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Ishunin G.I. (1984). Hunting and nature conservation in Uzbekistan (history and current status).
Abstract: Origination of fauna complexes in Uzbekistan from the Mustier period to present time is described. The remains of brown bear, cave hyena, wolf, fox, corsac, stone marten, badger, and snow leopard were found in cave Amankutan (western extremities of the Zaravshan ridge). Cattle breeding and farming has begun since mesolite; cave bear, Stenon horse, Pleistocene donkey, camel and aurochs dropped from the region's fauna, while marchor and striped hyena moved to the Hissar ridge, Babatag and Kugitang mountains from south; jackal, chaus, tiger, and Iranian otter settled along the river valleys. In the Neolith and Bronze Age cattle breeding and farming continued to develop, while hunting was less important. Mass hinting for animals in the time of Alexander the Great, Chingiz Khan, and Babur, the ruler of Fergana, is described. Mass extermination of kulan, goitered gazelle, saiga, and other game species also took place later more than 12,000 saigas were killed during one hunt at the end of 19th century in the Volga region. Animals also die from natural disasters the “djut”. Data concerning a current status of goitered gazelle, saiga, Bukhara deer, marchor, Severtsev's sheep, and urial is given.
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Ishunin G.I. (1964). Cats.
Abstract: It provides information about the cat family species in Uzbekistan (steppe cat Felis libyca, reed cat Felis chaus, Turkistan lynx Felis lynx isabellina, manul Felis manul, sand cat Felis margarita, Turan tiger Felis tigris virgata, Middle Asia leopard Felis pardus tullianus, and snow leopard Felis uncia. Snow leopard is distributed over the Hissar ridge, and the mountains of Kuydytavak, Khoddjachilimakhram, Zardalyupaz, Khodjapiriyah and Belata. Trade significance of snow leopard is negligent. In the Sary-Asia district one skin was traded in 1934 and 1935, three in 1936, four in 1937, one in 1946, and two in 1947.
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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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Izold, J. (2008). Snow Leopard Enterprise: a conservation project that saves an endangered species and supports needy families. Anim.Keepers' Forum, 9(5), 359–364.
Abstract: The World Conservation Union listed the snow leopard (Uncia uncia) as endangered in 1974. With as few as 3,500 snow leopards left in the wild, scientists placed the snow leopard on the IUCN Red List of critically endangered species shared by animals such as the giant panda and tiger. In an effort to save the snow leopard from extinction, former zoo employee Helen Freeman founded the Snow Leopard Trust in 1981. The Snow Leopard Trust works to save this elusive cat by incorporating community-based conservation projects. One of these project Leopard Enterprise (SLE), impacts poverty stricken communities in Mongolia, Kyrgyz Republic, and Pakistan. It assists over 300 families in its conservation efforts. The economic incentives provided via SLE have led participating communities not to harm the snow leopard or its prey, and to practice sustainable herding. Since the project began in 1997, the number of snow leopards harmed around the communities' territories has dropped to near zero. Additionally, the annual income of families that utilize the benefits of SLE has increased by 25% to 40%. SLE creates this economic benefit by providing the training and equipment necessary to make desirable products from the wool of herd animals. Snow Leopard Trust then purchases these handicraft items from the local people and them globally. Zoos can expand their conservation efforts by simply offering these items in their gift shops. Woodland Park Zoo (WPZ) was the first zoological institution to sell the products, and WPZ continues to generate revenue from them. SLE is a golden opportunity for zoos to increase revenue, assist poor families, and save an endangered species and fragile ecosystem.
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Jack, R. (2008). DNA Testing and GPS positioning of snow leopard (Panthera uncia) genetic material in the Khunjerab National Park Northern Areas, Pakistan.
