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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 (down) 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 Chetri, M, Odden, M., Sharma, K., Flagstad, O., Wegge, P url 
  Title Estimating snow leopard density using fecal DNA in a large landscape in north-central Nepal Type Journal Article
  Year 2019 Publication Global Ecology and Conservation Abbreviated Journal  
  Volume Issue 17 Pages (down) 1-8  
  Keywords Panthera uncia, Density, Annapurna-Manaslu landscape, Noninvasive, Spatial scale  
  Abstract Although abundance estimates have a strong bearing on the conservation status of a

species, less than 2% of the global snow leopard distribution range has been sampled

systematically, mostly in small survey areas. In order to estimate snow leopard density

across a large landscape, we collected 347 putative snow leopard scats from 246 transects

(490 km) in twenty-six 5  5km sized sampling grid cells within 4393 km2 in Annapurna-

Manaslu, Nepal. From 182 confirmed snow leopard scats, 81 were identified as belonging

to 34 individuals; the remaining were discarded for their low (<0.625) quality index. Using

maximum likelihood based spatial capture recapture analysis, we developed candidate

model sets to test effects of various covariates on density and detection of scats on transects.

The best models described the variation in density as a quadratic function of

elevation and detection as a linear function of topography. The average density estimate of

snow leopards for the area of interest within Nepal was 0.95 (SE 0.19) animals per 100 km2

(0.66e1.41 95% CL) with predicted densities varying between 0.1 and 1.9 in different parts,

thus highlighting the heterogeneity in densities as a function of habitat types. Our density

estimate was low compared to previous estimates from smaller study areas. Probably,

estimates from some of these areas were inflated due to locally high abundances in overlap

zones (hotspots) of neighboring individuals, whose territories probably range far beyond

study area borders. Our results highlight the need for a large-scale approach in snow

leopard monitoring, and we recommend that methodological problems related to spatial

scale are taken into account in future snow leopard research.		  
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  Notes Approved no  
  Call Number SLN @ rakhee @ Serial 1478  
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Author Li, J., Weckworth, B. V., McCarthy, T. M., Liang, X., Liu, Y., Xing, R., Li, D., Zhang, Y., Xue, Y., Jackson, R., Xiao, L., Cheng, C., Li, S., Xu, F., Ma, M., Yang, X., Diao, K., Gao, Y., Song, D., Nowell, K., He, B., Li, Y., McCarthy, K., Paltsyn, M. Y., Sharma, K., Mishra, C., Schaller, G. B., Lu, Z., Beissinger, S. R. url 
  Title Defining priorities for global snow leopard conservation landscapes Type Journal Article
  Year 2019 Publication Biological Conservation Abbreviated Journal  
  Volume 241 Issue 108387 Pages (down) 1-10  
  Keywords Panthera uncia, Conservation prioritization, Landscape Conservation Unit, Connectivity, Linkage  
  Abstract The snow leopard (Panthera uncia) is an apex predator on the Tibetan Plateau and in the surrounding mountain ranges. It is listed as Vulnerable in the IUCN's Red List. The large home range and low population densities of this species mandate range-wide conservation prioritization. Two efforts for range-wide snow leopard conservation planning have been conducted based on expert opinion, but both were constrained by limited knowledge and the difficulty of evaluating complex processes, such as connectivity across large landscapes. Here, we compile > 6000 snow leopard occurrence records from across its range and corresponding environmental covariates to build a model of global snow leopard habitat suitability. Using spatial prioritization tools, we identi!ed seven large continuous habitat patches as global snow leopard Landscape Conservation Units (LCUs). Each LCU faces differing threat levels from poaching, anthropogenic development, and climate change. We identi!ed ten po- tential inter-LCU linkages, and centrality analysis indicated that Tianshan-Pamir-Hindu Kush-Karakorum, Altai, and the linkage between them play a critical role in maintaining the global snow leopard habitat connectivity.  
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  Call Number SLN @ rakhee @ Serial 1490  
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Author Aruge, S., Batool, H., Khan, F. M., Abbas, F. I., Janjua, S url 
  Title A pilot study&#65533;genetic diversity and population structure of snow leopards of Gilgit-Baltistan, Pakistan, using molecular techniques. Type Journal Article
  Year 2019 Publication PeerJ Abbreviated Journal  
  Volume Issue 7672 Pages (down) 1-14  
  Keywords Population, Genetics, Panthera uncia, Pakistan, Molecular markers  
  Abstract Background: The Hindu Kush and Karakoram mountain ranges in Pakistan&#65533;s northern areas are a natural habitat of the snow leopard (Panthera uncia syn. Uncia uncia) but the ecological studies on this animal are scarce since it is human shy by nature and lives in dif!cult mountainous tracts. The pilot study is conducted to exploit the genetic diversity and population structure of the snow leopard in this selected natural habitat of the member of the wildcat family in Pakistan.

