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Author Sharma, R. K., Sharma, K., Borchers, D., Bhatnagar, Y. V., Suryawanshi, K. S., Mishra, C. url 
  Title Spatial variation in population-density, movement and detectability of snow leopards in 2 a multiple use landscape in Spiti Valley, Trans-Himalaya Type Journal Article
  Year 2020 Publication bioRxiv Abbreviated Journal  
  Volume Issue Pages  
  Keywords Co-existence; land sharing; population-density; spatial capture recapture; Pseudois nayaur Capra sibirica; ungulates; livestock.  
  Abstract The endangered snow leopard Panthera uncia occurs in human use landscapes in the mountains of South and Central Asia. Conservationists generally agree that snow leopards must be conserved through a land-sharing approach, rather than land-sparing in the form of strictly protected areas. Effective conservation through land-sharing requires a good understanding of how snow leopards respond to human use of the landscape. Snow leopard density is expected to show spatial variation within a landscape because of variation in the intensity of human use and the quality of habitat. However, snow leopards have been difficult to enumerate and monitor. Variation in the density of snow leopards remains undocumented, and the impact of human use on their populations is poorly understood. We examined spatial variation in snow leopard density in Spiti Valley, an important snow leopard landscape in India, via spatially explicit capture recapture analysis of camera trap data. We camera trapped an area encompassing a minimum convex polygon of 953 km . We estimated an overall density of 0.49 (95% CI: 0.39-0.73) adult snow leopards per 100 km . Using AIC, our best model showed the density of snow leopards to depend on wild prey density, movement about activity centres to depend on altitude, and the expected number of encounters at the activity centre to depend on topography. Models that also used livestock biomass as a density covariate ranked second, but the effect of livestock was weak. Our results highlight the importance of maintaining high density pockets of wild prey populations in multiple use landscapes to enhance snow leopard conservation.  
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  Area Expedition Conference  
  Notes Approved no  
  Call Number Serial 1620  
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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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  Series Editor Series Title Abbreviated Series Title  
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  Area Expedition Conference  
  Notes Approved no  
  Call Number Serial 1619  
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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.
 
  Address  
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  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
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  Area Expedition Conference  
  Notes Approved no  
  Call Number Serial 1618  
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Author Hameed, S., Din, J. U., Ali, H., Kabir, M., Younas, M., Rehman, E. U., Bari, F., Hao, W., Bischof, R., Nawaz, M. A. url 
  Title Identifying priority landscapes for conservation of snow leopards in Pakistan Type Journal Article
  Year 2020 Publication Plos One Abbreviated Journal  
  Volume Issue Pages 1-20  
  Keywords  
  Abstract Pakistan’s total estimated snow leopard habitat is about

80,000 km2 of which about half is considered prime habitat. However,

this preliminary demarcation was not always in close agreement with the

actual distribution the discrepancy may be huge at the local and

regional level. Recent technological developments like camera trapping

and molecular genetics allow for collecting reliable presence records

that could be used to construct realistic species distribution based on

empirical data and advanced mathematical approaches like MaxEnt. The

current study followed this approach to construct an accurate

distribution of the species in Pakistan. Moreover, movement corridors,

among different landscapes, were also identified through circuit theory.

The probability of habitat suitability, generated from 98 presence

points and 11 environmental variables, scored the snow leopard’s assumed

range in Pakistan, from 0 to 0.97. A large portion of the known range

represented low-quality habitat, including areas in lower Chitral, Swat,

Astore, and Kashmir. Conversely, Khunjerab, Misgar, Chapursan, Qurumber,

Broghil, and Central Karakoram represented high-quality habitats.

Variables with higher contributions in the MaxEnt model were

precipitation during the driest month (34%), annual mean temperature

(19.5%), mean diurnal range of temperature (9.8%), annual precipitation

(9.4%), and river density (9.2). The model was validated through

receiver operating characteristic (ROC) plots and defined thresholds.

The average test AUC in Maxent for the replicate runs was 0.933 while

the value of AUC by ROC curve calculated at 0.15 threshold was 1.00.

These validation tests suggested a good model fit and strong predictive

power. The connectivity analysis revealed that the population in the

Hindukush landscape appears to be more connected with the population in

Afghani- stan as compared to other populations in Pakistan. Similarly,

the Pamir-Karakoram population is better connected with China and

Tajikistan, while the Himalayan population was connected with the

population in India. Based on our findings we propose three model

landscapes to be considered under the Global Snow Leopard Ecosystem

Protection Program (GSLEP) agenda as regional priority areas, to

safeguard the future of the snow leopard in Pakistan and the region.

These landscapes fall within mountain ranges of the Himalaya, Hindu Kush

and Karakoram-Pamir, respectively. We also identified gaps in the

existing protected areas network and suggest new protected areas in

Chitral and Gilgit-Baltistan to protect critical habitats of snow

leopard in Pakistan.
 
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  Series Editor Series Title Abbreviated Series Title  
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  Area Expedition Conference  
  Notes Approved no  
  Call Number Serial 1617  
Permanent link to this record
 

 
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 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.
 
  Address  
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  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
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  Area Expedition Conference  
  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 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.
 
