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Author Jackson, R.; Roe, J.; Wangchuk, R.; Hunter, D. url 
  Title Camera-Trapping of Snow Leopards Type Journal Article
  Year 2005 Publication 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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  Call Number SLN @ rana @ 1017 Serial 475  
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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 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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  Call Number SLN @ rana @ 912 Serial 476  
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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 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 (up) Approved no  
  Call Number SLN @ rana @ 970 Serial 682  
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Author Sharma, K., Fiechter, M., George, T., Young, J., Alexander, J. S., Bijoor, Suryawanshi, K., Mishra, C. url 
  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 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 (up) Approved no  
  Call Number Serial 1626  
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Author Durbach, I., Borchers, D., Sutherland, C., Sharma, K. url 
  Title Fast, flexible alternatives to regular grid designs for spatial capture–recapture. Type Research Article
  Year 2020 Publication Methods in Ecology and Evolution Abbreviated Journal  
  Volume Issue Pages 1-13  
  Keywords camera trap, population ecology,sampling, spatial capture-recapture, surveys  
  Abstract Spatial capture–recapture (SCR) methods use the location of

detectors (camera traps, hair snares and live-capture traps) and the

locations at which animals were detected (their spatial capture

histories) to estimate animal density. Despite the often large expense

and effort involved in placing detectors in a landscape, there has been

relatively little work on how detectors should be located. A natural

criterion is to place traps so as to maximize the precision of density

estimators, but the lack of a closed-form expression for precision has

made optimizing this criterion computationally demanding. 2. Recent

results by Efford and Boulanger (2019) show that precision can be well

approximated by a function of the expected number of detected

individuals and expected number of recapture events, both of which can

be evaluated at low computational cost. We use these results to develop

a method for obtaining survey designs that optimize this approximate

precision for SCR studies using count or binary proximity detectors, or

multi-catch traps. 3. We show how the basic design protocol can be

extended to incorporate spatially varying distributions of activity

centres and animal detectability. We illustrate our approach by

simulating from a camera trap study of snow leopards in Mongolia and

comparing estimates from our designs to those generated by regular or

optimized grid designs. Optimizing detector placement increased the

number of detected individuals and recaptures, but this did not always

lead to more precise density estimators due to less precise estimation

of the effective sampling area. In most cases, the precision of density

estimators was comparable to that obtained with grid designs, with

improvement in some scenarios where approximate CV(¬D) < 20% and density

varied spatially. 4. Designs generated using our approach are

transparent and statistically grounded. They can be produced for survey

regions of any shape, adapt to known information about animal density

and detectability, and are potentially easier and less costly to

implement. We recommend their use as good, flexible candidate designs

for SCR surveys when reasonable knowledge of model parameters exists. We

provide software for researchers to construct their own designs, in the

form of updates to design functions in the r package oSCR.		  
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  Notes (up) Approved no  
  Call Number Serial 1618  
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Author Xu, A.; Jiang, Z.; Li, C.; Guo, J.; Da, S.; Cui, Q.; Yu, S.; Wu, G. url 
  Title Status and conservation of the snow leopard Panthera uncia in the Gouli Region, Kunlun Mountains, China Type Miscellaneous
  Year 2008 Publication Oryx Abbreviated Journal  
  Volume 42 Issue Pages 460-463  
  Keywords Camera trapping,China,human-wildlife conflict,Kunlun Mountains,Panthera uncia,snow leopard,trace.  
  Abstract The elusive snow leopard Panthera unica is a rare and little studied species in China. Over 1 March-15 May 2006 we conducted a survey for the snow leopard in the Gouli Region, East Burhanbuda Mountain, Kunlun Mountains, Qinghai Province, China, in an area of c. 300 km2 at altitudes of 4,000-4,700 m. We surveyed 29 linear transects with a total length of c. 440 km, and located a total of 72 traces (pug marks, scrapes and urine marks) of snow leopard along four of the transects. We obtained eight photographs of snow leopard from four of six camera traps. We also recorded 1,369 blue sheep, 156 Tibetan gazelles, 47 argali, 37 red deer and one male white-lipped deer. We evaluated human attitudes towards snow leopard by interviewing the heads of 27 of the 30 Tibetan households living in the study area. These local people did not consider that snow leopard is the main predator of their livestock, and thus there is little retaliatory killing. Prospects for the conservation of snow leopard in this area therefore appear to be good. We analysed the potential threats to the species and propose the establishment of a protected area for managing snow leopard and the fragile alpine ecosystem of this region. (c) 2008 Fauna & Flora International.  
