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Formozov A.N. (1952). Tiger and snow leopard.
Abstract: Over the last decades tiger, leopard and snow leopard were fully exterminated in many areas, where they formerly were common species and now became very rare ones. Few leopards can still be found in Caucasus, Copet-Dag (Turkmenistan) and south of Primorskiy krai. Irbis is remaining a common species only in the difficult-of-access highland areas of Tien Shan and very rare in the Altai. Tiger traces are sometimes found in the Amudarya river valley and in the taiga Sihote-Alinya in the Far East.
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Khan, J. (2008). Markets for Snow Leopards: Enviropreneur Snapshots (Vol. 26).
Abstract: Over the years, many conservation actions and practices to protect the snow leopard have been tried and tested. Those that have been successful and sustainable are programs that link economics with conservation. Some of these practices may not be appreciated by traditional conservationists, but no one can refute the success of these actions. The saying, “when it pays, it stays,” rings true with snow leopard conservation. Locals have realized that their income and prosperity are linked with the protection of wildlife. For conservation efforts to be effective, it is crucial to involve people who share the snow leopard's mountain environment and provide them with economic incentives for
enhancing and protecting the habitat.
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Natalia, E., Sergey, N., Vyacheslav, R., Fedor, V., Antonio, H. B. J., Andrey, P., Alexander, K., Ekaterina, P. (2017). HELMINTHS OF RARE FELINE SPECIES (FELIDAE) IN SIBERIA AND THE RUSSIAN FAR EAST. International Journal of Research In, , 70–74.
Abstract: Parasites diversity in close-related species of hosts may be different depending on habitat use and climatic conditions. The aim of this study was to
analyze parasites fauna in four felid species inhabiting Russian Far East and South Siberia (including taiga forest and mountain treeless areas). We
have collected 272 feces samples of four felid species: Amur tiger, Amur leopard, snow leopard and Pallas� cat. Helminths (eggs and larvae) in
excrements were studied by flotation using a saturated solution of ammonium nitrate. We have described 10 helminths species in Amur tiger feces, 6
� in Amur leopard, 2 � in snow leopard and 3 � in Pallas� cat. Obviously, snow leopard and Palls� cat had lower helminths diversity than two other
species. These differences can be explained, to some extent, by climatic parameters. The climate in the snow leopard and Pallas' cat habitats is
described by sharp and significant temperature fluctuations – the annual temperature difference can exceed 90°C, which may lead to lower survival of
the number of infectious agents in Pallas' cat excrements. In addition, the snow cover that can protect helminth eggs and larvae from the cold
temperatures especially in Amur tiger and Amur leopard habitats. Possibly, another important factor is the spatial and social organization of Pallas'
cats, with a low frequency of contacts with other individuals. Such way, species-specific differences in helminths were related, probably, with the
species evolution in different habitats
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Din, J. U., Ali, H., Ali, A., Younus, M., Mehmood,, T., Rashid, Y. N., Nawaz, M. A. (2017). Pastoralist-predator interaction at the roof of the world: Conflict dynamics and implications for conservation. Ecology and Society, 22(2).
Abstract: Pastoralism and predation are two major concomitantly known facts and matters of concern for conservation biologists worldwide. Pastoralist-predator conflict constitutes a major social-ecological concern in the Pamir mountain range encompassing Afghanistan, Pakistan, and Tajikistan, and affects community attitudes and tolerance toward carnivores. Very few studies have been conducted to understand the dynamics of livestock predation by large carnivores like snow leopards (Panthera uncia) and wolves (Canis
lupus), owing to the region�s remoteness and inaccessibility. This study attempts to assess the intensity of livestock predation (and resulting perceptions) by snow leopards and wolves across the Afghani, Pakistani, and Tajik Pamir range during the period January 2008�June 2012. The study found that livestock mortality due to disease is the most serious threat to livestock (an average 3.5 animal heads per household per year) and ultimately to the rural economy (an average of US$352 per household per year) as compared to
predation (1.78 animal heads per household per year, US$191) in the three study sites. Overall, 1419 (315 per year) heads of livestock were reportedly killed by snow leopards (47%) and wolves (53%) in the study sites. People with comparatively smaller landholdings and limited earning options, other than livestock rearing, expressed negative attitudes toward both wolves and snow leopards and vice versa. Education was found to be an effective solution to dilute people�s hatred for predators. Low public tolerance of the wolf and
snow leopard in general explained the magnitude of the threat facing predators in the Pamirs. This will likely continue unless tangible and informed conservation measures like disease control and predation compensation programs are taken among others.
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Mishra, C., Allen, P., McCarthy, T., Madhusudan, M. D., Agvaantserengiin, B., & Prins H. (2003). The role of incentive programs in conserving the snow leopard (Vol. 17).
Abstract: Pastoralists and their livestock share much of the habitat of the snow leopard (Uncia uncia) across south and central Asia. The levels of livestock predation by the snow leopard and other carnivores are high, and retaliatory killing by the herders is a direct threat to carnivore populations. Depletion of wild prey by poaching and competition from livestock also poses an indirect threat to the region's carnivores. Conservationists working in these underdeveloped areas that face serious economic damage from livestock losses have turned to incentive programs to motivate local communities to protect carnivores. We describe a pilot incentive program in India that aims to offset losses due to livestock predation and to enhance wild prey density by creating livestock-free areas on common land. We also describe how income generation from handicrafts in Mongolia is helping curtail poaching and retaliatory killing of snow leopards. However, initiatives to offset the costs of living with carnivores and to make conservation beneficial to affected people have thus far been small, isolated, and heavily subsidized. Making these initiatives more comprehensive, expanding their coverage, and internalizing their costs are future challenged for the conservation of large carnivores such as the snow leopard.
