefficient estimates. There is an opportunity
to consider protective measures at the local scale that would
benefit various species simultaneously. However, it should
also be recognized that snow leopard conservation efforts
could exacerbate human–wildlife conflicts through their protective
effect on other carnivore species.

Abstract: Replicated multiple scale species distribution models (SDMs)
have become increasingly important to identify the correct variables
determining species distribution and their influences on ecological
responses. This study explores multi-scale habitat relationships of the
snow leopard (Panthera uncia) in two study areas on the Qinghai–Tibetan
Plateau of western China. Our primary objectives were to evaluate the
degree to which snow leopard habitat relationships, expressed by
predictors, scales of response, and magnitude of effects, were
consistent across study areas or locally landcape-specific. We coupled
univariate scale optimization and the maximum entropy algorithm to
produce multivariate SDMs, inferring the relative suitability for the
species by ensembling top performing models. We optimized the SDMs based
on average omission rate across the top models and ensembles’ overlap
with a simulated reference model. Comparison of SDMs in the two study
areas highlighted landscape-specific responses to limiting factors.
These were dependent on the effects of the hydrological network,
anthropogenic features, topographic complexity, and the heterogeneity of
the landcover patch mosaic. Overall, even accounting for specific local
differences, we found general landscape attributes associated with snow
leopard ecological requirements, consisting of a positive association
with uplands and ridges, aggregated low-contrast landscapes, and large
extents of grassy and herbaceous vegetation. As a means to evaluate the
performance of two bias correction methods, we explored their effects on
three datasets showing a range of bias intensities. The performance of
corrections depends on the bias intensity; however, density kernels
offered a reliable correction strategy under all circumstances. This
study reveals the multi-scale response of snow leopards to environmental
attributes and confirms the role of meta-replicated study designs for
the identification of spatially varying limiting factors. Furthermore,
this study makes important contributions to the ongoing discussion about
the best approaches for sampling bias correction.