Fox, J. L., & Chundawat, R. S. (1995). Wolves in the Transhimalayan region of India: The continued survival of a low-density population. Canadian Circumpolar Institute Occasional Publication No.35; Ecology and conservation of wolves in a changing world, 35, 95–103.
Abstract: Canadian Cirumpolar Institute, University of Alberta, Edmonton, Alberta, Canada/Second North American Symposium on Wolves, Edmonton, Alberta, Canada, August 25-27, 1992
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Sharma, R. K., Sharma, K., Borchers, D., Bhatnagar, Y. V., Suryawanshi, K. S., Mishra, C. (2020). Spatial variation in population-density, movement and detectability of snow leopards in
2 a multiple use landscape in Spiti Valley, Trans-Himalaya. bioRxiv, .
Abstract: The endangered snow leopard Panthera uncia occurs in human use landscapes in the mountains of South and Central Asia. Conservationists generally agree that snow leopards must be conserved through a land-sharing approach, rather than land-sparing in the form of strictly protected areas. Effective conservation through land-sharing requires a good understanding of how snow leopards respond to human use of the landscape. Snow leopard density is expected to show spatial variation within a landscape because of variation in the intensity of human use and the quality of habitat. However, snow leopards have been difficult to enumerate and monitor. Variation in the density of snow leopards remains undocumented, and the impact of human use on their populations is poorly understood. We examined spatial variation in snow leopard density in Spiti Valley, an important snow leopard landscape in India, via spatially explicit capture recapture analysis of camera trap data. We camera trapped an area encompassing a minimum convex polygon of 953 km . We estimated an overall density of 0.49 (95% CI: 0.39-0.73) adult snow leopards per 100 km . Using AIC, our best model showed the density of snow leopards to depend on wild prey density, movement about activity centres to depend on altitude, and the expected number of encounters at the activity centre to depend on topography. Models that also used livestock biomass as a density covariate ranked second, but the effect of livestock was weak. Our results highlight the importance of maintaining high density pockets of wild prey populations in multiple use landscapes to enhance snow leopard conservation.
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Freeman, H. (1980). The snow leopard, today and yesterday. In L. Blomqvist (Ed.), International Pedigree Book of Snow Leopards, Vol. 2 (Vol. 2, pp. 37–43). Helsinki: Helsinki Zoo.
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Poyarkov, A. D., & Subbotin, A. E. (2002). The Snow Leopard Status in Russia.. Islt: Islt.
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Poyarkov, A. D., & Subbotin, A. E. (2002). Strategic Priorities and the System of Measures for Snow Leopard Conservation in Russia.. Islt: Islt.
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Allen, P., & Macray, D. (2002). Snow Leopard Enterprises Description and Summarized Business Plan.. Seattle: Islt.
Abstract: The habitat for both humans and snow leopards in Central Asia is marginal, the ecosystem fragile. The struggle for humans to survive has often, unfortunately, brought them into conflict with the region's dwindling snow leopard populations. Herders commonly see leopards as a threat to their way of life and well-being. Efforts to improve the living conditions of humans must consider potential impacts on the environment. Likewise, conservation initiatives cannot ignore humans as elements of the landscape with a right to live with dignity and pride. Based on these principles, the International Snow Leopard Trust has developed a new conservation model that addresses the needs of all concerned.
We call it Snow Leopard Enterprises..
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Smirnov, M. N., Sokolov, G. A., & Zyryanov, A. N. (1990). The Snow Leopard (Uncia Uncia Scherber 1776) in Siberia. Int.Nat.Ped.Book of Snow Leopards, 6, 9–15.
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Sokov, A. I. (1990). The present status of the snow leopard population in the south western Pamir-Altai Mountains (Tadzhikistan). Int.Ped.Book of Snow Leopards, 6, 33–36.
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Zhiryakov V.A. (1989). The influence of the predators on population trend of the ungulates in the Almaty nature reserve.
Abstract: The data on predators and ungulates population dynamics in Almaty Nature reserve (Kazakhstan) in 1983-1987s are given. The number of snow leopard is stable (3-5 individuals), the density is 0.06 indi/1000 ha. An insignificant increase of Siberian ibex' number (660 to 700) with density of 36 indi/1000 ha is recorded.
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Spearing, A. (2002). The Snow Leopard in Zanskar, Jammu & Kashmir, NW India.. Islt: Islt.
