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Author Sharma, R. K., Singh, R. url 
  Title Over 100 Years of Snow Leopard Research: A Spatially Explicit Review of the State of Knowledge in the Snow Leopard Range. Type Technical Report WWF
  Year 2021 Publication Research Gate Abbreviated Journal  
  Volume May 2021 Issue May 2021 Pages 1-43  
  Keywords  
  Abstract Executive Summary: Evolved to live in some of the world’s highest and harshest habitats, the elusive and rare snow leopards (Panthera uncia) are undisputed icons of High Asia. Across their distributional range in Central and South Asia, the snow leopard’s habitat spans diverse landscapes, with livestock herding being the most dominant form of land use. As a result, areas inhabited by snow leopards and people often overlap, creating challenges as well as opportunities for their conservation. Snow leopard conservation has received increasing attention in the past two decades and global interest in protecting this unique high-mountain cat continues to rise. However, effective and efficient snow leopard conservation initiatives require multi-dimensional research and collaboration among a diverse array of actors. National governments in snow leopard range, for instance, have repeatedly pledged their support for the conservation of the animal and the breathtaking landscapes they inhabit. These landscapes house an array of unique high-altitude wildlife and provide homes and life-sustaining natural resources to hundreds of millions of people. The mountains of High Asia also form the headwaters of 20 major river basins, an important water source for 22 countries (Sindorf et al., 2014). More than 2 billion people live in these basins which overlap the snow leopard range. Given the growing interest in and commitment towards conservation of snow leopards and their habitats, it is crucial to examine the depth and breadth of knowledge currently available to inform conservation efforts and identify gaps in that knowledge. We reviewed over 100 years of published research on snow leopards to examine its temporal and spatial trends across an array of thematic areas. Snow leopard research intensified in the 1970s and studies on snow leopards have continued to increase exponentially since then. However, just four hotspots of snow leopard research (sites with continued multi-year research) have emerged, with less than 23% of the snow leopard range being researched. Nepal, India and China have conducted the most snow leopard research, followed by Mongolia and Pakistan. Our analysis revealed that snow leopard research was highly focussed on ecological research followed by studies on human-wildlife conflict. Most ecological studies focused on estimating the number and distribution of snow leopards and prey species. However, conservationists have surveyed less than 3% of the snow leopard range using rigorous and scientifically acceptable abundance estimation approaches. The lack of attention to the human dimensions of conservation was particularly stark, especially given that the majority of the snow leopard range is inhabited by local communities dependent on livestock herding. More importantly, very few studies evaluated the effectiveness of conservation actions. A lack of evidence demonstrating and quantifying the impacts of conservation interventions is a significant knowledge gap in snow leopard research. In this review, we identify and suggest the high-priority research necessary for effective conservation planning for snow leopards and their multiple-use habitat in High Asia.  
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  Call Number Serial 1636  
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Author Rode, J., Pelletier, A., Fumey, J., Rode, S., Cabanat, A. L., Ouvrard, A., Chaix, B., White, B., Harnden, M., Xuan, N. T., Vereshagin, A., Casane, D. url 
  Title Diachronic monitoring of snow leopards at Sarychat-Ertash State Reserve (Kyrgyzstan) through scat genotyping: a pilot study Type Journal Article
  Year 2020 Publication bioRxiv Abbreviated Journal  
  Volume Issue Pages 1-21  
  Keywords snow leopard, noninvasive genotyping, population dynamics, microsatellite, relatedness, diachronic monitoring, citizen science, Central Asia  
  Abstract Snow leopards (Panthera uncia) are a keystone species of Central Asia’s high mountain ecosystem. The species is listed as vulnerable and is elusive, preventing accurate population assessments that could inform conservation actions. Non-invasive genetic monitoring conducted by citizen scientists offers avenues to provide key data on this species that would otherwise be inaccessible. From 2011 to 2015, OSI-Panthera citizen science expeditions tracked signs of presence of snow leopards along transects in the main valleys and crests of the Sarychat-Ertash State Reserve (Kyrgyzstan). Scat samples were genotyped at seven autosomal microsatellite loci and at a X/Y locus for sex identification, which allowed estimating a minimum of 11 individuals present in the reserve from 2011 to 2015. The genetic recapture of 7 of these individuals enabled diachronic monitoring, providing indications of individuals’ movements throughout the reserve. We found putative family relationships between several individuals. Our results demonstrate the potential of this citizen science program to get a precise description of a snow leopard population through time.  
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  Notes Approved no  
  Call Number Serial 1602  
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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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  Notes Approved no  
  Call Number Serial 1620  
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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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  Area Expedition Conference  
  Notes Approved no  
  Call Number Serial 1626  
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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.  
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  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number Serial 1637  
Permanent link to this record
 

 
Author Shrestha, B., Kindlmann, P. url 
  Title Implications of landscape genetics and connectivity of snow leopard in the Nepalese Himalayas for its conservation. Type Scientific Report
  Year 2020 Publication Nature Research Abbreviated Journal  
  Volume 10 Issue 19853 Pages 1-11  
  Keywords  
  Abstract The snow leopard is one of the most endangered large mammals.

