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Title |
Snow Leopard Survival Summit Group Photograph |
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Unsupported: Slide |
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2002 |
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snow; snow leopard; snow-leopard; Snow-Leopard-Survival-Summit; leopard; survival; seattle |
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Photograph of participants in 21-25 May 2002 Snow Leopard Survival Summit, Seattle, Washington, USA. |
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Call Number |
SLN @ rana @ 1080 |
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20 |
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Author |
Gripenberg, U. |
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Title |
Comparison of chromosome banding patterns in the snow leopard (Panthera uncial) and in other felids |
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Unsupported: Serial (Book, Monograph) |
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Year |
1982 |
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Abbreviated Journal |
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135-138 |
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Keywords |
Banding; Chromosome; felids; International; patterns; pedigree; snow leopard |
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International Pedigree Book of Snow Leopards |
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3 |
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no |
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SLN @ rana @ 966 |
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353 |
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Author |
Wharton, D.; Mainka, S.A. |
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Title |
Snow leopards, livestock management |
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Unsupported: Pamphlet |
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Year |
1986 |
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Keywords |
snow; snow leopards; snow leopard; snow-leopards; snow-leopard; leopards; leopard; livestock; management; Chinese; global |
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Xinjiang Conservation Fund & International Snow Leopard Trust |
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China |
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Notes |
In Chinese. Supported by the Global Greengrant Fund, www.greengrants.org. |
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Call Number |
SLN @ rana @ 1082 |
Serial |
1015 |
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Author |
Gajurel, D. |
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Title |
Snow Leopards Found in Nepal's Langtang National Park |
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Unsupported: Electronic Citation |
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Year |
2006 |
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Environment News Service |
Abbreviated Journal |
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Keywords |
Langtang; leopard; leopards; national; National-park; national park; Nepal; park; snow; snow-leopard; snow-leopards; snow leopard; snow leopards; International |
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Environment News Service |
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Editor-in-Chief Sunny Lewis and Managing Editor Jim Crabtree |
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http://www.ens-newswire.com/ens/mar2006/2006-03-24-04.asp
International daily newswire |
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Call Number |
SLN @ rana @ 1059 |
Serial |
329 |
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Author |
Anonymous |
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Title |
Snow leopard trade in court |
Type |
Unsupported: Case |
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Year |
1984 |
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Keywords |
snow; snow leopard; snow-leopard; leopard; trade; India; people; coat |
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Press note on court findings in India, convicting people in posession of a snow leopard coat. |
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no |
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Call Number |
SLN @ rana @ 943 |
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78 |
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Author |
Sharma, R. K., Singh, R. |
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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 |
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Year |
2021 |
Publication |
Research Gate |
Abbreviated Journal |
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Volume |
May 2021 |
Issue |
May 2021 |
Pages |
1-43 |
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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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Serial |
1636 |
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Author |
Pal, R., Bhattacharya, T., Sathyakumar, S. |
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Title |
Woolly flying squirrel Eupetaurus Cinereus: A new addition to the diet of snow leopard Panthera Uncia |
Type |
Short Note |
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Year |
2020 |
Publication |
Journal Bombay Natural History Society |
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Volume |
117 |
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1606 |
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Author |
Shrestha, B., Kindlmann, P. |
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Title |
Implications of landscape genetics and connectivity of snow
leopard in the Nepalese Himalayas for its conservation. |
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Scientific Report |
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2020 |
Publication |
Nature Research |
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10 |
Issue |
19853 |
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1-11 |
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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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no |
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1628 |
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Author |
Watts, S. W., McCarthy, T. M., Namgail, T. |
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Title |
Modelling potential habitat for snow leopards (Panthera uncia) in
Ladakh, India |
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Research Article |
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Year |
2019 |
Publication |
Plos One |
Abbreviated Journal |
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1-14 |
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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. |
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1608 |
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Author |
Durbach, I., Borchers, D., Sutherland, C., Sharma, K. |
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Title |
Fast, flexible alternatives to regular grid designs for spatial
capture–recapture. |
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Research Article |
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2020 |
Publication |
Methods in Ecology and Evolution |
Abbreviated Journal |
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1-13 |
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camera trap, population ecology,sampling, spatial capture-recapture, surveys |
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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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1618 |
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