Abstract: The paper summarises the alleged conflict between livestock herders and wild predators in the trans-Himalayan region of Zanskar, NW India. The snow leopard (Uncia uncia) is seriously threatened by this conflict, with at least thirteen killed in the last seven years in 3 of the study villages alone. Results of snow leopard sign surveys are described, revealing significant increases since the last survey (1986) consistent with alleged increases in livestock depredation. Attitudes toward wildlife and opinions on population trends are assessed. Depredation hotspots are identified and the cost of livestock predation is
discussed in terms of recent developments and social changes in the Zanskar region.
Illegal hunting and retaliatory killing are described, and essential programs and
conservation measures are suggested. Even at this early stage, there appears scope for raising rural incomes and lifting the burden of co-existence with snow leopard and other unique mountain fauna.
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International Snow Leopard Trust. (2000). Snow Leopard News Spring 2000. Seattle, Wa: Islt.
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International Snow Leopard Trust. (2001). Snow Leopard News Spring 2001. Seattle, WA: Islt.
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Suryawanshi, K. R., Khanyari, M., Sharma, K., Lkhagvajav, P., Mishra, C. (2019). Sampling bias in snow leopard population estimation studies. Population Eccology, , 1–9.
Abstract: Accurate assessments of the status of threatened species and their conservation
planning require reliable estimation of their global populations and robust monitoring
of local population trends. We assessed the adequacy and suitability of studies
in reliably estimating the global snow leopard (Panthera uncia) population. We
compiled a dataset of all the peer-reviewed published literature on snow leopard
population estimation. Metadata analysis showed estimates of snow leopard density
to be a negative exponential function of area, suggesting that study areas have generally
been too small for accurate density estimation, and sampling has often been
biased towards the best habitats. Published studies are restricted to six of the
12 range countries, covering only 0.3�0.9% of the presumed global range of the
species. Re-sampling of camera trap data from a relatively large study site
(c.1684 km2) showed that small-sized study areas together with a bias towards
good quality habitats in existing studies may have overestimated densities by up to
five times. We conclude that current information is biased and inadequate for generating
a reliable global population estimate of snow leopards. To develop a rigorous
and useful baseline and to avoid pitfalls, there is an urgent need for
(a) refinement of sampling and analytical protocols for population estimation of
snow leopards (b) agreement and coordinated use of standardized sampling protocols
amongst researchers and governments across the range, and (c) sampling
larger and under-represented areas of the snow leopard's global range.
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Mallon, D. P., Jackson, R. M. (2017). A downlist is not a demotion: Red List status and reality. Oryx, , 1–5.
Abstract: Assessments of biodiversity status are needed to
track trends, and the IUCN Red List has become the accepted
global standard for documenting the extinction
risk of species. Obtaining robust data on population size is
an essential component of any assessment of a species� status,
including assessments for the IUCN Red List. Obtaining
such estimates is complicated by methodological and
logistical issues, which are more pronounced in the case of
cryptic species, such as the snow leopard Panthera uncia.
Estimates of the total population size of this species have,
to date, been based on little more than guesstimates, but a
comprehensive summary of recent field research indicates
that the conservation status of the snow leopard may be
less dire than previously thought. A revised categorization,
from Endangered to Vulnerable, on the IUCN Red List was
proposed but met some opposition, as did a recent, similar
recategorization of the giant panda Ailuropoda melanoleuca.
Possible factors motivating such attitudes are discussed.
Downlisting on the IUCN Red List indicates that the species
concerned is further from extinction, and is always to be
welcomed, whether resulting from successful conservation
intervention or improved knowledge of status and trends.
Celebrating success is important to reinforce the message
that conservation works, and to incentivize donors.
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Karanth, K. U., Nichols, J.D., Seidensticker, J., Dinerstein, E., David Smith, J.L., McDougal, C., Johnsingh, A.J.T., Chundawat, R.S., Thapar, V. (2003). Science deficiency in conservation practice: the monitoring of tiger populations in India. Animal Conservation, 6, 141–146.
Abstract: Conservation practices are supposed to get refined by advancing scientific knowledge. We study this phenomenon in the context of monitoring tiger populations in India, by evaluating the ‘pugmark census method’ employed by wildlife managers for three decades. We use an analytical framework of modern animal population sampling to test the efficacy of the pugmark censuses using scientific data on tigers and our field observations. We identify three critical goals for monitoring tiger populations, in order of increasing sophistication: (1) distribution mapping, (2) tracking relative abundance, (3) estimation of absolute abundance. We demonstrate that the present census-based paradigm does not work because it ignores the first two simpler goals, and targets, but fails to achieve, the most difficult third goal. We point out the utility and ready availability of alternative monitoring paradigms that deal with the central problems of spatial sampling and observability. We propose an alternative sampling-based approach that can be tailored to meet practical needs of tiger monitoring at different levels of refinement.
