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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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Aruge, S., Batool, H., Khan, F. M., Abbas, F. I., Janjua, S. (2019). A pilot study�genetic diversity and population structure of snow leopards of Gilgit-Baltistan, Pakistan, using molecular techniques. PeerJ, (7672), 1–14.
Abstract: Background: The Hindu Kush and Karakoram mountain ranges in Pakistan�s northern areas are a natural habitat of the snow leopard (Panthera uncia syn. Uncia uncia) but the ecological studies on this animal are scarce since it is human shy by nature and lives in dif!cult mountainous tracts. The pilot study is conducted to exploit the genetic diversity and population structure of the snow leopard in this selected natural habitat of the member of the wildcat family in Pakistan.
Method: About 50 putative scat samples of snow leopard from !ve localities of Gilgit-Baltistan (Pakistan) along with a control sample of zoo maintained male snow leopard were collected for comparison. Signi!cant quality and quantity of genomic DNA was extracted from scat samples using combined Zhang�phenol�chloroform method and successful ampli!cation of cytochrome c oxidase I gene (190 bp) using mini-barcode primers, seven simple sequence repeats (SSR) markers and Y-linked AMELY gene (200 bp) was done.
Results: Cytochrome c oxidase I gene sequencing suggested that 33/50 (66%) scat samples were of snow leopard. AMELY primer suggested that out of 33 ampli!ed samples, 21 (63.63%) scats were from male and 12 (36.36%) from female leopards. Through successful ampli!cation of DNA of 25 out of 33 (75.75%) scat samples using SSR markers, a total of 68 alleles on seven SSR loci were identi!ed, showing low heterozygosity, while high gene "ow between population.
Discussion: The low gene flow rate among the population results in low genetic diversity causing decreased diversi!cation. This affects the adaptability to climatic changes, thus ultimately resulting in decreased population size of the species.
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Poyarkov, A. D., Munkhtsog, B., Korablev, M. P., Kuksin, A. N., Alexandrov, D. Y., Chistopolova, M. D., Hernandez-Blanco, J. A., Munkhtogtokh, O., Karnaukhov, A. S., Lkhamsuren, N., Bayaraa, M., Jackson, R. M., Maheshwari, A., Rozhnov, V. V. (2020). Assurance of the existence of a trans-boundary population of the snow leopard (Panthera uncia) at Tsagaanshuvuut – Tsagan- Shibetu SPA at the Mongolia-Russia border. Integrative Zoology, (15), 224–231.
Abstract: The existence of a trans-boundary population of the snow leopard (Panthera uncia) that inhabits the massifs of Tsagaanshuvuut (Mongolia) – Tsagan-Shibetu (Russia) was determined through non-invasive genetic analysis of scat samples and by studying the structure of territory use by a collared female individual. The genetic analysis included species identification of samples through sequencing of a fragment of the cytochrome b gene and individual identification using a panel of 8 microsatellites. The home range of a female snow leopard marked with a satellite Global Positioning System (GPS) collar was represented by the minimum convex polygon method (MCP) 100, the MCP 95 method and the fixed kernel 95 method. The results revealed insignificant genetic differentiation between snow leopards that inhabit both massifs (minimal fixation index [FST]), and the data testify to the unity of the cross-border group. Moreover, 5 common individuals were identified from Mongolian and Russian territories. This finding clearly shows that their home range includes territories of both countries. In addition, regular movement of a collared snow leopard in Mongolia and Russia confirmed the existence of a cross-border snow leopard group. These data support that trans-boundary conservation is important for snow leopards in both countries. We conclude that it is crucial for Russia to study the northern range of snow leopards in Asia.
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Rode, J., Pelletier, A., Fumey, J., Rode, S., Cabanat, A. L., Ouvrard, A., Chaix, B., White, B., Harnden, M., Xuan, N. T., Vereshagin, A., Casane, D. (2020). Diachronic monitoring of snow leopards at Sarychat-Ertash State Reserve (Kyrgyzstan) through scat genotyping: a pilot study. bioRxiv, , 1–21.
