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.
|
Maheshwari, A., Sharma, D. (2010). Snow leopard conservation in Uttarakhand and Himachal Pradesh.
Abstract: The Greater and Trans Himalayan regions of Uttarakhand and Himachal Pradesh have great potential in terms of wildlife (flora and fauna). This survey was the first ever survey for the snow leopard in Uttarakhand and some of the areas of Himachal Pradesh till date. It confirms the presence of snow leopard in Uttarakhand on the basis of indirect evidence. We could not find any evidence of snow leopard from surveyed areas in Himachal Pradesh – but it certainly does not mean that there are no snow leopards in the surveyed areas.
Areas above 3000m elevation were selected for this survey in 10 protected areas of both the states. Status and distribution of snow leopard was assessed through indirect evidence (n=13) found between 3190 and 4115m. On average, one indirect evidence of snow leopard was found for every 39km walked. About 39% of the evidence was found on the hill-slope followed by valley floor (30%), cliff (15%) and 8% from both stream bed and scree slope. Preferred mean slope was 28° (maximum 60°). Snow leopard-human conflicts were assessed through questionnaire surveys from Govind Pashu Vihar, Askot Wild Life Sanctuary and Dung (Munsiari) areas. They revealed that livestock depredation is the only component of conflict and contributed to 36% of the total diet (mule, goat and sheep) of snow leopard. Blue sheep and rodents together comprised 36.4% of the total diet.
|
Koshkarev, E. (1998). Snow leopard along the border of Russia and Mongolia. Cat News, 28, 12–14.
Abstract: The author discusses the distribution of snow leopards along the border of Russia and Mongolia. The range extension of the leopard indicates their ability to cross desert areas that separate mountain habitats.habitat; range extension; scat analysis; techniques; tracks/tracking | snow leopard
|
|
Koshkarev, E. P. (1992). Range Structure, Numbers and Population Status of the Snow Leopard in the Tien Shan (Vol. x). Seattle: International Snow Leopard Trust.
|
|
Mallon, D. (1993). Snow Leopard in Kanji Wildlife Reserve, Ladakh (Vol. xi). Seattle: Islt.
|
|
Kreuzberg, E., Esipov, A., Bykova, E., & Vashetko, E. (2000). Number, Distribution and Status of Habitats for Snow Leopard in Gissar Nature Reserve and Neighboring Areas (Vol. xvi). Seattle, Wa: Islt.
|
Mallon, D. (1984). The snow leopard in Ladakh. International Pedigree Book of Snow Leopards, 4, 23–37.
Abstract: Reports on 1 summer survey and four winter surveys covering some 3100 km in Ladakh, India. Reports on snow leopard sign commonly found, distribution, prey, attacks on livestock and peoples reaction, mortality factors and conservation status. Suggest recomendations for preventing unnecessary killing of snow leopards and estimates population of 100 to 200 snow leopards in Ladakh
|
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.
|
Wingard, J. R., & Zahler, P. (2006). Silent Steppe: The Illegal Wildlife Trade Crisis in Mongolia (East Asia and Pacific Environment and Social Development Department, Ed.). Washington, D.C.: World Bank.
Abstract: The current study in Mongolia is truly groundbreaking, in that it shows that the problem of commercial wildlife trade is also vast, unsustainable, and a major threat to wildlife populations in other areas. This paper's Executive Summary briefs the topics of wildlife trade in Mongolia, fur trade, medicinal trade, game meat trade, trophy and sport hunting, trade chains and markets, trade sustainability, impacts of wildlife trade on biodiversity conservation, impacts of trade on rural livelihoods, enabling wildlife management, and management recommendations. The main content of the paper includes: wildlife trade survey methods, a history of wildlife trade in Mongolia, wildlife take and trade today, enabling wildlife management, and recommendations and priority actions. The recommendations have been divided into six separate sections, including (1) cross-cutting recommendations, (2) international trade enforcement, (3) domestic trade enforcement, (4) hunting management, (5) trophy and sport hunting management, and (6) community-based approaches. Each section identifies short-term, long-term, and regulatory goals in order of priority within each subsection.
|
|
Yanfa, L., & Bangjie, T. (1988). A Preliminary Study on the Geographical Distribution of Snow Leopards in China. In H.Freeman (Ed.), (pp. 51–63). Interanational Snow Leopard Trust and The Wildlife Institute of India.
|