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Zhiryakov V.A. (2002). Ecology and behavior of the Snow leopard in Kazakhstan (Vol. N 1-4.).
Abstract: The data on spreading, numbers and population density of snow leopard in Kazakhstan are given in this article. The total number of the snow leopard in Kazakhstan is evaluated in 100-110 individuals. The everywhere occurred numbers' reduction under the influence of the anthropogenic factors is observed. The snow leopard' inhabitation area varies from 20 to 120 square kilometers depending on its regions. Sex and composition of the population and its aggregative behavior are given. The dynamics of numbers and mortality are estimated.
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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.
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Xu, F., Ma, M., & Wu, Y. - Q. (2007). Population density and habitat utilization of ibex in Tomur National Nature Reserve,Xinjiang,China.
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Zhirjakov, V. A. (1990). On the ecology of the snow leopard in the Zailisky-Alatau (Northern Tien Shan). Int Ped Book of Snow Leopards, 6, 25–30.
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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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Blomqvist, L. (1988). The Development of the Captive Snow Leopard Population between 1984-1985. In H.Freeman (Ed.), (pp. 181–189). India: International Snow Leopard Trust and Wildlife Institute of India.
Abstract: In 1984, 73 (31/41/1) cubs were born of which 47 (24/23) survived for six months or longer. This gives us a cub mortality of 35.6%. A total of 38 (11/26/1) snow leopards died in captivity in 1984. Five (2/3) specimens were wild caught at the same time in the USSR and then located in the zoos of ALma-Ata, Moscow and Novosibirsk. At the End of 1984, the captive stock consisted of 332 (168/164) snow leopards, an increase of forty animals from the previous year.
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Chapron, G., & Legendre, S. (2002). Some Insights Into Snow Leopard (Uncia Uncia) Demography By Using Stage Structured Population Models.. Seattle: Islt.
Abstract: Based on the limited data available on snow leopard demography, we developed deterministic and stochastic stage-structured demographic models to study the population dynamics of this large cat. Our results reveal that even small leopard populations can persist provided their demographic parameters remain high, but less favorable scenarios would require larger population sizes. Population growth rate is more sensitive to breeder survivals than to any other parameters. A snow leopard population would start declining if yearly mortality claims more than 1/5 of the population. This study identifies poaching as a major threat to snow leopard survival and stresses the importance of long-term studies to better understand snow leopard population dynamics.
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Fox, J. L., & Jackson, R. M. (2002). Blue Sheep and Snow Leopards in Bhutan and Trans-Himalayan Nepal: Recent Status Evaluations and Their Application to Research and Conservation.. Islt: Islt.
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Harris, R. B. (1994). Dealing with uncertainty in counts of mountain ungulates. In J.L.Fox, & D. Jizeng (Eds.), (pp. 105–111). Usa: Islt.
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Henschel, P., & Ray, J. (2003). Leopards in African Rainforests: Survey and Monitoring Techniques (Wildlife Conservation Society, Ed.).
Abstract: Monitoring Techniques Forest leopards have never been systematically surveyed in African forests, in spite of their potentially vital ecological role as the sole large mammalian predators in these systems. Because leopards are rarely seen in this habitat, and are difficult to survey using the most common techniques for assessing relative abundances of forest mammals, baseline knowledge of leopard ecology and responses to human disturbance in African forests remain largely unknown. This technical handbook sums up the experience gained during a two-year study of leopards by Philipp Henschel in the Lop‚ Reserve in Gabon, Central Africa, in 2001/2002, supplemented by additional experience from carnivore studies conducted by Justina Ray in southwestern Central African Republic and eastern Congo (Zaire) . The main focus of this effort has been to develop a protocol that can be used by fieldworkers across west and central Africa to estimate leopard densities in various forest types. In developing this manual, Henschel tested several indirect methods to assess leopard numbers in both logged and unlogged forests, with the main effort devoted to testing remote photography survey methods developed for tigers by Karanth (e.g., Karanth 1995, Karanth & Nichols 1998; 2000; 2002), and modifying them for the specific conditions characterizing African forest environments. This handbook summarizes the results of the field testing, and provides recommendations for techniques to assess leopard presence/absence, relative abundance, and densities in African forest sites. We briefly review the suitability of various methods for different study objectives and go into particular detail on remote photography survey methodology, adapting previously developed methods and sampling considerations specifically to the African forest environment. Finally, we briefly discuss how camera trapping may be used as a tool to survey other forest mammals. Developing a survey protocol for African leopards is a necessary first step towards a regional assessment and priority setting exercise targeted at forest leopards, similar to those carried out on large carnivores in Asian and South American forests.
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