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	Author	Zhang, C., Ma, T., Ma, D.
	Title	Status of the snow leopard Panthera uncia in the Qilian Mountains, Gansu Province, China			Type	Journal Article
	Year	2023	Publication	Oryx	Abbreviated Journal
	Volume		Issue		Pages	1-6
	Keywords	Camera trapping, China, density, Panthera uncia, Qilian Mountains, snow leopard, spatially explicit capture–recapture
	Abstract	Population density estimation is integral to the effective conservation and management of wildlife. The snow leopard Panthera uncia is categorized as Vulnerable on the IUCN Red List, and reliable information on its density is a prerequisite for its conservation and management. Little is known about the status of the snow leopard in the central and eastern Qilian Mountains, China. To address this, we estimated the population density of the snow leopard using a spatially explicit capture–recapture model based on camera trapping in Machang in the central and eastern Qilian Mountains during January–March 2019. We set up 40 camera traps and recorded 84 separate snow leopard captures over 3,024 trap-days. We identified 18 individual snow leopards and estimated their density to be 2.26/100 km. Our study provides baseline information on the snow leopard and the first population estimate for the species in the central and eastern Qilian Mountains.
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	Notes				Approved	no
	Call Number	SLN @ rakhee @			Serial	1725
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	Author	Durbach, I., Borchers, D., Sutherland, C., Sharma, K.
	Title	Fast, flexible alternatives to regular grid designs for spatial capture–recapture.			Type	Research Article
	Year	2020	Publication	Methods in Ecology and Evolution	Abbreviated Journal
	Volume		Issue		Pages	1-13
	Keywords	camera trap, population ecology,sampling, spatial capture-recapture, surveys
	Abstract	Spatial capture–recapture (SCR) methods use the location of detectors (camera traps, hair snares and live-capture traps) and the locations at which animals were detected (their spatial capture histories) to estimate animal density. Despite the often large expense and effort involved in placing detectors in a landscape, there has been relatively little work on how detectors should be located. A natural criterion is to place traps so as to maximize the precision of density estimators, but the lack of a closed-form expression for precision has made optimizing this criterion computationally demanding. 2. Recent results by Efford and Boulanger (2019) show that precision can be well approximated by a function of the expected number of detected individuals and expected number of recapture events, both of which can be evaluated at low computational cost. We use these results to develop a method for obtaining survey designs that optimize this approximate precision for SCR studies using count or binary proximity detectors, or multi-catch traps. 3. We show how the basic design protocol can be extended to incorporate spatially varying distributions of activity centres and animal detectability. We illustrate our approach by simulating from a camera trap study of snow leopards in Mongolia and comparing estimates from our designs to those generated by regular or optimized grid designs. Optimizing detector placement increased the number of detected individuals and recaptures, but this did not always lead to more precise density estimators due to less precise estimation of the effective sampling area. In most cases, the precision of density estimators was comparable to that obtained with grid designs, with improvement in some scenarios where approximate CV(¬D) < 20% and density varied spatially. 4. Designs generated using our approach are transparent and statistically grounded. They can be produced for survey regions of any shape, adapt to known information about animal density and detectability, and are potentially easier and less costly to implement. We recommend their use as good, flexible candidate designs for SCR surveys when reasonable knowledge of model parameters exists. We provide software for researchers to construct their own designs, in the form of updates to design functions in the r package oSCR.
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	Notes				Approved	no
	Call Number				Serial	1618
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	Author	Lama, R. P., Ghale, T. R., Suwal, M. K., Ranabhat, R., Regmi, G. R.
	Title	First photographic evidence of Snow Leopard Panthera uncia (Mammalia: Carnivora: Felidae) outside current protected areas network in Nepal Himalaya			Type	Journal Article
	Year	2018	Publication	Journal of Threatened Taxa	Abbreviated Journal
	Volume		Issue		Pages	12086-12090
	Keywords	Camera-trapping, conservation, Humla, livestock depredation, monasteries, non-timber forest products, retaliatory killing, Tibetan Buddhism.
	Abstract	The Snow Leopard Panthera uncia is a rare top predator of high-altitude ecosystems and insufficiently surveyed outside of protected areas in Nepal. We conducted a rapid camera-trapping survey to assess the presence of Snow Leopard in the Limi valley of Humla District. Three individuals were recorded in two camera locations offering the first photographic evidence of this elusive cat outside the protected area network of Nepal. In addition to Snow Leopard, the Blue Sheep Pseudois nayaur, Beech Marten Martes foina, Pika Ochotona spp. and different species of birds were also detected by camera-traps. More extensive surveys and monitoring are needed for reliably estimating the population size of Snow Leopard in the area. The most urgent needs are community-based conservation activities aimed at mitigating immediate threats of poaching, retaliatory killing, and rapid prey depletion to ensure the survival of this top predator in the Himalaya.
