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Author Jiang, Z. url 
  Title Snow leopards in the Dulan International Hunting Ground, Qinghai, China Type Report
  Year 2005 Publication Abbreviated Journal  
  Volume Issue Pages (down) 1-8  
  Keywords snow; snow leopards; snow leopard; snow-leopards; snow-leopard; leopards; leopard; International; hunting; Qinghai; China; project; international snow leopard trust; International-Snow-Leopard-Trust; trust; program; surveys; survey; mountains; mountain; province; transect; study; area; transects; pug; pug marks; pug-marks; marks; scrapes; scrape; density; densities; wild; ungulates; ungulate; region; camera; environment; photo; capture; population; population size; population-size; Animals; Animal; 20; livestock; Human; attitudes; attitude; tibetan; 30; nature; reserve; uncia; Uncia uncia; Uncia-uncia; species; snow line; snow-line; endemic; alpine; central; Central Asia; asia; countries; country; fox; range; areas; Xinjiang; inner; Inner-Mongolia; Mongolia; Tibet; gansu; Sichuan; habitat; protection; nature reserves; reserves; cat; populations; domestic; laws; law; field; field surveys; field survey; field-surveys; field-survey; Kunlun; distribution; survival; status; Data; conservation  
  Abstract From March to May, 2006œªwe conducted extensive snow leopard surveys in the Burhanbuda Mountain Kunlun Mountains, Qinghai Province, China. 32 linear transect of 5~15 km each, which running through each vegetation type, were surveyed within the study area. A total of 72 traces of snow leopard were found along 4 transects (12.5% of total transects). The traces included pug marks or footprints, scrapes and urine marks. We estimated the average density of wild ungulates in the region was 2.88ñ0.35 individuals km-2(n=29). We emplaced 16 auto2 trigger cameras in different environments and eight photos of snow leopard were shot by four cameras and the capture rate of snow leopard was 71.4%. The minimum snow leopard population size in the Burhanbuda Mountain was two, because two snow leopards were phototrapped by different cameras at almost same time. Simultaneously, the cameras also shot 63 photos of other wild animals, including five photos are unidentified wild animals, and 20 photos of livestock. We evaluated the human attitudes towards snow leopard by interviewing with 27 Tibetan householders of 30 householders live in the study area. We propose to establish a nature reserve for protecting and managing snow leopards in the region. Snow leopard (Uncia uncia) is considered as a unique species because it lives above the snow line, it is endemic to alpines in Central Asia, inhabiting in 12 countries across Central Asia (Fox, 1992). Snow leopard ranges in alpine areas in Qinghai, Xinjiang, Inner Mongolia, Tibet, Gansu and Sichuan in western China (Liao, 1985, 1986; Zhou, 1987; Ma et al., 2002; Jiang & Xu, 2006). The total population and habitat of snow leopards in China are estimated to be 2,000~2,500 individuals and 1,824,316 km2, only 5% of which is under the protection of nature reserves. The cat's current range is fragmented (Zou & Zheng, 2003). Due to strong human persecutions, populations of snow leopards decreased significantly since the end of the 20th century. Thus, the

snow leopards are under the protection of international and domestic laws. From March to May, 2006, we conducted two field surveys in Zhiyu Village, Dulan County in Burhanbuda Mountain, Kunlun Mountains, China to determine the population, distribution and survival status of snow leopards in the area. The aim of the study was to provide ecologic data for snow leopard conservation.
 
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  Notes Project funded by International Snow Leopard Trust Small Grants Program. Approved no  
  Call Number SLN @ rana @ 1068 Serial 493  
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Author Ming, M. url 
  Title Camera trapping on snow leopards in the Muzat Valley, Reserve, Xinjiang, P.R. China (October-December 2005) Type Report
  Year 2006 Publication Abbreviated Journal  
  Volume Issue Pages (down) 1-5  
  Keywords behavior; camera trapping; China; feces; ibex; infrared trapping cameras; livestock; population size; snow leopard; Tomur; transect; Xinjiang  
  Abstract The main purpose of this work was to study the use of infrared trapping cameras to estimate Snow Leopard population size in a specific study area. This is the first time a study of this nature has taken place in China. During 71 days of field work, a total of 36 cameras were set up in Muzat Valley adjacent to the Tomur Nature Reserve in Xinjiang Province. We expended approximately 2094 trap days total. At least 32 pictures of Snow Leopards, 22 pictures of other wild species and 72 pictures of livestock were taken in the Muzat Valley. Meanwhile, 20 transects were run and 31 feces sample were collected. We also observed the behavior of ibex for 77.3 hours and found a total of approximately 264 ibexes in the research area.  
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  Notes Approved no  
  Call Number SLN @ rana @ 970 Serial 682  
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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 Journal Article
  Year 2023 Publication Oryx Abbreviated Journal  
  Volume Issue Pages (down) 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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  Notes Approved no  
  Call Number SLN @ rakhee @ Serial 1725  
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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 Journal Article
  Year 2015 Publication Oryx Abbreviated Journal  
  Volume Issue Fauna & Flora International Pages (down) 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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  Notes Approved no  
  Call Number SLN @ rakhee @ Serial 1433  
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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 (down) 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 Alexander, J. S., Gopalswamy, A. M., Shi, K., Riordan, P. url  doi
  Title Face Value: Towards Robust Estimates of Snow Leopard Densities Type Journal Article
  Year 2015 Publication Plos One Abbreviated Journal  
  Volume Issue Pages (down)  
  Keywords Densities, Snow Leopard, Camera traps, Spatial Capture Recapture models  
  Abstract When densities of large carnivores fall below certain thresholds, dramatic ecological effects

can follow, leading to oversimplified ecosystems. Understanding the population status of

such species remains a major challenge as they occur in low densities and their ranges are

wide. This paper describes the use of non-invasive data collection techniques combined

with recent spatial capture-recapture methods to estimate the density of snow leopards