Abstract: The protection of Snow Leopards in the remote and economically disadvantaged Northern Areas of Pakistan needs local people equipped with the skills to gather and present information on the number and range of individual animals in their area. It is important for the success of a conservation campaign that the people living in the area are engaged in the conservation process. Snow Leopards are elusive and range through inhospitable terrain so direct study is difficult. Consequently the major goals for this project were twofold, to gather information on snow leopard distribution in this area and to train local university students and conservation management professionals in the techniques used for locating snow leopards without the need to capture or even see the animals. This project pioneered the use of DNA testing of field samples collected in Pakistan to determine the distribution of snow leopards and to attempt to identify individuals. These were collected in and around that country's most northerly national park, the Kunjurab National Park, which sits on the Pakistan China border. Though the Northern Areas is not a well developed part of Pakistan, it does possess a number of institutions that can work together to strengthen snow leopard conservation. The first of these is a newly established University with students ready to be trained in the skills needed. Secondly WWF-Pakistan has an office in the main town and a state of the art GIS laboratory in Lahore and already works closely with the Forest Department who manage the national park. All three institutions worked together in this project with WWF providing GIS expertise, the FD rangers, and the university students carrying out the laboratory work. In addition in the course of the project the University of the Punjab in Lahore also joined the effort, providing laboratory facilities for the students. As a result of this project maps have been produced showing the location of snow leopards in
two areas. Preliminary DNA evidence indicates that there is more than one animal in this
relatively small area, but the greatest achievement of this project is the training and
experience gained by the local students. For one student this has been life changing. Due to
the opportunities provided by this study the student, Nelofar gained significant scientific
training and as a consequence she is now working as a lecturer and research officer for the
Center for Integrated Mountain Research, New Campus University of the Punjab, Lahore
Pakistan
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Jackson, R., & Fox, J. L. Snow Leopard and Prey Species Workshop in Bhutan.
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Jackson, R., & Ahlborn, G. (1989). Snow leopards (Panthera- uncia) in Nepal – home range and movements. National Geographic Research, 5(2), 161–175.
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Jackson, R. (1992). SSC Plan for Snow Leopard.
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Jackson, R., & Ahmad, A. (1997). Introduction to the Proceedings (8th Snow Leopard Symp). In R.Jackson, & A.Ahmad (Eds.), (ix-x). Lahore, Pakistan: Allied Press.
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Jackson, R., Hunter, D., & Emmerich, C. (1997). SLIMS: An Information Management System for Promoting the Conservation of Snow Leopards and Biodiversity in the Mountains of Central Asia. In R.Jackson, & A.Ahmad (Eds.), (pp. 75–91). Lahore, Pakistan: Islt.
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Jackson, R., & Fox, J. L. (1997). Snow Leopard Conservation: Accomplishments and Research Priorities. In R.Jackson, & A.Ahmad (Eds.), (pp. 128–144). Pakistan: Islt.
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Jackson, R. (1999). Snow Leopards, Local People and Livestock Losses: Finding solutions using Appreciative Participatory Planning and Action (APPA) in the Markha Valley of Hemis National Park, Ladakh, October 6-26, 1999. Cat News, 31(Autumn), 22–23.
Abstract: Livestock depredation is emerging as a significant issue across the Himalaya, including the Hemis National Park (HNP) in Ladakh. Some consider that this protected area harbors the best snow leopard population in India, but local herders perceive the endangered snow leopard as a serious threat to their livelihood.
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Jackson, R. (2000). Community Participation: Tools and Examples. (pp. 1–9). Management Planning Workshop for the Trans-Himalayan Protected Areas, 25-29 August, 2000, Leh, Ladak.
Abstract: In response to dwindling wildlife populations and habitat, governments established national parks and protected areas, often with little input from people living in the immediate area. In some cases communities were relocated, but in most they are left to pursue traditional agricultural and pastoral livelihoods under a new set of rules. Important questions of land tenure remained unresolved, with a “fences and fines” approach to protected area management (Stolton and Dudley 1999).
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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. (2004). Pakistan's Community-based Trophy Hunting Programs and Their Relationship to Snow Leopard Conservation.
Abstract: In June-July 2004, the Snow Leopard Conservancy (SLC) recently conducted field visits to three important snow leopard sites in Pakistan's Northern Areas: Hushey and Skoyo villages in Baltistan and the Khunjerab Village Organization (KVO) in Gojal. The purpose was to launch environmentally appropriate small-scale, village-based conservation and depredation alleviation initiatives aimed at protecting snow leopards, prey species, their habitats and associated mountain biodiversity, while benefiting humans at the same time.
