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Author Oli, M. url 
  Title Snow leopards and blue sheep in Nepal: Densities and predator: Prey ratio Type Miscellaneous
  Year 1994 Publication Journal of Mammalogy Abbreviated Journal  
  Volume (up) 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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  Notes Approved no  
  Call Number SLN @ rana @ 894 Serial 741  
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Author Oli, M.K. url 
  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 (up) 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. pdf  url
doi 
  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 (up) 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. pdf 
  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 (up) 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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Author Green, M. url 
  Title A check-list and some notes concerning the mammlas of the Langtang National Park, Nepal Type Journal Article
  Year 1981 Publication Journal of the Bombay Natural History Society Abbreviated Journal  
  Volume (up) 78 Issue 1 Pages 77-87  
  Keywords snow leopard, Langtang National Park, Nepal  
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  Notes Approved no  
  Call Number SLN @ rana @ Serial 1227  
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Author Kashkadarinskaya Pravda Newspaper. url 
  Title Snow leopard goes to Frunze Type Miscellaneous
  Year 1983 Publication Abbreviated Journal  
  Volume (up) 79 (26-11) Issue Pages  
  Keywords Uzbekistan; Alatoo mountain; Karakol gorge; snow leopard; catching; Zoo.; 7130; Russian  
  Abstract In canyon Karakol of the Alatoo ridge, a snow leopard was caught for a zoo of Frunze.  
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  Notes Full text available in RussianJournal Title: Newspaper Kashkadarinskaya Pravda. Approved no  
  Call Number SLN @ rana @ 691 Serial 517  
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Author Shah, K.B. url 
  Title On a hunting pair of snow leopards in western Nepal Type Journal Article
  Year 1989 Publication Journal of Bombay Natural Historical Society Abbreviated Journal  
  Volume (up) 86 Issue Pages 236-237  
  Keywords hunting; Nepal; predator; snow leopard  
  Abstract  
  Address  
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  Publisher Bombay Natural History Society Place of Publication Bombay, India Editor  
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  Notes Approved no  
  Call Number SLN @ rana @ 991 Serial 880  
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Author Christiansen, P. url 
  Title Canine morphology in the larger Felidae: implications for feeding ecology Type Journal Article
  Year 2007 Publication Biological Journal of the Linnean Society Abbreviated Journal  
  Volume (up) 91 Issue Pages 573-592  
  Keywords bite force, canine, clouded leopard, feeding behaviour, felid, Homotherium serum, leopard, Megantereoncultridens, morphology, Neofelis nebulosa, paleontology, Panthera pardus, Panthera tigris, puma, Puma concolor, Smilodon fatalis, Smilodon populator, snow leopard, Uncia uncia  
  Abstract Canine morphology is analysed at seven intervals along the crown in both

anteroposterior and lateromedial perspective in seven species of large felids. The puma and the snow leopard have stout, rather conical canines, whereas those of lions, jaguars, and tigers bear substantial resemblance to each other, reflecting their phylogenetic relationships, and are less conical and large. The canines of the leopard are intermediate in morphology between those of the other species, probably reflecting its more generalized diet. The clouded leopard has very large and blade-like canines, which are different from the other analysed species. Canine bending strengths to estimated bite forces appear to differ less among the species than morphology,indicating that the evolution of canines has been constricted with respect to their strength in failure, probably owing to their being equally important for species fitness. However, the clouded leopard again stands out, having a high estimated bite force and rather weak canines in bending about the anteroposterior as well as lateromedial planes compared to the other species. Canine morphology to some extent reflects differences in killing mode, but also appears to be related to the phylogeny. The marked divergence of the clouded leopard is presently not understood.
 
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  Notes Approved no  
  Call Number SLN @ rana @ Serial 1115  
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Author Rana, B.S. url 
  Title Distinguishing kills of two large mammalian predators in Spiti Valley Himachal Pradesh Type Journal Article
  Year 1997 Publication J.Bombay Nat.Hist.Soc Abbreviated Journal  
  Volume (up) 94 Issue 3 Pages 553  
  Keywords behavior; endangered; threatened species; foods; feeding; mammals; predation; wildlife; livestock relationships; snow leopard; Tibetan wolf; prey; livestock; India; panthera uncia; canis lupis; browse; threatened; species; relationships; tibetan; wolf; panthera; uncia; canis; lupis; 610  
  Abstract The author studied livestock killed by predators in the Spiti Valley, India, to determine what species had killed yaks, horses, donkeys, and other domestic animals. Eleven of the kills examined were made by snow leopards and six by the Tibetan wolf. Wolves were involved in surplus killings, while snow leopards kill as food is needed. lgh  
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  Notes Document Type: English Approved no  
  Call Number SLN @ rana @ 326 Serial 804  
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Author Kalashnikova, Y. A., Karnaukhov, A. S., Dubinin, M. Y., Poyarkov, A. D., Rozhnov, V. V. url 
  Title POTENTIAL HABITAT OF SNOW LEOPARD (PANTHERA UNCIA, FELINAE) IN SOUTH SIBERIA AND ADJACENT TERRITORIES BASED ON THE MAXIMUM ENTROPY DISTRIBUTION MODEL Type Journal Article
  Year 2019 Publication Abbreviated Journal  
  Volume (up) 98 Issue 3 Pages 332-342  
  Keywords Snow leopard, irbis, Panthera uncia, Maxent, habitat model, potential habitat  
  Abstract The snow leopard is an endangered large felid inhabiting highlands of 12 Asian countries. It is distributed

across vast territories and adequate modern methods are required for mapping its potential habitats. The goal

of the present study is to create a model of snow leopard potential habitat within the northern part of its range

in Russia (and adjacent territories of Mongolia, China and Kazakhstan). More than 5 years of observations

(total number of presence points = 449), environmental variables and the maximum entropy distribution

method (Maxent) are used. The resulting map demonstrates that a suitable habitat (probability of the animal&#65533;s

presence between 0.5 and 1) of the northern population of snow leopard in Russia occupies 16500 km2

with a buffer of transient territories (probability between 0.25 and 0.49) covering 32800 km2. Most of a suitable

habitat within the study area is associated with the Altai Mountains, Western Sayan Mountains, Sangilen

Plateau, Tsagan-Shibetu and Shapshal. One third of the suitable habitat lies within areas of a varying protection

status. The results of modeling are of importance both for scientists and conservation managers, as they

allow for leopard occurrence to be predicted, supporting research on and the conservation of the species.
 
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  Notes Approved no  
  Call Number SLN @ rakhee @ Serial 1480  
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