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Konrath, R. (1975). Snow leopard born at Milwaukee. Animal Keepers' Forum, 11(11).
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Marma, B. B., Yunchis, V.V. (1969). Biology of the snow leopard (Panthera uncia uncia). Zoologicheskii Zhurnal, 47(11), 1689–1694.
Abstract: The methods to obtain progeny of the snow-leopard (Panthera uncia uncia) in captivity were being elaborated in the zoological garden of Kaunas, Lithuanian SSR. The blood characteristics for snow-leopards is given and compared to that for African lions and Sumatran tigers. A series of internal, external and clinical indices is established. The rut lasts for 5-7 day, the duration of pregnancy equals 98 days. The duration of lactation varies from 3 to 4 months. Sexual maturity is attained on the 3rd-4th year. From 1960 to 1967 in zoological ghardens of the world abuot 29 snow-leopards were born. 14 of them -- in the Kauna zoological garden.
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Kachel, S., Anderson, K., Shokirov, Q. (2022). Predicting carnivore habitat use and livestock depredation risk with false-positive multi-state occupancy models. Biological Conservation, 271(109588), 1–10.
Abstract: The cycle of livestock depredation and retaliatory killing constitutes a major threat to large carnivores worldwide and imposes considerable hardships on human communities. Mitigation efforts are often undertaken with little knowledge of ecological underpinnings and patterns of depredation, limiting conservationists' ability to develop, prioritize, and evaluate solutions. Carnivore detection and depredation data from interviews in affected communities may help address this gap, but such data are often prone to false-positive uncertainty. To address these challenges in the Pamir Mountains of Tajikistan we collected snow leopard, lynx, wolf, and bear detection and depredation reports from local communities via semi-structured interviews. We used a novel hierarchical multi-species multi-state occupancy model that accounted for potential false-positives to investigate carnivore site use and depredation concurrently with respondents' apparent vulnerability to that risk. Estimated false-positive probabilities were small, but failure to account for them overstated site use probabilities and depredation risk for all species. Although individual vulnerability was low, depredation was nonetheless commonplace. Carnivore site use was driven by clear habitat associations, but we did not identify any clearly important large-scale spatial correlates of depredation risk despite considerable spatial variation in that risk. Respondents who sheltered livestock in household corrals reinforced with wire mesh were less likely to report snow leopard depredations. Reducing depredation and retaliation at adequately large scales in the Pamirs will likely require a portfolio of species-specific strategies, including widespread proactive corral improvements. Our approach expanded inference on the often-cryptic processes surrounding human-carnivore conflict even though structured wildlife data were scarce.
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Rashid, W., Shi, J., Rahim, I. U., Dong, S., Ahmad, L. (2020). Research trends and management options in human-snow leopard conflict. Biological Conservation, 242(108413), 1–10.
Abstract: Conservation of the snow leopard (Panthera uncia) is challenging because of its threatened status and increase in human-snow leopard conflict (HSC). The area of occupancy of the snow leopard comprises mountainous regions of Asia that are confronted with various environmental pressures including climate change. HSCs have increased with a burgeoning human population and economic activities that enhance competition between human and snow leopard or its preys. Here we systematically review the peer-reviewed literature from 1994 to 2018 in Web of Science, Google Scholar, Science Direct and PubMed (30 articles), to evaluate the current state of scholarship about HSCs and their management. We determine: 1) the spatio-temporal distribution of relevant researches; 2) the methodologies to assess HSCs; 3) and evaluate existing interventions for conflict management; and 4) the potential options for HSC management. The aim of the current study is thus to identify key research gaps and future research requirements. Of the articles in this review, 60% evaluated the mitigation of HSCs, while only 37% provided actionable and decisive results. Compensation programs and livestock management strategies had high success rates for mitigating HSCs through direct or community-managed interventions. Further research is required to evaluate the efficacy of existing HSC mitigation strategies, many of which, while recommended, lack proper support. In spite of the progress made in HSC studies, research is needed to examine ecological and sociocultural context of HSCs. We suggest future work focus on rangeland management for HSC mitigation, thus ultimately fostering a co-existence between human and snow leopard.
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Bohnett, E., Holmberg, J., Faryabi, S. P., An, L., Ahmad, B., Rashid, W., Ostrowski, S. (2023). Comparison of two individual identification algorithms for snow leopards (Panthera uncia) after automated detection. Ecological Informatics, 77(102214), 1–14.
