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	Author	Oli, M.K.
	Title	A key for the identification of the hair of mammals of a snow leopard (Panthera uncia) habitat in Nepal			Type	Journal Article
	Year	1993	Publication	Journal of Zoology London	Abbreviated Journal
	Volume	231	Issue	1	Pages	71-93
	Keywords	Nepal; snow leopard; scats; Hair; diet; identification; Panthera-uncia; browse; panthera uncia; panthera; uncia; 780
	Abstract	Analysis of prey remains in scats, particularly hairs, in widely used to study diet of mammalian predators, but identification of hair is often difficult because hair structures vary considerably both within and between species. Use of photographic reference of diagnostically important hair structures from mammals occurring in a predator's habitat has been found to be convenient for routine identification. A photographic reference key was developed for the identification of hairs of the mammals known to occur in a snow leopard (Panthera uncia) habitat in the Annapurna Conservation Area, Nepal. The key included a photographic reference of the diagnostic hair structures of nine species of wild and five species of domestic mammals. The cross-sectional appearance, shape and arrangement of medulla, the ratio of cortex to medulla, and the form and distribution of pigment in medulla and cortex were important diagnostic aids in the identification of hairs.
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	Notes	Document Type: English Call Number: QL1 .J879			Approved	no
	Call Number	SLN @ rana @ 207			Serial	745
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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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	Author	Chakraborty, R.E.; Chakraborty, S.
	Title	Identification of dorsal guard hairs of Indian species of the genus Panthera Oken (Carnivora: Felidae)			Type	Journal Article
	Year	1996	Publication	Mammalia	Abbreviated Journal
	Volume	60	Issue	3	Pages	480
	Keywords	identification; India; hair-samples; guard; hairs; panthera; uncia; tigris; leo; pardus; browse; 660
	Abstract	Dorsal guard hairs of four living Indian species of the genus Panthera, viz. P. tigris, P. leo, P. pardus and P. uncia have been studied. It is found that the characters are somewhat overlapping, but identification of the species may be possible from the combination of characters.
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	Notes	Document Type: English Call Number: 599.05 MA			Approved	no
	Call Number	SLN @ rana @ 270			Serial	209
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	Author	Jackson, R.; Roe, J.; Wangchuk, R.; Hunter, D.
	Title	Estimating Snow Leopard Population Abundance Using Photography and Capture-Recapture Techniques			Type	Miscellaneous
	Year	2006	Publication	Wildlife Society Bulletin	Abbreviated Journal
	Volume	34	Issue	3	Pages	772-781
	Keywords	abundance; camera trapping; capture rates; dentistry; identification; India; photography; snow leopard; Uncia uncia
	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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	Call Number	SLN @ rana @ 912			Serial	476
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	Author	Waits, L.P.; Buckley-Beason, V.A.; Johnson, W.E.; Onorato, D.; McCarthy, T.
	Title	A select panel of polymorphic microsatellite loci for individual identification of snow leopards (Panthera uncia)			Type	Miscellaneous
	Year	2006	Publication	Molecular Ecology Notes	Abbreviated Journal
	Volume	7	Issue		Pages	311-314
	Keywords	identification; leopard; leopards; microsatellites,noninvasive genetic sampling,Panthera uncia,snow leopard; panthera; Panthera-uncia; panthera uncia; snow; snow-leopard; snow-leopards; snow leopard; snow leopards; uncia; endangered; carnivores; carnivore; mountain; region; central; Central Asia; asia; methods; conservation; management; Molecular; individual identification; Hair; domestic; cat; felis; captive; number; probability; using; wild
	Abstract	Snow leopards (Panthera uncia) are elusive endangered carnivores found in remote mountain regions of Central Asia. New methods for identifying and counting snow leopards are needed for conservation and management efforts. To develop molecular genetic tools for individual identification of hair and faecal samples, we screened 50 microsatellite loci developed for the domestic cat (Felis catus) in 19 captive snow leopards. Forty-eight loci were polymorphic with numbers of alleles per locus ranging from two to 11. The probability of observing matching genotypes for unrelated individuals (2.1 x10-11) and siblings (7.5x10-5) using the 10 most polymorphic loci was low, suggesting that this panel would easily discriminate among individuals in the wild.
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	Notes				Approved	no
	Call Number	SLN @ rana @ 865			Serial	1001
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	Author	Janecka, J. E., Jackson, R., Munkhtsog, B., Murphy, W. J.
	Title	Characterization of 9 microsatellites and primers in snow leopards and a species-specific PCR assay for identifying noninvasive samples			Type	Journal Article
	Year	2014	Publication	Conservation Genetic Resource	Abbreviated Journal
	Volume	6	Issue	2	Pages	369:373
	Keywords	Microsatellites,Cytochrome b, Snow Leopard, Noninvasive genetics, Individual identification
	Abstract	Molecular markers that can effectively identify noninvasively collected samples and provide genetic information are critical for understanding the distribution, status, and ecology of snow leopards (Panthera uncia). However, the low DNA quantity and quality in many noninvasive samples such as scats makes PCR amplification and genotyping challenging. We therefore designed primers for 9 microsatellites loci previously isolated in the domestic cat (Felis catus) specifically for snow leopard studies using noninvasive samples. The loci showed moderate levels of variation in two Mongolian snow leopard populations. Combined with seven other loci that we previously described, they have sufficient variation (He = 0.504, An = 3.6) for individual identification and population structure analysis. We designed a species species specific PCR assay using cytochrome b for identification of unknown snow leopard samples. These molecular markers facilitate in depth studies to assess distribution, abundance, population structure, and landscape connectivity of this endangered species. endangered species
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	Notes				Approved	no
	Call Number	SLN @ rakhee @			Serial	1427
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	Author	Janecka, J. E., Jackson, R., Munkhtsog, B., Murphy, W. J.
