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Shrestha, A., Thapa, K., Subba, S. A., Dhakal, M., Devkota, B. P., Thapa, G. J., Shrestha, S., Malla, S., Thapa, K. (2019). Cats, canines, and coexistence: dietary differentiation between the sympatric Snow Leopard and Grey Wolf in the western landscape of Nepal Himalaya. Journal of Threatened Taxa, 11(7), 13815–13821.
Abstract: Understanding the dietary habits of sympatric apex carnivores advances our knowledge of ecological processes and aids their conservation. We compared the diets of the sympatric Snow Leopard Panthera uncia and Grey Wolf Canis lupus using standard micro-histological analyses of scats collected from the western complex of Nepal Himalaya. Our study revealed one of the highest recorded contributions of livestock to the diet of top predators (55% for Grey Wolf and 39% for Snow Leopard) and high dietary overlap (0.82) indicating potential exploitative or interference competition. Their diet composition, however, varied significantly based on their consumption of wild and domestic prey. Limitation in data precludes predicting direction and outcome of inter-specific interactions between these predators. Our findings suggest a high rate of negative interaction with humans in the region and plausibly retaliatory killings of these imperilled predators. To ensure the sustained survival of these two apex carnivores, conservation measures should enhance populations of their wild prey species while reducing livestock losses of the local community through preventive and mitigative interventions.
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Augugliaro, C., Paniccia, C., Janchivlamdan, C., Monti, I. E., Boldbaatar, T., Munkhtsog, B. (2019). Mammal inventory in the Mongolian Gobi, with the southeasternmost documented record of the Snow Leopard, Panthera uncia (Schreber, 1775), in the country. Check List, 15(4), 575–578.
Abstract: Studies on mammal diversity and distribution are an important source to develop conservation and management strategies.
The area located in southern Mongolia, encompassing the Alashan Plateau Semi-Desert and the Eastern Gobi Desert-Steppe ecoregions, is considered strategic for the conservation of threatened species. We surveyed the non-volant mammals in the Small Gobi-A Strictly Protected Area (SPA) and its surroundings, by using camera trapping, live trapping, and occasional sightings. We recorded 18 mammal species belonging to 9 families and 6 orders. Among them, 4 are globally threatened or near-threatened, 2 are included in the CITES Appendix I, and 2 are listed in the Appendix II. Moreover, we provide the southeasternmost record for the Snow Leopard (Panthera uncia) in Mongolia, supported by photographic evidence. Our study highlights the importance of this protected area to preserve rare, threatened, and elusive species. |
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Farrington, J., Tsering, D. (2019). Human-snow leopard conflict in the Chang Tang region of Tibet, China. Biological Conservation, 237, 504–513.
Abstract: In April 2006, the authors conducted a preliminary human-wildlife conflict survey of 300 livestock herders in Shainza, Nyima, and Tsonyi Counties in northern Tibet's sparsely-populated Chang Tang region. This survey revealed a widespread but previously undocumented problem of snow leopard predation on livestock. In June and July 2007, an exploratory human-snow leopard conflict survey of 234 herders in the above counties found that 65.8% of respondents had experienced conflict with snow leopards in the form of livestock kills, with 77.3% of the most recent incidents occurring in the previous five years. These incidents were concentrated in winter and spring and a surprising 39.6% of incidents occurred during the day, often with herders present. Fifteen exploratory snow leopard sign transects totaling 14.85 km were conducted. Abundant snow leopard scrapes as well as pug marks were found, confirming the presence of these secretive cats. A total of 521 blue sheep were counted on and off sign transects indicating widespread availability of wild snow leopard prey. The recent surge in reported snow leopard conflict is likely due to increasing human and livestock populations, establishment of two multiple-use nature reserves accompanied by improved enforcement of wildlife protection laws, and a regional gun and trap ban launched in 2001. However, retaliatory killing of snow leopards in the survey area continues to be a potential threat. Therefore, measures are needed to reduce livestock kills by snow leopards, including corral improvements, improved guarding, establishment of livestock compensation schemes, and educating herders about snow leopard behavior.
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Kalashnikova, Y. A., Karnaukhov, A. S., Dubinin, M. Y., Poyarkov, A. D., Rozhnov, V. V. (2019). POTENTIAL HABITAT OF SNOW LEOPARD (PANTHERA UNCIA, FELINAE) IN SOUTH SIBERIA AND ADJACENT TERRITORIES BASED ON THE MAXIMUM ENTROPY DISTRIBUTION MODEL.98(3), 332–342.