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  Notes (up) Approved no  
  Call Number SLN @ rana @ 900 Serial 1032  
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Author Zhang, L., Lian, X., Yang, X url 
  Title Population density of snow leopards (Panthera Uncia) in the Yage Valley Region of the Sanjiangyuan National Park: Conservation Implications and future directions Type Journal Article
  Year 2020 Publication Artic, Antartic and Alpine Research Abbreviated Journal  
  Volume 52 Issue 1 Pages 541-550  
  Keywords Snow leopard; population density; camera trapping; Tibetan Plateau; alpine ecosystem  
  Abstract Population-based studies on snow leopard (Panthera uncia) are of theoretical and practical sig- nificance for the conservation of alpine ecosystems, though geographic remoteness and isolation hinder surveys in many promising regions. The Sanjiangyuan National Park on the Tibetan Plateau is acknowledged as a main snow leopard habitat, but most of the region remains unexplored and unknown. We adopted a combined approach of route survey and camera trapping survey to explore the population density of snow leopard in the Yage Valley region of the Sanjiangyuan National Park. Results indicated that (1) large populations of blue sheep contributed to the major food supply for snow leopards, along with diverse prey species as dietary supplementations, and (2) a population density of four to six snow leopards per 100 km2 on the north bank was estimated, and nine to fourteen individuals within the valley core areas were identified. We also argue that under the potential impacts of hydropower dams, this valley ecosystem should be symbolized as a conservation hotspot and therefore merits prioritized conservation. We recommend further surveys combined with novel methods/techniques and advocate a sustainable ecotourism model for the first V-shaped valley along the Yangtze mainstream.  
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  Notes (up) Approved no  
  Call Number Serial 1619  
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Author Koju. N. P, , Bashyal, B., Pandey, B. P., Shah, S. N., Thami, S. ,Bleisch, W. V. url 
  Title First camera-trap record of the snow leopard Panthera uncia in Gaurishankar Conservation Area, Nepal Type Journal Article
  Year 2020 Publication Oryx Abbreviated Journal  
  Volume Issue Pages 1-4  
  Keywords Camera trap, corridor, Gaurishankar Conser- vation Area, Nepal, Panthera uncia, prey abundance, transboundary, snow leopard  
  Abstract The snow leopard Panthera uncia is the flagship species of the high mountains of the Himalayas. There is po- tentially continuous habitat for the snow leopard along the northern border of Nepal, but there is a gap in information about the snow leopard in Gaurishankar Conservation Area. Previous spatial analysis has suggested that the Lamabagar area in this Conservation Area could serve as a transbound- ary corridor for snow leopards, and that the area may con- nect local populations, creating a metapopulation. However, there has been no visual confirmation of the species in Lamabagar. We set !! infrared camera traps for " months in Lapchi Village of Gaurishankar Conservation Area, where blue sheep Pseudois nayaur, musk deer Moschus leucogaster and Himalayan tahr Hemitragus jemlahicus, all snow leopard prey species, had been observed. In November #$!% at &,!$$ m, ' km south-west of Lapchi Village, one camera recorded three images of a snow leopard, the first photographic evidence of the species in the Conservation Area. Sixteen other species of mammals were also recorded. Camera-trap records and sightings indicated a high abun- dance of Himalayan tahr, blue sheep and musk deer. Lapchi Village may be a potentially important corridor for snow leopard movement between the east and west of Nepal and northwards to Quomolongma National Park in China. However, plans for development in the region present in- creasing threats to this corridor. We recommend develop- ment of a transboundary conservation strategy for snow leopard conservation in this region, with participation of Nepal, China and international agencies.  
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  Notes (up) Approved no  
  Call Number Serial 1622  
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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 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 &#65533; 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 &#65533; the best for the snow

