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	Author	Oli, M.K.
	Title	Seasonal patterns in habitat use of blue sheep Pseudois nayaur (Artiodactyla, Bovidae) in Nepal			Type	Journal Article
	Year	1996	Publication	Mammalia	Abbreviated Journal
	Volume	60	Issue	2	Pages	187-193
	Keywords	blue-sheep; snow-leopard; Panthera-uncia; Nepal; conservation; prey; predator; snow leopard; blue; sheep; browse; panthera; uncia; 670
	Abstract	Blue sheep (Pseudois nayaur) are the main prey of the endangered snow leopard (Panthera uncia) as well as an important game species in Nepal. A knowledge of how blue sheep utilize their habitat is essential for the scientific management of the sheep and for the conservation of the snow leopard, but we only have a limited understanding of this aspect of blue sheep ecology. I studied the habitat use pattern of blue sheep by direct observation in the Anna-purna Conservation Area, Nepal where they occur sympatrically with the snow leopard. The sheep used grassland habitats more frequently during pre-parturition (spring) and post-parturition (autumn) than other habitat types, but scrub and grassland habitats were used equally frequently during the rut (winter). The sheep used smooth undulating slopes of medium steepness (<40 degrees) on southerly aspects within the elevation range of 4,200-4,600 m most frequently in all seasons, and there was no evidence of seasonal migration along the elevation gradient. When not in broken landforms (e.g., cliff, landslides), the sheep maintained proximity (less than or equal to 150 m) to such features suggesting their importance as escape cover (i.e., from predators). The use of habitat components by blue sheep appeared to be related to the distribution of foraging areas and escape cover.
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	Notes	UNIV EDINBURGH,INST CELL ANIM & POPULAT BIOL,EDINBURGH EH9 3JT,MIDLOTHIAN,SCOTLANDANNAPURNA CONSERVAT AREA PROJECT,KATMANDU,NEPAL /Publisher:MUSEUM NAT HIST NATURELLE, PARIS Document Type: English			Approved	no
	Call Number	SLN @ rana @ 289			Serial	751
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	Author	Murata, K.; Yanai, T.; Agatsuma, T.; Uni, S.
	Title	Dirofilaria immitis infection of a snow leopard (Uncia uncia) in a Japanese zoo with mitochondrial DNA analysis			Type	Miscellaneous
	Year	2003	Publication	The Journal of Veterinary Medical Science / the Japanese Society of Veterinary Science	Abbreviated Journal
	Volume	65	Issue		Pages	945-947
	Keywords	Dirofilaria immitis,Japan,snow leopard
	Abstract	Three dog heartworms (Dirofilaria immitis) were detected in the lumen of the right cardiac ventriculus and of the pulmonary artery of a captive female snow leopard (Uncia uncia) that died of pancreatic carcinoma at a zoo in Japan. Neither clinical respiratory nor circulatory symptoms caused by the heartworm infection were observed. The filarial worms were identified as D. immitis from the morphologic characteristics of the esophagus, the presence of faint longitudinal ridges on the cuticular surface, the situation of vulva posterior to the esophagus, and the measurements of the body. The heartworms from the snow leopard were identical to that of D. immitis from dogs in the sequence of the cytochrome oxidase I region in the mitochondrial DNA. This host record is the first of D. immitis in U. uncia.
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	Notes				Approved	no
	Call Number	SLN @ rana @ 892			Serial	707
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	Author	Oli, M.K.; Taylor, I.R.; Rogers, M.E.
