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Waits, L. P., Buckley-Beason, V. A., Johnson, W. E., Onorato, D., & McCarthy, T. (2006). A select panel of polymorphic microsatellite loci for individual identification of snow leopards (Panthera uncia)
(Vol. 7).
Abstract: Snow leopards (Panthera uncia) are elusive endangered carnivores found in remote mountain regions of Central Asia. New methods for identifying and counting snow leopards are needed for conservation and management efforts. To develop molecular genetic tools for individual identification of hair and faecal samples, we screened 50 microsatellite loci developed for the domestic cat (Felis catus) in 19 captive snow leopards. Forty-eight loci were polymorphic with numbers of alleles per locus ranging from two to 11. The probability of observing matching genotypes for unrelated individuals (2.1 x10-11) and siblings (7.5x10-5) using the 10 most polymorphic loci was low, suggesting that this panel would easily discriminate among individuals in the wild.
Keywords: identification; leopard; leopards; microsatellites,noninvasive genetic sampling,Panthera uncia,snow leopard; panthera; Panthera-uncia; panthera uncia; snow; snow-leopard; snow-leopards; snow leopard; snow leopards; uncia; endangered; carnivores; carnivore; mountain; region; central; Central Asia; asia; methods; conservation; management; Molecular; individual identification; Hair; domestic; cat; felis; captive; number; probability; using; wild
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Wegge, P., Shrestha, R., Flagstad, O. (2012). Snow leopard Panthera uncia predation on livestock and wild prey in a mountain valley in northern Nepal: implications for conservation management. Wildlife Biology, 18(10.2981/11-049), 131–141.
Abstract: The globally endangered snow leopard Panthera uncia is sparsely distributed throughout the rugged mountains in Asia.
Its habit of preying on livestock poses a main challenge to management. In the remote Phu valley in northern Nepal, we obtained reliable information on livestock losses and estimated predator abundance and diet composition from DNA analysis and prey remains in scats. The annual diet consisted of 42%livestock. Among the wild prey, bharal (blue sheep/ naur) Pseudois nayaur was by far the most common species (92%). Two independent abundance estimates suggested that there were six snow leopards in the valley during the course of our study. On average, each snow leopard killed about one livestock individual and two bharal permonth. Predation loss of livestock estimated fromprey remains in scats was 3.9%, which was in concordance with village records (4.0%). From a total count of bharal, the only large natural prey in the area and occurring at a density of 8.4 animals/km2 or about half the density of livestock, snow leopards were estimated to harvest 15.1% of the population annually. This predation rate approaches the natural, inherent recruitment rate of this species; in Phu the proportion of kids was estimated at 18.4%. High livestock losses have created a hostile attitude against the snow leopard and mitigation measures are needed. Among innovative management schemes now being implemented throughout the species’ range, compensation and insurance programmes coupled with other incentive measures are encouraged, rather than measures to reduce the snow leopard’s access to livestock. In areas like the Phu valley, where the natural prey base consists mainly of one ungulate species that is already heavily preyed upon, the latter approach, if implemented, will lead to increased predation on this prey, which over time may suppress numbers of both prey and predator. |
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Wei, L., Wu, X., & Jiang, Z. (2008). The complete mitochondrial genome structure of snow leopard Panthera uncia.
Abstract: The complete mitochondrial genome (mtDNA) of snow leopard Panthera uncia was obtained by using the polymerase chain reaction (PCR) technique based on the PCR fragments of 30 primers we designed. The entire mtDNA sequence was 16 773 base pairs (bp) in length, and the base composition was: A-5,357ª“,Ž+bp (31.9%); C-4,444ª”,Ž+bp (26.5%); G-2,428ª“,Ž+bp (14.5%); T-4,544ª”,Ž+bp (27.1%). The structural characteristics [0] of the P. uncia mitochondrial genome were highly similar to these of Felis catus, Acinonyx jubatus, Neofelis nebulosa and other mammals. However, we found several distinctive features of the mitochondrial genome of Panthera unica. First, the termination codon of COIII was TAA, which differed from those of F. catus, A. jubatus and N. nebulosa. Second, tRNASer (AGY), which lacked the ''DHU'' arm, could not be folded into the typical cloverleaf-shaped structure. Third, in the control region, a long repetitive sequence in RS-2 (32ª“,Ž+bp) region was found with 2 repeats while one short repetitive segment (9ª”,Ž+bp) was found with 15 repeats in the RS-3 region. We performed phylogenetic analysis based on a 3 816ª",Ž+bp concatenated sequence of 12S rRNA, 16S rRNA, ND2, ND4, ND5, Cyt b and ATP8 for P. uncia and other related species, the result indicated that P. uncia and P. leo were the sister species, which was different from the previous findings. (c) 2008 Springer Science+Business Media B.V.