leopard in Central Asia, and probably in the whole range &#65533; this species was completely destroyed after 3

years of reserve opening... and 17 years later &#65533; 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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  Call Number SLN @ rakhee @ Serial 1454  
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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  
  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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  Call Number SLN @ rakhee @ Serial 1431  
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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 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? &#65533; 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 &#65533; the Irkuyem-bear. Author has given these

animals his life and his article devoted to this topic.		  
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  Call Number SLN @ rakhee @ Serial 1456  
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Author Rovero, F., Augugliaro, C., Havmoller, R. W., Groff, C., Zimmerman, F., Oberosler, V., Tenan, S. url  doi
  Title Co-occurrence of snow leopard Panthera uncia, Siberian ibex Capra sibirica and livestock: potential relationships and effects Type Journal Article
  Year 2018 Publication Oryx Abbreviated Journal  
  Volume Issue Pages 1-7  
  Keywords Altai mountains, camera trapping, human&#65533; wildlife conflict, Mongolia, occupancy, occurrence interactions, Siberian ibex, snow leopard  
  Abstract Understanding the impact of livestock on native

wildlife is of increasing conservation relevance. For the

Vulnerable snow leopard Panthera uncia, wild prey reduction,

intensifying human&#65533;wildlife conflicts and retaliatory

killings are severe threats potentially exacerbated by the

presence of livestock. Elucidating patterns of co-occurrence

of snow leopards, wild ungulate prey, and livestock, can be

used to assess the compatibility of pastoralism with conservation.

We used camera trapping to study the interactions of

livestock, Siberian ibex Capra sibirica and snow leopards in

a national park in the Altai mountains, Mongolia. We obtained

&#63284;&#63289;&#63284; detections of wild mammals and &#63289;&#63281;&#63282; of domestic

ungulates, dogs and humans. Snow leopards and Siberian

ibex were recorded &#63281;&#63284; and &#63283;&#63283; times, respectively. Co-occurrence

modelling showed that livestock had a higher estimated

occupancy (&#63280;.&#63286;&#63285;) than ibex, whose occupancy was

lower in the presence of livestock (&#63280;.&#63281;&#63281;) than in its absence

(&#63280;.&#63283;&#63284;&#65533;&#63280;.&#63283;&#63285; depending on scenarios modelled). Snow leopard

