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	Author	Jackson, R.; Roe, J.
	Title	Preliminary Observations On Non-Invasive Techniques for Identifying Individual Snow Leopards and Monitoring Populations			Type	Conference Article
	Year	2002	Publication		Abbreviated Journal
	Volume		Issue		Pages
	Keywords	snow; leopard; monitoring; population; uncia; non; invasive; photo; camera; trap; traps; 4970
	Abstract
	Address
	Corporate Author				Thesis
	Publisher	Islt	Place of Publication	Islt	Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes	Abastract OnlyTitle, Monographic: Proceedings of the Snow Leopard Survival SummitPlace of Meeting: Seattle,WA			Approved	no
	Call Number	SLN @ rana @ 483			Serial	469
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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.
	Abstract
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes				Approved	no
	Call Number	SLN @ rakhee @			Serial	1407
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	Author	Spearing, A.
	Title	A Note on the Prospects for Snow Leopard Census Using Photographic Capture			Type	Conference Article
	Year	2002	Publication		Abbreviated Journal
	Volume		Issue		Pages
	Keywords	snow; leopard; photo; trap; camera; image; capture; 35mm; film; 5080
	Abstract
	Address
	Corporate Author				Thesis
	Publisher	Islt	Place of Publication	Islt	Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes	Title, Monographic: Proceedings of the Snow Leopard Survival SummitPlace of Meeting: Seattle,WA			Approved	no
	Call Number	SLN @ rana @ 494			Serial	918
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	Author	Sharma, K., Fiechter, M., George, T., Young, J., Alexander, J. S., Bijoor, Suryawanshi, K., Mishra, C.
	Title	Conservation and people: Towards an ethical code of conduct for the use of camera traps in wildlife research			Type	Journal Article
	Year	2020	Publication	Ecological Solutions and Evidence	Abbreviated Journal
	Volume		Issue		Pages	1-6
	Keywords	camera trap, code of conduct, ethics, human rights, law, PARTNERS principles for community- based conservation, privacy, snow leopard
	Abstract	1. Camera trapping is a widely employed tool in wildlife research, used to estimate animal abundances, understand animal movement, assess species richness and under- stand animal behaviour. In addition to images of wild animals, research cameras often record human images, inadvertently capturing behaviours ranging from innocuous actions to potentially serious crimes. 2. With the increasing use of camera traps, there is an urgent need to reflect on how researchers should deal with human images caught on cameras. On the one hand, it is important to respect the privacy of individuals caught on cameras, while, on the other hand, there is a larger public duty to report illegal activity. This creates ethical dilemmas for researchers. 3. Here, based on our camera-trap research on snow leopards Panthera uncia, we outline a general code of conduct to help improve the practice of camera trap based research and help researchers better navigate the ethical-legal tightrope of this important research tool.
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes				Approved	no
	Call Number				Serial	1626
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	Author	WWF Russia & Mongolia
	Title	WWF Altai-Sayan Newsletter			Type	Report
	Year	2010	Publication		Abbreviated Journal
	Volume		Issue	14	Pages
	Keywords	Altai Sayan, WWF, camera trap, Argut River, poaching, conservation, Tuva
	Abstract	A Snow Leopard – A Treasure of Tuva. A beautiful animal as a winner of a wide-scale public vote WWF will train a Scat Detection Dog for snow leopard monitoring project WWF assessed the possibility to fight illegal helicopter hunting WWF considers support of antipoaching activities an essential part of wildlife conservation in Altai – Sayan Snow Leopard Camera Trapping in Argut River Valley “Stars” of Tuva appeal to Snow Leopard Conservation
	Address
	Corporate Author	Communication Staff of Altai - Sayan Programme in Russia and Mongolia			Thesis
	Publisher	WWF	Place of Publication		Editor
	Language	English	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes	October-December 2010. Email: tivanitskaya@wwf.ru			Approved	no
	Call Number	SLN @ rana @			Serial	1297
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	Author	Alexander, J. S., Shi, K., Tallents, L. A., Riordan, P.
	Title	On the high trail: examining determinants of site use by the Endangered snow leopard Panthera uncia in Qilianshan, China			Type	Journal Article
	Year	2015	Publication	Oryx	Abbreviated Journal
	Volume		Issue	Fauna & Flora International	Pages	1-8
	Keywords	Camera Trap, China, Detection Probability, Occupancy Modelling, Panthera Uncia, Site use, Snow Leopard
	Abstract	Abstract There is a need for simple and robust techniques for assessment and monitoring of populations of the Endangered snow leopard Panthera uncia to inform the de- velopment of action plans for snow leopard conservation. We explored the use of occupancy modelling to evaluate the influence of environmental and anthropogenic features on snow leopard site-use patterns. We conducted a camera trap survey across  km in Gansu Province, China, and used data from  camera traps to estimate probabilities of site use and detection using the single season occupancy model. We assessed the influence of three covariates on site use by snow leopards: elevation, the presence of blue sheep Pseudois nayaur and the presence of human disturb- ance (distance to roads). We recorded  captures of snow leopards over , trap-days, representing a mean capture success of . captures per  trap-days. Elevation had the strongest influence on site use, with the probability of site use increasing with altitude, whereas the influence of presence of prey and distance to roads was relatively weak. Our findings indicate the need for practical and robust tech- niques to appraise determinants of site use by snow leo- pards, especially in the context of the limited resources available for such work.