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Weiskopf, S. R., Kachel, S. M., McCarthy, K. P. (2016). What Are Snow Leopards Really Eating? Identifying Bias in Food-Habit Studies. Wildlife Society Bulletin, , 1–8.
Abstract: Declining prey populations are widely recognized as a primary threat to snow leopard (Panthera
uncia) populations throughout their range. Effective snow leopard conservation will depend upon reliable knowledge of food habits. Unfortunately, past food-habit studies may be biased by inclusion of nontarget species in fecal analysis, potentially misinforming managers about snow leopard prey requirements. Differentiation between snow leopard and sympatric carnivore scat is now cost-effective and reliable using genetics. We used fecal mitochondrial DNA sequencing to identify scat depositors and assessment bias in snow leopard food-habit studies. We compared presumed, via field identification, and genetically confirmed snow leopard scats collected during 2005 and 2012 from 4 sites in Central Asia, using standard forensic microscopy to identify prey species. Field identification success varied across study sites, ranging from 21% to 64% genetically confirmed snow leopard scats. Our results confirm the importance of large ungulate prey for snow leopards. Studies that fail to account for potentially commonplace misidentification of snow leopard scat may mistakenly include a large percentage of scats originating from other carnivores and report inaccurate dietary assessments. Relying on field identification of scats led to overestimation of percent occurrence, biomass, and number of small mammals consumed, but underestimated values of these measures for large ungulates in snow leopard diet. This clarification suggests that the conservation value of secondary prey, such as marmots (Marmota spp.) and other small mammals, may be overstated in the literature; stable snow leopard populations are perhaps more reliant upon large ungulate prey than previously understood. |
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Xiao, C., Bai, D., Lambert, J. P., Li, Y., Cering, L., Gong, Z., Riordan, P., Shi, K. (2022). How Snow Leopards Share the Same Landscape with Tibetan Agro-pastoral Communities in the Chinese Himalayas. Journal of Resources and Ecology, 13(3), 483–500.
Abstract: The snow leopard (Panthera uncia) inhabits a human-altered alpine landscape and is often tolerated by residents in regions where the dominant religion is Tibetan Buddhism, including in Qomolangma NNR on the northern side of the Chinese Himalayas. Despite these positive attitudes, many decades of rapid economic development and population growth can cause increasing disturbance to the snow leopards, altering their habitat use patterns and ultimately impacting their conservation. We adopted a dynamic landscape ecology perspective and used multi-scale technique and occupancy model to better understand snow leopard habitat use and coexistence with humans in an 825 km2 communal landscape. We ranked eight hypothetical models containing potential natural and anthropogenic drivers of habitat use and compared them between summer and winter seasons within a year. HABITAT was the optimal model in winter, whereas ANTHROPOGENIC INFLUENCE was the top ranking in summer (AICcw≤2). Overall, model performance was better in the winter than in the summer, suggesting that perhaps some latent summer covariates were not measured. Among the individual variables, terrain ruggedness strongly affected snow leopard habitat use in the winter, but not in the summer. Univariate modeling suggested snow leopards prefer to use rugged land in winter with a broad scale (4000 m focal radius) but with a lesser scale in summer (30 m); Snow leopards preferred habitat with a slope of 22° at a scale of 1000 m throughout both seasons, which is possibly correlated with prey occurrence. Furthermore, all covariates mentioned above showed inextricable ties with human activities (presence of settlements and grazing intensity). Our findings show that multiple sources of anthropogenic activity have complex connections with snow leopard habitat use, even under low human density when anthropogenic activities are sparsely distributed across a vast landscape. This study is also valuable for habitat use research in the future, especially regarding covariate selection for finite sample sizes in inaccessible terrain.