	Title	Snow leopard Panthera unica predation of livestock: An assessment of local perceptions in the Annapurna Conservation Area, Nepal			Type	Journal Article
	Year	1994	Publication	Biological Conservation	Abbreviated Journal
	Volume	68	Issue	1	Pages	63-68
	Keywords	predation; livestock; herders; goat; sheep; oxen; horse; Panthera-uncia; Nepal; snow-leopard; Annapurna-Conservation-Area; public attitudes; snow leopard; browse; panthera uncia; uncia; panthera; annapurna conservation area; annapurna; conservation; area; public; attitudes; 750
	Abstract	Public attitudes towards snow leopard Panthera uncia predation of domestic livestock were investigated by a questionnaire survey of four villages in snow leopard habitat within the Annapurna Conservation Area, Nepal. Most local inhabitants were subsistence farmers, many dependent upon yaks, oxen, horses and goats, with an average livestock holding of 26.6 animals per household. Reported losses to snow leopards averaged 0.6 and 0.7 animals per household in two years of study, constituting 2.6% of total stockholding but representing in monetary terms almost a quarter of the average annual Nepali national per capita income. Local people held strongly negative attitudes towards snow leopards and most suggested that total extermination of leopards was the only acceptable solution to the predation problem. Snow leopards were reported to be killed by herdsmen in defence of their livestock. The long-term success of snow leopard conservation programmes may depend upon the satisfactory resolution of the predation conflict. Some possible ways of reducing predation losses are also discussed.
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	Notes	Document Type: English Call Number: S900 .B5			Approved	no
	Call Number	SLN @ rana @ 237			Serial	747
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	Author	Oli, M.K.; Taylor, K.R.; Rogers, M.E.
	Title	Snow leopard Panthera uncia predation of livestock: An assessment of local perceptions in the Annapurna Conservation Area, Nepal			Type	Miscellaneous
	Year	1994	Publication	Biological Conservation	Abbreviated Journal
	Volume	68	Issue		Pages	63-68
	Keywords	snow leopard,blue sheep,livestock predation,public attitudes,Annapurna Conservation Area,Nepal.
	Abstract	Public attitudes towards snow leopard Panthera uncia predation of domestic livestock were investigated by a questionnaire survey of four villages in snow leopard habitat within the Annapurna Conservation Area, Nepal Most local inhabitants were subsistence farmers, many dependent upon yaks, oxen, horses and goats, with an average livestock holding of 26.6 animals per household. Reported losses to snow leopards averaged 0.6 and O. 7 animals per household in two years of study, constituting 2.6% of total stockholding but representing in monetary terms almost a quarter of the average annual Nepali national per capita income. Local people hem strongly negative attitudes towards snow leopards and most suggested that total extermination of leopards was the only acceptable solution to the predation problem. Snow leopards were reported to be killed by herdsmen in defence of their livestock. The long-term success of snow leopard conservation programmes may depend upon the satisfactory resolution of the predation conflict. Some possible ways of reducing predation losses are also discussed.
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
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	Notes				Approved	no
	Call Number	SLN @ rana @ 893			Serial	753
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	Author	Simms, A., Moheb, Z., Salahudin, Ali, H., Ali, I. & Wood, T.
	Title	Saving threatened species in Afghanistan: snow leopards in the Wakhan Corridor			Type	Journal Article
	Year	2011	Publication	International Journal of Environmental Studies	Abbreviated Journal
	Volume	68	Issue	3	Pages	299-312
	Keywords	Snow leopard; Camera trap; Governance; Rangers; Corral; Insurance
	Abstract	The Wakhan Corridor in northeast Afghanistan is an area known for relatively abundant wildlife and it appears to represent Afghanistan’s most important snow leopard landscape. The Wildlife Conservation Society (WCS) has been working in Wakhan since 2006. Recent camera trap surveys have documented the presence of snow leopards at 16 different locations in the landscape. These are the first camera trap records of snow leopards in Afghanistan. Threats to snow leopards in the region include the fur trade, retaliatory killing by shepherds and the capture of live animals for pets. WCS is developing an integrated management approach for this species, involving local governance, protection by a cadre of rangers, education, construction of predator-proof livestock corrals, a livestock insurance program, tourism and research activities. This management approach is expected to contribute significantly to the conservation of snow leopards and other wildlife species in the Wakhan.
	Address	Wildlife Conservation Society, International Programs, 2300 Southern Blvd, New York 10460, USA
	Corporate Author	Wildlife Conservation Society			Thesis
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	Language	English	Summary Language		Original Title
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	Notes				Approved	no
	Call Number	SLN @ rana @			Serial	1347
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	Author	McCarthy, K.; Fuller, T.; Ming, M.; McCarthy, T.; Waits, L.; Jumabaev, K.
