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Sanyal, O., Bashir, T., Rana, M., Chandan, P. (2023). First photographic record of the snow leopard Panthera uncia in Kishtwar High Altitude National Park, Jammu and Kashmir, India. Oryx, , 1–5.
Abstract: The snow leopard Panthera uncia is categorized as Vulnerable on the IUCN Red List. It is the least well-known of the large felids because of its shy and elusive nature and the inaccessible terrain it inhabits across the mountains of Central and South Asia. We report the first photographic record of the snow leopard in Kishtwar High Altitude National Park, India. During our camera-trapping surveys, conducted using a grid-based design, we obtained eight photographs of snow leopards, the first at 3,280 m altitude on 19 September 2022 and subsequent photographs over 3,004-3,878 m altitude. We identified at least four different individuals, establishing the species’ occurrence in Kiyar, Nanth and Renai catchments, with a capture rate of 0.123 ± SE 0.072 captures/100 trap-nights. ghts. We also recorded the presence of snow leopard prey species, including the Siberian ibex Capra sibirica, Himalayan musk deer Moschus leucogaster, long-tailed marmot Marmota caudata and pika Ochotona sp., identifying the area as potential snow leopard habitat. Given the location of Kishtwar High Altitude National Park, this record is significant for the overall snow leopard conservation landscape in India. We recommend a comprehensive study across the Kishtwar landscape to assess the occupancy, abundance, demography and movement patterns of the snow leopard and its prey. In addition, interactions between the snow leopard and pastoral communities should be assessed to understand the challenges facing the conservation and management of this important high-altitude region.
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Ismaili, R. R. R., Peng, X., Li., Y, Ali, A., Ahmad, T., Rahman, A. U., Ahmad, S., Shi, K. (2024). Modeling Habitat Suitability of Snow Leopards in Yanchiwan National Reserve, China. Animals, 14(1938), 1–21.
Abstract: 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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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. (2024). Human-wildlife conflict at high altitude: A case from Gaurishankar conservation area, Nepal. Ecology and Evolution, 14(e11685), 1–9.
Abstract: 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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Jackson, M. R., Munkhtsog, B., Munkhtsog, B., Hunter, B., Rice, D., Hunter, D. O. (2024). Harnessing Drones for Snow Leopard Prey Surveys. SL Reports, 3, 1–8.
Abstract: 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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Khanyari, M., Sanyal, O., Chandan, P., Bajaj, D., Sharma, C., Rana, M., Sharma, N., Bashir, T., Suryawanshi, K. (2024). A new dawn? Population baselines of snow leopards and other mammals of the Kishtwar High Altitude National Park, India. Integrative Conservation, , 1–10.
Abstract: 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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Nyam, E., Alexander, J. S., Byambasuren, C., Johansson, O., Samelius, G., Lkhagvajav, P. (2024). Snow leopard digging for water in an arid environment. SL Reports, 3, 37–40.
Abstract: Adaptations to arid environments, involving strategies to conserve and utilize water, are vital for wildlife. Water availability in these regions depends on seasonal rainfall, and subsequently affect species distribution and behavior. This note documents a snow leopard (Panthera uncia) in the Tost Mountains of southern Mongolia digging for water, a previously undocumented behavior. The first author identified evidence of snow leopards digging for water. Camera traps were then used in an attempt to document this behavior. Unique pelt patterns identified one snow leopard digging for water in the summer of 2022, with drinking observed. Other species also drank at the site, suggesting snow leopards could act as ecological engineers by providing water for other species. Four other snow leopards were observed to visit the site in the late fall, winter, and early spring of 2022 and 2023. These snow leopards did not dig or drink, but this may largely have been related to subzero temperatures (-15°C to -30°C) and the ground being frozen for most of this period. The snow leopard digging for and exposing water may help to support biodiversity in desert ecosystems. However, further research is needed to determine its prevalence and impact. Understanding these strategies is crucial for conservation, especially with increasing droughts and extreme weather in arid landscapes.
