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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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Ming, M., XuFeng, Turghan, M., & Shoujin, Y. (2004). Report on Snow Leopard (Uncia uncia) Surveys in Tomur, Xinjiang, China 2004. Xinjian, P.R. of China: Xinjiang Snow Leopard Group; Xinjiang Institute of Ecology and Geography; Chinese Academy of Science.
Abstract: The Snow Leopard (Uncia uncia) investigation in the Tomur area is the second step of the “Project of Snow Leopard Study in Xinjiang”. In this part of the project, we collected information on the distribution , abundance and population size of the snow leopard in this area. The investigation lasted for 3 weeks, between October 17 and November 7th, 2004. During the 22 days of field work, we surveyed 4 different places in Wensu County, Aksu District: e.g. Pochenzi and the Muzat River area, Bozdun and the Little Kuzbay River area, Yinyar and the Tomur River area, Taglak and the Qiong Tailan River area. The 4 main areas, along with a few other valleys, covered most of the Tomur National Conservation Zone. In total, we ran 42 transects. In 15 transects, we found signs left by snow leopards. We also collected 15 fecal samples for diet analysis. This time we interviewed nearly 90 local people from different nationalities: e.g. Han (Chinese), Uygur and Kyrgyz people, including herdsmen, geologists, mineworkers, drivers, veterinarians, businessmen, forest officials, soldiers and policemen. They provided us with an array of information on the historical and current distribution and abundance of the snow leopard in this area.
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Janecka, J.E., Jackson, R., Yuquang, Z., Diqiang, L., Munkhtsog, B., et al. (2008). Population monitoring of snow leopards using noninvasive collection of scat samples: a pilot study (Vol. 11).
Abstract: The endangered snow leopard Panthera uncia occurs in rugged, high-altitude regions of Central Asia. However, information on the status of this felid is limited in many areas. We conducted a pilot study to optimize molecular markers for the analysis of snow leopard scat samples and to examine the feasibility of using noninvasive genetic methods for monitoring this felid. We designed snow leopard-specific primers for seven microsatellite loci that amplified shorter segments and avoided flanking sequences shared with repetitive elements. By redesigning primers we maximized genotyping success and minimized genotyping errors. In addition, we tested a Y chromosome-marker for sex identification and designed a panel of mitochondrial DNA primers for examining genetic diversity of snow leopards using scat samples. We collected scats believed to be from snow leopards in three separate geographic regions including north-western India, central China and southern Mongolia. We observed snow leopard scats in all three sites despite only brief 2-day surveys in each area. There was a high rate of species misidentification in the field with up to 54% of snow leopard scats misidentified as red fox. The high rate of field misidentification suggests sign surveys incorporating scat likely overestimate snow leopard abundance. The highest ratio of snow leopard scats was observed in Ladakh (India) and South Gobi (Mongolia), where four and five snow leopards were detected, respectively. Our findings describe a species-specific molecular panel for analysis of snow leopard scats, and highlight the efficacy of noninvasive genetic surveys for monitoring snow leopards. These methods enable large-scale noninvasive studies that will provide information critical for conservation of snow leopards.
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Ferguson, D. A. (1997). International Cooperation for Snow Leopard and Biodiversity Conservation: The Government Perspective. In R.Jackson, & A.Ahmad (Eds.), (pp. 178–193). Lahore, Pakistan: Islt.
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Korablev, M. P., Poyarkov, A. D., Karnaukhov, A. S., Zvychaynaya, E. Y., Kuksin, A. N., Malykh, S. V., Istomov, S. V., Spitsyn, S. V., Aleksandrov, D. Y., Hernandez-Blanco, J. A., Munkhtsog, B., Munkhtogtokh, O., Putintsev, N. I., Vereshchagin, A. S., Becmurody, A., Afzunov, S., Rozhnov, V. V. (2021). Large-scale and fine-grain population structure and genetic diversity of snow leopards (Panthera uncia Schreber, 1776) from the northern and western parts of the range with an emphasis on the Russian population. Conservation Genetics, .
