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: When densities of large carnivores fall below certain thresholds, dramatic ecological effects
can follow, leading to oversimplified ecosystems. Understanding the population status of
such species remains a major challenge as they occur in low densities and their ranges are
wide. This paper describes the use of non-invasive data collection techniques combined
with recent spatial capture-recapture methods to estimate the density of snow leopards
Panthera uncia. It also investigates the influence of environmental and human activity indicators
on their spatial distribution. A total of 60 camera traps were systematically set up during
a three-month period over a 480 km2 study area in Qilianshan National Nature Reserve,
Gansu Province, China. We recorded 76 separate snow leopard captures over 2,906 trapdays,
representing an average capture success of 2.62 captures/100 trap-days. We identified
a total number of 20 unique individuals from photographs and estimated snow leopard
density at 3.31 (SE = 1.01) individuals per 100 km2. Results of our simulation exercise indicate
that our estimates from the Spatial Capture Recapture models were not optimal to
respect to bias and precision (RMSEs for density parameters less or equal to 0.87). Our
results underline the critical challenge in achieving sufficient sample sizes of snow leopard
captures and recaptures. Possible performance improvements are discussed, principally by
optimising effective camera capture and photographic data quality.

Abstract: Molecular markers that can effectively identify noninvasively collected samples and provide genetic
information are critical for understanding the distribution, status, and ecology of snow leopards (Panthera uncia). However, the low DNA quantity and quality in many
noninvasive samples such as scats makes PCR amplification and genotyping challenging. We therefore designed primers for 9 microsatellites loci previously isolated in the
domestic cat (Felis catus) specifically for snow leopard studies using noninvasive samples. The loci showed moderate levels of variation in two Mongolian snow leopard
populations. Combined with seven other loci that we previously described, they have sufficient variation (He = 0.504, An = 3.6) for individual identification and
population structure analysis. We designed a species species specific PCR assay using cytochrome b for identification of unknown snow leopard samples. These molecular markers
facilitate in depth studies to assess distribution, abundance, population structure, and landscape connectivity of this endangered species.
endangered species

Abstract: Managing wildlife-caused damage to human interests has become an important aspect of contemporary conservation management. Conflicts between pastoralism and carnivore conservation over livestock depredation pose a serious challenge to endangered carnivores worldwide, and have become an important livelihood concern locally. Here, we first review the primary causes of these conflicts, their socio-ecological correlates, and commonly employed mitigation measures. We then describe a community-based program to manage conflicts over livestock depredation by snow leopards Panthera uncia and wolves Canis lupus. A threats-based conceptual model of conflict management is presented. Conflicts over livestock depredation are characterized by complex, multi-scale interactions between carnivore and livestock behavioral ecology, animal husbandry, human psyche, culture, world-views, and socio-economic and education levels of affected peoples. A diversity of commonly employed conflict-mitigation measures is available. They aim at (i) reducing livestock depredation through better livestock herding, use of physical, chemical or psychological barriers, removal of carnivores, and use of livestock guard animals, (ii) offsetting economic losses through damage compensation and insurance programmes, and (iii) increasing peoples’ tolerance of carnivores through indirect approaches such as conservation education and economic incentives. For effective management, conflicts need to be understood along two important dimensions, viz., the reality of damage caused to humans, and the psyche and perceptions of humans who suffer wildlife caused damage. The efficacy of commonly used mitigation measures is variable. A combination of measures that reduce the level of livestock depredation, share or offset economic losses, and improve the social carrying capacity for carnivores will be more effective in managing conflicts than standalone measures

Abstract: The snow leopard is an endangered large felid inhabiting highlands of 12 Asian countries. It is distributed
across vast territories and adequate modern methods are required for mapping its potential habitats. The goal
of the present study is to create a model of snow leopard potential habitat within the northern part of its range
in Russia (and adjacent territories of Mongolia, China and Kazakhstan). More than 5 years of observations
(total number of presence points = 449), environmental variables and the maximum entropy distribution
method (Maxent) are used. The resulting map demonstrates that a suitable habitat (probability of the animal�s
presence between 0.5 and 1) of the northern population of snow leopard in Russia occupies 16500 km2
with a buffer of transient territories (probability between 0.25 and 0.49) covering 32800 km2. Most of a suitable
habitat within the study area is associated with the Altai Mountains, Western Sayan Mountains, Sangilen
Plateau, Tsagan-Shibetu and Shapshal. One third of the suitable habitat lies within areas of a varying protection
status. The results of modeling are of importance both for scientists and conservation managers, as they
allow for leopard occurrence to be predicted, supporting research on and the conservation of the species.