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Author Ale, S., Shrestha, B., and Jackson, R.
Title On the status of Snow Leopard Panthera Uncia (Schreber 1775) in Annapurna, Nepal Type Journal Article
Year 2014 Publication (up) 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.
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Call Number SLN @ rakhee @ Serial 1407
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Author Lama, R. P., Ghale, T. R., Suwal, M. K., Ranabhat, R., Regmi, G. R.
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 (up) 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 Durbach, I., Borchers, D., Sutherland, C., Sharma, K.
Title Fast, flexible alternatives to regular grid designs for spatial capture–recapture. Type Research Article
Year 2020 Publication (up) 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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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.
Title Status and conservation of the snow leopard Panthera uncia in the Gouli Region, Kunlun Mountains, China Type Miscellaneous
Year 2008 Publication (up) 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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Call Number SLN @ rana @ 900 Serial 1032
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Author Sanyal, O., Bashir, T., Rana, M., Chandan, P.
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 (up) 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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Call Number SLN @ rakhee @ Serial 1750
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Author Zhang, C., Ma, T., Ma, D.
Title Status of the snow leopard Panthera uncia in the Qilian Mountains, Gansu Province, China Type Journal Article
Year 2023 Publication (up) 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 Alexander, J. S., Shi, K., Tallents, L. A., Riordan, P.
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 (up) 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 Koju. N. P, , Bashyal, B., Pandey, B. P., Shah, S. N., Thami, S. ,Bleisch, W. V.
Title First camera-trap record of the snow leopard Panthera uncia in Gaurishankar Conservation Area, Nepal Type Journal Article
Year 2020 Publication (up) 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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Call Number Serial 1622
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Author Rovero, F., Augugliaro, C., Havmoller, R. W., Groff, C., Zimmerman, F., Oberosler, V., Tenan, S.
Title Co-occurrence of snow leopard Panthera uncia, Siberian ibex Capra sibirica and livestock: potential relationships and effects Type Journal Article
Year 2018 Publication (up) 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 Alexander, J. S., Gopalswamy, A. M., Shi, K., Riordan, P.
Title Face Value: Towards Robust Estimates of Snow Leopard Densities Type Journal Article
Year 2015 Publication (up) 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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