Abstract: Photo-identification of individual snow leopards (Panthera uncia) is the primary data source for density estimation via capture-recapture statistical methods. To identify individual snow leopards in camera trap imagery, it is necessary to match individuals from a large number of images from multiple cameras and historical catalogues, which is both time-consuming and costly. The camouflaged snow leopards also make it difficult for machine learning to classify photos, as they blend in so well with the surrounding mountain environment, rendering applicable software solutions unavailable for the species. To potentially make snow leopard individual identification available via an artificial intelligence (AI) software interface, we first trained and evaluated image classification techniques for a convolutional neural network, pose invariant embeddings (PIE) (a triplet loss network), and compared the accuracy of PIE to that of the HotSpotter algorithm (a SIFT-based algorithm). Data were acquired from a curated library of free-ranging snow leopards taken in Afghanistan between 2012 and 2019 and from captive animals in zoos in Finland, Sweden, Germany, and the United States. We discovered several flaws in the initial PIE model, such as a small amount of background matching, that was addressed, albeit likely not fixed, using background subtraction (BGS) and left-right mirroring (LR) techniques which demonstrated reasonable accuracy (Rank 1: 74% Rank-5: 92%) comparable to the Hotspotter results (Rank 1: 74% Rank 2: 84%)The PIE BGS LR model, in conjunction with Hotspotter, yielded the following results: Rank-1: 85%, Rank-5: 95%, Rank-20: 99%. In general, our findings indicate that PIE BGS LR, in conjunction with HotSpotter, can classify snow leopards more accurately than using either algorithm alone.
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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.
Keywords: bharal, blue sheep, diet, genetic sampling, naur, Panthera uncia, predation, Pseudois nayaur, scat analysis, snow leopard, wildlife conflict
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Johnson, D. (1994). The National Fish and Wildlife Foundation goes international. Endangered Species Update, A, 11(10), A10.
Abstract: Abstract: The National Fish and Wildlife Foundation (NFWF) which is a conservation organization created in 1984 aims to conserve the species on an international context before they are endangered which will enable a more effective conservation procedure. The NFWF has addressed the causes of endangered species in India and South Asia such as the tiger, Indian wolf and the snow leopard and has supported the conservation efforts of the Siberian tiger. It has cooperated with multi-national organizations to evaluate the best strategy that could be adopted to prevent a future extinction of several species and has supported CITES programs
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Reed-Smith, J., & Kumpf, M. (1998). Snow leopards (Uncia uncia): family group management alternatives. Anim.Keepers' Forum, 25(10), 386–391.
Abstract: The authors offer insights into creating family groups of snow leopards in zoos. The programs at the Denver Zoo, Denver, Colorado, and at John Ball Zoological Gardens, Grand Rapids, Michigan, are highlighted. lgh.
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Maheshwari, A., Sharma, D., Sathyakumar, S. (2013). Snow Leopard (Panthera Uncia) surveys in the Western Himalayas, India. Journal of Ecology and Natural Environmnet, 5(10), 303–309.
Abstract: We conducted surveys above 3000 m elevation in eight protected areas of Uttarakhand and Himachal Pradesh. These surveys provide new information on snow leopard in Uttarakhand on the basis of indirect evidence such as pugmark and scat. Snow leopard evidence (n = 13) were found between 3190 and 4115 m elevation. On an average, scats (n = 09) of snow leopard were found for every 56 km walked and pugmarks (n = 04) for every 126 km walked. Altogether, about 39% of the evidence were found on the hill-slope followed by valley floor (30%), cliff (15%) and 8% from both stream bed and scree slope. Genetic analysis of the scats identified three different individuals by using snow leopard specific primers. Snow leopard-human conflicts were assessed through questionnaire based interviews of shepherds from Govind Pashu Vihar Wildlife Sanctuary, Askot Wildlife Sanctuary and Nanda Devi Biosphere Reserve areas of Uttarakhand. Surveys revealed that livestock depredation (mule, goat and sheep) is the only cause of snow leopard-human conflicts and contributed 36% of the diet of snow leopard. Blue sheep and rodents together comprised 36.4% of the total diet. We found that 68.1% of the surveyed area was used for pastoral activities in Uttarakhand and Himachal Pradesh and 12.3% area was under tourism, defence and developmental activities.
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Shafiq, M. M., & Abid, A. (1998). Status of large mammal species in Khunjerab National Park. Pakistan Journal of Forestry, 48(1-4), 91–96.
Abstract: Study on the current status of large mammals species population was carried out in Khunjerab National Park, Northern Areas. The observation recorded showed that the population of Tibetan Red fox (Vulpes vulpes montana), Snow leopard (Uncia uncia), and Wolf (Canis lupus) have, though a bit, increased but are still in the rank of “Endangered”. While the population of Himalyan Ibex (Cpara ibex sibirica) is increasing more rapidly and their status is now “Common” in the Park. The limited population of Marcopolo sheep (Ovis ammon polii), Tibetan wild Ass (Equus hemionus kiang) and Brown bear (Urus arctos) is still under threat, and comes them under “Critical Endangered” category.
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