Method: About 50 putative scat samples of snow leopard from !ve localities of Gilgit-Baltistan (Pakistan) along with a control sample of zoo maintained male snow leopard were collected for comparison. Signi!cant quality and quantity of genomic DNA was extracted from scat samples using combined Zhang&#65533;phenol&#65533;chloroform method and successful ampli!cation of cytochrome c oxidase I gene (190 bp) using mini-barcode primers, seven simple sequence repeats (SSR) markers and Y-linked AMELY gene (200 bp) was done.

Results: Cytochrome c oxidase I gene sequencing suggested that 33/50 (66%) scat samples were of snow leopard. AMELY primer suggested that out of 33 ampli!ed samples, 21 (63.63%) scats were from male and 12 (36.36%) from female leopards. Through successful ampli!cation of DNA of 25 out of 33 (75.75%) scat samples using SSR markers, a total of 68 alleles on seven SSR loci were identi!ed, showing low heterozygosity, while high gene "ow between population.

Discussion: The low gene flow rate among the population results in low genetic diversity causing decreased diversi!cation. This affects the adaptability to climatic changes, thus ultimately resulting in decreased population size of the species.		  
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  Call Number SLN @ rakhee @ Serial 1491  
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Author Samelius, G., Suryawanshi, K., Frank, J., Agvaantseren, B., Baasandamba, E., Mijiddorj, T., Johansson, O., Tumursukh, L., Mishra, C. url 
  Title Keeping predators out: testing fences to reduce livestock depredation at night-time corrals Type Journal Article
  Year 2020 Publication Oryx Abbreviated Journal  
  Volume Issue Pages (down) 1-7  
  Keywords Canis lupus, carnivore conservation, coexistence, conflict mitigation, conservation conflict, livestock depreda- tion, Panthera uncia, preventative measure  
  Abstract Livestock depredation by large carnivores is a global conservation challenge, and mitigation measures to reduce livestock losses are crucial for the coexistence of large carnivores and people. Various measures are employed to reduce livestock depredation but their effectiveness has rarely been tested. In this study, we tested the effectiveness of tall fences to reduce livestock losses to snow leopards Panthera uncia and wolves Canis lupus at night-time corrals at the winter camps of livestock herders in the Tost Mountains in southern Mongolia. Self-reported livestock losses at the fenced corrals were reduced from a mean loss of 3.9 goats and sheep per family and winter prior to the study to zero losses in the two winters of the study. In contrast, self-reported livestock losses in winter pastures, and during the rest of the year, when herders used different camps, remained high, which indicates that livestock losses were reduced because of the fences, not because of temporal variation in predation pressure. Herder attitudes towards snow leopards were positive and remained positive during the study, whereas attitudes towards wolves, which attacked livestock also in summer when herders moved out on the steppes, were negative and worsened during the study. This study showed that tall fences can be very effective at reducing night-time losses at corrals and we conclude that fences can be an important tool for snow leopard conservation and for facilitating the coexistence of snow leopards and people.  
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  Call Number SLN @ rakhee @ Serial 1492  
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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 (down) 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 Approved no  
  Call Number Serial 1622  
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Author Atzeni, L., Cushman, S. A., Bai, D., Wang, J., Chen, P., Shi, K., Riordan, P. url 
  Title Meta-replication, sampling bias, and multi-scale model selection: A case study on snow leopard (Panthera uncia) in western China. Type Journal Article
  Year 2020 Publication Ecology and Evolution Abbreviated Journal  
  Volume Issue Pages (down) 1-27  
  Keywords MaxEnt, meta-replication, multi-scale, Panthera uncia, sampling bias, scale selection, snow leopard, species distribution model  
  Abstract Replicated multiple scale species distribution models (SDMs)