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. |
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Suryawanshi, K. R., Khanyari, M., Sharma, K., Lkhagvajav, P., Mishra, C. (2019). Sampling bias in snow leopard population estimation studies. Population Eccology, , 1–9.
Abstract: Accurate assessments of the status of threatened species and their conservation
planning require reliable estimation of their global populations and robust monitoring of local population trends. We assessed the adequacy and suitability of studies in reliably estimating the global snow leopard (Panthera uncia) population. We compiled a dataset of all the peer-reviewed published literature on snow leopard population estimation. Metadata analysis showed estimates of snow leopard density to be a negative exponential function of area, suggesting that study areas have generally been too small for accurate density estimation, and sampling has often been biased towards the best habitats. Published studies are restricted to six of the 12 range countries, covering only 0.3�0.9% of the presumed global range of the species. Re-sampling of camera trap data from a relatively large study site (c.1684 km2) showed that small-sized study areas together with a bias towards good quality habitats in existing studies may have overestimated densities by up to five times. We conclude that current information is biased and inadequate for generating a reliable global population estimate of snow leopards. To develop a rigorous and useful baseline and to avoid pitfalls, there is an urgent need for (a) refinement of sampling and analytical protocols for population estimation of snow leopards (b) agreement and coordinated use of standardized sampling protocols amongst researchers and governments across the range, and (c) sampling larger and under-represented areas of the snow leopard's global range. |
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Chetri, M., Odden, M., Sharma, K., Flagstad, O., Wegge, P. (2019). Estimating snow leopard density using fecal DNA in a large landscape in north-central Nepal. Global Ecology and Conservation, (17), 1–8.
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. |
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Jamtsho, Y., Katel, O. (2019). Livestock depredation by snow leopard and Tibetan wolf: Implications for herders� livelihoods in Wangchuck Centennial National Park, Bhutan. Springer Open, (9:1), 1–10.
Abstract: Human-wildlife conflict (HWC) is a serious problem in many parts of the world, and Bhutan�s Wangchuck Centennial
National Park (WCNP) is no exception. Located in the remote alpine areas of the eastern Himalaya, wildlife species such as snow leopard (SL) and Tibetan wolf (TW) are reported to kill livestock in many parts of the Park. Such depredation is believed to have affected the livelihoods of high-altitude herding communities, resulting in conflicts between them. This study provides analysis on the extent of livestock depredation by wildlife predators such as SL and TW and examines its implications for the livelihoods of herding communities of Choekhortoe and Dhur regions of WCNP. Using semi-structured questionnaires, all herders (n = 38) in the study area were interviewed. The questions pertained to livestock population, frequency of depredation and income lost due to depredation in the last five years from 2012 to 2016. This study recorded 2,815 livestock heads in the study area, with an average herd size of 74.1 stock. The average herd size holding showed a decreasing trend over the years, and one of the reasons cited by the herders is depredation by SL and TW and other predators. This loss equated to an average annual financial loss equivalent to 10.2% (US$837) of their total per capita cash income. Such losses have resulted in negative impacts on herders� livelihood; e.g. six herders (2012-2016) even stopped rearing livestock and resorted to an alternate source of cash income. The livestock intensification programmes, including pasture improvement through allowing controlled burning, and financial compensation, may be some potential short-term solutions to reduce conflict between herders and predators. Issuing permits for cordyceps (Ophiocordyceps sinensis) collection only to the herders and instilling the sense of stewardship to highland herders may be one of the long-term solutions. |
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Maheshwari, A., Sathyakumar, S. (2019). Snow leopard stewardship in mitigating human-wildlife conflict in Hemis National Park, Ladakh, India. Human Dimensions of Wildlife, , 1–5.
