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Koshkarev, E. (1994). Evaluation of the presence of snow leopard and ibex in Southern Siberia. In J.Fox, & D.Jizeng (Eds.), (pp. 17–27). Seattle/USA: Islt.
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Fox, J. L., & Chundawat, R. S. (1997). Evaluation of Snow Leopard Sign Abundance in the Upper Indus Valley. In R.Jackson, & A.Ahmad (Eds.), (pp. 66–74). Lahore, Pakistan: Islt.
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Poyarkov, A. D., Samoylova, G. S., & Subbotin, A. E. (2002). Evaluation of Potential Habitats of Snow Leopard (Uncia Uncia, Schreb.) In Altay-Khangay-Sayan Region and in Territory of Russian Federation: GIS Approach.. Islt: Islt.
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Dustov J. (2002). Evaluation of current status of large mammals in the Chatkal nature reserve.
Abstract: The counts of species populations such as Menzbier's marmot, roe-deer, ibex, wild boar, wolf, Tien Shan brown bear, and snow leopard has been made on permanent transects in the Chatkal reserve for 18 years. Data on of the population numbers is provided. 11 encounters with snow leopard were registered during a period of 1975 through 1979. Two encounters were recorded in 2000.
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Jalanka, H. H. (1989). Evaluation and comparison of 2 ketamine-based immobilization techniques in snow leopards (Panthera uncia). Journal of Zoo and Wildlife Medicine, 20(2), 163–169.
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Namgail, T. (2004). Eurasian lynx in Ladakh. Cat News, 40, 21–22.
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Jackson, R., Roe, J., Wangchuk, R., & Hunter, D. (2006). Estimating Snow Leopard Population Abundance Using Photography and Capture-Recapture Techniques (Vol. 34).
Abstract: Conservation and management of snow leopards (Uncia uncial) has largely relied on anecdotal evidence and presence-absence data due to their cryptic nature and the difficult terrain they inhabit. These methods generally lack the scientific rigor necessary to accurately estimate population size and monitor trends. We evaluated the use of photography in capture-mark-recapture (CMR) techniques for estimating snow leopard population abundance and density within Hemis National Park, Ladakh, India. We placed infrared camera traps along actively used travel paths, scent-sprayed rocks, and scrape sites within 16-30 kmý sampling grids in successive winters during January and March 2003-2004. We used head-on, oblique, and side-view camera configurations to obtain snow leopard photographs at varying body orientations. We calculated snow leopard abundance estimates using the program CAPTURE. We obtained a total of 66 and 49 snow leopard captures resulting in 8.91 and 5.63 individuals per 100 trap nights during 2003 and 2004, respectively. We identified snow leopards based on the distinct pelage patters located primarily on the forelimbs, flanks, and dorsal surface of the tail. Capture probabilities ranged from 0.33 to 0.67. Density estimates ranged from 8.49 (SE+0.22) individuals per 100 kmý in 2003 to 4.45 (SE+0.16) in 2004. We believe the density disparity between years is attributable to different trap density and placement rather than to an actual decline in population size. Our results suggest that photographic capture-mark-recapture sampling may be a useful tool for monitoring demographic patterns. However, we believe a larger sample size would be necessary for generating a statistically robust estimate of population density and abundance based on CMR models.
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Chetri, M., Odden, M., Sharma, K., Flagstad, O., Wegge, P. (2019). Estimating snow leopard density using fecal DNA in a large landscape in north-central Nepal. Global Ecology and Conservation, (17), 1–8.
Abstract: Although abundance estimates have a strong bearing on the conservation status of a
species, less than 2% of the global snow leopard distribution range has been sampled
systematically, mostly in small survey areas. In order to estimate snow leopard density
across a large landscape, we collected 347 putative snow leopard scats from 246 transects
(490 km) in twenty-six 5 5km sized sampling grid cells within 4393 km2 in Annapurna-
Manaslu, Nepal. From 182 confirmed snow leopard scats, 81 were identified as belonging
to 34 individuals; the remaining were discarded for their low (<0.625) quality index. Using
maximum likelihood based spatial capture recapture analysis, we developed candidate
model sets to test effects of various covariates on density and detection of scats on transects.
The best models described the variation in density as a quadratic function of
elevation and detection as a linear function of topography. The average density estimate of
snow leopards for the area of interest within Nepal was 0.95 (SE 0.19) animals per 100 km2
(0.66e1.41 95% CL) with predicted densities varying between 0.1 and 1.9 in different parts,
thus highlighting the heterogeneity in densities as a function of habitat types. Our density
estimate was low compared to previous estimates from smaller study areas. Probably,
estimates from some of these areas were inflated due to locally high abundances in overlap
zones (hotspots) of neighboring individuals, whose territories probably range far beyond
study area borders. Our results highlight the need for a large-scale approach in snow
leopard monitoring, and we recommend that methodological problems related to spatial
scale are taken into account in future snow leopard research.
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Planning Wildlife Conservation in Leh and Kargil Districts of Ladakh, J. and K. (1999). Establising Snow Leopard Information Management System (SLIMS) at WII Phase 1 – Trans Himalaya.
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Kadamshoev M. (1990). Establishment of highland nature reserves required (Vol. Part 1.).
Abstract: Human population growth in the Mountain Badakhshan autonomous province will result in changes of wild life habitat. The first highland nature reserve (Muksu river basin) is proposed to be established within the habitat of Marco Polo sheep, Siberian ibex, Tien Shan brown bear, snow leopard, Himalayan and Tibetan snow-cock, bar-headed goose, bearded and Himalayan vultures. The Mountain Badakhshan nature reserve will serve as a reference for other highland landscapes of the USSR, a `fiduciary' of gene bank containing valuable endemic, rare, and endangered animal and plant species.
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