	Title	Assessing Estimators of Snow Leopard Abundance			Type	Miscellaneous
	Year	2008	Publication	Journal of Widlife Management	Abbreviated Journal
	Volume	72	Issue	8	Pages	1826-1833
	Keywords	abundance; camera,capture-recapture,density,index,predator:prey ratios,techniques,Tien Shan,Uncia; leopard; SaryChat; sign surveys; Slims; snow; snow-leopard; snow leopard; Tomur
	Abstract	The secretive nature of snow leopards (Uncia uncia) makes them difficult to monitor, yet conservation efforts require accurate and precise methods to estimate abundance. We assessed accuracy of Snow Leopard Information Management System (SLIMS) sign surveys by comparing them with 4 methods for estimating snow leopard abundance: predator:prey biomass ratios, capture-recapture density estimation, photo-capture rate, and individual identification through genetic analysis. We recorded snow leopard sign during standardized surveys in the SaryChat Zapovednik, the Jangart hunting reserve, and the Tomur Strictly Protected Area, in the Tien Shan Mountains of Kyrgyzstan and China. During June-December 2005, adjusted sign averaged 46.3 (SaryChat), 94.6 (Jangart), and 150.8 (Tomur) occurrences/km. We used counts of ibex (Capra ibex) and argali (Ovis ammon) to estimate available prey biomass and subsequent potential snow leopard densities of 8.7 (SaryChat), 1.0 (Jangart), and 1.1 (Tomur) snow leopards/100 km2. Photo capture-recapture density estimates were 0.15 (n = 1 identified individual/1 photo), 0.87 (n = 4/13), and 0.74 (n = 5/6) individuals/100 km2 in SaryChat, Jangart, and Tomur, respectively. Photo-capture rates (photos/100 trap-nights) were 0.09 (SaryChat), 0.93 (Jangart), and 2.37 (Tomur). Genetic analysis of snow leopard fecal samples provided minimum population sizes of 3 (SaryChat), 5 (Jangart), and 9 (Tomur) snow leopards. These results suggest SLIMS sign surveys may be affected by observer bias and environmental variance. However, when such bias and variation are accounted for, sign surveys indicate relative abundances similar to photo rates and genetic individual identification results. Density or abundance estimates based on capture-recapture or ungulate biomass did not agree with other indices of abundance. Confidence in estimated densities, or even detection of significant changes in abundance of snow leopard, will require more effort and better documentation.
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	Notes				Approved	no
	Call Number	SLN @ rana @ 881			Serial	653
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	Author	Oli, M.
	Title	Snow leopards and blue sheep in Nepal: Densities and predator: Prey ratio			Type	Miscellaneous
	Year	1994	Publication	Journal of Mammalogy	Abbreviated Journal
	Volume	75	Issue		Pages	998-1004
	Keywords	snow leopard,Panthera uncia,blue sheep,Pseudois nayaur,density,predator:prey ratio,harvest rate,livestock predation,Nepal
	Abstract	I studied snow leopards (Panthera uncia) and blue sheep (Pseudois nayaur) in Manang District, Annapurna Conservation Area, Nepal, to estimate numbers and analyze predatorprey interactions. Five to seven adult leopards used the 105-km2 study area, a density of 4.8 to 6.7 leopards/100 km2. Density of blue sheep was 6.6-10.2 sheep/km2, and biomass density was 304 kg/km2. Estimated relative biomass consumed by snow leopards suggested that blue sheep were the most important prey; marmots (Marmota himalayana) also contributed significantly to the diet of snow leopards. Snow leopards in Manang were estimated to harvest 9-20% of total biomass and 11-24% of total number of blue sheep annually. Snow leopard :blue sheep ratio was 1 :1 14-1 :159 on a weight basis, which was considered sustainable given the importance of small mammals in the leopard's diet and the absence of other competing predators.
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	Language		Summary Language		Original Title
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	Notes				Approved	no
	Call Number	SLN @ rana @ 894			Serial	741
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	Author	Oli, M.K.
