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Author Bower, J.N.
Title For some endangered species, captive breeding programs are their last chance for life Type Magazine Article
Year 1980 Publication National Parks and Conservation Magazine Abbreviated Journal
Volume Issue June Pages 16-19
Keywords (down) snow leopard, captive breeding
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Notes Approved no
Call Number SLN @ rana @ Serial 1209
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Author Marwell Zoological Society
Title The Marwell Zoological Society Type Miscellaneous
Year 1978 Publication Marwell Zoological Society Abbreviated Journal
Volume Issue Pages 9-10
Keywords (down) snow leopard, captive
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Notes new exhibit construction Approved no
Call Number SLN @ rana @ Serial 1205
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Author Bircher, P.
Title Marwell Pres. Trust Annual Report 1979: Curator's Report Type Miscellaneous
Year 1980 Publication Marwell Pres. Trust Annual Report Abbreviated Journal
Volume Issue Pages 5-6
Keywords (down) snow leopard, captive
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Notes Approved no
Call Number SLN @ rana @ Serial 1206
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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 (down) 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 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 (down) 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
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Notes Approved no
Call Number SLN @ rana @ Serial 1139
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Author Fox, J.L.
Title An Annotated Bibliography of Literature on the Snow Leopard Type Report
Year 1985 Publication Abbreviated Journal
Volume Issue June Pages 1-57
Keywords (down) snow leopard, bibliography
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Notes Approved no
Call Number SLN @ rana @ Serial 1202
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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 (down) 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 Geits, A.V., Makarov, O.A.
Title About the distribution of the snow leopard in the Altai Type Conference Article
Year 1977 Publication Rare Types of Mammals and Their Conservation Abbreviated Journal
Volume Issue Pages 115-116
Keywords (down) snow leopard, Altai
Abstract
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Publisher Place of Publication Editor Sokolov, V.E.
Language English Summary Language Original Title
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Notes Translation Approved no
Call Number SLN @ rana @ Serial 1265
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Author Alexander, D.
Title Report from a troubled land: The Soviet invasion of Afghanistan crushed oe of the most promising conservation programs in the Third World Type Journal Article
Year 1980 Publication Abbreviated Journal
Volume Issue Pages
Keywords (down) snow leopard, Afghanistan, conservation, Soviet, war
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Notes Approved no
Call Number SLN @ rana @ Serial 1257
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Author Kichloo, M. A., Sharma, K., Sharma, N.
Title Climate casualties or human disturbance? Shrinking distribution of the three large carnivores in the Greater Himalaya Type Journal Article
Year 2023 Publication Springer – Climatic Change Abbreviated Journal
Volume 176 Issue 118 Pages 1-17
Keywords (down) Snow leopard · Common leopard · Asiatic black bear · Climate change · Multi- season occupancy analysis · Local ecological knowledge · Imperfect detection
Abstract Mammalian carnivores are key to our understanding of ecosystem dynamics, but most of them are threatened with extinction all over the world. Conservating large carnivores is often an arduous task considering the complex relationship between humans and carnivores, and the diverse range and reasons of threats they face. Climate change is exacerbating the situation further by interacting with most existing threats and amplifying their impacts. The Mountains of Central and South Asia are warming twice as rapidly as the rest of the northern hemisphere. There has been limited research on the effect of climate change and other variables on large carnivores. We studied the patterns in spatio-temporal distribution of three sympatric carnivores, common leopard, snow leopard, and Asiatic black bear in Kishtwar high altitude National Park, a protected area in the Great Himalayan region of Jammu and Kashmir. We investigated the effects of key habitat characteristics as well as human disturbance and climatic factors to understand the spatio-temporal change in their distributions between the early 1990s and around the year 2016–2017. We found a marked contraction in the distribution of the three carnivores between the two time periods. While snow leopard shifted upwards and further away from human settlements, common leopard and Asiatic black bear suffered higher rates of local extinctions at higher altitudes and shifted to lower areas with more vegetation, even if that brought them closer to settlements. We also found some evidence that snow leopards were less likely to have faced range contraction in areas with permanent glaciers. Our study underscores the importance of climate adaptive conservation practices for long-term management in the Greater Himalaya, including the monitoring of changes in habitat, and space-use patterns by human communities and wildlife.
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Notes Approved no
Call Number SLN @ rakhee @ Serial 1724
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