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Author Jackson, R.
Title Linking Snow Leopard Conservation and People-Wildlife Conflict Resolution, Summary of a multi-country project aimed at developing grass-roots measures to protect the endangered snow leopard from herder retribution Type Journal Article
Year 2000 Publication (up) Cat News Abbreviated Journal
Volume 33 Issue Pages 12-15
Keywords livestock-depredation; livestock; pastoralists; herders; Pakistan; Nepal; Tibet; Mongolia; India; protected-areas; parks; reserves; refuge; snow-leopard-incentive-program; economics; tourism; pens; corrals; enclosures; trapping; poisoning; killing; cubs; dens; retribution; behavior; predator; prey; Qomolangma; habitat; feces; fecal-analysis; compensation; Dogs; guard-dogs; religion; conservation; browse; depredation; snow; leopard; incentive; program; fecal; analysis; guard; Dog; 4000
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Notes Full Text at URL Approved no
Call Number SLN @ rana @ 375 Serial 464
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Author Jackson, R.; Roe, J.; Wangchuk, R.; Hunter, D.
Title Camera-Trapping of Snow Leopards Type Journal Article
Year 2005 Publication (up) Cat News Abbreviated Journal
Volume 42 Issue Spring Pages 19-21
Keywords camera trapping; snow; snow leopards; snow leopard; snow-leopards; snow-leopard; leopards; leopard; felids; tigers; tiger; techniques; surveys; survey; information; factor; marking; behavior; Ahlborn; Jackson; habitat; status; range; census; India; Hemis; High; national; national park; National-park; park; Ladakh; leh
Abstract Solitary felids like tigers and snow leopards are notoriously difficult to enumerate, and indirect techniques like pugmark surveys often produce ambiguous information that is difficult to interpret because many factors influence marking behavior and frequency (Ahlborn & Jackson 1988). Considering the snow leopard's rugged habitat, it is not surprising then that information on its current status and occupied range is very limited. We adapted the camera-trapping techniques pioneered by Ullas Karanth and his associates for counting Bengal tigers to the census taking of snow leopards in the Rumbak watershed of the India's Hemis High Altitude National Park (HNP), located in Ladakh near Leh (76ø 50' to 77ø 45' East; 33ø 15' to 34ø 20'North).
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Notes Approved no
Call Number SLN @ rana @ 1017 Serial 475
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Author Augugliaro, C., Paniccia, C., Janchivlamdan, C., Monti, I. E., Boldbaatar, T., Munkhtsog, B.
Title Mammal inventory in the Mongolian Gobi, with the southeasternmost documented record of the Snow Leopard, Panthera uncia (Schreber, 1775), in the country Type Journal Article
Year 2019 Publication (up) Check List Abbreviated Journal
Volume 15 Issue 4 Pages 575-578
Keywords Camera trapping, desert, live trapping, mammal checklist, species richness, threatened species.
Abstract Studies on mammal diversity and distribution are an important source to develop conservation and management strategies.

The area located in southern Mongolia, encompassing the Alashan Plateau Semi-Desert and the Eastern Gobi Desert-Steppe ecoregions, is considered strategic for the conservation of threatened species. We surveyed the non-volant mammals in the Small Gobi-A Strictly Protected Area (SPA) and its surroundings, by using camera trapping, live trapping, and occasional sightings. We recorded 18 mammal species belonging to 9 families and 6 orders. Among them, 4 are globally threatened or near-threatened, 2 are included in the CITES Appendix I, and 2 are listed in the Appendix II. Moreover, we provide the southeasternmost record for the Snow Leopard (Panthera uncia) in Mongolia, supported by photographic evidence. Our study highlights the importance of this protected area to preserve rare, threatened, and elusive species.
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Notes Approved no
Call Number SLN @ rakhee @ Serial 1486
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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 (up) 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.
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Notes Approved no
Call Number Serial 1626
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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 (up) 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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Publisher GEO International Place of Publication India Editor
Language English Summary Language Original Title
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Area Expedition Conference
Notes Approved no
Call Number SLN @ rana @ Serial 1139
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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 (up) 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 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 (up) 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 Jackson, R.; Ahlborn, G.; Shah, K.B.
Title Capture and Immobilization of wild snow leopards Type Journal Article
Year 1990 Publication (up) 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 (up) 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 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 (up) 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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