occupancy did not appear to be affected by the presence of

livestock or ibex but the robustness of such inference was

limited by uncertainty around the estimates. Although our

sampling at presumed snow leopard passing sites may have

led to fewer ibex detections, results indicate that livestock

may displace wild ungulates, but may not directly affect

the occurrence of snow leopards. Snow leopards could still

be threatened by livestock, as overstocking can trigger

human&#65533;carnivore conflicts and hamper the conservation

of large carnivores. Further research is needed to assess

the generality and strength of our results.		  
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  Call Number SLN @ rakhee @ Serial 1465  
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Author Lama, R. P., Ghale, T. R., Suwal, M. K., Ranabhat, R., Regmi, G. R. url 
  Title First photographic evidence of Snow Leopard Panthera uncia (Mammalia: Carnivora: Felidae) outside current protected areas network in Nepal Himalaya Type Journal Article
  Year 2018 Publication Journal of Threatened Taxa Abbreviated Journal  
  Volume Issue Pages 12086-12090  
  Keywords Camera-trapping, conservation, Humla, livestock depredation, monasteries, non-timber forest products, retaliatory killing, Tibetan Buddhism.  
  Abstract The Snow Leopard Panthera uncia is a rare top predator of high-altitude ecosystems and insufficiently surveyed outside of protected areas in Nepal. We conducted a rapid camera-trapping survey to assess the presence of Snow Leopard in the Limi valley of Humla District. Three individuals were recorded in two camera locations offering the first photographic evidence of this elusive cat outside the protected area network of Nepal. In addition to Snow Leopard, the Blue Sheep Pseudois nayaur, Beech Marten Martes foina, Pika Ochotona spp. and different species of birds were also detected by camera-traps. More extensive surveys and monitoring are needed for reliably estimating the population size of Snow Leopard in the area. The most urgent needs are community-based conservation activities aimed at mitigating immediate threats of poaching, retaliatory killing, and rapid prey depletion to ensure the survival of this top predator in the Himalaya.  
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  Call Number SLN @ rakhee @ Serial 1470  
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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 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&#65533;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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  Call Number SLN @ rakhee @ Serial 1477  
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Author Augugliaro, C., Paniccia, C., Janchivlamdan, C., Monti, I. E., Boldbaatar, T., Munkhtsog, B. url 
  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 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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  Call Number SLN @ rakhee @ Serial 1486  
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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 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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  Call Number SLN @ rakhee @ Serial 1659  
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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 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 (up) Approved no  
  Call Number SLN @ rakhee @ Serial 1660  
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Author Oberosler, V., Tenan, S., Groff, C., Krofel, M., Augugliaro, C., Munkhtsog, B., Rovero, F. pdf 
  Title First spatially‐explicit density estimate for a snow leopard population in the Altai Mountains Type Journal Article
  Year 2021 Publication Biodiversity and Conservation Abbreviated Journal  
  Volume Issue Pages 15  
  Keywords Camera trapping · Conservation · Abundance · Felids · Activity range · Mongolia · Panthera uncia · Spatial capture-recapture  
  Abstract The snow leopard Panthera uncia is an elusive and globally-threatened apex predator occurring in the mountain ranges of central Asia. As with other large carnivores, gaps in data on its distribution and abundance still persist. Moreover, available density estimates are often based on inadequate sampling designs or analytical approaches. Here, we used camera trapping across a vast mountainous area (area of the sampling frame 850 km2; analysed habitat extent 2600 km2) and spatially-explicit capture-recapture (SECR) models to provide, to our knowledge, the first robust snow leopard population density estimate for the Altai Mountains. This region is considered one of the most important conservation areas for snow leopards, representing a vast portion of suitable habitat and a key ecological corridor. We also provide estimates of the scale parameter (σ) that reflects ranging behaviour (activity range) and baseline encounter probability, and investigated potential drivers of density and related parameters by assessing their associations with anthropogenic and environmental factors. Sampling yielded 9729 images of snow leopards corresponding to 224 independent detections that belonged to a minimum of 23 identified adult individuals. SECR analysis resulted in an overall density of 1.31 individuals/100 km2 (1.15%–1.50 95% CI), which was positively correlated with terrain slope. This estimate falls within the mid-values of the range of density estimates for the species globally. We estimated significantly different activity range size for females and males (79 and 329 km2, respectively). Base- line encounter probability was negatively associated with anthropogenic activity. Our study contributes to on-going efforts to produce robust global estimates of population abundance for this top carnivore.  
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  Notes (up) Approved no  
  Call Number SLN @ rakhee @ Serial 1662  
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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 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 (up) Approved no  
  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 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 (up) 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 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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  Notes (up) Approved no  
  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 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 (up) Approved no  
  Call Number SLN @ rakhee @ Serial 1750  
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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 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 &#63284;&#63288;&#63280; km&#63282; in Gansu Province, China, and used data from &#63286;&#63280; 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 &#63287;&#63286; captures of snow leopards over &#63282;,&#63289;&#63280;&#63286; trap-days, representing a mean capture success of &#63282;.&#63286;&#63282; captures per &#63281;&#63280;&#63280; 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 McCarthy, K.; Fuller, T.; Ming, M.; McCarthy, T.; Waits, L.; Jumabaev, K. url 
  Title Assessing Estimators of Snow Leopard Abundance Type Miscellaneous
  Year 2008 Publication Journal of Widlife Management Abbreviated Journal  
  Volume 72 Issue 8 Pages 1826-1833  
  Keywords abundance; camera,capture-recapture,density,index,predator:prey ratios,techniques,Tien Shan,Uncia; leopard; SaryChat; sign surveys; Slims; snow; snow-leopard; snow leopard; Tomur  
  Abstract The secretive nature of snow leopards (Uncia uncia) makes them difficult to monitor, yet conservation efforts require accurate and precise methods to estimate abundance. We assessed accuracy of Snow Leopard Information Management System (SLIMS) sign surveys by comparing them with 4 methods for estimating snow leopard abundance: predator:prey biomass ratios, capture-recapture density estimation, photo-capture rate, and individual identification through genetic analysis. We recorded snow leopard sign during standardized surveys in the SaryChat Zapovednik, the Jangart hunting reserve, and the Tomur Strictly Protected Area, in the Tien Shan Mountains of Kyrgyzstan and China. During June-December 2005, adjusted sign averaged 46.3 (SaryChat), 94.6 (Jangart), and 150.8 (Tomur) occurrences/km. We used