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Dorji, R., Letro, L., Yangden, S., Dendup, P., Dhendup, T. Lhamo, Y. (2024). Rare and unusual snow leopard encounters in the broadleaf forest of the Bhutanese Himalayas. SL Reports, 3, 13–20.
Abstract: The snow leopard Panthera uncia, a top predator in Central and South Asia, faces population declines due to habitat degradation, prey depletion, retaliatory killings, poaching, and climate change. In Bhutan, where the species is protected, we report two rare sightings in the Gedu regionʼs broadleaved and fir forests, at 2,708 masl and 3,839 masl, respectively, which are lower than the typical speciesʼ prime habitats in Bhutan. These findings suggest that this area may function as an important corridor or a potential range expansion beyond typical high-altitude habitats (3,000 to 5,800 masl). This discovery underscores the speciesʼ ecological adaptability and highlights the need for enhanced conservation strategies, including habitat connectivity mapping and local community education. Additionally, it highlights the importance of protecting and conserving habitats outside of protected areas for speciesʼ long-term persistence.
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Cancellare, I. A., Weckworth, B., Caragiulo, A., Pilgrim, K. L., McCarthy, T. M., Abdullaev, A., Amato, G., Bian, X., Bykova, E., Dias-Freedman, I., Gritsina, M., Hennelly, L. M., Janjua, S., Johansson, O., Kachel, S., Karnaukhov, A., Korablev, M., Kubanychbekov, Z., Kulenbekov, R., Liang, X., Lkhagvajav, P., Meyer, T. K., Munkhtsog, B., Munkhtsog, B., Nawaz, M. A., Ostrowski, S., Paltsyn, M., Poyarkov, A., Rabinowitz, S., Rooney, T., Rosen, T., Rozhnov, V. V., Sacks, B. N., Schwartz, M. K., McCarthy, K. P. (2024). Snow leopard phylogeography and population structure supports two global populations with single refugial origin. Biodiversity and Conservation, , 1–19.
Abstract: Snow leopards (Panthera uncia) inhabit the mountainous regions of High Asia, which experienced serial glacial contraction and expansion during climatic cycles of the Pleistocene. The corresponding impacts of glacial vicariance may have alternately promoted or constrained genetic differentiation to shape the distribution of genetic lineages and population structure. We studied snow leopard phylogeography across High Asia by examining range-wide historical and contemporary genetic structure with mitochondrial DNA and microsatellite markers. We genotyped 182 individuals from across snow leopard range and sequenced portions of the mitogenome in a spatially stratified subset of 80 individuals to infer historical biogeographic and contemporary patterns of genetic diversity. We observed a lack of phylogeographic structure, and analyses suggested a single refugial origin for all sampled populations. Molecular data provided tentative evidence of a hypothesized glacial refugia in the Tian Shan-Pamir-Hindu Kush-Karakoram mountain ranges, and detected mixed signatures of population expansion. Concordant assessments of microsatellite data indicated two global genetic populations, though we detected geographic differences between historical and contemporary population structure and connectivity inferred from mitochondrial and microsatellite data, respectively. Using the largest sample size and geographic coverage to date, we demonstrate novel information on the phylogeographic history of snow leopards, and corroborate existing interpretations of snow leopard connectivity and genetic structure. We recommend that conservation efforts incorporate genetic data to define and protect meaningful conservation units and their underlying genetic diversity, and to maintain the snow leopard’s adaptive potential and continued resilience to environmental changes.
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Hani, U., Haq, S. M., Shabbir, R., Waheed, M., Jabeen, A., Hussain, M., Najar, Z. H., Alhimaidi, A. R., Amran, R. A., Bussmann, R. W. (2024). Geospatial assessment of climate and human pressure on Snow Leopard habitat in the Trans-Himalayan region of Pakistan. Global Ecology and Conservation, 53(e03024), 1–15.