Abstract: Among large predators, snow leopards (Panthera uncia) and co-predators (e.g., wolves
Canis lupus, lynx Lynx lynx) often cause economic losses, engendering animosity from local communities in the mountain ecosystem across south and central Asia (Din et al., 2017; Jackson & Lama, 2016; Maheshwari, Takpa, Kujur, & Shawl, 2010; Schaller, 2012). These economic losses range from around US $50 to nearly $300 per household, a significant sum given per capita annual incomes of $250 – $400 (Jackson & Wangchuk, 2004; Mishra, 1997). Recent efforts such as improved livestock husbandry practices (predator-proof livestock corrals – closed night shelters with covered roof with wiremesh and a closely fitting iron or wooden door that can be securely locked at night) and community-based ecotourism (e.g., home stays, guides, porters, pack animals, campsites) are providing alternative livelihood opportunities and mitigating large carnivores – human conflict in the snow leopard habitats (Hanson, Schutgens, & Baral, 2018; Jackson, 2015; Jackson & Lama, 2016; Vannelli, Hampton, Namgail, & Black, 2019). Snow leopard-based ecotourism provides an opportunity to secure livelihoods and reduce poverty of the communities living in ecotourism sites across Ladakh (Chandola, 2012; Jackson, 2015). To understand the role of snow leopard-based ecotourism in uplifting the financial profile of local communities, mitigating large carnivore – human conflict and eventually changing attitudes towards large carnivores in Hemis National Park, Ladakh, India, we compared the estimated financial gains of a snow leopard-based ecotourism to stated livestock predation losses by snow leopards and wolves. Keywords: Snow leopard; human-wildlife conflict; ecotourism; livelihood; India
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Hanson, J. H., Schutgens, M., Leader-Williams, N. (2019). What factors best explain attitudes to snow leopards in the Nepal Himalayas? PLoS ONE, , 1–19.
Abstract: The snow leopard Panthera uncia is a vulnerable wild felid native to mountainous regions of 12 Asian countries. It faces numerous overlapping threats, including killings by herders retaliating against livestock losses, the illegal wildlife trade, loss of prey and habitat, infra- structure, energy and mining developments, and climate change. The species ranges over large territories that often lie outside of protected areas (PA), so coexistence with human populations across its range is key to its persistence. Human attitudes to snow leopards may be an important factor to consider in reducing overlapping threats to this species. How- ever, this nexus has not been widely studied to date. Attitudes to snow leopard conserva- tion, including actors and interventions, may also be a significant aspect of coexistence. These have also received limited empirical attention. This study therefore explored human attitudes to snow leopards and to snow leopard conservation, the motivations for these atti- tudes and the individual factors that best explained them. Using systematic sampling, a quantitative questionnaire was administered to 705 households at two sites in the Nepal Himalayas: Sagarmatha National Park, with a less decentralised governance model, and Annapurna Conservation Area, with a more decentralised model. Linear regression models were the main form of analysis. Based on these, attitudes to snow leopard conservation emerged as the strongest influence on local attitudes to snow leopards, and vice versa. This was true in both PAs, despite their differing management regimes. Other important explana- tory factors included numbers of livestock owned, years of education, household livelihoods and age. Furthermore, a positive intrinsic motivation was the most common reason given by respondents to explain their attitudes to both snow leopards and snow leopard conservation. These findings demonstrate that, in addition to the usual suite of factors that influence atti- tudes to a species, the way in which its conservation is pursued and perceived also needs consideration. How the snow leopard is conserved may strongly influence its coexistence with local communities.
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Li, J., Weckworth, B. V., McCarthy, T. M., Liang, X., Liu, Y., Xing, R., Li, D., Zhang, Y., Xue, Y., Jackson, R., Xiao, L., Cheng, C., Li, S., Xu, F., Ma, M., Yang, X., Diao, K., Gao, Y., Song, D., Nowell, K., He, B., Li, Y., McCarthy, K., Paltsyn, M. Y., Sharma, K., Mishra, C., Schaller, G. B., Lu, Z., Beissinger, S. R. (2019). Defining priorities for global snow leopard conservation landscapes. Biological Conservation, 241(108387), 1–10.
Abstract: The snow leopard (Panthera uncia) is an apex predator on the Tibetan Plateau and in the surrounding mountain ranges. It is listed as Vulnerable in the IUCN's Red List. The large home range and low population densities of this species mandate range-wide conservation prioritization. Two efforts for range-wide snow leopard conservation planning have been conducted based on expert opinion, but both were constrained by limited knowledge and the difficulty of evaluating complex processes, such as connectivity across large landscapes. Here, we compile > 6000 snow leopard occurrence records from across its range and corresponding environmental covariates to build a model of global snow leopard habitat suitability. Using spatial prioritization tools, we identi!ed seven large continuous habitat patches as global snow leopard Landscape Conservation Units (LCUs). Each LCU faces differing threat levels from poaching, anthropogenic development, and climate change. We identi!ed ten po- tential inter-LCU linkages, and centrality analysis indicated that Tianshan-Pamir-Hindu Kush-Karakorum, Altai, and the linkage between them play a critical role in maintaining the global snow leopard habitat connectivity.
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