Abstract: Visual attractiveness and rarity often results in large carnivores being adopted as flagship
species for stimulating conservation awareness. Their hunting behaviour and prey selection
can affect the population dynamics of their prey, which in turn affects the population dynamics
of these large carnivores. Therefore, our understanding of their trophic ecology and foraging
strategies is important for predicting their population dynamics and consequently for
developing effective conservation programs. Here we concentrate on an endangered species
of carnivores, the snow leopard, in the Himalayas. Most previous studies on snow leopard
diet lack information on prey availability and/or did not genetically check, whether the
identification of snow leopard scats is correct, as their scats are similar to those of other
carnivores. We studied the prey of snow leopard in three Himalayan regions in Nepal
(Sagarmatha National Park (SNP), Lower Mustang (LM) and Upper Manang (UM) in the
Annapurna Conservation Area, during winter and summer in 2014�2016. We collected 268
scats along 139.3 km linear transects, of which 122 were genetically confirmed to belong to
snow leopard. Their diet was identified by comparing hairs in scats with our reference collection
of the hairs of potential prey. We determined prey availability using 32�48 camera-traps
and 4,567 trap nights. In the SNP, the most frequent prey in snow leopard faeces was the
Himalayan tahr in both winter and summer. In LM and UM, its main prey was blue sheep in
winter, but yak and goat in summer. In terms of relative biomass consumed, yak was the
main prey everywhere in both seasons. Snow leopard preferred large prey and avoided
small prey in summer but not in winter, with regional differences. It preferred domestic to
wild prey only in winter, and in SNP. Unlike most other studies carried out in the same area,
our study uses genetic methods for identifying the source of the scat. Studies solely based
on visual identification of samples may be strongly biased. Diet studies based on frequency
of occurrence of prey tend to overestimate the importance of small prey, which may be consumed
more often, but contribute less energy than large prey. However, even assessments
based on prey biomass are unlikely to be accurate as we do not know whether the actual
size of the prey consumed corresponds to the average size used to calculate the biomass
eaten. For example, large adults may be too difficult to catch and therefore mostly young animals are consumed, whose weight is much lower. We show that snow leopard consumes
a diverse range of prey, which varies both regionally and seasonally. We conclude that in
order to conserve snow leopards it is also necessary to conserve its main wild species of
prey, which will reduce the incidence of losses of livestock.

Abstract: Large carnivores commonly prey on livestock when their ranges overlap. Pastoralism is the dominant land use type across the distributional range of the endangered snow leopard Panthera uncia. Snow leop- ards are often killed in retaliation against livestock depredation. Whether livestock, by forming an alter- native prey, could potentially benefit snow leopards, or, whether livestock use of an area is detrimental to snow leopards is poorly understood. We examined snow leopard habitat use in a multiple use landscape that was comprised of sites varying in livestock abundance, wild prey abundance and human population size. We photographically sampled ten sites (average size 70 sq. km) using ten camera traps in each site, deployed for a period of 60 days. Snow leopard habitat use was computed as a Relative Use Index based on the total independent photographic captures and the number of snow leopard individuals captured at each site. We quantified livestock abundance, wild prey abundance, human population size and terrain ruggedness in each of the sites. Key variables influencing snow leopard habitat use were identified using Information Theory based model selection approach. Snow leopard habitat use was best explained by wild prey density, and showed a positive linear relationship with the abundance of wild ungulates. We found a hump-shaped relationship between snow leopard habitat use and livestock stocking density, with an initial increase in habitat use followed by a decline beyond a threshold of livestock density. Our results suggest that in the absence of direct persecution of snow leopards, livestock grazing and snow leopard habitat use are potentially compatible up to a certain threshold of livestock density, beyond which habitat use declines, presumably due to depressed wild ungulate abundance and associated anthropogenic disturbance.

Abstract: Loss of livestock to snow leopards Panthera Uncia is one of the primary concerns of subsistence herders' communities and one of the primary threats to conservation of this endsngered species throughout the alpine regions of the central Asia. Unless the relationship between snow leopards abd humans is better understood and appropriate strategies are applied, coexistence may not be sustainable. thus, to address this issue, WWF Nepal piloted a community-managed livestock insurance scheme in Ghunsa valley of Kangchenjunga Conservation Area simultaneously with various types of mitigation measures (i.e preventive and curative) We found significan advantages of the insurance scheme including that it is self-sustaining and locally managed thereby ensuring it is economically viable and effective in preventive retaliatory killing of snow leopards. The main strength of the insurance scheme is that it was designed and developed in close co-operation with the affected herders' communities. The communities start by designing a simple livestock insurance plan whereby owners contribute to a common fund that is later administered and managed at the local level, thus reducing likelihood of fraud. Benefit sharing of funds among subsistence herders' communities from income generating activities is on of the positive motivating tools for people towards snow leopards. Since initiated, snow leopard killings have gone from 1-3/year to 0/year for 3 years.

Abstract: Although abundance estimates have a strong bearing on the conservation status of a
species, less than 2% of the global snow leopard distribution range has been sampled
systematically, mostly in small survey areas. In order to estimate snow leopard density
across a large landscape, we collected 347 putative snow leopard scats from 246 transects
(490 km) in twenty-six 5
5km sized sampling grid cells within 4393 km2 in Annapurna-
Manaslu, Nepal. From 182 confirmed snow leopard scats, 81 were identified as belonging
to 34 individuals; the remaining were discarded for their low (<0.625) quality index. Using
maximum likelihood based spatial capture recapture analysis, we developed candidate
model sets to test effects of various covariates on density and detection of scats on transects.
The best models described the variation in density as a quadratic function of
elevation and detection as a linear function of topography. The average density estimate of
snow leopards for the area of interest within Nepal was 0.95 (SE 0.19) animals per 100 km2
(0.66e1.41 95% CL) with predicted densities varying between 0.1 and 1.9 in different parts,
thus highlighting the heterogeneity in densities as a function of habitat types. Our density
estimate was low compared to previous estimates from smaller study areas. Probably,
estimates from some of these areas were inflated due to locally high abundances in overlap
zones (hotspots) of neighboring individuals, whose territories probably range far beyond
study area borders. Our results highlight the need for a large-scale approach in snow
leopard monitoring, and we recommend that methodological problems related to spatial
scale are taken into account in future snow leopard research.

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.