Abstract: The snow leopard Panthera uncia is categorized as Vulnerable on the IUCN Red List. It is the least well-known of the large felids because of its shy and elusive nature and the inaccessible terrain it inhabits across the mountains of Central and South Asia. We report the first photographic record of the snow leopard in Kishtwar High Altitude National Park, India. During our camera-trapping surveys, conducted using a grid-based design, we obtained eight photographs of snow leopards, the first at 3,280 m altitude on 19 September 2022 and subsequent photographs over 3,004-3,878 m altitude. We identified at least four different individuals, establishing the species’ occurrence in Kiyar, Nanth and Renai catchments, with a capture rate of 0.123 ± SE 0.072 captures/100 trap-nights. ghts. We also recorded the presence of snow leopard prey species, including the Siberian ibex Capra sibirica, Himalayan musk deer Moschus leucogaster, long-tailed marmot Marmota caudata and pika Ochotona sp., identifying the area as potential snow leopard habitat. Given the location of Kishtwar High Altitude National Park, this record is significant for the overall snow leopard conservation landscape in India. We recommend a comprehensive study across the Kishtwar landscape to assess the occupancy, abundance, demography and movement patterns of the snow leopard and its prey. In addition, interactions between the snow leopard and pastoral communities should be assessed to understand the challenges facing the conservation and management of this important high-altitude region.

Abstract: The snow leopard Panthera uncia is an elusive and globally-threatened apex predator occurring in the mountain ranges of central Asia. As with other large carnivores, gaps in data on its distribution and abundance still persist. Moreover, available density estimates are often based on inadequate sampling designs or analytical approaches. Here, we used camera trapping across a vast mountainous area (area of the sampling frame 850 km2; analysed habitat extent 2600 km2) and spatially-explicit capture-recapture (SECR) models to provide, to our knowledge, the first robust snow leopard population density estimate for the Altai Mountains. This region is considered one of the most important conservation areas for snow leopards, representing a vast portion of suitable habitat and a key ecological corridor. We also provide estimates of the scale parameter (σ) that reflects ranging behaviour (activity range) and baseline encounter probability, and investigated potential drivers of density and related parameters by assessing their associations with anthropogenic and environmental factors. Sampling yielded 9729 images of snow leopards corresponding to 224 independent detections that belonged to a minimum of 23 identified adult individuals. SECR analysis resulted in an overall density of 1.31 individuals/100 km2 (1.15%–1.50 95% CI), which was positively correlated with terrain slope. This estimate falls within the mid-values of the range of density estimates for the species globally. We estimated significantly different activity range size for females and males (79 and 329 km2, respectively). Base- line encounter probability was negatively associated with anthropogenic activity. Our study contributes to on-going efforts to produce robust global estimates of population abundance for this top carnivore.

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: Animal-borne tracking devices have generated a wealth of new knowledge, allowing us to better understand, manage and conserve species. Fitting such tracking devices requires that animals are captured and often chemically immobilized. Such procedures cause stress and involve the risk of injuries and loss of life even in healthy individuals. For telemetry studies to be justifiable, it is vital that capture operations are planned and executed in an efficient and ethical way. Project objectives must be clearly articulated to address well-defined knowledge gaps, and studies designed to maximize the probability of achieving those goals. We provide guidelines for how to plan, design, and implement telemetry studies with a special emphasis on snow leopards that are typically captured using foot snares. We also describe the necessary steps to ensure that captures are conducted safely, and with minimal stress to animals.

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.