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Braden, K. E. (1988). Economic Development in Six Regions of Snow Leopard Habitat in the U.S.S.R. In H.Freeman (Ed.), (pp. 227–246). India: International Snow Leopard Trust and the Wildlife Institute of India.
Abstract: The Disappearance of traditional ungulate prey of the snow leopard may be contributing to its endangered status in the wild. Soviet biologists have noted that wild sheep are a primary prey of the snow leopard in the southern Russian union republic and the Central Asian union republic of the U.S.S.R. While poaching appears to have had some impact on the status of these sheep, econmic pressures may be contributing to their decrease. Evidence presented for KAzakhstan and three regions of the Russian republic demonstrates that commercial sheep and goat production appears to be growing at a very high pace in these areas, thus consumming habitat otherwise available for wild herds.
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Dhungel, S. (1994). Conservation of the Snow Leopard in Nepal. In J. L. Fox, & D. Jezing (Eds.), (pp. 47–50). Usa: Islt.
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Prasad, S. N., Chundawat, R. S., Hunter, D. O., Panwar, H. S., & Rawat, G. S. (1991). Remote sensing snow leopard habitat in the trans-Himalaya of India using spatial models and satellite imagery preliminary results. In G. J. Buhyoff (Ed.), (pp. 519–523).
Abstract: The snow leopard (Panthera uncia) is a flagship species for conservation in the high mountain regions of central Asia. Data on snow leopard predation, habitat conditions and range of main prey species were gathered along with thematic maps of the study area for elevation, snow cover, sighting data, kill data, blue sheep use areas, and vegetation data. These data were entered into a GIS and used to help delineate surface features from a satellite image. Preliminary results show that general physiographic features of snow leopard habitat can be detected using satellite imagery and that GIS cartographic modeling techniques can improve this delineation. -from Authors
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Hanson, J. H., Schutgens, M., Lama, R.P., Aryal, A., Dhakal, M. (2018). Local attitudes to the proposed translocation of blue sheep Pseudois nayaur to Sagarmatha National Park, Nepal. Fauna & Flora International, , 1–7.
Abstract: Translocations are an important tool for the conservation
of biodiversity, but although ecological feasibility
studies are frequently conducted prior to implementation,
social feasibility studies that consider how local communities
perceive such projects are less common. The translocation
of blue sheep Pseudois nayaur to Sagarmatha National
Park, Nepal, has been proposed, to reduce livestock depredation
by snow leopards Panthera uncia by providing an alternative
prey base in addition to the small population of
Himalayan thar Hemitragus jemlahicus. This study used
systematic sampling, a quantitative questionnaire and qualitative
interviews within the Park to provide data on the social
viability of the proposed translocation. Quantitative
analysis revealed moderate levels of support but qualitative
analysis suggested that there are significant concerns about
the proposal. In addition,multiple regression analysis found
that women and livestock owners were significantly less
supportive, although the model had low explanatory
power. Potential crop damage and competition for forage
were frequently cited as concerns, especially amongst
those with a high level of dependence on natural resources.
Given the mixed response to the proposed translocation of
blue sheep to the Everest region, alleviating the reservations
of local residents is likely to be key to any further consultation,
planning or implementation.
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Thapa, K., Rayamajhi, S. (2023). Anti-predator strategies of blue sheep (naur) under varied predator compositions: a comparison of snow leopard-inhabited valleys with and without wolves in Nepal. Wildlife Research, , 1–9.
Abstract: In Nepal, naur are usually the staple wild prey for the snow leopard, a solitary stalker hunter, and in some cases, for the wolf who hunts in a pack. We assumed that naur would adapt their anti-predatory responses to the presence of chasing and ambushing predators in the Manang Valley, where there are snow leopards and wolves, and in the Nar Phu valley, an area where there is only the snow leopard.
Aims. The aim of this study was to determine if there were differences in anti-predator strategies (vigilance, habitat selection and escape terrain) of naur in two valleys over two seasons, spring and autumn.
Methods. In spring 2019, we conducted a reconnaissance survey on the status of the naur and its habitat in the Manang and Nar Phu valleys of the Annapurna Conservation Area, Nepal. In spring and autumn 2020 and 2021, we observed 360 focal naur individuals (180 individuals in each valley), using the vigilance behaviour methodology to examine the behaviour of the naur.
Key results. There was little difference in the size of the naur groups between the Manang and Nar Phu valleys. The naur were twice as vigilant in Manang (15%), where there are snow leopards and wolves, as they were in Nar Phu (9%), with only snow leopards. The distance from the naur to escape cover was significantly shorter in Manang than in Nar Phu valley. Naur used significantly more rolling terrain in Nar Phu than in Manang. Conclusions. The return of wolves to the Manang valley may have resulted in an increase in the level of naur vigilance. Most likely, the wolves in Manang have already had an effect on the female-to-young-ratio, and this effect will possibly have important consequences for the naur population, as well as at the ecosystem level in the future. Other key determining factors, such as the climate crisis and changes in local resources, could have a significant impact on the naur population, indicating the need for more research. Implications. The findings of this study would provide valuable baseline information for the design of a science-based conservation strategy for conservation managers and scientists on naur, snow leopards and wolves.