Panthera uncia. It also investigates the influence of environmental and human activity indicators

on their spatial distribution. A total of 60 camera traps were systematically set up during

a three-month period over a 480 km2 study area in Qilianshan National Nature Reserve,

Gansu Province, China. We recorded 76 separate snow leopard captures over 2,906 trapdays,

representing an average capture success of 2.62 captures/100 trap-days. We identified

a total number of 20 unique individuals from photographs and estimated snow leopard

density at 3.31 (SE = 1.01) individuals per 100 km2. Results of our simulation exercise indicate

that our estimates from the Spatial Capture Recapture models were not optimal to

respect to bias and precision (RMSEs for density parameters less or equal to 0.87). Our

results underline the critical challenge in achieving sufficient sample sizes of snow leopard

captures and recaptures. Possible performance improvements are discussed, principally by

optimising effective camera capture and photographic data quality.
 
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  Notes Approved no  
  Call Number SLN @ rakhee @ Serial 1431  
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Author Henschel, P.; Ray, J. url 
  Title Leopards in African Rainforests: Survey and Monitoring Techniques Type Miscellaneous
  Year 2003 Publication Abbreviated Journal  
  Volume Issue Pages (down)  
  Keywords forest leopards; african rainforests; survey; monitoring techniques; lope reserve; gabon; central africa; congo; zaire; field testing; populations; wild meat; relative abundance; density; live-trapping; presence and absense surveys; ad-hoc survey; bushmeat; systematic survey; monitoring; individual identification; tracks; Discriminant Function Analysis; genotyping; scat; Hair; Dna; remote photography; camera trapping; capture rates; Trailmaster; Camtrakker; bait; duikers; pigs; elephant; bongo; okapi; human hunters; 5300  
  Abstract Monitoring Techniques Forest leopards have never been systematically surveyed in African forests, in spite of their potentially vital ecological role as the sole large mammalian predators in these systems. Because leopards are rarely seen in this habitat, and are difficult to survey using the most common techniques for assessing relative abundances of forest mammals, baseline knowledge of leopard ecology and responses to human disturbance in African forests remain largely unknown. This technical handbook sums up the experience gained during a two-year study of leopards by Philipp Henschel in the Lop‚ Reserve in Gabon, Central Africa, in 2001/2002, supplemented by additional experience from carnivore studies conducted by Justina Ray in southwestern Central African Republic and eastern Congo (Zaire) . The main focus of this effort has been to develop a protocol that can be used by fieldworkers across west and central Africa to estimate leopard densities in various forest types. In developing this manual, Henschel tested several indirect methods to assess leopard numbers in both logged and unlogged forests, with the main effort devoted to testing remote photography survey methods developed for tigers by Karanth (e.g., Karanth 1995, Karanth & Nichols 1998; 2000; 2002), and modifying them for the specific conditions characterizing African forest environments. This handbook summarizes the results of the field testing, and provides recommendations for techniques to assess leopard presence/absence, relative abundance, and densities in African forest sites. We briefly review the suitability of various methods for different study objectives and go into particular detail on remote photography survey methodology, adapting previously developed methods and sampling considerations specifically to the African forest environment. Finally, we briefly discuss how camera trapping may be used as a tool to survey other forest mammals. Developing a survey protocol for African leopards is a necessary first step towards a regional assessment and priority setting exercise targeted at forest leopards, similar to those carried out on large carnivores in Asian and South American forests.  
  Address  
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  Publisher Place of Publication Editor Wildlife Conservation Society  
  Language Summary Language Original Title  
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  Notes Approved no  
  Call Number SLN @ rana @ 515 Serial 382  
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Author WWF Russia & Mongolia url 
  Title WWF Altai-Sayan Newsletter Type Report
  Year 2010 Publication Abbreviated Journal  
  Volume Issue 14 Pages (down)  
  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  
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  Notes October-December 2010. Email: tivanitskaya@wwf.ru Approved no  
  Call Number SLN @ rana @ Serial 1297  
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Author Spearing, A. url 
  Title A Note on the Prospects for Snow Leopard Census Using Photographic Capture Type Conference Article
  Year 2002 Publication Abbreviated Journal  
  Volume Issue Pages (down)  
  Keywords snow; leopard; photo; trap; camera; image; capture; 35mm; film; 5080  
  Abstract  
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  Publisher Islt Place of Publication Islt Editor  
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  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 Jackson, R.; Roe, J. url 
  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 (down)  
  Keywords snow; leopard; monitoring; population; uncia; non; invasive; photo; camera; trap; traps; 4970  
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  Publisher Islt Place of Publication Islt Editor  
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  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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