Abstract: As a 'flagship' and 'umbrella' species the snow leopard can be a unifying biological feature to
raise awareness of its plight and the need for conservation, which will benefit other facets of Himalayan
biodiversity as well. Some studies of snow leopards have been conducted in the Himalayan region. But,
because of its elusive nature and preference for remote and inaccessible habitat, knowledge of the
ecology and behaviour of this mystical montane predator is scant. The available information, however,
suggests that snow leopards occur at low densities and large areas of habitat are required to conserve
a viable population. Thus, many researchers and conservationists have advocated landscape-scale
approaches to conservation within a regional context, rather than focusing on individual protected areas.
While the issues are regional, the WWF's in the region have developed 5-year strategic actions and
activities, using the regional strategies as a touchstone, which will be implemented at national levels.
The WWF's will develop proposals based on these strategic actions, with estimated budgets, for use by
the network for funding and fund-raising. WWF also recognizes the need to collaborate and coordinate
within the network and with other organizations in the region to achieve conservation goals in an
efficient manner, and will form a working group to coordinate activities and monitor progress.

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.

Abstract: The Vulnerable snow leopard Panthera uncia experiences
persecution across its habitat in Central Asia, particularly
from herders because of livestock losses. Given the
popularity of snow leopards worldwide, transferring some
of the value attributed by the international community to
these predators may secure funds and support for their conservation.
We administered contingent valuation surveys to
&#63284;&#63280;&#63286; international visitors to the Annapurna Conservation
Area, Nepal, between May and June &#63282;&#63280;&#63281;&#63284;, to determine
their willingness to pay a fee to support the implementation
of a Snow Leopard Conservation Action Plan. Of the &#63284;&#63289;%of
visitors who stated they would pay a snow leopard conservation
fee in addition to the existing entry fee, the mean
amount that they were willing to pay was USD &#63285;&#63289; per trip.
The logit regression model showed that the bid amount, the
level of support for implementing the Action Plan, and the
number of days spent in the Conservation Area were significant
predictors of visitors’ willingness to pay. The main reasons
stated by visitors for their willingness to pay were a
desire to protect the environment and an affordable fee. A
major reason for visitors’ unwillingness to pay was that
the proposed conservation fee was too expensive for them.
This study represents the first application of economic valuation
to snow leopards, and is relevant to the conservation of
threatened species in the Annapurna Conservation Area
and elsewhere.

Abstract: It gives description complexes of mountain ecosystems fauna of Central Asia, endangered vertebrates, main threats to biodiversity and existing protected areas network. Among the rare animal species of the alpine and subalpine meadows first of all should be listed the West Tien Shan endemic, the Menzbier's marmot (Marmota menzbien); the markhor wild goat which still inhabits the Vakhsh range in Tadjikistan; the dhole (Cyon alpinus) which is practically extinct; the Tien Shan bear (Ursus arctos isabellinus), and the snow leopard (Uncia uncia); among birds, the wlute-chested dove (Columba leuconota), sandgrouse (Syrrhaptes tibetanus, snowcocks (Tetraogallus tibetanus, T.altaicus) and bearded vulture (Gypaetus barbatus).

Abstract: China, the world's most populous country, also contains the largest number of Snow Leopards of any country in the world. But the survey and research of the snow leopard had been very little for the second half of the 20th century. Until recent years, the members of Xinjiang Snow Leopards Group (XSLG/SLT/XFC) , the Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences have been tracking down the solitary animal. The journal reporter does a face-to-face interview with professor Ma Ming who is a main responsible expert of the survey team. By the account of such conversation, we learn the achievements, advances and difficulty of research of snow leopards in the field, Tianshan and Kunlun, Xinjiang, the far west China, and we also know that why the team adopt the infrared camera to capture the animals. Last but not least professor talked about the survival menace faced by the Snow Leopards in Xinjiang.