	Title	Characterization of 9 microsatellites and primers in snow leopards and a species-specific PCR assay for identifying noninvasive samples			Type	Journal Article
	Year	2014	Publication	Conservation Genetic Resource	Abbreviated Journal
	Volume	6	Issue	2	Pages	369:373
	Keywords	Microsatellites,Cytochrome b, Snow Leopard, Noninvasive genetics, Individual identification
	Abstract	Molecular markers that can effectively identify noninvasively collected samples and provide genetic information are critical for understanding the distribution, status, and ecology of snow leopards (Panthera uncia). However, the low DNA quantity and quality in many noninvasive samples such as scats makes PCR amplification and genotyping challenging. We therefore designed primers for 9 microsatellites loci previously isolated in the domestic cat (Felis catus) specifically for snow leopard studies using noninvasive samples. The loci showed moderate levels of variation in two Mongolian snow leopard populations. Combined with seven other loci that we previously described, they have sufficient variation (He = 0.504, An = 3.6) for individual identification and population structure analysis. We designed a species species specific PCR assay using cytochrome b for identification of unknown snow leopard samples. These molecular markers facilitate in depth studies to assess distribution, abundance, population structure, and landscape connectivity of this endangered species.
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	Notes				Approved	no
	Call Number	SLN @ rakhee @			Serial	1428
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	Author	Geptner V.G.
	Title	Genus snow leopard or irbis			Type	Miscellaneous
	Year	1972	Publication		Abbreviated Journal
	Volume	Vol. 2, Part 2.	Issue		Pages
	Keywords	Ussr; snow leopard; identification; phylogeny; distribution; number; life history; use.; 6760; Russian
	Abstract	It describes genus and species features of snow leopard such as appearance, skull, sizes, phylogenetic links, distribution, geographic variability, biology including number, habitat, refuges, activity in daylight and night, behavioral patterns, reproduction, enemies and rivals, and practical use of the species.
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	Notes	Full text available in RussianJournal Title: Mammals of the Soviet Union.			Approved	no
	Call Number	SLN @ rana @ 654			Serial	336
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	Author	Brem A.E.
	Title	Irbis, or snow leopard (Felis uncia)			Type	Miscellaneous
	Year	1992	Publication		Abbreviated Journal
	Volume	Vol.1. Mammals.	Issue		Pages	204-205
	Keywords	snow leopard; distribution; identification features.; 6390; Russian
	Abstract	Snow leopard is met in the mountains of Turkistan, Altai, Bukhara, Pamir, Kashmir, and Tibet, and probably in South-East Siberia and along Sungari. In 1871, two animals were living in the Moscow Zoo Garden.
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	Notes	Full text available in RussianJournal Title: Life of animals.			Approved	no
	Call Number	SLN @ rana @ 617			Serial	195
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	Author	Henschel, P.; Ray, J.
	Title	Leopards in African Rainforests: Survey and Monitoring Techniques			Type	Miscellaneous
	Year	2003	Publication		Abbreviated Journal
	Volume		Issue		Pages
	Keywords	forest leopards; african rainforests; survey; monitoring techniques; lope reserve; gabon; central africa; congo; zaire; field testing; populations; wild meat; relative abundance; density; live-trapping; presence and absense surveys; ad-hoc survey; bushmeat; systematic survey; monitoring; individual identification; tracks; Discriminant Function Analysis; genotyping; scat; Hair; Dna; remote photography; camera trapping; capture rates; Trailmaster; Camtrakker; bait; duikers; pigs; elephant; bongo; okapi; human hunters; 5300
	Abstract	Monitoring Techniques Forest leopards have never been systematically surveyed in African forests, in spite of their potentially vital ecological role as the sole large mammalian predators in these systems. Because leopards are rarely seen in this habitat, and are difficult to survey using the most common techniques for assessing relative abundances of forest mammals, baseline knowledge of leopard ecology and responses to human disturbance in African forests remain largely unknown. This technical handbook sums up the experience gained during a two-year study of leopards by Philipp Henschel in the Lop‚ Reserve in Gabon, Central Africa, in 2001/2002, supplemented by additional experience from carnivore studies conducted by Justina Ray in southwestern Central African Republic and eastern Congo (Zaire) . The main focus of this effort has been to develop a protocol that can be used by fieldworkers across west and central Africa to estimate leopard densities in various forest types. In developing this manual, Henschel tested several indirect methods to assess leopard numbers in both logged and unlogged forests, with the main effort devoted to testing remote photography survey methods developed for tigers by Karanth (e.g., Karanth 1995, Karanth & Nichols 1998; 2000; 2002), and modifying them for the specific conditions characterizing African forest environments. This handbook summarizes the results of the field testing, and provides recommendations for techniques to assess leopard presence/absence, relative abundance, and densities in African forest sites. We briefly review the suitability of various methods for different study objectives and go into particular detail on remote photography survey methodology, adapting previously developed methods and sampling considerations specifically to the African forest environment. Finally, we briefly discuss how camera trapping may be used as a tool to survey other forest mammals. Developing a survey protocol for African leopards is a necessary first step towards a regional assessment and priority setting exercise targeted at forest leopards, similar to those carried out on large carnivores in Asian and South American forests.
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	Publisher		Place of Publication		Editor	Wildlife Conservation Society
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	Notes				Approved	no
	Call Number	SLN @ rana @ 515			Serial	382
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