Abstract: In accordance with order of the Ministry of Nature and Tourism,
zoologists of our association have made surveys in three ways such as
reasons why snow leopards attack domestic animals, “Snow leopard” trial
operation to count them and illegal hunting in territories of Khovd,
Gobi-Altai, Bayankhongor, Uvurkhangai and Umnugobi provinces from
September 2009 to January 2010. As result of these surveys it has made
the following conclusions in the followings: Reason to hunt them illegally: the principal reason is that
administrative units have been increased and territories of
administrative units have been diminished. There have been four
provinces in 1924 to 1926, 18 since 1965, 21 since 1990. Such situation
limits movements of herdsmen completely and pastures digressed much than
ever before. As result of such situation, 70% of pastures become desert.
Such digression caused not only heads of animals and also number of
species. Guarantee is that birds such as owls, cuckoo, willow grouse in
banks of Uyert river, Burkhanbuudai mountain, located in Biger soum,
Gobi-Altai province, which are not hunted by hunters, are disappearing
in the recent two decades. For that reason we consider it is urgently
necessary for the government to convert administrative unit structures
into four provinces. This would influence herdsmen moving across
hundreds km and pastures could depart from digression.
Second reason: cooperative movement won. The issues related to management and strengthening of national
cooperatives, considered by Central Committee of Mongolian People's
Revolutionary Party in the meeting in March 1953 was the start of
cooperatives' movement. Consideration by Yu. Tsedenbal, chairman of
Ministers Council, chairman of the MPRP, on report "Result of to unify
popular units and some important issues to maintain entity management of
agricultural cooperatives" in the fourth meeting by the Central
Committee of Mongolian People's Revolutionary Party /MPRP/ on December
16-17, 1959, proclaimed complete victory of cooperative. At the end of
1959, it could unify 767 small cooperative into 389 ones, unify 99.3 %
of herdsmen and socialize 73.3 % of animals. The remaining of animals
amount 6 million 163 thousands animals, and equals to 26.7% of total
animals. This concerned number of animals related to the article
mentioned that every family should have not more that 50 animals in
Khangai zone and not more 75 animals in Gobi desert. It shows that such
number could not satisfy needs of family if such number is divided into
five main animals in separating with reproduction animals and adult
animals. So herdsmen started hunt hoofed animals secretly and illegally
in order to satisfy their meat needs. Those animals included main food
of snow leopard such as ibex, wild sheep, and marmot. Third reason is that the state used to hunt ibex, which are main
nutrition of snow leopards, every year. The administrative unit of the
soum pursued policy to hunt ibex in order to provide meat needs of
secondary schools and hospitals. That's why this affected decrease of
ibex population. Preciously from 1986 to 1990 the permissions to hunt
one thousands of wild sheep and two thousands of ibexes were hunt for
domestic alimentary use every year. Not less than 10 local hunters of every soum used to take part in big
game of ibexes. Also they hunted many ibexes, chose 3-10 best ibexes and
hid them in the mountains for their consummation during hunting.
Fourth reason: hunting of wolves. Until 1990 the state used to give
prizes to hunter, who killed a wolf in any seasons of the year. Firstly
it offered a sheep for the wolf hunter and later it gave 25 tugrugs /15
USD/. Every year, wolf hunting was organized several times especially
picking wolf-cubs influenced spread and population of wolves. So snow
leopard came to the places where wolves survived before and attack
domestic animals. Such situation continued until 1990. Now population of
ibexes has decreased than before 1990 since the state stopped hunting
wolves, population of wolves increased in mountainous zones. We didn't
consider it had been right since it was natural event. However
population of ibexes decreased. Fifth reason: Global warming. In recent five years it has had a drought
and natural disaster from excessive snow in the places where it has
never had such natural disasters before. But Mongolia has 40 million
heads of domestic animals it has never increased like such quantity in
its history before. We consider it is not incorrect that decrease of
domestic animals could give opportunities to raise population of wild
animals. Our next survey is to make attempt to fix heads of snow leopards
correctly with low costs.