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN (up) ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number Serial 1615  
Permanent link to this record
 

 
Author Sharma, R. K., Sharma, K., Borchers, D., Bhatnagar, Y V., Suryawanshi, K. R., Mishra, C. url 
  Title Spatial variation in population-density of snow leopards in a multiple use landscape in Spiti Valley, Trans-Himalaya Type Research Article
  Year 2021 Publication PloS One Abbreviated Journal  
  Volume Issue Pages 1-14  
  Keywords  
  Abstract The endangered snow leopard Panthera uncia occurs in human use landscapes in the mountains of South and Central Asia. Conservationists generally agree that snow leopards must be conserved through a land-sharing approach, rather than land-sparing in the form of strictly protected areas. Effective conservation through land-sharing requires a good understanding of how snow leopards respond to human use of the landscape. Snow leopard density is expected to show spatial variation within a landscape because of variation in the intensity of human use and the quality of habitat. However, snow leopards have been difficult to enumerate and monitor. Variation in the density of snow leopards remains undocumented, and the impact of human use on their populations is poorly understood. We examined spatial variation in snow leopard density in Spiti Valley, an important snow leopard landscape in India, via spatially explicit capture-recapture analysis of camera trap data. We camera trapped an area encompassing a minimum convex polygon of 953 km2. Our best model estimated an overall density of 0.5 (95% CI: 0.31–0.82) mature snow leopards per 100 km2. Using AIC, our best model showed the density of snow leopards to depend on estimated wild prey density, movement about activity centres to depend on altitude, and the expected number of encounters at the activity centre to depend on topography. Models that also used livestock biomass as a density covariate ranked second, but the effect of livestock was weak. Our results highlight the importance of maintaining high density pockets of wild prey populations in multiple-use landscapes to enhance snow leopard conservation.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN (up) ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number Serial 1637  
Permanent link to this record
 

 
Author Lewis, M., Songster, E.E. url 
  Title Studying the snow leopard: reconceptualizing conservation across the China–India border Type Journal Article
  Year 2016 Publication British Journal for the History of Science Abbreviated Journal BJHS  
  Volume Themes 1 Issue 1 Pages 169-198  
  Keywords  
  Abstract The snow leopard is a highly charismatic megafauna that elicits admiration, concern and donations from individuals and NGOs in the West. In its home territories, however, it is a threat to local communities’ livestock and a potential source of income for its pelt and parts. Conservation and study are further challenged by its range; snow leopards traverse the borders separating China, India and ten other countries with long histories of tension with each other as well as internal political and economic struggles. This transnational animal provides an ideal case study for the consideration of transnational conservation science in the recent past.  
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  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN (up) ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number Serial 1638  
Permanent link to this record
 

 
Author Weckworth, B. url 
  Title Snow Leopard (Panthera uncia) Genetics: The Knowledge Gaps, Needs, and Implications for Conservation Type Journal Article
  Year 2021 Publication Journal of the Indian Institute of Science Abbreviated Journal  
  Volume Issue Pages 1-12  
  Keywords  
  Abstract Conservation geneticists apply genetic theory and techniques to preserve endangered species as dynamic entities, capable of coping with environmental change and thus minimizing their risk of extinction. Snow leopards are an umbrella species of High Asia, and a keystone for maintaining biodiversity within this fragile ecosystem. A clear understanding of patterns of snow leopard genetic diversity is critical for guiding conservation initiatives that will ensure their long-term persistence. Yet, a comprehensive analysis of snow leopard genetic variation is lacking. The number of published snow leopard genetic studies is far fewer than for other imperiled big cats. Here, I review the limited genetic work to date on snow leopards and the significant knowledge gaps to be filled. An emphasis must be placed on describing and understanding population genetic dynamics within and among meta-populations to provide information about the interactions between landscapes and the micro-evolutionary processes of gene flow and genetic drift. These results can be used to evaluate the levels and dynamics of genetic and demographic connectivity. A lack of connectivity, particularly in the low density, small populations that typify snow leopards, can lead to multiple demographic and genetic consequences, including inbreeding depression, loss of adaptive potential, and heightened susceptibility to demographic and environmental stochasticity. New efforts in conservation research on snow leopards should focus on this line of inquiry, and the opportunities and challenges for that are outlined and discussed to encourage the required, and considerable, transboundary partnerships and collaborations needed to be successful.  
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  Series Editor Series Title Abbreviated Series Title  
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  Area Expedition Conference  
  Notes Approved no  
  Call Number Serial 1639  
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Author Karki, A., Panthi, S. url 
  Title Factors affecting livestock depredation by snow leopards (Panthera uncia) in the Himalayan region of Nepal Type Journal Article
  Year 2021 Publication PeerJ Abbreviated Journal  
  Volume 9 Issue e11575 Pages 1-14  
  Keywords Conflict,Habitat,Himalaya,Livestockdepredation,Modeling,Snowleopard,Wildlife management  
  Abstract The snow leopard (Panthera uncia) found in central Asia is classified as vulnerable species by the International Union for Conservation of Nature (IUCN). Every year, large number of livestock are killed by snow leopards in Nepal, leading to economic loss to local communities and making human-snow leopard conflict a major threat to snow leopard conservation. We conducted formal and informal stakeholder’s interviews to gather information related to livestock depredation with the aim to map the attack sites by the snow leopard. These sites were further validated by district forest office staffs to assess sources of bias. Attack sites older than 3 years were removed from the survey. We found 109 attack sites and visited all the sites for geo location purpose (GPS points of all unique sites were taken). We maintained at least a 100 m distance between attack locations to ensure that each attack location was unique, which resulted in 86 unique locations. A total of 235 km2 was used to define livestock depredation risk zone during this study. Using Maximum Entropy (MaxEnt) modeling, we found that distance to livestock sheds, distance to paths, aspect, and distance to roads were major contributing factors to the snow leopard’s attacks. We identified 13.64 km2 as risk zone for livestock depredation from snow leopards in the study area. Furthermore, snow leopards preferred to attack livestock near livestock shelters, far from human paths and at moderate distance from motor roads. These identified attack zones should be managed both for snow leopard conservation and livestock protection in order to balance human livelihoods while protecting snow leopards and their habitats.  
  Address  
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  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN (up) ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number Serial 1640  
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