Abstract: Reliable estimates of how human activities may affect wildlife populations are critical for making
scientifically sound resource management decisions. A significant issue in estimating the consequences
of management, development, or conservation measures is the need to account for a
variety of biotic and abiotic factors, such as land use and climate change, that interact over time
altering wildlife habitats and populations. The snow leopard Panthera uncia (Schreber, 1775), as a
vulnerable species, is extremely sensitive to indirect impacts of climate change. Given that it is
highly difficult undertaking conservation measures on the entire range of snow leopards, identifying
hotspots for conservation is necessary. This study was conducted in Bagrot and Haramosh
valleys, in the Trans-Himalayan region, to evaluate the impacts of climate and human pressure on
snow leopard habitat. Hybrid classification of Landsat satellite data for 2010 and 2020 was
performed to elucidate land use changes that suggested a decrease in permanent snow by 10 %
and 3 % in Haramosh and Bagrot while an increase in settlements cover by 16 % and 23 %,
respectively. Life zone comparison for 2010 and 2020 using the Holdridge life zone (HLZ) classification
system disclosed a change from three life zones to five life zones in Haramosh, and four
life zones to five life zones in Bagrot, caused by a temperature increase of 2◦C to 3◦C, indicating
that the area is becoming more and more suitable for settlements and less favorable for snow
leopards. This study underlines again that mountainous regions are more vulnerable to the impacts
of climate change. Warming weather is making survival more difficult for snow leopards.
Although they are resilient to the direct effects of climate change, indirect impacts like avalanches,
flash floods, urbanization, and human-wildlife conflict make them more vulnerable and
threaten their survival. Thus, we recommend establishing further protected areas, better controlling
illegal wildlife trade, and conducting genetic studies to understand impacts on snow
leopards and rangeland management, livelihood improvement, and human-wildlife conflict
reductions.
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Mijiddorj, T. N., Ganchudur, B., Samelius, G., Alexander, J. S. (2024). Reflections from a snow leopard eco-camp program in Mongolia. SL Reports, 3, 69–78.
Abstract: Environmental education can efficiently engage individuals in addressing environmental challenges and promote collaboration among stakeholders. The aim of this paper was to understand how children participating in eco-camps perceived nature and the environment. Additionally, we aim to share our experiences from eight years of eco-camp activities conducted for sixth-grade students (aged 12-13 years) in the Gobi region of southern Mongolia. The program utilized active learning in snow leopard habitats. We used creative expressions, specifically write-ups such as poems, to capture the children's perceptions and feelings about nature. The findings revealed that the children participating in the program conveyed a sense of awe for nature and awareness of ecosystem services. Feedback from parents and teachers indicated that the program was effective at creating positive changes in the childrenʼs behavior. While short-term outcomes were evident, further investigation into the long-term sustainability of these changes are needed.
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Kau, M., Weckworth, B. V., Li, S., Pires, M.M., Jin, D., Pacifici, M., Rondinini, C., Boitani, L., McCarthy, T. M., Lu, Z., Schaller, G. B., Beissinger, S. R., Li, J. (2025). Umbrella, keystone, or flagship? An integrated framework for identifying effective surrogate species. Biological Conservation, 303(111025), 1–12.
Abstract: The global biodiversity crisis demands targeted conservation strategies that maximize impact despite limited
resources. Surrogate species approaches, particularly using umbrella, keystone, and flagship species, offer
practical targets for conservation planning that may indirectly benefit ecosystems. However, selecting target
species is often hindered by conceptual ambiguities and inconsistent methodologies. To address these challenges, we present an integrative framework that systematically identifies effective surrogate species through Multi-Criteria Decision Analysis (MCDA) combined with big data. Our framework quantifies each species' conservation potential using three indices: an Umbrella index, a Keystone index, and a Flagship index. The Umbrella index assesses habitat overlap using Area of Habitat (AOH) data, the Keystone index is calculated through a network analysis of predator-prey relationships, and the Flagship index analyzes public interest via Google Trends and Baidu Index. These indices are integrated into a composite Effectiveness index using the Multi-Attribute Utility Theory (MAUT) model, with sensitivity analysis to evaluate the robustness of species rankings. We applied this framework to Three-River-Source National Park in the Qinghai-Tibetan Plateau. Our results identified the snow leopard (Panthera uncia) as the most effective surrogate species among mammals, ranking first in both the Flagship and Keystone indices, and tenth in the Umbrella index, leading to its top position in the composite Effectiveness index. This data-driven, transparent approach enhances objectivity in surrogate species selection, promising more strategic and impactful biodiversity conservation efforts worldwide.