Abstract: Snow leopards (Panthera uncia) are a keystone species of Central Asia’s high mountain ecosystem. The species is listed as vulnerable and is elusive, preventing accurate population assessments that could inform conservation actions. Non-invasive genetic monitoring conducted by citizen scientists offers avenues to provide key data on this species that would otherwise be inaccessible. From 2011 to 2015, OSI-Panthera citizen science expeditions tracked signs of presence of snow leopards along transects in the main valleys and crests of the Sarychat-Ertash State Reserve (Kyrgyzstan). Scat samples were genotyped at seven autosomal microsatellite loci and at a X/Y locus for sex identification, which allowed estimating a minimum of 11 individuals present in the reserve from 2011 to 2015. The genetic recapture of 7 of these individuals enabled diachronic monitoring, providing indications of individuals’ movements throughout the reserve. We found putative family relationships between several individuals. Our results demonstrate the potential of this citizen science program to get a precise description of a snow leopard population through time.
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Khanyari, M., Zhumabai uulu, K., Luecke, S., Mishra, C.,
Suryawanshi, K. (2020). Understanding population baselines: status of mountain ungulate
populations in the Central Tien Shan Mountains, Kyrgyzstan. Mammalia, , 1–8.
Abstract: We assessed the density of argali (Ovis ammon) and ibex
(Capra sibirica) in Sarychat-Ertash Nature Reserve and its neighbouring
Koiluu valley. Sarychat is a protected area, while Koiluu is a human-use
landscape which is a partly licenced hunting concession for mountain
ungulates and has several livestock herders and their permanent
residential structures. Population monitoring of mountain ungulates can
help in setting measurable conservation targets such as appropriate
trophy hunting quotas and to assess habitat suitability for predators
like snow leopards (Panthera uncia). We employed the double-observer
method to survey 573 km2 of mountain ungulate habitat inside Sarychat
and 407 km2 inside Koiluu. The estimated densities of ibex and argali in
Sarychat were 2.26 (95% CI 1.47–3.52) individuals km-2 and 1.54 (95% CI
1.01–2.20) individuals km-2, respectively. Total ungulate density in
Sarychat was 3.80 (95% CI 2.47–5.72) individuals km-2. We did not record
argali in Koiluu, whereas the density of ibex was 0.75 (95% CI
0.50–1.27) individuals km-2. While strictly protected areas can achieve
high densities of mountain ungulates, multi-use areas can harbour
meaningful
though suppressed populations. Conservation of mountain ungulates and
their predators can be enhanced by maintaining Sarychat-like “pristine”
areas interspersed within a matrix of multi-use areas like Koiluu.
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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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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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Durbach, I., Borchers, D., Sutherland, C., Sharma, K. (2020). Fast, flexible alternatives to regular grid designs for spatial
capture–recapture..
Abstract: Spatial capture–recapture (SCR) methods use the location of
detectors (camera traps, hair snares and live-capture traps) and the
locations at which animals were detected (their spatial capture
histories) to estimate animal density. Despite the often large expense
and effort involved in placing detectors in a landscape, there has been
relatively little work on how detectors should be located. A natural
criterion is to place traps so as to maximize the precision of density
estimators, but the lack of a closed-form expression for precision has
made optimizing this criterion computationally demanding. 2. Recent
results by Efford and Boulanger (2019) show that precision can be well
approximated by a function of the expected number of detected
individuals and expected number of recapture events, both of which can
be evaluated at low computational cost. We use these results to develop
a method for obtaining survey designs that optimize this approximate
precision for SCR studies using count or binary proximity detectors, or
multi-catch traps. 3. We show how the basic design protocol can be
extended to incorporate spatially varying distributions of activity
centres and animal detectability. We illustrate our approach by
simulating from a camera trap study of snow leopards in Mongolia and
comparing estimates from our designs to those generated by regular or
optimized grid designs. Optimizing detector placement increased the
number of detected individuals and recaptures, but this did not always
lead to more precise density estimators due to less precise estimation
of the effective sampling area. In most cases, the precision of density
estimators was comparable to that obtained with grid designs, with
improvement in some scenarios where approximate CV(¬D) < 20% and density
varied spatially. 4. Designs generated using our approach are
transparent and statistically grounded. They can be produced for survey
regions of any shape, adapt to known information about animal density
and detectability, and are potentially easier and less costly to
implement. We recommend their use as good, flexible candidate designs
for SCR surveys when reasonable knowledge of model parameters exists. We
provide software for researchers to construct their own designs, in the
form of updates to design functions in the r package oSCR.
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Kyes, R., & Chalise, M. K. (2005). Assessing the Status of the Snow Leopard Population in Langtang National Park, Nepal.
