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Espinosa-Aviles, D.; Taylor, M.L.; Del Rocio Reyes-Montes, M.; Pe'rez-Torrez, A. |
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Molecular findings of disseminated histoplasmosis in two captive snow leopards (Uncia uncia) |
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2008 |
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Journal-of-Zoo-and-Wildlife-Medicine |
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39 |
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450-454 |
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captive; histoplasmosis; Immunohistochemistry; Molecular; snow leopard; Uncia uncia |
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This paper reports two cases of disseminated histoplasmosis in captive snow leopards (Uncia uncia). Histoplasmosis was diagnosed based on histopathology, immunohistochemistry, transmission electron microscopy, and molecular findings. |
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SLN @ rana @ 907 |
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268 |
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Namgail, T.; Fox, J.; Bhatnagar, Y. |
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Carnivore-Caused Livestock Mortality in Trans-Himalaya |
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2007 |
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Environmental Management |
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39 |
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490-496 |
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Gya-Miru; livestock depredation; Lynx; snow leopard; trans-himalaya; wolf |
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The loss of livestock to wild predators is an important livelihood concern among Trans-Himalayan pastoralists. Because of the remoteness and inaccessibility of the region, few studies have been carried out to quantify livestock depredation by wild predators. In the present study, we assessed the intensity of livestock depredation by snow leopard Uncia uncia, Tibetan wolf Canis lupus chanku, and Eurasian lynx Lynx l. isabellina in three villages, namely Gya, Rumtse, and Sasoma, within the proposed Gya-Miru Wildlife Sanctuary in Ladakh, India. The three villages reported losses of 295 animals to these carnivores during a period of 2.5 years ending in early 2003, which represents an annual loss rate of 2.9% of their livestock holdings. The Tibetan wolf was the most important predator, accounting for 60% of the total livestock loss because of predation, followed by snow leopard (38%) and lynx (2%). Domestic goat was the major victim (32%), followed by sheep (30%), yak (15%), and horse (13%). Wolves killed horses significantly more and goats less than would be expected from their relative abundance. Snow leopards also killed horses significantly more than expected, whereas they killed other livestock types in proportion to their abundance. The three villages combined incurred an estimated annual monetary loss of approximately $USD 12,120 amounting to approximately $USD 190/household/y. This relatively high total annual loss occurred primarily because of depredation of the most valuable livestock types such as yak and horse. Conservation actions should initially attempt to target decrease of predation on these large and valuable livestock species. |
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SLN @ rana @ 924 |
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712 |
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Mallon, D. |
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An early record of snow leopard in Myanmar |
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2003 |
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Cat News |
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39 |
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Autumn |
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24 |
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snow leopard, Myanmar |
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SLN @ rana @ |
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1253 |
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Mishra, C.; Madhusudan, M.D.; Datta, A. |
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Mammals of the high altitudes of western Arunachal Pradesh, eastern Himalaya: an assessment of threats and conservation needs |
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Miscellaneous |
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2006 |
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Oryx |
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40 |
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1 |
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1-7 |
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anthropogenic; area; Arunachal; assessment; awareness; bharal; biodiversity; carnivore; carnivores; community; community-based; conservation; deer; depredation; dhole; endangered; extinct; fauna; goral; grazing; habitat; habitats; High; Himalaya; hunting; incentives; India; indian; Iucn; leopard; livestock; livestock-depredation; livestock depredation; local; mammals; musk; musk-deer; nayaur; panthera; people; peoples; plant; plants; potential; Pseudois; Pseudois-nayaur; pseudois nayaur; range; recent; region; Report; reserve; resource; schools; snow; snow-leopard; snow leopard; species; survey; surveys; threat; threatened; threats; tiger; uncia; Uncia-uncia; Uncia uncia; ungulate; ungulates; valley; wildlife; work; Panthera-tigris; tigris |
