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Ismaili, R. R. R., Peng, X., Li., Y, Ali, A., Ahmad, T., Rahman, A. U., Ahmad, S., Shi, K. |
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Title |
Modeling Habitat Suitability of Snow Leopards in Yanchiwan National Reserve, China |
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Journal Article |
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Year |
2024 |
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Animals |
Abbreviated Journal |
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14 |
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1938 |
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1-21 |
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snow leopard; maximum entropy modeling; Yanchiwan National Nature Reserve; species conservation; environmental impact |
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Snow leopards (Panthera uncia) are elusive predators inhabiting high-altitude and mountainous rugged habitats. The current study was conducted in the Yanchiwan National Nature Reserve, Gansu Province, China, to assess the habitat suitability of snow leopards and identify key environmental factors inducing their distribution. Field data collected between 2019 and 2022 through scat sampling and camera trapping techniques provided insights into snow leopard habitat preferences. Spatial distribution and cluster analyses show distinct hotspots of high habitat suitability, mostly concentrated near mountainous landscapes. While altitude remains a critical determinant, with places above 3300 m showing increased habitat suitability, other factors such as soil type, human footprint, forest cover, prey availability, and human disturbance also play important roles. These variables influence ecological dynamics and are required to assess and manage snow leopard habitats. The MaxEnt model has helped us to better grasp these issues, particularly the enormous impact of human activities on habitat suitability. The current study highlights the importance of altitude in determining snow leopard habitat preferences and distribution patterns in the reserve. Furthermore, the study underscores the significance of considering elevation in conservation planning and management strategies for snow leopards, particularly in mountainous regions. By combining complete environmental data with innovative modeling tools, this study not only improves local conservation efforts but also serves as a model for similar wildlife conservation initiatives around the world. By understanding the environmental factors driving snow leopard distribution, conservation efforts can be more efficiently directed to ensure the long-term survival of this endangered species. This study provides valuable insights for evidence-based conservation efforts to safeguard the habitats of snow leopards amidst emerging anthropogenic pressure and environmental fluctuations. |
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SLN @ rakhee @ |
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1751 |
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Pathak, A., Lamichhane, S., Dhakal, M., Karki, A., Dhakal, B. D., Chetri, M., Mintz, J., Pun, P., Neupane, P., Dahal, T. P., Rayamajhi, T., Paudel, P., Thapa, A., Regmi, P. R., Thami, S., Thapa, G., Khanal, S., Lama, S., Karki, J., Khanal, S., Ferdin, A. E. J. |
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Human-wildlife conflict at high altitude: A case from Gaurishankar conservation area, Nepal |
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Journal Article |
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2024 |
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Ecology and Evolution |
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14 |
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e11685 |
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1-9 |
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coexistence, compensation policy, Gaurishankar conservation area, high altitude, Himalayan black bear, human-wildlife conflict, leopard |
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Human–wildlife conflict studies of high-altitude areas are rare due to budget constraints and the challenging nature of research in these remote environments. This study investigates the prevalence and increasing trend of human–wildlife conflict (HWC) in the mountainous Gaurishankar Conservation Area (GCA) of Nepal, with a specific focus on leopard (Panthera pardus) and Himalayan black bear (Ursus thibetanus laniger). The study analyzes a decade of HWC reports and identifies goats as the livestock most targeted by leopards. The Dolakha district of GCA received the highest number of reports, highlighting the need for mitigation measures in the area. In GCA, livestock attacks accounted for 85% of compensation, with the remaining 15% for human injuries. We estimate that the number of reported wildlife attacks grew on average by 33% per year, with an additional increase of 57 reports per year following the implementation of a new compensation policy during BS 2076 (2019 AD). While bear attacks showed no significant change post-rule alteration, leopard attack reports surged from 1 to 60 annually, indicating improved compensation may have resulted in increased leopard-attack reporting rates. The findings emphasize the economic impact of HWC on local communities and suggest strategies such as increasing prey populations, promoting community education and awareness, enhancing alternative livelihood options, developing community-based insurance programs, and implementing secure enclosures (corrals) to minimize conflicts and foster harmonious coexistence. This research addresses a knowledge gap in HWC in high- altitude conservation areas like the GCA, providing valuable insights for conservation stakeholders and contributing to biodiversity conservation and the well-being of humans and wildlife. |
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SLN @ rakhee @ |
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1752 |
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Jackson, M. R., Munkhtsog, B., Munkhtsog, B., Hunter, B., Rice, D., Hunter, D. O. |
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Harnessing Drones for Snow Leopard Prey Surveys |
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Journal Article |
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2024 |
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SL Reports |
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3 |
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1-8 |
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argali, Asiatic ibex, surveys, drone, Mongolia, snow leopard, thermal imagery, Unmanned Aerial Vehicle (UAV) |