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes				Approved	no
	Call Number	SLN @ rakhee @			Serial	1433
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	Author	Suryawanshi, K. R., Khanyari, M., Sharma, K., Lkhagvajav, P., Mishra, C.
	Title	Sampling bias in snow leopard population estimation studies			Type	Journal Article
	Year	2019	Publication	Population Eccology	Abbreviated Journal
	Volume		Issue		Pages	1-9
	Keywords	camera trap, Central Asia, Himalaya, meta-analysis, monitoring, Panthera uncia, population ecology
	Abstract	Accurate assessments of the status of threatened species and their conservation planning require reliable estimation of their global populations and robust monitoring of local population trends. We assessed the adequacy and suitability of studies in reliably estimating the global snow leopard (Panthera uncia) population. We compiled a dataset of all the peer-reviewed published literature on snow leopard population estimation. Metadata analysis showed estimates of snow leopard density to be a negative exponential function of area, suggesting that study areas have generally been too small for accurate density estimation, and sampling has often been biased towards the best habitats. Published studies are restricted to six of the 12 range countries, covering only 0.3�0.9% of the presumed global range of the species. Re-sampling of camera trap data from a relatively large study site (c.1684 km2) showed that small-sized study areas together with a bias towards good quality habitats in existing studies may have overestimated densities by up to five times. We conclude that current information is biased and inadequate for generating a reliable global population estimate of snow leopards. To develop a rigorous and useful baseline and to avoid pitfalls, there is an urgent need for (a) refinement of sampling and analytical protocols for population estimation of snow leopards (b) agreement and coordinated use of standardized sampling protocols amongst researchers and governments across the range, and (c) sampling larger and under-represented areas of the snow leopard's global range.
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes				Approved	no
	Call Number	SLN @ rakhee @			Serial	1477
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	Author	Sivolobov, R.
	Title	ENDANGERED SPECIES OF KORYAKIA AND CHUKOTKA: IRBIS, TIGER AND THE IRKUYEM-BEAR			Type	Journal Article
	Year	2017	Publication		Abbreviated Journal
	Volume		Issue		Pages	225-233
	Keywords	endangered species, Beringian snow cat, Snow leopard, Irbis, Amur tiger, Irkuyem-bear, camera-trap, Koryakia, Chukotka
	Abstract	After 30 years of searching for the mysterious Beringian snow cat in vast space of Koryakia and Chukotka one of the five cameras recorded finally this beast at night in September 2014. This is not so much a sensation as a real scientific discovery, saying that the hearts of the snow leopard population resettlement are not in 5000 km from the main range boundaries, but much closer. Where? � will show further studies. In addition to the snow leopard in the North-Eastern Asia, it found two more endangered large mammal species: the Amur tiger and the relict of the Ice Age � the Irkuyem-bear. Author has given these animals his life and his article devoted to this topic.
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes				Approved	no
	Call Number	SLN @ rakhee @			Serial	1456
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	Author	Kashkarov, E.
	Title	THE SNOW LEOPARD OF KIRGIZIA: NATIONAL SHAME OR NATIONAL PRIDE			Type	Journal Article
	Year	2017	Publication		Abbreviated Journal
	Volume		Issue		Pages	239-253
	Keywords	snow leopard, irbis, ibex, mountain sheep, conservation, range, reserve, monitoring, cameratrap, Sarychat, Kirgizia, Central Asia.
	Abstract	Article examines the problems existing in conservation of the snow leopard in Kirgizia after break-up of the USSR. Unfortunate situation is common to most of the 14 countries in the snow leopard range, but seems especially sharp to Kirgizia. Yet half of the century ago Kirgizia has had about 1.5 thousand of the snow leopards, and today there remains no more than 1/10. In Soviet time Kirgizia was a global supplier of the snow leopards for the zoo-export � to create a reserve number of endangered cats in captivity. Today, at least half of the snow leopards in the Zoos of the world are individuals, caught in Kirgizia or their descendants. Since independence, Kirgizia has set new records. In Sarychat-Irtash reserve � the best for the snow leopard in Central Asia, and probably in the whole range � this species was completely destroyed after 3 years of reserve opening... and 17 years later � revived... Situation comes presently back to the worst-case scenario, and not only for the snow leopard. Author shows how work in this direction social and economic levers, and what kind future he would like to see in Kirgizia, where he lived for 12 years and was at the forefront of pioneering research of the snow leopard and its conservation.
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes				Approved	no
	Call Number	SLN @ rakhee @			Serial	1454
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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.
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes				Approved	no
	Call Number	SLN @ rakhee @			Serial	1715
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