Abstract: Snow leopards (Uncia uncia) are highly cryptic and occupy remote inaccessible habitat, making studying the cats difficult in the extreme. Yet sound knowledge of the cat's ecology, behavior and habitat needs is required to intelligently conserve them. This information is lacking for snow leopards, and until recently so was the means to fill that knowledge gap. Two long-term studies of snow leopards using VHF radio collars have been undertaken in Nepal (1980s) and Mongolia (1990s) but logistical and technological constraints made the findings of both studies equivocal. Technological advances in the interim, such as GPS collars which report data via satellite, make studies of snow leopards more promising, at least in theory.

Abstract: Snow leopard (Uncia uncial) is a flagship species of the Himalaya. Very few studies have been done on the ecology of this species in the Himalaya. This paper presents an overview of four studies conducted on snow leopards in Nepal and India, dealing with various aspects of snow leopard ecology including their status assessment, making behaviour, habitat selection, food habits, and impact on livestock. The information generated by these studies is useful in planning effective conservation and management strategies for this endangered top predator of high mountains.

Abstract: The snow leopard (Panthera uncia) inhabits a human-altered alpine landscape and is often tolerated by residents in regions where the dominant religion is Tibetan Buddhism, including in Qomolangma NNR on the northern side of the Chinese Himalayas. Despite these positive attitudes, many decades of rapid economic development and population growth can cause increasing disturbance to the snow leopards, altering their habitat use patterns and ultimately impacting their conservation. We adopted a dynamic landscape ecology perspective and used multi-scale technique and occupancy model to better understand snow leopard habitat use and coexistence with humans in an 825 km2 communal landscape. We ranked eight hypothetical models containing potential natural and anthropogenic drivers of habitat use and compared them between summer and winter seasons within a year. HABITAT was the optimal model in winter, whereas ANTHROPOGENIC INFLUENCE was the top ranking in summer (AICcw≤2). Overall, model performance was better in the winter than in the summer, suggesting that perhaps some latent summer covariates were not measured. Among the individual variables, terrain ruggedness strongly affected snow leopard habitat use in the winter, but not in the summer. Univariate modeling suggested snow leopards prefer to use rugged land in winter with a broad scale (4000 m focal radius) but with a lesser scale in summer (30 m); Snow leopards preferred habitat with a slope of 22° at a scale of 1000 m throughout both seasons, which is possibly correlated with prey occurrence. Furthermore, all covariates mentioned above showed inextricable ties with human activities (presence of settlements and grazing intensity). Our findings show that multiple sources of anthropogenic activity have complex connections with snow leopard habitat use, even under low human density when anthropogenic activities are sparsely distributed across a vast landscape. This study is also valuable for habitat use research in the future, especially regarding covariate selection for finite sample sizes in inaccessible terrain.

Abstract: The Chinese magazine <Man & the Biosphere> (Series No. 54, No. 6, 2008) -- A special series for the conservation of Snow Leopards was published by the Chinese National Committee for Man & the Biosphere in 15th December 2008. It is about 80 pages including ten articles with 200 color pictures. The special editors of this issue are the experts from SLT/XCF Prof. MaMing, Mrs. Ge Yun and Mr. Wen Bo. The first paper is “A King of Snow Peaks, Another Endangered Flagship Species” by Dr. Thomas McCarthy, Dr. Urs Breitenmmoser and Dr. Christine Breitenmoser-Wursten (Page 1-1). Another paper “ Conservation : Turning Awareness to Action ” is also from Dr. Thomas McCarthy (Pages from 6-17). There are four articles including the diary and story of the Surveys in Tomur Mountain and Kunlun Mountains written by Prof. MaMing, Mr. XuFeng, Miss Chen Ying and Miss Cheng Yun from the Xinjiang Snow Leopard Group and XCF, the Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences. The last is “Snow Leopard Enterprises ” -- A Story from Mongolia by Mrs. Jennifer Snell Rullman and Mrs. Agvaantseren Bayarjargal (Bayara). It is a very useful copy for the conservation in China. Cited as:
Ma Ming, GeYun and WenBo (Special editors of this issue). 2008. The special series for the conservation of Snow Leopards in China. Man & the Biosphere 2008(6): 1-80. Contents 1, A king of snow peaks, another endangered flagship species (Synopsis) ------------- 1-1 The contents --------------------------------------------- ( pages from 2-3 )
2, Protecting Snow Leopard means protecting a healthy eco-systems -------------- 4-5
3, Conservation: Turning awareness into action -------------- 6-17
4, Chinese Snow Leopard Team goes into action -------------- 18-25
5, A diary of infrared photography -------------- 26-35
6, Why have the snow leopards in the Tianshan Mountains begun to attack livestock? --- 36-43
7, The mystery of the Snow Leopards coming down the Tianshan Mountains ----------- 44-45
8, Snow leopards secluded Home on the Plateau ------------- 46-59
9, He saw Snow Leopards 30 years ago ------------- 60-69
10, Snow Leopard Enterprises -- A story from Mongolia ------------- 70-80

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.