counts of ibex (Capra ibex) and argali (Ovis ammon) to estimate available prey biomass and subsequent potential snow leopard densities of 8.7 (SaryChat), 1.0 (Jangart), and 1.1 (Tomur) snow leopards/100 km2. Photo capture-recapture density estimates were 0.15 (n = 1 identified individual/1 photo), 0.87 (n = 4/13), and 0.74 (n = 5/6) individuals/100 km2 in SaryChat, Jangart, and Tomur, respectively. Photo-capture rates

(photos/100 trap-nights) were 0.09 (SaryChat), 0.93 (Jangart), and 2.37 (Tomur). Genetic analysis of snow leopard fecal samples provided minimum population sizes of 3 (SaryChat), 5 (Jangart), and 9 (Tomur) snow leopards. These results suggest SLIMS sign surveys may be affected by observer bias and environmental variance. However, when such bias and variation are accounted for, sign surveys indicate relative abundances similar to photo rates and genetic individual identification results. Density or abundance estimates based on capture-recapture or ungulate biomass did not agree with other indices of abundance. Confidence in estimated densities, or even detection of significant changes in abundance of snow leopard, will require more effort and better documentation.		  
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  Call Number SLN @ rana @ 881 Serial 653  
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Author McCarthy, T.; Murray, K.; Sharma, K.; Johansson, O. url 
  Title Preliminary results of a long-term study of snow leopards in South Gobi, Mongolia Type Journal Article
  Year 2010 Publication Cat News Abbreviated Journal  
  Volume Autumn Issue 53 Pages 15-19  
  Keywords snow leopard, Mongolia, monitor, population, Panthera, Snow Leopard Trust, Snow Leopard Conservation Fund, South Gobi, ecology, radio collar, GPS-satellite collar, home range, camera trapping, fecal genetics, occupancy modeling  
  Abstract Snow leopards Panthera uncia are under threat across their range and require urgent conservation actions based on sound science. However, their remote habitat and cryptic nature make them inherently difficult to study and past attempts have provided insufficient information upon which to base effective conservation. Further, there has been no statistically-reliable and cost-effective method available to monitor snow leopard populations, focus conservation effort on key populations, or assess conservation impacts. To address these multiple information needs, Panthera, Snow Leopard Trust, and Snow Leopard Conservation Fund, launched an ambitious long-term study in Mongolia’s South Gobi province in 2008. To date, 10 snow leo-pards have been fitted with GPS-satellite collars to provide information on basic snow leopard ecology. Using 2,443 locations we calculated MCP home ranges of 150 – 938 km2, with substantial overlap between individuals. Exploratory movements outside typical snow leopard habitat have been observed. Trials of camera trapping, fecal genetics, and occupancy modeling, have been completed. Each method ex-hibits promise, and limitations, as potential monitoring tools for this elusive species.  
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  Language English Summary Language Original Title  
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  Area Expedition Conference  
  Notes (up) Approved no  
  Call Number SLN @ rana @ Serial 1151  
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