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Ishunin G.I. (1978). Nature reserves and sanctuaries in Uzbekistan.
Abstract: The protected area network in Uzbekistan is represented by 12 nature reserves (with total area of 254,000 ha) and nine sanctuaries (with total area of 217,837 ha). Protected territories and waters are divided into three types: desert, mountain, and floodplain lakes. Snow leopard is met in the Chatkal, Kizilsu, Miraka, and Zaamin nature reserves and Akbulak sanctuary.
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Ishunin G.I. (1963). Game mammals and birds of northern slopes of the Turkestan ridge.
Abstract: There are 27 mammal species in the mountains of Turkestan ridge, 17 of which are good for trade or sport hunting. However, many of them have become non-numerous because of overhunting or destruction of their natural complexes (forest cutting, erosion, etc.). In Turkestan ridge of Uzbekistan, snow leopard is protected only in the Zaamin nature reserve.
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Ishunin G.I. (1989). The Felids family Felidae Gray, 1821.
Abstract: Zoolites of the Felidae family are known from the Upper Eocene Lower Pliocene in Eurasia, Africa, and North America. Two sub-families are know to inhabit the territory of the USSR and adjacent territories: the extinct sabre-toothed Felidae species Machairodontia and now existing Felidae species. In the USSR the extinct Felidae species were found to exist in Upper Miocene, Upper and Middle Pliocene, and Pleistocene. In Eurasia panthers has been know since early Pliocene. Three species were found in Uzbekistan – the extinct cave lion Felidae sd†l…†… (Goldfuss, 1810), and now existing P…nth†a… tigris, P…nth†a… pardus. The ancient finds and modern habitats are briefly described. Genus Uncia is represented by one species snow leopard or irbis. Probably it appeared in later Pliocene or Pleistocene in the mountain of Central Asia. In Uzbekistan, remains of snow leopard were found in the Samarqand region in the layer of Upper Pleistocene or Holocene. Probably it moved into the area in Pleistocene or the period of glacier removal in the Western Tien Shan mountains, Turkestan, Zeravshan, and Hissar ridges.
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Ismagilov M.I. (1983). Protection of rare mammals in Kazakhstan.
Abstract: The following rare mammals can be found in nature reserves of Kazakhstan: argali, goitered gazelle, kulan, snow leopard, stone marten, Tien Shan brown bear, manul, Turkistan lynx, Menzbier's marmot, and porcupine. The rest of rare mammal species (three insectivorous species, seven rodent, eight predator, and two ungulate species) are outside of protected areas and require special protection measures.
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Jackson, R., & Fox, J. L. Snow Leopard and Prey Species Workshop in Bhutan.
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Jackson, R. (1992). SSC Plan for Snow Leopard.
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Jackson, R., & Wangchuk, R. (2004). A Community-Based Approach to Mitigating Livestock Depredation by Snow Leopards (Vol. 9).
Abstract: Livestock depredation by the endangered snow leopard (Panthera uncia) _is an increasingly contentious issue in Himalayan villages, especially in or near protected areas. Mass attacks in which as many as 100 sheep and goats are killed in a single incident inevitably result in retaliation by local villagers. This article describes a community-based conservation initiative to address this problem in Hemis National Park, India. Human-wildlife conflict is alleviated by predator-proofing villagers' nighttime livestock pens and by enhancing household incomes in environmentally sensitive and culturally compatible ways. The authors have found that the highly participatory strategy described here (Appreciative Participatory Planning and Action-APPA) leads to a sense of project ownership by local stakeholders, communal empowerment, self-reliance, and willingness to co-exist with
snow leopards. The most significant conservation outcome of this process is the protection from retaliatory poaching of up to five snow leopards for every village's livestock pens that are made predator-proof._
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Jackson, R., Roe, J., Wangchuk, R., & Hunter, D. (2006). Estimating Snow Leopard Population Abundance Using Photography and Capture-Recapture Techniques (Vol. 34).
Abstract: Conservation and management of snow leopards (Uncia uncial) has largely relied on anecdotal evidence and presence-absence data due to their cryptic nature and the difficult terrain they inhabit. These methods generally lack the scientific rigor necessary to accurately estimate population size and monitor trends. We evaluated the use of photography in capture-mark-recapture (CMR) techniques for estimating snow leopard population abundance and density within Hemis National Park, Ladakh, India. We placed infrared camera traps along actively used travel paths, scent-sprayed rocks, and scrape sites within 16-30 kmý sampling grids in successive winters during January and March 2003-2004. We used head-on, oblique, and side-view camera configurations to obtain snow leopard photographs at varying body orientations. We calculated snow leopard abundance estimates using the program CAPTURE. We obtained a total of 66 and 49 snow leopard captures resulting in 8.91 and 5.63 individuals per 100 trap nights during 2003 and 2004, respectively. We identified snow leopards based on the distinct pelage patters located primarily on the forelimbs, flanks, and dorsal surface of the tail. Capture probabilities ranged from 0.33 to 0.67. Density estimates ranged from 8.49 (SE+0.22) individuals per 100 kmý in 2003 to 4.45 (SE+0.16) in 2004. We believe the density disparity between years is attributable to different trap density and placement rather than to an actual decline in population size. Our results suggest that photographic capture-mark-recapture sampling may be a useful tool for monitoring demographic patterns. However, we believe a larger sample size would be necessary for generating a statistically robust estimate of population density and abundance based on CMR models.
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Janecka, J.E., Jackson, R., Yuquang, Z., Diqiang, L., Munkhtsog, B., et al. (2008). Population monitoring of snow leopards using noninvasive collection of scat samples: a pilot study (Vol. 11).
Abstract: The endangered snow leopard Panthera uncia occurs in rugged, high-altitude regions of Central Asia. However, information on the status of this felid is limited in many areas. We conducted a pilot study to optimize molecular markers for the analysis of snow leopard scat samples and to examine the feasibility of using noninvasive genetic methods for monitoring this felid. We designed snow leopard-specific primers for seven microsatellite loci that amplified shorter segments and avoided flanking sequences shared with repetitive elements. By redesigning primers we maximized genotyping success and minimized genotyping errors. In addition, we tested a Y chromosome-marker for sex identification and designed a panel of mitochondrial DNA primers for examining genetic diversity of snow leopards using scat samples. We collected scats believed to be from snow leopards in three separate geographic regions including north-western India, central China and southern Mongolia. We observed snow leopard scats in all three sites despite only brief 2-day surveys in each area. There was a high rate of species misidentification in the field with up to 54% of snow leopard scats misidentified as red fox. The high rate of field misidentification suggests sign surveys incorporating scat likely overestimate snow leopard abundance. The highest ratio of snow leopard scats was observed in Ladakh (India) and South Gobi (Mongolia), where four and five snow leopards were detected, respectively. Our findings describe a species-specific molecular panel for analysis of snow leopard scats, and highlight the efficacy of noninvasive genetic surveys for monitoring snow leopards. These methods enable large-scale noninvasive studies that will provide information critical for conservation of snow leopards.
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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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