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Talukdar, A., Bhasin, A., Patel, D., Raina, P., Tonde, P., Savita, P. (2025). Clinical and physiological evaluation of free-ranging snow leopards immobilized with ketamine-xylazine in emergency situations. Frontiers in Veterinary Science, 12(1492640), 1–7.
Abstract: The current study presents data on the immobilization and physiological responses of 26 distressed free-ranging snow leopards (Panthera uncia) in the trans-Himalayan regions of Ladakh, India, spanning three years from October 2020 to December 2023. Ketamine and xylazine were utilized in a drug mixture
for rescue, rehabilitation, health assessment, and other capture purposes, with average doses of 6.535 ± 0.93 mgkg−1 and 1.937 ± 0.41 mgkg−1 of body weight, respectively. The average induction occurred at 3.85 ± 1.8 min. Respiratory rate, rectal temperature, and heart rate were monitored periodically post-induction, all remaining within clinically acceptable ranges. Following an average recumbency period of 70.69 ± 16.56 min, immobilizations were reversed using intramuscular injections of Yohimbine at 0.147 ± 0.03 mgkg−1 of body weight, leading to complete recovery within an average time of 24.92 ± 7.08 min. Our findings suggest that the ketamine and xylazine mixture represents a safe and effective method for immobilizing snow leopards, particularly in emergency scenarios.
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Khan, T. U., Nabi, G., Ahmad, S., Hu, H., Hu, Y., Puswal, S. M., Ghaznavi, M., Luan, X. (2025). Hide and seek in time and space: Spatiotemporal segregation between snow leopard and its prey in Northern Pakistan.59(e03543), 1–14.
Abstract: Temporal niche-partitioning is a key strategy for prey to avoid predators and for predators to
successfully coexist sympatrically. However, little is known about the temporal and spatial dynamics of snow leopards with key prey species. We investigated the spring daily activity patterns and spatial density distributions of snow leopard (Panthera uncia), Himalayan ibex (Capra ibex sibirica), and domestic yak (Bos grunniens) to unravel the spatiotemporal behavior within their shared alpine habitat in Northern Pakistan using trail cameras data. The results indicated that snow leopards exhibited a bimodal activity pattern, with peaks around midnight and dawn. In contrast, the ibex displayed a predominantly diurnal pattern, starting at dawn and minimally overlapping with the snow leopard. Attended yaks showed a uniform diurnal activity pattern
under human protection, while unattended yaks exhibited irregular activity across day and night, suggesting higher vulnerability to predation. Spatial density analysis revealed notable overlaps between species pairs, particularly unattended yaks and snow leopards, highlighting the influence of spatial dynamics on predator-prey interactions. The clear off-phased and contrasting pattern of activity between snow leopard and ibex in our study showed temporal partitioning in spring and indicates that unattended yak may be a more heavily predated species than previously thought. This study provides the first comparative analysis of temporal activity patterns between a key predator and wild and domestic prey in Northern Pakistan. This research broadens our understanding of animal behavior through the lens of spatiotemporal interactions and provides insights into the complex dynamics between predator and prey in the challenging alpine landscape. Our
findings emphasize the importance of livestock guarding to mitigate depredation and highlight the complexities of predator-prey interactions in both time and space, along with the resulting behavioral adaptions.
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(2002). Snow Leopard Survival Summit Group Photograph.
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Anandakrishnan, M. B. (1998). The snow leopard: Elusive and endangered. The Environmental Magazine, 9(5), 18–19.
Abstract: The snow leopard has never been common, but there may be fewer than 4,000 left in its Himalayan habitat, and poaching and tourism-related development in the region could drive its numbers down further.
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Andriuskevicius, A. (1980). Occurrance of Snow Leopards in the Soviet Union. International Pedigree Book of Snow Leopards, 2, 59–69.