	Title	Snow leopards and blue sheep in Nepal: Densities and predator: prey ratio			Type	Journal Article
	Year	1994	Publication	Journal of Mammalogy	Abbreviated Journal
	Volume	75	Issue	4	Pages	998-1004
	Keywords	Nepal; blue-sheep; prey; livestock; predation; blue; sheep; browse; 740; snow; snow leopards; snow leopard; snow-leopards; snow-leopard; leopards; leopard; blue sheep; densities; density; predator
	Abstract	I studied snow leopards (Panthera uncia) and blue sheep (Pseudois nayaur) in Manang District, Annapurna Conservation Area, Nepal, to estimate numbers and analyze predator-prey interactions. Five to seven adult leopards used the 10-5-km-2 study area, a density of 4.8 to 6.7 leopards/100 km-2. Density of blue sheep was 6.6 10.2 sheep/km-2, and biomass density was 304 kg/km-2. Estimated relative biomass consumed by snow leopards suggested that blue sheep were the most important prey; marmots (Marmota himalayana) also contributed significantly to the diel of snow leopards Snow leopards in Manang were estimated to harvest 9-20% of total biomass and 11-24% of total number of blue sheep annually. Snow leopard: blue sheep ratio was 1:114-1:159 on a weight basis, which was considered sustainable given the importance of small mammals in the leopard's diet and the absence of other competing predators.
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	Notes	Document Type: English Call Number: 599.05 JO			Approved	no
	Call Number	SLN @ rana @ 236			Serial	746
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	Author	Thapa, K., Baral, S., Rahamajhi, S.
	Title	Effectiveness of Human-Snow leopard co-existence measure- a systematic analysis			Type	Journal Article
	Year	2023	Publication	Journal for Nature Conservation	Abbreviated Journal
	Volume	76	Issue	126511	Pages	1-11
	Keywords	Community-based conservation, Himalayan, Snow leopard range countries
	Abstract	Snow leopards and agropastoral communities have co-existed in snow leopard range countries for centuries. The vulnerable snow leopard forms and maintains the entire ecosystem, serving as an indicator species of a healthy alpine ecosystem. However, snow leopards, on the other hand, habitually kill livestock, occasionally killing 100 or more livestock in a single night, resulting in snow leopard retaliation. Thus, the snow leopard is becoming more threatened, so more attention should be paid. Therefore, numerous conservation mitigation strategies have been applied to maintain human-snow leopard coexistence in countries of the snow leopard range. However, such implemented conservation strategies lacked a thorough assessment of their achievements or shortcomings in protecting the snow leopard and enhancing community tolerance. Therefore, we systematically examined and evaluated peer-reviewed articles and book chapters on existing and implemented mitigation measures. We use the software Publish or Perish to achieve this, and we assess using the Preferred Reporting of Items for Systematic Review and Meta-Analysis (PRISMA) review approach. We thoroughly analyzed 42 papers and book chapters that were condensed human- snow leopard co-existence-related literature published in English from 2010 to 2023. Almost 90% of the papers were country-specific, with the remaining papers covering regional or snow leopard ranges countries. Nepal had the most papers, followed by China, India, and Mongolia; however, Afghanistan, Bhutan, Pakistan, Russia, and Tajikistan each had<10%, but there was no single document from Kazakhstan or Kyrgyzstan. Predator-proof corral, improved herding practices, and community-based insurance programs were three of the key recommendations that were more than 10 to 22 times proposed interventions. There are site-specific sociocultural situations and environments that require long-term action-oriented research that is area-specific rather than short-term and generic interventions. We identified a large knowledge gap in snow leopard research, specifically a lack of evidence that demonstrates and quantifies the effects of conservation actions, and strongly advise that it be further researched.
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	Notes				Approved	no
	Call Number	SLN @ rakhee @			Serial	1735
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	Author	Bohnett, E., Holmberg, J., Faryabi, S. P., An, L., Ahmad, B., Rashid, W., Ostrowski, S.
	Title	Comparison of two individual identification algorithms for snow leopards (Panthera uncia) after automated detection			Type	Journal Article
	Year	2023	Publication	Ecological Informatics	Abbreviated Journal
	Volume	77	Issue	102214	Pages	1-14
	Keywords	Background subtraction, Deep learning, Hotspotter, Individual identification, PIE v2, Snow leopards
	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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	Notes				Approved	no
	Call Number	SLN @ rakhee @			Serial	1723
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