Endangered Snow Leopard Panthera Uncia Research Articles

Spatial variation in population-density of snow leopards in a multiple use landscape in Spiti Valley, Trans-Himalaya.

The endangered snow leopard Panthera uncia occurs in human use landscapes in the mountains of South and Central Asia. Conservationists generally agree that snow leopards must be conserved through a land-sharing approach, rather than land-sparing in the form of strictly protected areas. Effective conservation through land-sharing requires a good understanding of how snow leopards respond to human use of the landscape. Snow leopard density is expected to show spatial variation within a landscape because of variation in the intensity of human use and the quality of habitat. However, snow leopards have been difficult to enumerate and monitor. Variation in the density of snow leopards remains undocumented, and the impact of human use on their populations is poorly understood. We examined spatial variation in snow leopard density in Spiti Valley, an important snow leopard landscape in India, via spatially explicit capture-recapture analysis of camera trap data. We camera trapped an area encompassing a minimum convex polygon of 953 km2. Our best model estimated an overall density of 0.5 (95% CI: 0.31–0.82) mature snow leopards per 100 km2. Using AIC, our best model showed the density of snow leopards to depend on estimated wild prey density, movement about activity centres to depend on altitude, and the expected number of encounters at the activity centre to depend on topography. Models that also used livestock biomass as a density covariate ranked second, but the effect of livestock was weak. Our results highlight the importance of maintaining high density pockets of wild prey populations in multiple-use landscapes to enhance snow leopard conservation.

The value of ecosystem services in the high altitude Spiti Valley, Indian Trans-Himalaya

The high mountain ranges of South and Central Asia are increasingly being exposed to large-scale development projects. These areas are home to traditional pastoralist communities and internationally important biodiversity including the endangered snow leopard Panthera uncia. Development projects rely on economic cost-benefit analysis, but the ecosystem services in the high Himalayas are poorly understood and are rarely accounted for. As a first step to fill this gap, we identified the main ecosystem services used by local people in the Trans-Himalayan Spiti Valley (7591 km2), a region important for conservation of snow leopards and high mountain biodiversity, and undertook an economic valuation. Stakeholders identified a range of services, though these were dominated by provisioning services identified by 90% of respondents. Only 5.4% of the respondents recognised regulatory services and 4.8% recognised cultural services. The mean economic value of provisioning services was estimated at US$ 3622 ± 149 HH−1 yr−1, which was 3.8 times higher than the average annual household income. Our results underscore the need to account for ecosystem services in the cost-benefit analyses of large-scale development projects in addition to assessments of their environmental and social impact.

The status of snow leopards Panthera uncia, and high altitude use by common leopards P. pardus, in north-west Yunnan, China

AbstractThe Endangered snow leopard Panthera uncia is a flagship species of mountainous Asia and a conservation priority. China is the most important country for the species’ conservation because it has the most potential habitat and the largest population of snow leopards. North-west Yunnan province in south-west China is at the edge of the snow leopard's range, and a biodiversity hotspot, where three major Asian rivers, the Yangtze, Mekong and Salween, flow off the Tibetan plateau and cut deep valleys through the Hengduan Mountains. The snow leopard's status in north-west Yunnan is uncertain. We conducted interviews and camera-trapping surveys to assess the species’ status at multiple sites: two east of the Yangtze River and two between the Yangtze and Mekong Rivers. Thirty-eight herders/nature reserve officials interviewed claimed that snow leopards were present, but in 6,300 camera-trap days we did not obtain any photographs of snow leopards, so if the species is present, it is rare. However, we obtained many photographs of potential prey, such as blue sheep Pseudois nayaur, as well as photographs of common leopards Panthera pardus, at high elevations (3,000–4,500 m). More study is necessary in Yunnan and other areas of south-west China to investigate the status and resource overlap of snow leopards and common leopards, especially as climate change is resulting in increases in common leopard habitat and decreases in snow leopard habitat.

Presence of the snow leopard Panthera uncia confirmed at four sites in the Chinese Tianshan Mountains

AbstractThe Endangered snow leopard Panthera uncia is a flagship species of mountainous central Asia, and a conservation concern. China has the largest extent of potential snow leopard habitat and is thus crucial for snow leopard conservation. There are many challenges to snow leopard conservation in China, however, and there is still little information on the species for many geographical locations, including the Tianshan Mountains of Xinjiang province, which are important because they potentially connect snow leopard populations in Krygyzstan and Kazakhstan with those in Mongolia. We used camera traps in four areas across eastern, central and western Tianshan, with a total survey effort of 3,216 camera-trapping days. We confirmed the presence of snow leopards and an abundance of potential snow leopard prey, including the Siberian ibex Capra sibirica, in all areas. We found 2–3 individual adult snow leopards at each site, with relatively limited survey effort, and more study is needed to fully investigate the importance of the Tianshan Mountains for the species. Establishing more protected areas is essential for snow leopard conservation, and we have used data from this study to apply for protected area status for several areas.

Conservation of snow leopards: spill-over benefits for other carnivores?

AbstractIn 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.

On the high trail: examining determinants of site use by the Endangered snow leopard Panthera uncia in Qilianshan, China

AbstractThere is a need for simple and robust techniques for assessment and monitoring of populations of the Endangered snow leopard Panthera uncia to inform the development of action plans for snow leopard conservation. We explored the use of occupancy modelling to evaluate the influence of environmental and anthropogenic features on snow leopard site-use patterns. We conducted a camera trap survey across 480 km2 in Gansu Province, China, and used data from 60 camera traps to estimate probabilities of site use and detection using the single season occupancy model. We assessed the influence of three covariates on site use by snow leopards: elevation, the presence of blue sheep Pseudois nayaur and the presence of human disturbance (distance to roads). We recorded 76 captures of snow leopards over 2,906 trap-days, representing a mean capture success of 2.62 captures per 100 trap-days. Elevation had the strongest influence on site use, with the probability of site use increasing with altitude, whereas the influence of presence of prey and distance to roads was relatively weak. Our findings indicate the need for practical and robust techniques to appraise determinants of site use by snow leopards, especially in the context of the limited resources available for such work.