Abstract: Climate change is likely to affect the persistence of large, space-requiring species through habitat shifts,
loss, and fragmentation. Anthropogenic land and resource use changes related to climate change can also
impact the survival of wildlife. Thus, climate change has to be integrated into biodiversity conservation
plans. We developed a hybrid approach to climate-adaptive conservation landscape planning for snow
leopards in the Himalayan Mountains. We first mapped current snow leopard habitat using a mechanistic
approach that incorporated field-based data, and then combined it with a climate impact model using a
correlative approach. For the latter, we used statistical methods to test hypotheses about climatic drivers
of treeline in the Himalaya and its potential response to climate change under three IPCC greenhouse gas
emissions scenarios. We then assessed how change in treeline might affect the distribution of snow leopard
habitat. Results indicate that about 30% of snow leopard habitat in the Himalaya may be lost due to a
shifting treeline and consequent shrinking of the alpine zone, mostly along the southern edge of the range
and in river valleys. But, a considerable amount of snow leopard habitat and linkages are likely to remain
resilient to climate change, and these should be secured. This is because, as the area of snow leopard habitat
fragments and shrinks, threats such as livestock grazing, retaliatory killing, and medicinal plant collection
can intensify. We propose this approach for landscape conservation planning for other species
with extensive spatial requirements that can also be umbrella species for overall biodiversity.
 2012 Elsevier Ltd. All rights reserved

Abstract: Non-invasive genetic techniques utilising DNA extracted from faeces hold great promise for felid conservation research. These methods can be used to establish species
distributions, model habitat requirements, analyse diet, estimate abundance and population density, and form the basis for population, landscape and conservation genetic analyses. Due to the elusive nature of most felid species, non-invasive genetic methods have the potential to provide
valuable data that cannot be obtained with traditional observational or capture techniques. Thus, these methods are particularly valuable for research and conservation of endangered
felid species. Here, we review recent studies that use non-invasive faecal genetic techniques to survey or study wild felids; provide an overview of field, laboratory and analysis techniques; and offer suggestions on how future non-invasive genetic studies can be expanded or improved to more effectively support conservation.

Abstract: After 30 years of searching for the mysterious Beringian snow cat in vast space of Koryakia and Chukotka
one of the five cameras recorded finally this beast at night in September 2014. This is not so much a
sensation as a real scientific discovery, saying that the hearts of the snow leopard population resettlement are
not in 5000 km from the main range boundaries, but much closer. Where? � will show further studies.
In addition to the snow leopard in the North-Eastern Asia, it found two more endangered large
mammal species: the Amur tiger and the relict of the Ice Age � the Irkuyem-bear. Author has given these
animals his life and his article devoted to this topic.

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
 international visitors to the Annapurna Conservation
Area, Nepal, between May and June , to determine
their willingness to pay a fee to support the implementation
of a Snow Leopard Conservation Action Plan. Of the %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  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: 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.

Abstract: Conservation strategies for apex predators, like the snow leopard (Panthera uncia), depend on a robust understanding of their dietary preferences, prey abundance, and adaptability to changing ecological conditions. To address these critical conservation concerns, this study presents a comprehensive evidence on prey availability and preferences for snow leopards in the Lapchi Valley in the Nepal Himalayas from November 2021 to March 2023. Field data were collected through the installation of twenty-six camera traps at 16 strategically chosen locations, resulting in the recording of 1228 events of 19 mammalian species, including domesticated livestock. Simultaneously, the collection of twenty snow leopard scat samples over 3800 m above sea level allowed for a detailed dietary analysis. Photo capture rate index and biomass composition analysis were carried out and seasonal prey availability and consumption were statistically analyzed. A total of 16 potential prey species for the snow leopard were documented during the study period. Himalayan musk deer (Moschus leucogaster) was the most abundant prey species, but infrequent in the diet suggesting that are not the best bet prey for the snow leopards. Snow leopards were found to exhibit a diverse diet, consuming eleven prey species, with blue sheep (Pseudois nayaur) being their most consumed wild prey and horses as their preferred livestock. The Pianka’s index of dietary niche overlap between the summer and winter seasons were 0.576, suggesting a pronounced seasonal variation in food preference corroborating with the prey availability. The scarcity of larger preys in winter is compensated by small and meso-mammals in the diet, highlighting the snow leopard’s capacity for dietary plasticity in response to the variation in resource availability. This research suggests for the utilization of genetic tools to further explore snow leopard diet composition. Additionally, understanding transboundary movements and conducting population assessments will be imperative for the formulation of effective conservation strategies.