Jackson, R., Roe, J., Wangchuk, R., & Hunter, D. (2005). Surveying Snow Leopard Populations with Emphasis on Camera Trapping: A Handbook. Sonoma, California: The Snow Leopard Conservancy.
Abstract: This handbook provides an introduction to snow leopard population survey techniques, followed by a detailed account of camera trapping methods.During the 2002 through 2004 winter field seasons, the Snow Leopard Conservancy experimented with infrared camera trapping techniques to define a methodology suitable for the high altitude environment.
In 2001 and 2002, much of our time was spent familiarizing ourselves with various infrared camera traps, their operation and setup, and comparing the effectiveness of different models and sensor types. We placed infrared camera traps along frequently used travel corridors at or near scent-sprayed rocks (rock scents) and scrape sites within 16 km2 sampling cells between January and March in 2003 and 2004. A total of 66 and 49 captures of snow leopards were tallied during 2003 and 2004, resulting in an overall capture success of 8.91 and 5.63 individuals per 100 trap-nights, respectively. Capture probabilities ranged from 0.33 to 0.46. Density estimates ranged from 8.49 ± 0.22 individuals per 100 km2 in 2003 to 4.45 ± 0.16 in 2004, with the disparity between years largely attributed to different trapping densities. Snow leopard abundance estimates were calculated using the computer program CAPTURE.
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Joslin, P. (1988). A Phototrapline for Cold Temperatures. In H.Freeman (Ed.), (pp. 121–128). India: International Snow Leopard Trust and WIldlife Institute of India.
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Koshkarev, E., & Vyrypaev, V. (2000). The snow leopard after the break-up of the Soviet Union. Cat News, 32, 9–11.
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Koshkarev, E. P. (1990). On the environment-related stability of snow leopard (Uncia uncia) populations in connection with their distribution in the natural habitats and changes for spread within the USSR. Int.Ped.Book of Snow Leopards, 6, 37–50.
Abstract: The stability of animal populations in respect of the influence of the environment is well known to be conditioned by their location in the natural habitat and their ability to establish new territories. In the peripheral regions of natural habitat, however-in the zone that is ecologically least favourable-the situation of the animal is most unstable. This is due to increased pressure of environmental factors which favour neither a high frequency of contacts between individuals belonging to sperate populations nor an increase in the number of such contatcs and their stabilization. In our opinion, this describes the situation that has come about in certain regions inhabited by the snow leopard in the Soviet Union.
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Lama, T. T. (2001). Snow Leopard Conservation Annual Progress Report.
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Lui, C. -guang, Zheng, C. -wu, & Ren, J. -rang. (2003). Research Foods and Food Sources About Snow Leopard (Panthera uncia) (Vol. 31).
Abstract: During 1984-1987, 1992-1995, and 1998-2001, the author researched snow leopard, white lipped deer, kiang, and argali in Qinghai, Gansu, Xingiang, and Sichuan. He collected 644 snow leopard droppings, and analyzed kinds of foods and sources from perch. Snow leopard's foods include most main foods, main foods, comparative foods and lesser foods. Studied one another
index of faunistic congruence of foods species that from various distribution and variation both perch vertical variety and foods of snow leopard.
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Mallon, D. (1984). The Snow Leopard, Panthera uncia, in Mongolia. Int.Ped.Book of Snow Leopards, 4, 3–9.
Abstract: In the International Pedigree Book of Snow Leopards 3, Blomqvist and Sten notes (1982) that no information had been recieved on the snow leopard in Mongolia. The present paper sets out to repair that omission by summarising the information in print on snow leopards in Mongolia and giving a brief account of its distribution in the country. This is essentially a review paper and it is hoped that more precise data may be obtained from fieldwork carried out in the future by Mongolian zoologist. The author worked in Mongolia for two years 1975-1977, and during that time collected information on mammals of Mongolia. Information on the snow leopard was obtained from colleagues at the State University of Mongolia; from zoologists and hunters; from herdsmen and local informants from all parts of the country and from three journeys made by the author: to the eastern Gobi Altai; the Khangai mountains, and a 2000 km journey through western Altai. In this paper, the term “Mongolia” refers to the territory of the Mongolian peoples Republic
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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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McCarthy, T. (2000). Snow Leopard Conservation Comes of Age.
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Ming, M., Munkhtsog, B., Xu, F., Turghan, M., Yin, S. -jing, & Wei, S. - D. (2005). Markings as Indicator of Snow Leopard in Field Survey, in Xinjiang.
Abstract: The Snow Leopard (Uncia uncia) was a very rare species in China. The survey on the markings of Snow Leopard in Ahay and Tianshan Mountains is the major activity of the Project of Snow Leopard in Xinjiang, supported by International Snow Leopard Trust(ISLT)and Xinjiang Conservation Fund(XCF). During the field work from Sep to Nov 2004 the Xinjiang Snow Leopard Group(XSLG) set 67 transects of a total length of 47 776 m with mean transect length is 7 1 3 m at 9 locations.Total of 1 l 8 markings of Snow Leopards were found in 27 transects the mean density is 247km. The markings of Snow Leopard included the pug marks or footprints, scrapes, feces, bloodstain, scent spray, urine, hair or fur, claw rake, remains of prey corpse, sleep site, roar and others. From the quantity and locations of marks the XSLG got the information on habitat selection distribution region and relative abundance of the Snow Leopard in the study areas. The survey also provided knowledge on distribution and abundance of major prey potential conservation problems and human attitudes to Snow Leopards by taking 200 questionnaires in the study areas.
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