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Author Suryawanshi, K. R., Khanyari, M., Sharma, K., Lkhagvajav, P., Mishra, C. url 
  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 (up) 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.
 
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  Notes Approved no  
  Call Number SLN @ rakhee @ Serial 1477  
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Author Sivolobov, R. url 
  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 (up) 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.
 
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  Area Expedition Conference  
  Notes Approved no  
  Call Number SLN @ rakhee @ Serial 1456  
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Author Johansson, O., Kachel, S., Weckworth, B. pdf 
  Title Guidelines for Telemetry Studies on Snow Leopards Type Journal Article
  Year 2022 Publication Animals Abbreviated Journal  
  Volume 12 Issue 1663 Pages 1-12  
  Keywords animal welfare; capture; collar; felid; GPS; immobilization; Panthera uncia; trapping  
  Abstract (up) Animal-borne tracking devices have generated a wealth of new knowledge, allowing us to better understand, manage and conserve species. Fitting such tracking devices requires that animals are captured and often chemically immobilized. Such procedures cause stress and involve the risk of injuries and loss of life even in healthy individuals. For telemetry studies to be justifiable, it is vital that capture operations are planned and executed in an efficient and ethical way. Project objectives must be clearly articulated to address well-defined knowledge gaps, and studies designed to maximize the probability of achieving those goals. We provide guidelines for how to plan, design, and implement telemetry studies with a special emphasis on snow leopards that are typically captured using foot snares. We also describe the necessary steps to ensure that captures are conducted safely, and with minimal stress to animals.  
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  Area Expedition Conference  
  Notes Approved no  
  Call Number SLN @ rakhee @ Serial 1712  
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Author Kashkarov, E. url 
  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 (up) 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.
 
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  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. pdf 
  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 (up) 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. url 
  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 (up) 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.  
  Address  
  Corporate Author Thesis  
  Publisher GEO International Place of Publication India Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
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  Area Expedition Conference  
  Notes Approved no  
  Call Number SLN @ rana @ Serial 1139  
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Author Jackson, R.; Roe, J.; Wangchuk, R.; Hunter, D. url 
  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 (up) 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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  Notes Approved no  
  Call Number SLN @ rana @ 912 Serial 476  
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Author Thapa, K., Pradhan, N, M, B., Barker, J., Dhakal, M., Bhandari, A, R., Gurung, G, S., Rai, D, P., Thapa, G, J., Shrestha, S., Singh, G, R. url 
  Title High elevation record of a leopard cat in the Kangchenjunga Conservation Area, Nepal Type Journal Article
  Year 2013 Publication Cat News Abbreviated Journal  
  Volume Issue No 58 Pages 26-27  
  Keywords leopard cat, camera trapping survey, Nepal  
  Abstract (up) During a camera trapping survey in Khambachen valley of Kangchenjunga Conservation

Area KCA from 24 April to 26 May 2012 we camera trapped one leopard cat

Prionailurus bengalensis at an altitude of 4,474 meter. This is probably the highest

altitudinal record for the species in its range. Additionally, one melanistic leopard

Panthera pardus was captured at an altitude of 4,300 m, which is probably as well the

highest documented record in the country. Yet at this stage, no obvious reason can

explain these unusual high records for both species, thus more surveys are recommended

for this region.
 
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  Area Expedition Conference  
  Notes Approved no  
  Call Number SLN @ rakhee @ Serial 1394  
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Author Rode, J., Lambert, C., Marescot, L., Chaix, B., Beesau, J., Bastian, S., Kyrbashev, J., Cabanat, A.L. pdf 
  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 (up) 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  
Permanent link to this record
 

 
Author Salvatori, M., Tenan, S., Oberosler, V., Augugliaro, C., Christe, P., Groff, C., Krofel, M., Zimmermann, F., Rovero, F. pdf 
  Title Co-occurrence of snow leopard, wolf and Siberian ibex under livestock encroachment into protected areas across the Mongolian Altai Type Journal Article
  Year 2021 Publication Biological Conservatio Abbreviated Journal  
  Volume 261 Issue 109294 Pages 1-14  
  Keywords Camera-trapping, Panthera uncia, Canis lupus, Capra sibirica, Occupancy, Human-wildlife conflicts, Activity pattern  
  Abstract (up) In countries such as Mongolia, where globalization of the cashmere market has spurred herders to massively increase their livestock numbers, an important conservation concern is the effect of livestock encroachment on wildlife. This is especially important inside protected areas (PAs), which often represent the last refugia for threatened large mammals. We used camera-traps to sample four areas with different protection status across the Mongolian Altai Mountains, and targeted a predator-prey system composed of livestock, one large herbivore, the Siberian ibex, and two large carnivores, the snow leopard and the wolf. To determine the effect of livestock on habitat use by the wild species and their spatio-temporal co-occurrence we applied an occupancy framework explicitly developed for modelling interacting species. We recorded a widespread presence of domestic animals in the PAs, and observed avoidance of sites used by livestock by snow leopard and ibex, while wolves tended to co-occur with it. Snow leopard and ibex showed clear mutual co-occurrence, indicating a tight predator-prey relationship. Results provide evidence that, at the scale of sites sampled primarily to maximise snow leopard detections, grazing livestock interferes with wild species by inducing avoidance in snow leopards, and attraction in wolves. We suggest that (1) PAs management should enforce real grazing limitations on the ground, especially in the core areas of the parks; (2) new policies incorporating wildlife conservation into government subsidies to pastoralists should be envisaged, to prevent increasing displacement of snow leopards and ibex; (3) as wolves co- occurred with livestock, with the potential for human-wildlife conflicts, we encourage the use of a set of prevention techniques to mitigate livestock depredation.  
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  Area Expedition Conference  
  Notes Approved no  
  Call Number SLN @ rakhee @ Serial 1659  
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