Keywords: habitat use; landscape ecology; occupancy model; Qomolangma; Panthera uncia
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Xu, A., Jiang, Z., Li, C., Guo, J., Da, S., Cui, Q., et al. (2008). Status and conservation of the snow leopard Panthera uncia in the Gouli Region, Kunlun Mountains, China (Vol. 42).
Abstract: The elusive snow leopard Panthera unica is a rare and little studied species in China. Over 1 March-15 May 2006 we conducted a survey for the snow leopard in the Gouli Region, East Burhanbuda Mountain, Kunlun Mountains, Qinghai Province, China, in an area of c. 300 km2 at altitudes of 4,000-4,700 m. We surveyed 29 linear transects with a total length of c. 440 km, and located a total of 72 traces (pug marks, scrapes and urine marks) of snow leopard along four of the transects. We obtained eight photographs of snow leopard from four of six camera traps. We also recorded 1,369 blue sheep, 156 Tibetan gazelles, 47 argali, 37 red deer and one male white-lipped deer. We evaluated human attitudes towards snow leopard by interviewing the heads of 27 of the 30 Tibetan households living in the study area. These local people did not consider that snow leopard is the main predator of their livestock, and thus there is little retaliatory killing. Prospects for the conservation of snow leopard in this area therefore appear to be good. We analysed the potential threats to the species and propose the establishment of a protected area for managing snow leopard and the fragile alpine ecosystem of this region. (c) 2008 Fauna & Flora International.
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Yanfa, L. (1985). A preliminary investigation into the geographic distribution of the snow leopard Panthera uncia Schreber. Acta Theriologica Sinica, 5(3), 184–188.
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Yu, C., Ding, N., Li, Y., Liu, Y, Lyu, Z., Munkhtsog, B., Wuliji., Ma, Z., Se, Y., Pei, W., Gao, Y., Zhang, Y., Han, Q., Shi, K. (2022). Preliminary results from applying satellite-tracking on snow leopards for the first time in China. Global Ecology and Conservation, 40(e02346), 1–7.
Abstract: The lack of snow leopards telemetry studies in China has hampered researchers in studying the movement ecology and home range sizes of snow leopards, the knowledge gap of which has affected effective planning and improvement of snow leopard protected areas in China. In 2021, we conducted China’s first snow leopard satellite-tracking project in Qilianshan National Park, China, one of the most representative mountain areas of snow leopard habitat. The outcomes of the research aims to apply gained understanding on snow leopard home range to enhance management and planning of snow leopard protected area. Here we summarize the preliminary home range results on the first three satellite-tracked snow leopards in China. The three snow leopards were followed between 3 and 6 months yielding a total of 7845 GPS locations. Using
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Zhang, C., Ma, T., Ma, D. (2023). Status of the snow leopard Panthera uncia in the Qilian Mountains, Gansu Province, China. Oryx, , 1–6.
Abstract: Population density estimation is integral to the effective conservation and management of wildlife. The snow leopard Panthera uncia is categorized as Vulnerable on the IUCN Red List, and reliable information on its density is a prerequisite for its conservation and management. Little is known about the status of the snow leopard in the central and eastern Qilian Mountains, China. To address this, we estimated the population density of the snow leopard using a spatially explicit capture–recapture model based on camera trapping in Machang in the central and eastern Qilian Mountains during January–March 2019. We set up
40 camera traps and recorded 84 separate snow leopard captures over 3,024 trap-days. We identified 18 individual snow leopards and estimated their density to be 2.26/100 km. Our study provides baseline information on the snow leopard and the first population estimate for the species in the central and eastern Qilian Mountains. |