Its population, already low, is declining, most likely due to the

consequences of human activity, including a reduction in the size and

number of suitable habitats. With climate change, habitat loss may

escalate, because of an upward shift in the tree line and concomitant

loss of the alpine zone, where the snow leopard lives. Migration between

suitable areas, therefore, is important because a decline in abundance

in these areas may result in inbreeding, fragmentation of populations,

reduction in genetic variation due to habitat fragmentation, loss of

connectivity, bottlenecks or genetic drift. Here we use our data

collected in Nepal to determine the areas suitable for snow leopards, by

using habitat suitability maps, and describe the genetic structure of

the snow leopard within and between these areas. We also determine the

influence of landscape features on the genetic structure of its

populations and reveal corridors connecting suitable areas. We conclude

that it is necessary to protect these natural corridors to maintain the

possibility of snow leopards' migration between suitable areas, which

will enable gene flow between the diminishing populations and thus

maintain a viable metapopulation of snow leopards.
 
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  Area Expedition Conference  
  Notes Approved no  
  Call Number Serial 1628  
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Author Singh, R., Krausman, P. R., Pandey, P., Maheshwari, A., Rawal, R. S., Sharma, S., Shekhar, S. url 
  Title Predicting Habitat Suitability of Snow Leopards in the Western Himalayan Mountains, India Type Journal Article
  Year 2020 Publication Biology bulletin Abbreviated Journal  
  Volume 47 Issue 6 Pages 655-664  
  Keywords biogeographic distribution, climate, endangered cat, MaxEnt, snow leopard  
  Abstract The population of snow leopard (Panthera uncia) is declining

across their range, due to poaching, habitat fragmentation, retaliatory

killing, and a decrease of wild prey species. Obtaining information on

rare and cryptic predators living in remote and rugged terrain is

important for making conservation and management strategies. We used the

Maximum Entropy (MaxEnt) ecological niche modeling framework to predict

the potential habitat of snow leopards across the western Himalayan

region, India. The model was developed using 34 spatial species

occurrence points in the western Himalaya, and 26 parameters including,

prey species distribution, temperature, precipitation, land use and land

cover (LULC), slope, aspect, terrain ruggedness and altitude. Thirteen

variables contributed 98.6% towards predicting the distribution of snow

leopards. The area under the curve (AUC) score was high (0.994) for the

training data from our model, which indicates pre- dictive ability of

the model. The model predicted that there was 42432 km2 of potential

habitat for snow leop- ards in the western Himalaya region. Protected

status was available for 11247 km2 (26.5%), but the other 31185 km2

(73.5%) of potential habitat did not have any protected status. Thus,

our approach is useful for predicting the distribution and suitable

habitats and can focus field surveys in selected areas to save

resources, increase survey success, and improve conservation efforts for

snow leopards.
 
  Address  
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  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 1629  
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Author Tiwari, M. P., Devkota, B. P., Jackson, R. M., Chhetri, B. B. K., Bagale, S. url 
  Title What Factors Predispose Households in Trans-Himalaya (Central Nepal) to Livestock Predation by Snow Leopards? Type Journal Article
  Year 2020 Publication Animals Abbreviated Journal  
  Volume 10 Issue 2187 Pages 1-14  
  Keywords human-snow leopard conflict; livestock predation; Narphu valley; trans-Himalaya  
  Abstract Livestock depredation across the trans-Himalaya causes

significant economic losses to pastoralist communities. Quantification

of livestock predation and the assessment of variables associated with

depredation are crucial for designing effective long-term mitigation

measures. We investigated the patterns and factors of livestock

depredation by snow leopards (Panthera uncia) using semi-structured

questionnaires targeting herders in the Narphu valley of the Annapurna

Conservation Area, Nepal. During the two years (2017/18 and 2018/19),

73.9% of the households interviewed (n = 65) lost livestock to snow

leopards, with an annual average loss of two livestock per household. Of

the total depredation attributed to snow leopards, 55.4% were yak

(mainly female: 79%), 31.7% goat, 6.8% sheep, 3.2% horse and 2.8%

cattle. Results from applying Generalized Linear Mixed Models (GLMMs)