Abstract: The snow leopard (Panthera uncia Schreber, 1776) population in Russia and Mongolia is situated at the northern edge of the range, where instability of ecological conditions and of prey availability may serve as prerequisites for demographic instability and, consequently, for reducing the genetic diversity. Moreover, this northern area of the species distribution is connected with the western and central parts by only a few small fragments of potential habitats in the Tian-Shan spurs in China and Kazakhstan. Given this structure of the range, the restriction of gene flow between the northern and other regions of snow leopard distribution can be expected. Under these conditions, data on population genetics would be extremely important for assessment of genetic diversity, population structure and gene flow both at regional and large-scale level. To investigate large-scale and fine-grain population structure and levels of genetic diversity we analyzed 108 snow leopards identified from noninvasively collected scat samples from Russia and Mongolia (the northern part of the range) as well as from Kyrgyzstan and Tajikistan (the western part of the range) using panel of eight polymorphic microsatellites. We found low to moderate levels of genetic diversity in the studied populations. Among local habitats, the highest heterozygosity and allelic richness were recorded in Kyrgyzstan (He = 0.66 ± 0.03, Ho = 0.70 ± 0.04, Ar = 3.17) whereas the lowest diversity was found in a periphery subpopulation in Buryatia Republic of Russia (He = 0.41 ± 0.12, Ho = 0.29 ± 0.05, Ar = 2.33). In general, snow leopards from the western range exhibit greater genetic diversity (He = 0.68 ± 0.04, Ho = 0.66 ± 0.03, Ar = 4.95) compared to those from the northern range (He = 0.60 ± 0.06, Ho = 0.49 ± 0.02, Ar = 4.45). In addition, we have identified signs of fragmentation in the northern habitat, which have led to significant genetic divergence between subpopulations in Russia. Multiple analyses of genetic structure support considerable genetic differentiation between the northern and western range parts, which may testify to subspecies subdivision of snow leopards from these regions. The observed patterns of genetic structure are evidence for delineation of several management units within the studied populations, requiring individual approaches for conservation initiatives, particularly related to translocation events. The causes for the revealed patterns of genetic structure and levels of genetic diversity are discussed.
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Jackson, R., & Fox, J. L. (2000). Report on Fifth Slims Training Workshop (Nepal) (Vol. xvii). Seattle: International Snow Leopard Trust.
Abstract: Nepal's snow leopards (Uncia uncia) are mostly found along the northern border with Tibet (China). The largest populations are in Dolpa, Mugu, Manang, and Myagdi Districts. Potential habitat totals about 30,000 square kilometers. Numbers are estimated at 300-500, but surveys are urgently needed to confirm this rough guess. Like elsewhere, the primary threats center on poaching, depletion of natural prey, livestock depredation and resultant retributive killing of snow leopards by herders, and the lack of public awareness and support for conserving snow leoaprds, especially among local herders.
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Jackson, R. (1995). Third Slims Workshop held in Mongolia (Vol. xiii). Seattle: Islt.
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Jackson, R., & Fox, J. L. (1997). Snow Leopard Conservation: Accomplishments and Research Priorities. In R.Jackson, & A.Ahmad (Eds.), (pp. 128–144). Pakistan: Islt.
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Ahmad, I., Hunter, D. O., & Jackson, R. (1997). A Snow Leopard and Prey Species Survey in Khunjerab National Park, Pakistan. In R.Jackson, & A.Ahmad (Eds.), (pp. 92–95). Lahore, Pakistan: Islt.
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Jackson, R., Hunter, D., & Emmerich, C. (1997). SLIMS: An Information Management System for Promoting the Conservation of Snow Leopards and Biodiversity in the Mountains of Central Asia. In R.Jackson, & A.Ahmad (Eds.), (pp. 75–91). Lahore, Pakistan: Islt.
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