Abstract: Outlines status and distribution of snow leopard in USSR, including comments on reserves created for the species.
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Anonymous. (1984). Snow leopard trade in court.
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Anonymous. (1992). The 7th International Snow Leopard Symposium Presentation Abstracts. In International Snow Leopard Trust, & Northwest Plateau Institute of Biology (Eds.), The 7th International Snow Leopard Symposium Presentation Abstracts (pp. 1–15). 7th International Snow Leopard Symposium.
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Anonymous. (1996). Preserving the snow leopard and its habitat. The Rolex Awards for Enterprise Journal, 3.
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Anonymous. (2000). Snow Leopard Smuggler Detained in Northwest China.
Abstract: Police have detained a man for trying to smuggle two snow leopards through the Xining Railway Station in northwest China's Qinghai Province. Ma Deliang was stopped by police after he attempted to pass the butchered snow leopards off as “beef” at a shop in Sichuan in southwest China. Suspicious of the contents in Ma's big sack, police asked experts from the local forestry bureau to check the meat and they found it to be flesh of two snow leopards, an endangered species on top state protection. Ma later confessed that he bought the dead snow leopards at a local market and wanted to smuggle them to Deyang, a city in southwest China's Sichuan province. Police also searched Ma's home and found dear heads, antlers and lynx and fox furs. Snow leopards live in highlands of altitudes between 3,000 to 6, 000 m above sea level. The population of the species has dwindled greatly since the 19th century.
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Anonymous. (2000). Snow leopard management plan of Mongolia (draft).
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Anonymous. (2001). Snow leopard conservancy annual report, 2001. Los Gatos, California, USA: Snow Leopard Conservancy.
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Aryal, A. (2009). Final Report On Demography and Causes of Mortality of Blue Sheep (Pseudois nayaur) in Dhorpatan Hunting Reserve in Nepal.
Abstract: A total of 206 individual Blue sheep Pseudois nayaur were estimated in Barse and Phagune blocks of Dhorpatan Hunting Reserve (DHR) and population density was 1.8 Blue sheep/sq.km. There was not significant change in population density from last 4 decades. An average 7 animals/herd (SD-5.5) were classified from twenty nine herds, sheep per herds varying from 1 to 37. Blue sheep has classified into sex ratio on an average 75 male/100females was recorded in study area. The sex ratio was slightly lower but not significantly different from the previous study. Population of Blue sheep was seen stable or not decrease even there was high poaching pressure, the reason may be reducing the number of predators by poison and poaching which has
supported to increase blue sheep population. Because of reducing the predators Wolf Canis lupus, Wild boar population was increasing drastically in high rate and we can observed wild boar above the tree line of DHR. The frequency of occurrence of different prey species in scats of different predators shows that, excluding zero values, the frequencies of different prey species were no significantly different (ö2= 10.3, df = 49, p > 0.05). Most of the scats samples (74%) of Snow leopard, Wolf, Common Leopard, Red fox's cover one prey species while two and three species were present in 18% and 8%, respectively. Barking deer Muntiacus muntjak was the most frequent (18%) of total diet composition of common leopards. Pika Ochotona roylei was the most frequent (28%), and Blue sheep was in second position for diet of snow leopards which cover 21% of total diet composition. 13% of diet covered non-food item such as soil, stones, and vegetable. Pika was most frequent on Wolf and Red fox diet which covered 32% and 30% respectively. There was good positive relationship between the scat density and Blue sheep consumption rate, increasing the scat density, increasing the Blue sheep consumption rate. Blue sheep preference by different predators such as Snow leopard, Common leopard, Wolf and Red fox were 20%, 6%, 13% and 2% of total prey species respectively.
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Bacha, M. S. (1990). Snow leopard recovery program for Kishtwar High Altitude National Park Jammu and Kashmir State 1986-7 to 1989-90. Srinagar, Kashmir.
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Bajimaya, S. (2001). Snow leopard manual: field study techniques for the kingdom of Nepal. Kathmandu, Nepal: WWF Nepal Program.
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