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Surveying snow leopard prey species such as argali, ibex or blue sheep through traditional ground-based observations is time-consuming, expensive, and challenging. Aerial drones present a promising alternative. We tested using thermal-sensor- equipped drones to count ungulate populations in Mongolia’s Ikh Nart Nature Reserve, surveying ~400km of transects along five fixed routes for forty-three missions. Drones detected 235 prey animals and 209 livestock; 26% of all sightings were in areas that would not have been visible to hypothetical ground-based observers. Our tests reinforced the utility of drones for counting snow leopard prey and highlighted important issues and future advances for supporting largely autonomous prey surveys. We recommend biologists build upon existing technology to attain an inexpensive, easy to use, and field ready set of equipment and procedures that can reliably improve or replace traditional transect or point count methods for large prey species. |
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SLN @ rakhee @ |
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1753 |
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Khanyari, M., Sanyal, O., Chandan, P., Bajaj, D., Sharma, C., Rana, M., Sharma, N., Bashir, T., Suryawanshi, K. |
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A new dawn? Population baselines of snow leopards and other mammals of the Kishtwar High Altitude National Park, India |
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2024 |
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Integrative Conservation |
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1-10 |
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camera trapping, Himalaya, Kishtwar, mammal, SECR, Snow leopard |
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Accurately assessing the status of threatened species requires reliable population estimates. Despite this necessity, only a small proportion of the global distribution range of the vulnerable snow leopard (Panthera uncia) has been systematically sampled. The Indian section of the Greater Himalayas, which includes Kishtwar High Altitude National Park (KHANP), harbours potential snow leopard habitat. Nevertheless, there has been limited ecological and conservation research focusing on species that are specific to KHANP, as well as limited research on the broader biodiversity of the Greater Himalayas. We used Spatially Explicit Capture‐Recapture (SECR) models to provide—to our knowledge—the first robust snow leopard population density and abundance estimates from KHANP. We also provide a Relative Abundance Index (RAI) for non‐volant mammals (excluding small rodents). Our study sampled three catchments within the Dachhan region of KHANP—Kibber, Nanth and Kiyar—using 44 cameras over a 45‐day period between May and June 2023. We identified four unique snow leopard individuals across 15 detections in nine camera locations. SECR analysis estimated a density of 0.50 snow leopards per 100 km2 (95% confidence interval: 0.13–1.86), corresponding to an abundance of four individual (4–9) adults. Camera trapping revealed a total of 16 mammal species, including the endangered Kashmir musk deer (Moschus cupreus). Marmots (Marmota caudata) had the highest RAI of 21.3 (±0.2). Although the estimated density and abundance of snow leopards in our study area had relatively wide 95% confidence intervals, our combined results of snow leopard densities and RAIs of prey species such as ibex and marmots indicate that KHANP is a potentially important area for snow leopards. Given the geopolitical history of Jammu and Kashmir in India, the region where KHANP is located, wildlife research remains a low priority. We hope our study encourages authorities to support further research. This study is an initial step towards evaluating the potential of KHANP as a conservation landscape under the Government of India's Project Snow Leopard. |
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SLN @ rakhee @ |
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1755 |
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McCarthy, T.; Murray, K.; Sharma, K.; Johansson, O. |
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Preliminary results of a long-term study of snow leopards in South Gobi, Mongolia |
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2010 |
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Cat News |
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Autumn |
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53 |
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15-19 |
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snow leopard, Mongolia, monitor, population, Panthera, Snow Leopard Trust, Snow Leopard Conservation Fund, South Gobi, ecology, radio collar, GPS-satellite collar, home range, camera trapping, fecal genetics, occupancy modeling |
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Snow leopards Panthera uncia are under threat across their range and require urgent conservation actions based on sound science. However, their remote habitat and cryptic nature make them inherently difficult to study and past attempts have provided insufficient information upon which to base effective conservation. Further, there has been no statistically-reliable and cost-effective method available to monitor snow leopard populations, focus conservation effort on key populations, or assess conservation impacts. To address these multiple information needs, Panthera, Snow Leopard Trust, and Snow Leopard Conservation Fund, launched an ambitious long-term study in Mongolia’s South Gobi province in 2008. To date, 10 snow leo-pards have been fitted with GPS-satellite collars to provide information on basic snow leopard ecology. Using 2,443 locations we calculated MCP home ranges of 150 – 938 km2, with substantial overlap between individuals. Exploratory movements outside typical snow leopard habitat have been observed. Trials of camera trapping, fecal genetics, and occupancy modeling, have been completed. Each method ex-hibits promise, and limitations, as potential monitoring tools for this elusive species. |
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SLN @ rana @ |
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1151 |
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Yondon, O. |
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Title |
Long-Term Conservation of Argali and Snow Leopard in the Trans-Boundary Areas of the Altai-Sayan Ecoregion between Mongolia and Russia (Second Phase) |
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Report |
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2010 |
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1-6 |
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Mongolia, Russia, argali, snow leopard, Altai-Sayan |
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Objective 1: To ensure long-term conservation of Argali and Snow leopard in the selected areas through proactive involvement of local communities and local organisations.