Does livestock benefit or harm snow leopards?

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 leopards are often killed in retaliation against livestock depredation. Whether livestock, by forming an alternative 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 70sq. km) using ten camera traps in each site, deployed for a period of 60days. 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.

People, predators and perceptions: patterns of livestock depredation by snow leopards and wolves

Summary Livestock depredation by large carnivores is an important conservation and economic concern and conservation management would benefit from a better understanding of spatial variation and underlying causes of depredation events. Focusing on the endangered snow leopard Panthera uncia and the wolf Canis lupus, we identify the ecological factors that predispose areas within a landscape to livestock depredation. We also examine the potential mismatch between reality and human perceptions of livestock depredation by these carnivores whose survival is threatened due to persecution by pastoralists. We assessed the distribution of the snow leopard, wolf and wild ungulate prey through field surveys in the 4000 km2 Upper Spiti Landscape of trans‐Himalayan India. We interviewed local people in all 25 villages to assess the distribution of livestock and peoples' perceptions of the risk to livestock from these carnivores. We monitored village‐level livestock mortality over a 2‐year period to assess the actual level of livestock depredation. We quantified several possibly influential independent variables that together captured variation in topography, carnivore abundance and abundance and other attributes of livestock. We identified the key variables influencing livestock depredation using multiple logistic regressions and hierarchical partitioning. Our results revealed notable differences in livestock selectivity and ecological correlates of livestock depredation – both perceived and actual – by snow leopards and wolves. Stocking density of large‐bodied free‐ranging livestock (yaks and horses) best explained people's threat perception of livestock depredation by snow leopards, while actual livestock depredation was explained by the relative abundance of snow leopards and wild prey. In the case of wolves, peoples' perception was best explained by abundance of wolves, while actual depredation by wolves was explained by habitat structure. Synthesis and applications. Our results show that (i) human perceptions can be at odds with actual patterns of livestock depredation, (ii) increases in wild prey populations will intensify livestock depredation by snow leopards, and prey recovery programmes must be accompanied by measures to protect livestock, (iii) compensation or insurance programmes should target large‐bodied livestock in snow leopard habitats and (iv) sustained awareness programmes are much needed, especially for the wolf.

Snow leopard Panthera uncia predation on livestock and wild prey in a mountain valley in northern Nepal: implications for conservation management

The globally endangered snow leopard Panthera uncia is sparsely distributed throughout the rugged mountains in Asia. Its habit of preying on livestock poses a main challenge to management. In the remote Phu valley in northern Nepal, we obtained reliable information on livestock losses and estimated predator abundance and diet composition from DNA analysis and prey remains in scats. The annual diet consisted of 42% livestock. Among the wild prey, bharal (blue sheep/naur) Pseudois nayaur was by far the most common species (92%). Two independent abundance estimates suggested that there were six snow leopards in the valley during the course of our study. On average, each snow leopard killed about one livestock individual and two bharal per month. Predation loss of livestock estimated from prey remains in scats was 3.9%, which was in concordance with village records (4.0%). From a total count of bharal, the only large natural prey in the area and occurring at a density of 8.4 animals/km2 or about half the density of livestock, snow leopards were estimated to harvest 15.1% of the population annually. This predation rate approaches the natural, inherent recruitment rate of this species; in Phu the proportion of kids was estimated at 18.4%. High livestock losses have created a hostile attitude against the snow leopard and mitigation measures are needed. Among innovative management schemes now being implemented throughout the species' range, compensation and insurance programmes coupled with other incentive measures are encouraged, rather than measures to reduce the snow leopard's access to livestock. In areas like the Phu valley, where the natural prey base consists mainly of one ungulate species that is already heavily preyed upon, the latter approach, if implemented, will lead to increased predation on this prey, which over time may suppress numbers of both prey and predator.

Population monitoring of snow leopards using noninvasive collection of scat samples: a pilot study

AbstractThe endangered snow leopardPanthera unciaoccurs in rugged, high‐altitude regions of Central Asia. However, information on the status of this felid is limited in many areas. We conducted a pilot study to optimize moecular markers for the analysis of snow leopard scat samples and to examine the feasibility of using noninvasive genetic methods for monitoring this felid. We designed snow leopard‐specific primers for seven microsatellite loci that amplified shorter segments and avoided flanking sequences shared with repetitive elements. By redesigning primers we maximized genotyping success and minimized genotyping errors. In addition, we tested a Y chromosome‐marker for sex identification and designed a panel of mitochondrial DNA primers for examining genetic diversity of snow leopards using scat samples. We collected scats believed to be from snow leopards in three separate geographic regions including north‐western India, central China and southern Mongolia. We observed snow leopard scats in all three sites despite only brief 2‐day surveys in each area. There was a high rate of species misidentification in the field with up to 54% of snow leopard scats misidentified as red fox. The high rate of field misidentification suggests sign surveys incorporating scat likely overestimate snow leopard abundance. The highest ratio of snow leopard scats was observed in Ladakh (India) and South Gobi (Mongolia), where four and five snow leopards were detected, respectively. Our findings describe a species‐specific molecular panel for analysis of snow leopard scats, and highlight the efficacy of noninvasive genetic surveys for monitoring snow leopards. These methods enable large‐scale noninvasive studies that will provide information critical for conservation of snow leopards.