Abstract: This project is part of an ongoing snow leopard study established in 2003 with support from the ISLT. The study involves a multifaceted approach designed to provide important baseline data on the status of the snow leopard population in Langtang National Park (LNP), Nepal and to generate long-term support and commitment to the conservation of snow leopards in the park. The specific aims include: 1) conducting a population survey of the snow leopards in LNP, focusing on distribution and abundance; 2) assessing the status of prey species populations in the park; and 3) providing educational outreach programs on snow leopard conservation for local school children (K-8) living in the park. During the 2004 study period, snow leopard signs were observed (including pugmarks and scats) although somewhat fewer than in 2003. Similarly, the average herd size of the snow leopards' primary prey species in LNP (the Himalayan thar) was a bit lower than in 2003. There is speculation that the thar populations and the snow leopards may be moving to more remotes areas of the park perhaps in response to increasing pressure from domestic livestock grazing. This possibility is being addressed during the 2005 study period.
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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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Blomqvist, L. (1982). The 1981 annual report of the captive snow leopards (Panthera uncia) population. International Pedigree Book of Snow Leopards, 3.
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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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Blomqvist, L. (1981). The 1980 annual report of the captive snow leopard (Panthera uncia) population and a review at the breeding results during the 1970's. Helsinki Zoo Annual Report. Helsinki: Helsinki Zoo.
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Blomqvist, L. (1980). The 1979 world register for the captive population of snow leopards, Panthera uncia. In L. Blomqvist (Ed.), International Pedigree Book of Snow Leopards (pp. 62–75). Helsinki: Helsinki Zoo.
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Aryal, A. (2009). Final Report On Demography and Causes of Mortality of Blue Sheep (Pseudois nayaur) in Dhorpatan Hunting Reserve in Nepal.
Abstract: A total of 206 individual Blue sheep Pseudois nayaur were estimated in Barse and Phagune blocks of Dhorpatan Hunting Reserve (DHR) and population density was 1.8 Blue sheep/sq.km. There was not significant change in population density from last 4 decades. An average 7 animals/herd (SD-5.5) were classified from twenty nine herds, sheep per herds varying from 1 to 37. Blue sheep has classified into sex ratio on an average 75 male/100females was recorded in study area. The sex ratio was slightly lower but not significantly different from the previous study. Population of Blue sheep was seen stable or not decrease even there was high poaching pressure, the reason may be reducing the number of predators by poison and poaching which has
supported to increase blue sheep population. Because of reducing the predators Wolf Canis lupus, Wild boar population was increasing drastically in high rate and we can observed wild boar above the tree line of DHR. The frequency of occurrence of different prey species in scats of different predators shows that, excluding zero values, the frequencies of different prey species were no significantly different (ö2= 10.3, df = 49, p > 0.05). Most of the scats samples (74%) of Snow leopard, Wolf, Common Leopard, Red fox's cover one prey species while two and three species were present in 18% and 8%, respectively. Barking deer Muntiacus muntjak was the most frequent (18%) of total diet composition of common leopards. Pika Ochotona roylei was the most frequent (28%), and Blue sheep was in second position for diet of snow leopards which cover 21% of total diet composition. 13% of diet covered non-food item such as soil, stones, and vegetable. Pika was most frequent on Wolf and Red fox diet which covered 32% and 30% respectively. There was good positive relationship between the scat density and Blue sheep consumption rate, increasing the scat density, increasing the Blue sheep consumption rate. Blue sheep preference by different predators such as Snow leopard, Common leopard, Wolf and Red fox were 20%, 6%, 13% and 2% of total prey species respectively.
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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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Jackson, R. (1991). Snow Leopards and Other Wildlife in the Qomolang,a Nature Preserve of Tibet (Vol. ix). Seattle: International Snow Leopard Trust.
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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., & Roe, J. (2002). Preliminary Observations On Non-Invasive Techniques for Identifying Individual Snow Leopards and Monitoring Populations.. Islt: Islt.
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Aripjanov M.P. (1990). Rare mammals of South-West Tien Shan.
Abstract: Rare mammal species such as free-toiled bat, Menzbier's marmot (endemic to the Western Tien Shan), Tien-Shan brown bear, Central Asian otter, Turkestan lynx, snow leopard, and wild sheep inhabit the South-West Tien-Shan (Uzbekistan). Brief data on animal encounters and main threats are given.
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Anonymous. (1999). Livestock Predation Control Workshop.
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Kuzminikh, I. (1994). Notes on the status of captive snow leopards in regions of the former Soviet Union. In J.L.Fox, & D.Jizeng (Eds.), (199). Usa: Islt.
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Koshkarev, E. (2002). Strategy of Snow Leopard Conservation in the Range.. Islt: Islt.
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