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Schaller, G. (1988). Survey of Mountain Wildlife in Xinjiang, Report # 7.
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Schaller, G. (1988). Wildlife Survey in Tibet, Report #8.
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Lu, Q., Xiao, L., Cheng, C., Lu, Z., Zhao, J., Yao, M. (2021). Snow Leopard Dietary Preferences and Livestock Predation Revealed by Fecal DNA Metabarcoding: No Evidence for Apparent Competition Between Wild and Domestic Prey. Frontiers in Ecology and Evolution, 9(783546), 1–14.
Abstract: Accurate assessments of the patterns and drivers of livestock depredation by wild carnivores are vital for designing effective mitigation strategies to reduce human-wildlife conflict. Snow leopard’s (Panthera uncia) range extensively overlaps pastoralist land- use and livestock predation there is widely reported, but the ecological determinants of livestock consumption by snow leopards remain obscure. We investigated snow leopard dietary habits at seven sites across the Sanjiangyuan region of the Qinghai– Tibetan Plateau (QTP), an area central to the species’ global range. Snow leopard abundance, wild prey composition, and livestock density varied among those sites, thus allowing us to test the effects of various factors on snow leopard diet and livestock predation. Using DNA metabarcoding, we obtained highly resolved dietary data from 351 genetically verified snow leopard fecal samples. We then analyzed the prey preferences of snow leopards and examined ecological factors related to their livestock consumption. Across the sites, snow leopard prey was composed mainly of wild ungulates (mean = 81.5% of dietary sequences), particularly bharal (Pseudois nayaur), and supplemented with livestock (7.62%) and smaller mammals (marmots, pikas, mice; 10.7%). Snow leopards showed a strong preference for bharal, relative to livestock, based on their densities. Interestingly, both proportional and total livestock consumption by snow leopards increased linearly with local livestock biomass, but not with livestock density. That, together with a slight negative relationship with bharal density, supports apparent facilitation between wild and domestic prey. We also found a significant positive correlation between population densities of snow leopard and bharal, yet those densities showed slight negative relationships with livestock density. Our results highlight the importance of sufficient wild ungulate abundance to the conservation of viable snow leopard populations. Additionally, livestock protection is critically needed to reduce losses to snow leopard depredation, especially where local livestock abundances are high.
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Schaller, G. B. (1987). Status of large mammals in the Taxkorgan Reserve, Xinjiang, China. Biological-Conservation, 42(1), 53–71.
Abstract: A status survey of large mammals was conducted in the W half of 14 000 km“SUP 2” Taxkorgan Reserve. Only one viable population of fewer than 150 Marco Polo sheep Ovis ammon poli survives; it appears to be augmented by adult males from Russia and Afghanistan during the winter rut. Asiatic ibex Capra ibex occur primarily in the western part of the reserve and blue sheep Pseudois nayaur – the most abundant wild ungulate – in the E and SE parts. The 2 species overlap in the area of contact. Counts revealed an average wild ungulate density of 0.34 animals km“SUP -2”. Snow leopard Panthera uncia were rare, with possibly 50-75 in the reserve, as were wolves Canis lupus and brown bear Ursus arctos. The principal spring food of snow leopard was blue sheep (60%) and marmot (29%). Local people have greatly decimated wildlife. Overgrazing by livestock and overuse of shrubs for fuelwood is turning this arid steppe habitat into desert. -from Authors
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Thapa, K., Jackson, R., Gurung, L, Acharya, H. B., Gurung, R. K.,. (2021). Applying the double observer methodology for assessing blue sheep population size in Nar Phu valley, Annapurna Conservation Area, Nepal. Wildlife Biology, , 1–11.
Abstract: This study was undertaken in spring, 2019 to assess the applicability of the double-observer survey method for estimating blue sheep Pseudois nayaur abundance in Nar-Phu valley of Manang District located in Annapurna Conservation Area of northern Nepal. Since counting large mammals in rugged mountain habitat poses a special challenge, we tested the efficacy of the double observer method for generating robust population estimates for this important protected area. The overall detection probability for observers (O1 and O2) was 0.94 and 0.91 for a total of 106 groups comprised of 2059 individual blue sheep. We estimated the area’s blue sheep population at 2070 (SE ± 168.77; 95% CI 2059–2405) for the 246.2 km2 of sampled habitat. We determined blue sheep to be widely distributed within the study area with a mean density of 8.4 individuals per km2 based on a total study area of 246.2 km2. We discuss demographic population structure and identify limitations when applying the double observer approach, along with recommending viewshed mapping for ensuring more robust density estimates of mountain-dwelling ungulates like blue sheep or ibex that inhabit extremely heterogeneous terrain which strongly influences sighting distances and overall animal detection rates.
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