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	Notes				Approved	no
	Call Number	SLN @ rakhee @			Serial	1470
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	Author	Ale, S., Shrestha, B., and Jackson, R.
	Title	On the status of Snow Leopard Panthera Uncia (Schreber 1775) in Annapurna, Nepal			Type	Journal Article
	Year	2014	Publication	Journal of Threatened Taxa	Abbreviated Journal
	Volume		Issue	6(3)	Pages	5534-5543
	Keywords	Annapurna, Blue Sheep, Buddhism, camera-trapping, Himalayas, Mustang, sign-survey, Snow Leopard.
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	Call Number	SLN @ rakhee @			Serial	1407
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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	Jackson, R.; Ahlborn, G.; Shah, K.B.
	Title	Capture and Immobilization of wild snow leopards			Type	Journal Article
	Year	1990	Publication	Int.Ped.Book of Snow Leopards	Abbreviated Journal
	Volume	6	Issue		Pages	93-102
	Keywords	capture; immobilization; trapping; browse; traps; snares; ketamine; hydrochloride; Nepal; research; 3370
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	Notes	Full text at URL			Approved	no
	Call Number	SLN @ rana @ 169			Serial	445
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	Author	Sokov, A.I.
	Title	The present status of the snow leopard population in the south western Pamir-Altai Mountains (Tadzhikistan)			Type	Journal Article
	Year	1990	Publication	Int.Ped.Book of Snow Leopards	Abbreviated Journal
	Volume	6	Issue		Pages	33-36
	Keywords	Pamir; Altai; Tadzhikistan; status; distribution; Tajikistan; browse; Ussr; pelts; furs; hunting; trapping; population; 3230
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	Notes	Full text available at URL			Approved	no
	Call Number	SLN @ rana @ 167			Serial	915
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	Author	Rode, J., Lambert, C., Marescot, L., Chaix, B., Beesau, J., Bastian, S., Kyrbashev, J., Cabanat, A.L.
	Title	Population monitoring of snow leopards using camera trapping in Naryn State Nature Reserve, Kyrgyzstan, between 2016 and 2019			Type	Journal Article
	Year	2021	Publication	Global Ecology and Conservation	Abbreviated Journal
	Volume	31	Issue	e01850	Pages	1-6
	Keywords	Snow leopard, camera trapping, Citizen science, Kyrgyzstan
	Abstract	Four field seasons of snow leopard (Panthera uncia) camera trapping inside Naryn State Nature Reserve, Kyrgyzstan, performed thanks to citizen science expeditions, allowed detecting a minimal population of five adults, caught every year with an equilibrated sex ratio (1.5:1) and reproduction: five cubs or subadults have been identified from three litters of two different females. Crossings were observed one to three times a year, in front of most camera traps, and several times a month in front of one of them. Overlap of adults’ minimal territories was observed in front of several camera traps, regardless of their sex. Significant snow leopard presence was detected in the buffer area and at Ulan area which is situated at the reserve border. To avoid poaching on this apex predator and its preys, extending the more stringent protection measures of the core zone to both the Southern buffer area and land adjacent to Ulan is recommended.
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	Notes				Approved	no
	Call Number	SLN @ rakhee @			Serial	1660
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	Author	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.
	Title	Human expertise combined with artificial intelligence improves performance of snow leopard camera trap studies			Type	Journal Article
	Year	2023	Publication	Global Ecology & Conservation	Abbreviated Journal
	Volume	41	Issue	e02350	Pages	1-13
	Keywords	Snow leopard, Artificial intelligence, Camera trap misclassification, individual ID, HotSpotter
	Abstract	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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	Notes				Approved	no
	Call Number	SLN @ rakhee @			Serial	1715
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	Author	Sharma, R.
	Title	Of Men and Mountain Ghosts: Glimpses from the Rooftop of the World			Type	Magazine Article
	Year	2010	Publication	GEO	Abbreviated Journal
	Volume	3	Issue	6	Pages	56-67
	Keywords	snow leopard, camera trap, Spiti, India, Sharma
	Abstract	Catching a glimpse of a snow leopard is a rare and exciting event for anyone. For researchers, hideen camera traps have become a vital tool in their work.
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	Corporate Author				Thesis
	Publisher	GEO International	Place of Publication	India	Editor
	Language	English	Summary Language		Original Title
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	Series Volume		Series Issue		Edition
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	Notes				Approved	no
	Call Number	SLN @ rana @			Serial	1139
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