revealed the total number of livestock owned and the number of larger

bodied livestock species as the main explanatory covariates explaining

livestock depredation. Forty-one (41%) of all herders considered snow

leopard’s preference for domestic livestock as the main factor in

livestock predation, whereas only 5% perceived poor herding practice as

the main reason for the loss. Our study found poor and changing herding

practices in the valley, whereby 71% herders reported careful herding as

a solution to snow leopard depredation, and 15% of herders considered

the complete extermination of snow leopards as the best solution to the

problem. Tolerance levels and awareness among herders towards snow

leopard conservation is increasing, mainly due to the Buddhist religion

and strict law enforcement within this protected area. We recommend the

effective implementation of a community-based livestock insurance scheme

to compensate the economic loss of herders due to predation and improved

herding practices as the recommended mitigation measures for ensuring

livestock security and snow leopards’ conservation in the valley.
 
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  Area Expedition Conference  
  Notes Approved no  
  Call Number Serial 1624  
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Author Vannelli, K., Hampton, M. P., Namgail, T., Black, S. A. url 
  Title Community participation in ecotourism and its effect on local perceptions of snow leopard (Panthera uncia) conservation Type Journal Article
  Year 2019 Publication Human Dimensions of Wildlife Abbreviated Journal  
  Volume Issue Pages 1-14  
  Keywords Instrumental value; snow leopard; perceptions; ecotourism; human–wildlife conflict  
  Abstract Local support and involvement is often essential for effective

wildlife conservation. This study assessed the impact of local

involvement in ecotourism schemes on perceptions of wildlife, promotion

of conservation action, types of values that communities placed on

wildlife, and contexts in which wildlife are considered to be most

valuable. The study used qualitative semi-structured interviews

conducted in seven villages in Ladakh, India, which is an important

region of snow leopard (Panthera uncia) habitat. Results indicated that

in these communities, ecotourism-based interventions encourage more

positive perceptions of wildlife species, in particular the snow

leopard. Achieving change in community perceptions of wildlife is key

when implementing ecotourism schemes to enable more effective

conservation, as well as generating local awareness and value for

wildlife toward problematic keystone species such as the snow leopard,

which are frequently the focus of human-wildlife conflict.
 
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  Series Editor Series Title Abbreviated Series Title  
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  Area Expedition Conference  
  Notes Approved no  
  Call Number Serial 1607  
Permanent link to this record
 

 
Author Watts, S. W., McCarthy, T. M., Namgail, T. url 
  Title Modelling potential habitat for snow leopards (Panthera uncia) in Ladakh, India Type Research Article
  Year 2019 Publication Plos One Abbreviated Journal  
  Volume Issue Pages 1-14  
  Keywords  
  Abstract The snow leopard Panthera uncia is an elusive species

inhabiting some of the most remote and inaccessible tracts of Central

and South Asia. It is difficult to determine its distribution and

density pattern, which are crucial for developing conservation

strategies. Several techniques for species detection combining camera

traps with remote sensing and geographic information systems have been

developed to model the habitat of such cryptic and low-density species

in challenging terrains. Utilising presence-only data from camera traps

and direct observations, alongside six environmental variables

(elevation, aspect, ruggedness, distance to water, land cover, and prey

habitat suitability), we assessed snow leopard habitat suitability

across Ladakh in northern India. This is the first study to model snow

leopard distribution both in India and utilising direct observation

data. Results suggested that elevation and ruggedness are the two most

influential environmental variables for snow leopard habitat

suitability, with highly suitable habitat having an elevation range of

2,800 m to 4,600 m and ruggedness of 450 m to 1,800 m. Our habitat

suitability map estimated approximately 12% of Ladakh’s geographical

area (c. 90,000 km2) as highly suitable and 18% as medium suitability.

We found that 62.5% of recorded livestock depredation along with over

half of all livestock corrals (54%) and homestays (58%) occurred within

highly suitable snow leopard habitat. Our habitat suitability model can

be used to assist in allocation of conservation resources by targeting

construction of livestock corrals to areas of high habitat suitability

and promoting ecotourism programs in villages in highly suitable snow

leopard habitat.
 
  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 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number Serial 1608  
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