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(1995). Resolutions of the Eighth International Snow Leopard Symposium. In Eighth International Snow Leopard Symposium (pp. 1–3). Eighth International Snow Leopard Symposium.
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Ahmad, A., Rawat, J. S., & Rai, S. C. (1990). An Analysis of the Himalayan Environment and Guidelines for its Management and Ecologically Sustainable Development. Environmentalist, 10(4), 281–298.
Abstract: The impacts of human activities on the bio-geophysical and socio-economic environment of the Himalayas are analysed. The main man-induced activities which have accelerated ecological degradation and threatened the equilibrium of Himalayan mountain ecosystems are stated as: unplanned land use, cultivation on steep slopes, overgrazing, major engineering activities, over-exploitation of village or community forests, lopping of broad leaved plant species, shifting cultivation (short cycle) in north-east India, tourism and recreation. The geomorphological conditions are major factors responsible for landslides which cause major havoc every year in the area. Wild fauna, like musk deer and the snow leopard are now under threat partially due to changes in their habitat and the introduction of exotic plant species. Population pressure and migration are major factors responsible for poverty in the hills. The emigration of the working male population has resulted in the involvement of women as a major work-force. Guidelines, with special emphasis on the application of environmental impact assessments for the management of the Himalayas, are proposed. -from Authors
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Ali, S. M. (1990). The Cats of India. Myforest, 26(3), 275–291.
Abstract: Describes the range, behaviour and ecology of lion Panthera leo, tiger P. tigris, leopard P. pardus, snow leopard P. uncia, clouded leopard Neofelis nebylosa and cheetah Acinonyx jubatus. -P.J.Jarvis
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Blomqvist, L., & Rieger, I. (1978). Snow leopard references. International Pedigree Book of Snow Leopards, , 153–160.
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Blomqvist, L., & Nystrom, V. (1980). On identifying snow leopards, Panthera uncia, by their facial markings. International Pedigree Book of Snow Leopards, , 159–167.
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Blomqvist, L. (1982). The 1981 annual report of the captive snow leopards (Panthera uncia) population. International Pedigree Book of Snow Leopards, 3.
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Bowling, B. (2004). The Legal Status of Snow Leopards in Afghanistan. United Nations Environment Programme.
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Hussain, S. (2003). The status of the snow leopard in Pakistan and its conflict with local farmers (Vol. 37).
Abstract: Between 1998 and 2001 I carried out surveys in four areas in the Baltistan district of the Northern Areas of Pakistan to estimate the population of the snow leopard and to examine the threats to its future conservation. I estimate that a total of 36-50 snow leopards are present in the areas surveyed. Based on the availability of suitable snow leopard habitat and of its prey species, I estimate that 90-120 snow leopards are potentially present in Baltistan and 300-420 throughout its range within Pakistan's borders. Although this estimate is higher than extrapolations based on earlier surveys, the long-term future of the snow leopard is under threat. This is mainly due to retaliatory killings by farmers, and poaching for pelts and other body parts. Species-focused conservation policies, particularly those targeting ungulates for the promotion of trophy hunting, may constitute an additional threat to snow leopard conservation in the region. However, all forms of threats to the snow leopard in Baltistan appear to emanate from the relatively poor economic conditions of the local people.
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Jackson, R. (1999). Snow Leopards, Local People and Livestock Losses: Finding solutions using Appreciative Participatory Planning and Action (APPA) in the Markha Valley of Hemis National Park, Ladakh, October 6-26, 1999. Cat News, 31(Autumn), 22–23.
Abstract: Livestock depredation is emerging as a significant issue across the Himalaya, including the Hemis National Park (HNP) in Ladakh. Some consider that this protected area harbors the best snow leopard population in India, but local herders perceive the endangered snow leopard as a serious threat to their livelihood.
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McCarthy, K., Fuller, T., Ming, M., McCarthy, T., Waits, L., & Jumabaev, K. (2008). Assessing Estimators of Snow Leopard Abundance (Vol. 72).
Abstract: The secretive nature of snow leopards (Uncia uncia) makes them difficult to monitor, yet conservation efforts require accurate and precise methods to estimate abundance. We assessed accuracy of Snow Leopard Information Management System (SLIMS) sign surveys by comparing them with 4 methods for estimating snow leopard abundance: predator:prey biomass ratios, capture-recapture density estimation, photo-capture rate, and individual identification through genetic analysis. We recorded snow leopard sign during standardized surveys in the SaryChat Zapovednik, the Jangart hunting reserve, and the Tomur Strictly Protected Area, in the Tien Shan Mountains of Kyrgyzstan and China. During June-December 2005, adjusted sign averaged 46.3 (SaryChat), 94.6 (Jangart), and 150.8 (Tomur) occurrences/km. We used
counts of ibex (Capra ibex) and argali (Ovis ammon) to estimate available prey biomass and subsequent potential snow leopard densities of 8.7 (SaryChat), 1.0 (Jangart), and 1.1 (Tomur) snow leopards/100 km2. Photo capture-recapture density estimates were 0.15 (n = 1 identified individual/1 photo), 0.87 (n = 4/13), and 0.74 (n = 5/6) individuals/100 km2 in SaryChat, Jangart, and Tomur, respectively. Photo-capture rates
(photos/100 trap-nights) were 0.09 (SaryChat), 0.93 (Jangart), and 2.37 (Tomur). Genetic analysis of snow leopard fecal samples provided minimum population sizes of 3 (SaryChat), 5 (Jangart), and 9 (Tomur) snow leopards. These results suggest SLIMS sign surveys may be affected by observer bias and environmental variance. However, when such bias and variation are accounted for, sign surveys indicate relative abundances similar to photo rates and genetic individual identification results. Density or abundance estimates based on capture-recapture or ungulate biomass did not agree with other indices of abundance. Confidence in estimated densities, or even detection of significant changes in abundance of snow leopard, will require more effort and better documentation.
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