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Johnson, W. E., Dratch, P. A., Martenson, J. S., & O'Brien, S. J. (1996). Resolution of recent radiations within three evolutionary lineages of Felidae using mitochondrial restriction fragment length polymorphism variation. Journal of Mammalian Evolution, 3(2), 97–120.
Abstract: Patterns of mitochondrial restriction fragment length polymorphism (RFLP) variation were used to resolve more recent relationships among the species of the Felidae ocelot lineage, domestic cat lineage, and pantherine lineage. Twenty-five of 28 restriction enzymes revealed site variation in at least 1 of 21 cat species. The ocelot lineage was resolved into three separate sister taxa groups: Geoffroy's cat (Oncifelis geoffroyi) and kodkod (O. guigna), ocelot (Leopardus pardalis) and margay (L. wiedii), and pampas cat (Lynchailurus colocolo) and most of the tigrina samples (Leopardus tigrina). Within the domestic cat lineage, domestic cat (Felis catus), European wild cat (F. silvestris), and African wild cat (F. libyca) formed a monophyletic trichotomy, which was joined with sand cat (F. margarita) to a common ancestor. Jungle cat (F. chaus) and black-footed cat (F. nigripes) mtDNAs diverged earlier than those of the other domestic cat lineage species and are less closely related. Within the pantherine lineage, phylogenetic analysis identified two distinct groups, uniting lion (P. leo) with leopard (P. pardus) and tiger (P. tigris) with snow leopard (P. uncia).
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Janovsky, M., Grone, A., Ciardo, D., Vollm, J., Burnens, A., Fatzer, R., et al. (2006). Phaeohyphomycosis in a Snow Leopard (Uncia uncia) due to Cladophialophora bantiana (Vol. 134).
Abstract: Phaeohyphomycosis caused by Cladophialophora bantiana was diagnosed in a 5-month-old snow leopard with spastic paralysis of the hind legs and inability to defaecate or urinate. At post-mortem examination, a greenish soft mass resembling an abscess was found on one side of the epidural space at the fourth lumbar vertebral body. Histological examination revealed a purulent meningitis with myelomalacia. Dematiaceous fungal hyphae, present within the inflammatory infiltrate, were identified as C. bantiana by culture and sequence analysis of the 18S ribosomal RNA gene. This neurotropic fungus rarely affects organs other than the brain in human beings and cats, and has been reported only occasionally in Europe. The case described suggests that phaeohyphomycosis due to C. bantiana infection may be recognized more frequently in the future and the possible involvement of organs other than the brain should be borne in mind.
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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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Hellstrom, M., Kruger, E., Naslund, J., Bisther, M., Edlund, A., Hernvall, P., Birgersson, V., Augusto, R., Lancaster, M. L. (2023). Capturing environmental DNA in snow tracks of polar bear, Eurasian lynx and snow leopard towards individual identification. Frontiers in Conservation Science, 4(1250996), 1–9.
Abstract: Polar bears (Ursus maritimus), Eurasian lynx (Lynx lynx) and snow leopards (Panthera uncia) are elusive large carnivores inhabiting snow-covered and remote areas. Their effective conservation and management are challenged by inadequate population information, necessitating development of novel data collection methods. Environmental DNA (eDNA) from snow tracks (footprints in snow) has identified species based on mitochondrial DNA, yet its utility for individual-based analyses remains unsolved due to challenges accessing the nuclear genome. We present a protocol for capturing nuclear eDNA from polar bear, Eurasian lynx and snow leopard snow tracks and verify it through genotyping at a selection of microsatellite markers. We successfully retrieved nuclear eDNA from 87.5% (21/24) of wild polar bear snow tracks, 59.1% (26/44) of wild Eurasian lynx snow tracks, and the single snow leopard sampled. We genotyped over half of all wild polar bear samples (54.2%, 13/24) at five loci, and 11% (9/44) of wild lynx samples and the snow leopard at three loci. Genotyping success from Eurasian lynx snow tracks increased to 24% when tracks were collected by trained rather than untrained personnel. Thirteen wild polar bear samples comprised 11 unique genotypes and two identical genotypes; likely representing 12 individual bears, one of which was sampled twice. Snow tracks show promise for use alongside other non-invasive and conventional methods as a reliable source of nuclear DNA for genetic mark-recapture of elusive and threatened mammals. The detailed protocol we present has utility for broadening end user groups and engaging Indigenous and local communities in species monitoring.
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Anonymous. (2000). Snow Leopard Smuggler Detained in Northwest China.
Abstract: Police have detained a man for trying to smuggle two snow leopards through the Xining Railway Station in northwest China's Qinghai Province. Ma Deliang was stopped by police after he attempted to pass the butchered snow leopards off as “beef” at a shop in Sichuan in southwest China. Suspicious of the contents in Ma's big sack, police asked experts from the local forestry bureau to check the meat and they found it to be flesh of two snow leopards, an endangered species on top state protection. Ma later confessed that he bought the dead snow leopards at a local market and wanted to smuggle them to Deyang, a city in southwest China's Sichuan province. Police also searched Ma's home and found dear heads, antlers and lynx and fox furs. Snow leopards live in highlands of altitudes between 3,000 to 6, 000 m above sea level. The population of the species has dwindled greatly since the 19th century.
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