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Jackson, R., Roe, J., Wangchuk, R., & Hunter, D. (2005). Surveying Snow Leopard Populations with Emphasis on Camera Trapping: A Handbook. Sonoma, California: The Snow Leopard Conservancy.
Abstract: This handbook provides an introduction to snow leopard population survey techniques, followed by a detailed account of camera trapping methods.During the 2002 through 2004 winter field seasons, the Snow Leopard Conservancy experimented with infrared camera trapping techniques to define a methodology suitable for the high altitude environment.
In 2001 and 2002, much of our time was spent familiarizing ourselves with various infrared camera traps, their operation and setup, and comparing the effectiveness of different models and sensor types. We placed infrared camera traps along frequently used travel corridors at or near scent-sprayed rocks (rock scents) and scrape sites within 16 km2 sampling cells between January and March in 2003 and 2004. A total of 66 and 49 captures of snow leopards were tallied during 2003 and 2004, resulting in an overall capture success of 8.91 and 5.63 individuals per 100 trap-nights, respectively. Capture probabilities ranged from 0.33 to 0.46. Density estimates ranged from 8.49 ± 0.22 individuals per 100 km2 in 2003 to 4.45 ± 0.16 in 2004, with the disparity between years largely attributed to different trapping densities. Snow leopard abundance estimates were calculated using the computer program CAPTURE.
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Jackson, R., Roe, J., Wangchuk, R., & Hunter, D. (2005). Surveying Snow Leopard Populations with Emphasis on Camera Trapping: A Handbook. Sonoma, California: The Snow Leopard Conservancy.
Abstract: This handbook provides an introduction to snow leopard population survey techniques, followed by a detailed account of camera trapping methods.During the 2002 through 2004 winter field seasons, the Snow Leopard Conservancy experimented with infrared camera trapping techniques to define a methodology suitable for the high altitude environment.
In 2001 and 2002, much of our time was spent familiarizing ourselves with various infrared camera traps, their operation and setup, and comparing the effectiveness of different models and sensor types. We placed infrared camera traps along frequently used travel corridors at or near scent-sprayed rocks (rock scents) and scrape sites within 16 km2 sampling cells between January and March in 2003 and 2004. A total of 66 and 49 captures of snow leopards were tallied during 2003 and 2004, resulting in an overall capture success of 8.91 and 5.63 individuals per 100 trap-nights, respectively. Capture probabilities ranged from 0.33 to 0.46. Density estimates ranged from 8.49 ± 0.22 individuals per 100 km2 in 2003 to 4.45 ± 0.16 in 2004, with the disparity between years largely attributed to different trapping densities. Snow leopard abundance estimates were calculated using the computer program CAPTURE.
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Jackson, R., Roe, J., Wangchuk, R., & Hunter, D. (2005). Camera-Trapping of Snow Leopards. Cat News, 42(Spring), 19–21.
Abstract: Solitary felids like tigers and snow leopards are notoriously difficult to enumerate, and indirect techniques like pugmark surveys often produce ambiguous information that is difficult to interpret because many factors influence marking behavior and frequency (Ahlborn & Jackson 1988). Considering the snow leopard's rugged habitat, it is not surprising then that information on its current status and occupied range is very limited. We adapted the camera-trapping techniques pioneered by Ullas Karanth and his associates for counting Bengal tigers to the census taking of snow leopards in the Rumbak watershed of the India's Hemis High Altitude National Park (HNP), located in Ladakh near Leh (76ø 50' to 77ø 45' East; 33ø 15' to 34ø 20'North).
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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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Jain, N., Wangchuk, R., & Jackson, R. (2003). An Assessment of CBT and Homestay Sites in Spiti District, Himachal Pradesh.
Abstract: The survey described in this report builds upon prior CBT activities undertaken by The Mountain Institute (TMI) in partnership with the Snow Leopard Conservancy (SLC) in Ladakh, supported by a grant from UNESCO (with co-financing from SLC). Under the evolving concept of “Himalayan Homestays”, initially developed and tested in Ladakh, it is proposed that activities be expanded to selected states in India in a strategic and effective way. Himalayan Homestays are part of a larger integrated program to link snow leopard conservation with local livelihoods in Asia.
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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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