have become increasingly important to identify the correct variables

determining species distribution and their influences on ecological

responses. This study explores multi-scale habitat relationships of the

snow leopard (Panthera uncia) in two study areas on the Qinghai–Tibetan

Plateau of western China. Our primary objectives were to evaluate the

degree to which snow leopard habitat relationships, expressed by

predictors, scales of response, and magnitude of effects, were

consistent across study areas or locally landcape-specific. We coupled

univariate scale optimization and the maximum entropy algorithm to

produce multivariate SDMs, inferring the relative suitability for the

species by ensembling top performing models. We optimized the SDMs based

on average omission rate across the top models and ensembles’ overlap

with a simulated reference model. Comparison of SDMs in the two study

areas highlighted landscape-specific responses to limiting factors.

These were dependent on the effects of the hydrological network,

anthropogenic features, topographic complexity, and the heterogeneity of

the landcover patch mosaic. Overall, even accounting for specific local

differences, we found general landscape attributes associated with snow

leopard ecological requirements, consisting of a positive association

with uplands and ridges, aggregated low-contrast landscapes, and large

extents of grassy and herbaceous vegetation. As a means to evaluate the

performance of two bias correction methods, we explored their effects on

three datasets showing a range of bias intensities. The performance of

corrections depends on the bias intensity; however, density kernels

offered a reliable correction strategy under all circumstances. This

study reveals the multi-scale response of snow leopards to environmental

attributes and confirms the role of meta-replicated study designs for

the identification of spatially varying limiting factors. Furthermore,

this study makes important contributions to the ongoing discussion about

the best approaches for sampling bias correction.		  
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  Notes Approved no  
  Call Number Serial 1616  
Permanent link to this record
 
 
Author Chetri, M., Odden, M., Devineau, O., McCarthy, T., Wegge, P. url 
  Title Multiple factors influence local perceptions of snow leopards and Himalayan wolves in the central Himalayas, Nepal. Type Journal Article
  Year 2020 Publication PeerJ Abbreviated Journal  
  Volume Issue Pages (down) 1-18  
  Keywords Panthera uncia, Canis lupus chanco, Perceptions, Large carnivores, Trans-Himalayas  
  Abstract An understanding of local perceptions of carnivores is

important for conservation and management planning. In the central

Himalayas, Nepal, we interviewed 428 individuals from 85 settlements

using a semi-structured questionnaire to quantitatively assess local

perceptions and tolerance of snow leopards and wolves. We used

generalized linear mixed effect models to assess influential factors,

and found that tolerance of snow leopards was much higher than of

wolves. Interestingly, having experienced livestock losses had a minor

impact on perceptions of the carnivores. Occupation of the respondents

had a strong effect on perceptions of snow leopards but not of wolves.

Literacy and age had weak impacts on snow leopard perceptions, but the

interaction among these terms showed a marked effect, that is, being

illiterate had a more marked negative impact among older respondents.

Among the various factors affecting perceptions of wolves, numbers of

livestock owned and gender were the most important predictors. People

with larger livestock herds were more negative towards wolves. In terms

of gender, males were more positive to wolves than females, but no such

pattern was observed for snow leopards. People’s negative perceptions

towards wolves were also related to the remoteness of the villages.

Factors affecting people’s perceptions could not be generalized for the

two species, and thus need to be addressed separately. We suggest future

conservation projects and programs should prioritize remote settlements.		  
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  Notes Approved no  
  Call Number Serial 1615  
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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 (down) 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 Rashid, W., Shi, J., Rahim, I. U., Qasim, M., Baloch, M. N., Bohnett, E., Yang, F., Khan, I., Ahmad, B. pdf 
  Title Modelling Potential Distribution of Snow Leopards in Pamir, Northern Pakistan: Implications for Human–Snow Leopard Conflicts Type Journal Article
  Year 2021 Publication Sustainability Abbreviated Journal  
  Volume 13 Issue 13229 Pages (down) 1-15  
  Keywords habitat fragmentation; habitat suitability; land use/cover change; Panthera uncia; MaxEnt model  
  Abstract The snow leopard (Panthera uncia) is a cryptic and rare big cat inhabiting Asia’s remote and harsh elevated areas. Its population has decreased across the globe for various reasons, includ  
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  Notes Approved no  
  Call Number SLN @ rakhee @ Serial 1664  
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