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The high altitudes of Arunachal Pradesh,India, located in the Eastern Himalaya biodiversity hotspot, remain zoologically unexplored and unprotected. We report results of recent mammal surveys in the high altitude habitats of western Arunachal Pradesh. A total of 35 mammal species (including 12 carnivores, 10 ungulates and 5 primates) were recorded, of which 13 are categorized as Endangered or Vulnerable on the IUCN Red List. One species of primate, the Arunachal macaque Macaca munzala, is new to science and the Chinese goral Nemorhaedus caudatus is a new addition to the ungulate fauna of the Indian subcontinent. We documented peoples' dependence on natural resources for grazing and extraction of timber and medicinal plants. The region's mammals are threatened by widespread hunting. The snow leopard Uncia uncia and dhole Cuon alpinus are also persecuted in retaliation for livestock depredation. The tiger Panthera tigris, earlier reported from the lower valleys, is now apparently extinct there, and range reductions over the last two decades are reported for bharal Pseudois nayaur and musk deer Moschus sp.. Based on mammal species richness, extent of high altitude habitat, and levels of anthropogenic disturbance, we identified a potential site for the creation of Arunachal's first high altitude wildlife reserve (815 km2). Community-based efforts that provide incentives for conservation-friendly practices could work in this area, and conservation awareness programmes are required, not just amongst the local communities and schools but for politicians, bureaucrats and the army. |
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SLN @ rana @ 861 |
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697 |
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Ale, S.B.; Yonzon, P.; Thapa, K. |
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Recovery of snow leopard Uncia uncia in Sagarmatha (Mount Everest) National Park, Nepal |
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2007 |
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Oryx |
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41 |
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89-92 |
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Nepal; recovery; Sagarmatha Mount Everest National Park; snow leopard; Uncia uncia; surveys; survey; snow; snow-leopard; leopard; uncia; Uncia-uncia; valley; Sagarmatha; national; national park; National-park; park; using; information; management; system; research; transects; transect; sign; areas; area; snow leopards; snow-leopards; leopards; 40; Himalayan; tahr; musk; musk-deer; deer; location; recent; species; grazing; land; Forest; habitat; domestic; wild; ungulates; ungulate; livestock; tourism; development; traditional; land use; land-use; use; wildlife |
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From September to November 2004 we conducted surveys of snow leopard Uncia uncia signs in three major valleys in Sagarmatha (Mount Everest) National Park in Nepal using the Snow Leopard Information Management System, a standardized survey technique for snow leopard research. We walked 24 transects covering c. 14 km and located 33 sites with 56 snow leopard signs, and 17 signs incidentally in other areas. Snow leopards appear to have re-inhabited the Park, following their disappearance c. 40 years ago, apparently following the recovery of Himalayan tahr Hemitragus jemlahicus and musk deer Moschus chrysogaster populations. Taken together the locations of all 73 recent snow leopard signs indicate that the species is using predominantly grazing land and shrubland/ open forest at elevations of 3,000-5,000 m, habitat types that are also used by domestic and wild ungulates. Sagarmatha is the homeland of c. 3,500 Buddhist Sherpas with .3,000 livestock. Along with tourism and associated developments in Sagarmatha, traditional land use practices could be used to ensure coexistence of livestock and wildlife, including the recovering snow leopards, and ensure the wellbeing of the Sherpas. |
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http://www.snowleopardnetwork.org/bibliography/Ale_2007.pdf |
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SLN @ rana @ 884 |
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58 |
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Bohnett, E., Faryabi, S. P., Lewison, R., An, L., Bian, X., Rajabi, A. M., Jahed, N., Rooyesh, H., Mills, E., Ramos, S., Mesnildrey, N., Perez, C. M. S., Taylor, J., Terentyev, V., Ostrowski, S. |
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Human expertise combined with artificial intelligence improves performance of snow leopard camera trap studies |
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2023 |
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Global Ecology & Conservation |
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41 |
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e02350 |
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1-13 |
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Snow leopard, Artificial intelligence, Camera trap misclassification, individual ID, HotSpotter |
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Camera trapping is the most widely used data collection method for estimating snow leopard (Panthera uncia) abundance; however, the accuracy of this method is limited by human observer errors from misclassifying individuals in camera trap images. We evaluated the extent Whiskerbook (www.whiskerbook.org), an artificial intelligence (AI) software, could reduce this error rate and enhance the accuracy of capture-recapture abundance estimates. Using 439 images of 34 captive snow leopard individuals, classification was performed by five observers with prior experience in individual snow leopard ID (“experts”) and five observers with no such experience (“novices”). The “expert” observers classified 35 out of 34 snow leopard individuals, on average erroneously splitting one individual into two, thus resulting in a higher number than true individuals. The success rate of experts was 90 %, with less than a 3 % error in estimating the population size in capture-recapture modeling. However, the “novice” observers successfully matched 71 % of encounters, recognizing 25 out of 34 individuals, underestimating the population by 25 %. It was found that expert observers significantly outperformed novice observers, making statistically fewer errors (Mann Whitney U test P = 0.01) and finding the true number of individuals (P = 0.01). These differences were contrasted with a previous study by Johansson et al. 2020, using the same subset of 16 individuals from European zoos. With the help of AI and the Whiskerbook platform, “experts” were able to match 87 % of encounters and identify 15 out of 16 individuals, with modeled estimates of 16 ± 1 individuals. In contrast, “novices” were 63 % accurate in matching encounters and identified 12 out of 16 individuals, modeling 12 ± 1 individuals that underestimated the population size by 12 %. When comparing the performance of observers using AI and the Whiskerbook platform to observers performing the tasks manually, we found that observers using Whiskerbook made significantly fewer errors in splitting one individual into two (P = 0.04). However, there were also a significantly higher number of combination errors, where two individuals were combined into one (P = 0.01). Specifically, combination errors were found to be made by “novices” (P = 0.04). Although AI benefited both expert and novice observers, expert observers outperformed novices. Our results suggest that AI effectively reduced the misclassification of individual snow leopards in camera trap studies, improving abundance estimates. However, even with AI support, expert observers were needed to obtain the most accurate estimates. |
