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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 (down) 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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  Call Number SLN @ rakhee @ Serial 1715  
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Author Allen, M. L., Rovero, F., Oberosler, V., Augugliaro, C., Krofel, M. pdf 
  Title Effects of snow leopards (Panthera uncia) on olfactory communication of Pallas’s cats (Otocolobus manul) in the Altai Mountains, Mongolia Type (down) Journal Article
  Year 2023 Publication Behaviour Abbreviated Journal  
  Volume Issue Pages 1-9  
  Keywords behaviour, camera trap, Mongolia, Otocolobus manul, Panthera uncia, scent marking.  
  Abstract Olfactory communication is important for many solitary carnivores to delineate territories and communicate with potential mates and competitors. Pallas’s cats (Otocolobus manul) are small felids with little published research on their ecology and behaviour, including if they avoid or change behaviours due to dominant carnivores. We studied their olfactory communication and visitation at scent-marking sites using camera traps in two study areas in Mongolia. We documented four types of olfactory communication behaviours, and olfaction (sniffing) was the most frequent. Pallas’s cats used olfactory communication most frequently at sites that were not visited by snow leopards (Panthera uncia) and when they used communal scent-marking sites, they were more likely to use olfactory communication when a longer time had elapsed since the last visit by a snow leopard. This suggests that Pallas’s cats may reduce advertising their presence in response to occurrence of snow leopards, possibly to limit predation risk.  
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  Notes Approved no  
  Call Number SLN @ rakhee @ Serial 1721  
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Author Zhang, C., Ma, T., Ma, D. pdf 
  Title Status of the snow leopard Panthera uncia in the Qilian Mountains, Gansu Province, China Type (down) 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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  Call Number SLN @ rakhee @ Serial 1725  
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Author Sanyal, O., Bashir, T., Rana, M., Chandan, P. pdf 
  Title First photographic record of the snow leopard Panthera uncia in Kishtwar High Altitude National Park, Jammu and Kashmir, India Type (down) Journal Article
  Year 2023 Publication Oryx Abbreviated Journal  
  Volume Issue Pages 1-5  
  Keywords Camera trapping, India, Kashmir Himalaya, Kishtwar, Panthera uncia, photographic record, snow leopard  
  Abstract The snow leopard Panthera uncia is categorized as Vulnerable on the IUCN Red List. It is the least well-known of the large felids because of its shy and elusive nature and the inaccessible terrain it inhabits across the mountains of Central and South Asia. We report the first photographic record of the snow leopard in Kishtwar High Altitude National Park, India. During our camera-trapping surveys, conducted using a grid-based design, we obtained eight photographs of snow leopards, the first at 3,280 m altitude on 19 September 2022 and subsequent photographs over 3,004-3,878 m altitude. We identified at least four different individuals, establishing the species’ occurrence in Kiyar, Nanth and Renai catchments, with a capture rate of 0.123 ± SE 0.072 captures/100 trap-nights. ghts. We also recorded the presence of snow leopard prey species, including the Siberian ibex Capra sibirica, Himalayan musk deer Moschus leucogaster, long-tailed marmot Marmota caudata and pika Ochotona sp., identifying the area as potential snow leopard habitat. Given the location of Kishtwar High Altitude National Park, this record is significant for the overall snow leopard conservation landscape in India. We recommend a comprehensive study across the Kishtwar landscape to assess the occupancy, abundance, demography and movement patterns of the snow leopard and its prey. In addition, interactions between the snow leopard and pastoral communities should be assessed to understand the challenges facing the conservation and management of this important high-altitude region.  
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  Notes Approved no  
  Call Number SLN @ rakhee @ Serial 1750  
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Author Sivolobov, R. url 
  Title ENDANGERED SPECIES OF KORYAKIA AND CHUKOTKA: IRBIS, TIGER AND THE IRKUYEM-BEAR Type (down) 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.
 
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  Notes Approved no  
  Call Number SLN @ rakhee @ Serial 1456  
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Author Kashkarov, E. url 
  Title THE SNOW LEOPARD OF KIRGIZIA: NATIONAL SHAME OR NATIONAL PRIDE Type (down) 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.
 
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  Notes Approved no  
  Call Number SLN @ rakhee @ Serial 1454  
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Author Alexander, S., A., Zhang, C., Shi, K., Riordan, P. url 
  Title A granular view of a snow leopard population using camera traps in Central China Type (down) Journal Article
  Year 2016 Publication Biological Conservation Abbreviated Journal  
  Volume Issue 197 Pages 27-31  
  Keywords Snow leopard Camera trap China Density Monitoring  
  Abstract Successful conservation of the endangered snow leopard (Panthera uncia) relies on the effectiveness of monitoring programmes. We present the results of a 19-month camera trap survey effort, conducted as part of a longterm study of the snow leopard population in Qilianshan National Nature Reserve of Gansu Province, China. Weassessed the minimumnumber of individual snowleopards and population density across different sampling periods using spatial capture–recapture methods. Between 2013–2014, we deployed 34 camera traps across an area of 375 km2, investing a total of 7133 trap-days effort. Weidentified a total number of 17–19 unique individuals

from photographs (10–12 adults, five sub-adults and two cubs). The total number of individuals identified and estimated density varied across sampling periods, between 10–15 individuals and 1.46–3.29 snow leopards per 100 km2 respectively. We demonstrate that snow leopard surveys of limited scale and conducted over short sampling periods only present partial views of a dynamic and transient system.We also underline the challenges in achieving a sufficient sample size of captures and recaptures to assess trends in snow leopard population size and/or density for policy and conservation decision-making
 
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  Call Number SLN @ rakhee @ Serial 1436  
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Author Alexander, J. S., Shi, K., Tallents, L. A., Riordan, P. url  doi
  Title On the high trail: examining determinants of site use by the Endangered snow leopard Panthera uncia in Qilianshan, China Type (down) 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.  
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  Call Number SLN @ rakhee @ Serial 1433  
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Author Ale, S., Shrestha, B., and Jackson, R. url 
  Title On the status of Snow Leopard Panthera Uncia (Schreber 1775) in Annapurna, Nepal Type (down) 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  
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  Notes Approved no  
  Call Number SLN @ rakhee @ Serial 1407  
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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 (down) Journal Article
  Year 2013 Publication Cat News Abbreviated Journal  
  Volume Issue No 58 Pages 26-27  
  Keywords leopard cat, camera trapping survey, Nepal  
  Abstract 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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