Abstract: A review of history of creation of the Red Book, International Red List, and Red Data Book of the USSR, Red Data Books of Soviet Republics is made. Snow leopard (with a total population of 10 animals) is included in the Red Data Book of the Uzbek SSR as an endangered species. The author gives the examples of careless attitude to plants and animas resulting in decrease of their populations or even extermination.

Abstract: 18 taxons of rare and endangered mammals of the USSR are distributed over natural zones such as deserts and semi-deserts including riverine forests and elevations; mountains and highlands; forests and forest-steppe; and offshore strips of closed seas. A majority of endangered species is associated with deserts and mountains of Central Asia and Kazakhstan.

Abstract: Over a time of four years the bazars of Afghanistan were surveyed for furs of spotted wild cats, in particular leopards and snow leopards. In 2004 in Kabul a total of 28 furs of leopards were purchased by shopkeepers and 21 sold at an average price of 825 $. In the same year 25 furs of snow leopards were purchased and 19 sold to clients at an average price of 583 $. In 2006 at a single inspection double as many furs of leopards were found to be offered for sale in comparison to the whole year of 2004. Also prices had increased over the two years by 20 % to an average of 1037 $. Similarly the number of furs of snow leopards at 21 pieces was higher than in 2004, and the prices had increased to an average of 652 $. In 2007 investigations rendered more difficult, because the authorities had started to control the fur trade, and the results are not unequivocal. Clients were without any exception foreigners.
Surveys in 2004 in Mazar-e-Sharif, Kunduz, Takhar and Faiz Abad, in 2006 additionally in Baharak and Iskashem in the province of Badakhshan, revealed a regular trade in furs of spotted cats, however not as extensive as in Kabul. The most interesting finding was a fur of a cheetah in Mazar-e-Sharif, the first record of this species after 35 years.
From the surveys can be concluded that leopards still exist in the whole range of its distribution area in Afghanistan. However they don't allow any conclusion on the population size and its threat by hunting. In contrast to the leopard there exists a recent estimation of the population size of the snow leopard, saying that there are still 100 to 200 snow leopards living in Afghanistan. On the basis of these figures as well as the numbers of furs traded annually a Population and Habitat Viability Analysis was conducted. The result of this analysis is alarming. It has to be assumed that the snow leopard will be extinct in Afghanistan within the next ten years. To improve the protection of spotted cats in Afghanistan it needs both, a better implementation of the existing legislation as well as an awareness campaign among potential clients, i. e. foreigners living in Afghanistan.
The second part of this thesis deals with the question of subspecies of leopards in Afghanistan. Out of the 27 subspecies described four are believed to exist in Afghanistan. However, according to a molecularbiological revision of the species there occurs only one subspecies in Afghanistan, Panthera pardus saxicolor. To clarify the subspecies question various measures of furs had been taken in the bazars. The results revealed that the leopards in Afghanistan are the biggest of its species. However a further differentiation according to the area of origin within the country was not possible. Also the traditional differentiation on the basis of colours and patterns on the furs was not possible.
In contrast to the molecularbiological investigations published not only samples of zoo animals were available in this study but also samples from the wild. The own results confim that almost all leopards from Afghanistan and Iran belong to one and the same subspecies, P. p. saxicolor. Only in the most eastern part of Afghanistan, the Indian leopard, Panthera pardus fusca, can be found. The International Studbook for the Persian Leopard was analysed. The whole population derives from a few founder animals, which were imported in the midth fifties from Iran and in the late sixties from Afghanistan. To avoid inbreeding later on the Iranian and the Afghan lines were mixed. A female imported in 1968 from Kabul to Cologne is represented in each of the more than 100 today living animals.Mixing the two lines subsequently is justified by the genetic results of this study. Recently acquired animals from the Caucasus, however, should be tested genetically before integrating them into the zoo population.

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: Assessments of biodiversity status are needed to
track trends, and the IUCN Red List has become the accepted
global standard for documenting the extinction
risk of species. Obtaining robust data on population size is
an essential component of any assessment of a species� status,
including assessments for the IUCN Red List. Obtaining
such estimates is complicated by methodological and
logistical issues, which are more pronounced in the case of
cryptic species, such as the snow leopard Panthera uncia.
Estimates of the total population size of this species have,
to date, been based on little more than guesstimates, but a
comprehensive summary of recent field research indicates
that the conservation status of the snow leopard may be
less dire than previously thought. A revised categorization,
from Endangered to Vulnerable, on the IUCN Red List was
proposed but met some opposition, as did a recent, similar
recategorization of the giant panda Ailuropoda melanoleuca.
Possible factors motivating such attitudes are discussed.
Downlisting on the IUCN Red List indicates that the species
concerned is further from extinction, and is always to be
welcomed, whether resulting from successful conservation
intervention or improved knowledge of status and trends.
Celebrating success is important to reinforce the message
that conservation works, and to incentivize donors.

Abstract: Wildlife tourism is increasingly important for the conservation of
threatened species such as snow leopards. However, what tourists
know or value about snow leopards, and to what extent they support
the conservation of this species, has received limited empirical attention.
This paper investigates tourist knowledge about snow leopards,
beliefs and values toward the species, and support for its conservation
in the Annapurna Conservation Area of Nepal. Survey data were
collected from 406 foreign tourists between March and May 2014.
Although knowledge about snow leopards varied among respondents,
there was widespread support for their conservation.
Knowledge about snow leopards was best explained by education
level and environmental organization membership. Improved knowledge
about the species, and a variety of intrinsic conservation values,
were found to increase tourist support for snow leopard conservation.
These results provide important insights to help tailor tourism
initiatives to support the conservation of snow leopards.

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.