Objective 2. Facilitate establishing new PA in priority areas (critical habitat and migration corridors) of Argali and Snow leopard, which includes also trans-boundary PA’s |
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WWF Mongolia |
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WWF Mongolia |
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Mongolia |
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Half-year (6 month) report |
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SLN @ rana @ |
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1106 |
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Ming, M., Munkhtsog, B., McCarthy, T., McCarthy, K. |
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Title |
Monitor ing of Population Density of Snow Leopard in X injiang |
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2011 |
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Journal of Ecology and Rural Environment |
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27 |
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1 |
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79-83 |
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Uncia uncia; snow leopard; monitoring method; trace; infrared camera; relative intensity |
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The snow leopard (Uncia uncia) is a very rare species in China. The survey of traces of snow leopard in Kunlun, Altay and Tianshan is them a instep of the Project of Snow Leopard in X injiang supported by the International Snow Leopard Trust ( SLT) and the Xinjiang Conservation Fund (XCF). During the field survey from 2004 to 2010, the Xinjiang Snow Leopard Group ( XSLG) spent about 270 days in over 20 different places, covering over 150 transects totaling nearly 190 km, and found 1- 3 traces per kilometer. The traces of snow leopard recorded include dung, odor, chains of footprints, scraping, paw nail marks, lying mark, fur, urine, bloodstain, leftover of prey corpse, roaring and others. Based on tracer image analyses, the XSLG got to know primarily scopes of the domains, distribution and relative density of the snow leopard in these areas. Then the group began to take infrared photos, conducted survey of food sources of the leopards, investigated fur market and paths of trading, and cases of killing, and carry out civil survey through questionnaire, non government organization community service and research on conflicts between grazing and wild life protection. A total of 36 infrared came ras were laid out, working a total of about 2 094 days or 50 256 hours. A total 71 rolls of film were collected and developed, includ ing 32 clear pictures of snow leopards, thus making up a shooting rate or capture rate of 1.53%. It was ascertained that in Tomur Peak area, there were 5- 8 snow leopards roaming within a range of 250 km2, forming a population density of 2��0- 3��2 per 100 km2. After compar ing the various monitoring results, the advantages and limitations of different monitoring methods have been discussed. |
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Chinese |
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1303 |
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Ale, S.B., Brown, J.S. |
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Prey behavior leads to predator: a case study of the Himalayan tahr and the snow leopard in Sagarmatha (Mt. Everest) National Park, Nepal |
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Journal Article |
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2009 |
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Israel Journal of Ecology & Evolution |
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55 |
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4 |
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315-327 |
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vigilance, fear, behavioral indicator, predator, prey, snow leopard, Himalayan tahr, Mount Everest |
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Rare, elusive predators offer few sightings, hindering research with small sample sizes and lack of experimentation. While predators may be elusive, their prey are more readily observed. Prey respond to the presence of a predator, and these fear responses may have population- and community-level consequences. Anti-predator behaviors, such as vigilance, allow us to sidestep the difficulty of direct field studies of large predators by studying them indirectly. Here we used a behavioral indicator, the vigilance behavior of the Himalayan tahr, the snow leopard’s main local prey, to reveal the distribution and habitat use of snow leopards in the Mt. Everest region of Nepal. We combined techniques of conventional field biology with concepts of foraging theory to study prey behavior in order to obtain insights into the predator’s ecology. The Himalayan tahr’s vigilance behavior correlates with the distribution of snow leopard signs. Tahr actually led us to six sightings of snow leopards. We conclude that behavioral indicators provided by prey offer a valuable tool for studying and monitoring stealthy and rare carnivores. |
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Science from Israel, a division of LPPLtd. |
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Israel |
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1109 |
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WWF Russia & Mongolia |
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WWF Altai-Sayan Newsletter |
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2010 |
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12 |
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6 |
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WWF Russia, WWF Mongolia, argali, snow leopard |
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WWF Russia and WWF Mongolia share the main achievements of both offices in Altai – Sayan Ecoregion regarding species conservation, protected areas, ecotourism, public awareness, education, eco clubs, fresh water. Several articles reference snow leopards:
WWF Mongolia
Argali population observation in transboundary area
WWF Russia
Ecotourism camps in the habitats of a snow leopard and argali WWF and UNDP
WWF Russia
WWF assessed the level of conflict between herders and a snow leopard in Republic of Tyva
WWF Russia
The first ecological festival in the history of Mountain Altai for snow leopard conservation! |
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Email: tivanitskaya@wwf.ru |
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Communication Staff of Altai - Sayan Programme in Russia and Mongolia |
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WWF |
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Russia |
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1110 |
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Ale, S.B., Boesi, R. |
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Snow Leopard Sightings on the Top of the World |
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2005 |
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Cat News |
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43 |
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19-20 |
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Mt.Everest, Sagarmatha National Park, sightings, snow leopard, Uncia uncia |
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Sightings of snow leopards Uncia uncia in the wild are rare. This is because snow leopards occur in low numbers and are very elusive (Schaller 1977). Snow leopards may be sparsely distributed,but they may not, however, be very elusive in the world's highest park, Sagarmatha (Mt. Everest) National Park (86° 30' 53“ E to 86° 99' 08” E and 27° 46' 19“ N to 27° 06' 45” N) in Nepal. |
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1111 |
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