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: Over the years, many conservation actions and practices to protect the snow leopard have been tried and tested. Those that have been successful and sustainable are programs that link economics with conservation. Some of these practices may not be appreciated by traditional conservationists, but no one can refute the success of these actions. The saying, “when it pays, it stays,” rings true with snow leopard conservation. Locals have realized that their income and prosperity are linked with the protection of wildlife. For conservation efforts to be effective, it is crucial to involve people who share the snow leopard's mountain environment and provide them with economic incentives for
enhancing and protecting the habitat.

Abstract: Pastoralism and predation are two major concomitantly known facts and matters of concern for conservation biologists worldwide. Pastoralist-predator conflict constitutes a major social-ecological concern in the Pamir mountain range encompassing Afghanistan, Pakistan, and Tajikistan, and affects community attitudes and tolerance toward carnivores. Very few studies have been conducted to understand the dynamics of livestock predation by large carnivores like snow leopards (Panthera uncia) and wolves (Canis
lupus), owing to the region�s remoteness and inaccessibility. This study attempts to assess the intensity of livestock predation (and resulting perceptions) by snow leopards and wolves across the Afghani, Pakistani, and Tajik Pamir range during the period January 2008�June 2012. The study found that livestock mortality due to disease is the most serious threat to livestock (an average 3.5 animal heads per household per year) and ultimately to the rural economy (an average of US$352 per household per year) as compared to
predation (1.78 animal heads per household per year, US$191) in the three study sites. Overall, 1419 (315 per year) heads of livestock were reportedly killed by snow leopards (47%) and wolves (53%) in the study sites. People with comparatively smaller landholdings and limited earning options, other than livestock rearing, expressed negative attitudes toward both wolves and snow leopards and vice versa. Education was found to be an effective solution to dilute people�s hatred for predators. Low public tolerance of the wolf and
snow leopard in general explained the magnitude of the threat facing predators in the Pamirs. This will likely continue unless tangible and informed conservation measures like disease control and predation compensation programs are taken among others.

Abstract: Patterns of mitochondrial restriction fragment length polymorphism (RFLP) variation were used to resolve more recent relationships among the species of the Felidae ocelot lineage, domestic cat lineage, and pantherine lineage. Twenty-five of 28 restriction enzymes revealed site variation in at least 1 of 21 cat species. The ocelot lineage was resolved into three separate sister taxa groups: Geoffroy's cat (Oncifelis geoffroyi) and kodkod (O. guigna), ocelot (Leopardus pardalis) and margay (L. wiedii), and pampas cat (Lynchailurus colocolo) and most of the tigrina samples (Leopardus tigrina). Within the domestic cat lineage, domestic cat (Felis catus), European wild cat (F. silvestris), and African wild cat (F. libyca) formed a monophyletic trichotomy, which was joined with sand cat (F. margarita) to a common ancestor. Jungle cat (F. chaus) and black-footed cat (F. nigripes) mtDNAs diverged earlier than those of the other domestic cat lineage species and are less closely related. Within the pantherine lineage, phylogenetic analysis identified two distinct groups, uniting lion (P. leo) with leopard (P. pardus) and tiger (P. tigris) with snow leopard (P. uncia).

Abstract: Photo-identification of individual snow leopards (Panthera uncia) is the primary data source for density estimation via capture-recapture statistical methods. To identify individual snow leopards in camera trap imagery, it is necessary to match individuals from a large number of images from multiple cameras and historical catalogues, which is both time-consuming and costly. The camouflaged snow leopards also make it difficult for machine learning to classify photos, as they blend in so well with the surrounding mountain environment, rendering applicable software solutions unavailable for the species. To potentially make snow leopard individual identification available via an artificial intelligence (AI) software interface, we first trained and evaluated image classification techniques for a convolutional neural network, pose invariant embeddings (PIE) (a triplet loss network), and compared the accuracy of PIE to that of the HotSpotter algorithm (a SIFT-based algorithm). Data were acquired from a curated library of free-ranging snow leopards taken in Afghanistan between 2012 and 2019 and from captive animals in zoos in Finland, Sweden, Germany, and the United States. We discovered several flaws in the initial PIE model, such as a small amount of background matching, that was addressed, albeit likely not fixed, using background subtraction (BGS) and left-right mirroring (LR) techniques which demonstrated reasonable accuracy (Rank 1: 74% Rank-5: 92%) comparable to the Hotspotter results (Rank 1: 74% Rank 2: 84%)The PIE BGS LR model, in conjunction with Hotspotter, yielded the following results: Rank-1: 85%, Rank-5: 95%, Rank-20: 99%. In general, our findings indicate that PIE BGS LR, in conjunction with HotSpotter, can classify snow leopards more accurately than using either algorithm alone.