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SLN @ rakhee @ |
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1715 |
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Blomqvist, L. |
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The snow leopard in captivity in 1992 |
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1995 |
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International Zoo News |
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42 |
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3 |
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152-159 |
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captivity; snow leopard |
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SLN @ rana @ 958 |
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166 |
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Egorov O.V. |
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Enemies, infections, parasites and mortality rate of ibex |
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1955 |
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Vol. 42. |
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Ussr; ungulates; predators; snow leopard.; 6520; Russian |
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Reasons for ibex and argali mortality from natural enemies, parasites, infections, accidents, and hunters are analyzed. Snow leopard is one of the most dangerous enemies of ibex and argali, preying equally on both young and mature animals (mostly males). Snow leopard feeds upon ibex all year round. Unlike wolf, snow leopard would never kill several animals at a time, but only one selected victim. The food remains left by these predators are different in terms of the skull gnawing. Nasal bones and eye-sockets on the skull of ibex killed by snow leopard remain undamaged, while wolf gnaws off nasal part of the skull, breaks eye-sockets, eats lower jaw, widens occipital hole and pulls out brains. Snow leopard leaves large pieces of skin around the skeleton of the victim, whereas wolf tears it to shreds or eats up fully. Sometimes parts of the victim left by snow leopard are eaten by wolf. It is easy to mix the remains of snow leopard's or griffon vulture's food. The remains differ in skin being turned inside out rather than torn to large pieces. |
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Full text available in RussianJournal Title: Proceedings of ZIN of the Academy of Science of the USSR. |
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SLN @ rana @ 630 |
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251 |
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Jackson, R.; Roe, J.; Wangchuk, R.; Hunter, D. |
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Camera-Trapping of Snow Leopards |
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2005 |
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Cat News |
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19-21 |
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camera trapping; snow; snow leopards; snow leopard; snow-leopards; snow-leopard; leopards; leopard; felids; tigers; tiger; techniques; surveys; survey; information; factor; marking; behavior; Ahlborn; Jackson; habitat; status; range; census; India; Hemis; High; national; national park; National-park; park; Ladakh; leh |
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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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SLN @ rana @ 1017 |
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475 |
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Schaller, G.B. |
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Status of large mammals in the Taxkorgan Reserve, Xinjiang, China |
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1987 |
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Biological-Conservation |
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42 |
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1 |
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53-71 |
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Marco-Polo; sheep; Ovis-ammon-poli; Asiatic; ibex; Capra-ibex; blue-sheep; Pseudois-nayaur; snow; leopard; Panthera-uncia; wolf; Canis-lupus; brown; bear; Ursus-arctos; marmot; survey; status; China; Taxkorgan; reserve; capra ibex; snow leopard; blue; browse; marco polo; ovis; ammon; poli; capra; pseudois nayaur; panthera; uncia; canis; lupus; ursus arctos; 880 |
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A status survey of large mammals was conducted in the W half of 14 000 km“SUP 2” Taxkorgan Reserve. Only one viable population of fewer than 150 Marco Polo sheep Ovis ammon poli survives; it appears to be augmented by adult males from Russia and Afghanistan during the winter rut. Asiatic ibex Capra ibex occur primarily in the western part of the reserve and blue sheep Pseudois nayaur – the most abundant wild ungulate – in the E and SE parts. The 2 species overlap in the area of contact. Counts revealed an average wild ungulate density of 0.34 animals km“SUP -2”. Snow leopard Panthera uncia were rare, with possibly 50-75 in the reserve, as were wolves Canis lupus and brown bear Ursus arctos. The principal spring food of snow leopard was blue sheep (60%) and marmot (29%). Local people have greatly decimated wildlife. Overgrazing by livestock and overuse of shrubs for fuelwood is turning this arid steppe habitat into desert. -from Authors |
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Full Text Available at URLDocument Type: English |
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SLN @ rana @ 100 |
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866 |
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