Abstract: The cycle of livestock depredation and retaliatory killing constitutes a major threat to large carnivores worldwide and imposes considerable hardships on human communities. Mitigation efforts are often undertaken with little knowledge of ecological underpinnings and patterns of depredation, limiting conservationists' ability to develop, prioritize, and evaluate solutions. Carnivore detection and depredation data from interviews in affected communities may help address this gap, but such data are often prone to false-positive uncertainty. To address these challenges in the Pamir Mountains of Tajikistan we collected snow leopard, lynx, wolf, and bear detection and depredation reports from local communities via semi-structured interviews. We used a novel hierarchical multi-species multi-state occupancy model that accounted for potential false-positives to investigate carnivore site use and depredation concurrently with respondents' apparent vulnerability to that risk. Estimated false-positive probabilities were small, but failure to account for them overstated site use probabilities and depredation risk for all species. Although individual vulnerability was low, depredation was nonetheless commonplace. Carnivore site use was driven by clear habitat associations, but we did not identify any clearly important large-scale spatial correlates of depredation risk despite considerable spatial variation in that risk. Respondents who sheltered livestock in household corrals reinforced with wire mesh were less likely to report snow leopard depredations. Reducing depredation and retaliation at adequately large scales in the Pamirs will likely require a portfolio of species-specific strategies, including widespread proactive corral improvements. Our approach expanded inference on the often-cryptic processes surrounding human-carnivore conflict even though structured wildlife data were scarce.

Abstract: Predators shape their ecosystems through myriad interactions with prey, other predators, and humans. However, the effects of these interactions may be contingent on multiple contextual factors, hindering prediction in any given community and impeding a general understanding of the ecological effects of predators. Despite their prominence as conservation flagship in the mountains of Central Asia, even basic aspects of snow leopard (Panthera uncia) ecology remain underexplored and poorly understood. The ecology of wolves (Canis lupus), sympatric with snow leopards throughout that species’ range, has been even more neglected in the region, notwithstanding the significant impact of livestock depredation on pastoralist communities. This dissertation examines the interactions underlying the coexistence of wolves and snow leopards, including those with humans and their joint effects on prey, with the broader goal of improving our understanding of the context-dependence of the non-consumptive effects (NCEs) of predators. In Chapter 2, I explore the patterns of spatial, temporal, and dietary niche overlap between wolves and snow leopards in the Eastern Pamir Mountains of Tajikistan. I show that in
light of dietary and temporal overlap, the two predators’ coexistence may depend on strong spatial partitioning. In Chapter 3, I explore the consequences of this spatial partitioning by investigating how shared prey with distinct escape tactics, ibex (Capra sibirica) and argali (Ovis ammon), navigate the tradeoffs posed by the two predators in the Central Tien Shan Mountains of Kyrgyzstan. Each ungulate responded to each predator in a manner that was predictable based on the compatibility of their respective evasion and hunting-mode traits, suggesting that non- consumptive predator effects depend not on predator hunting mode or prey escape tactics, but rather on their interaction. Furthermore, short-term predation risk may upend each ungulates’ long-term risk avoidance strategy, suggesting that emergent effects of multiple predators may have important consequences in this system. In Chapter 4, I develop a novel approach to investigate large-scale patterns of livestock depredation risk and occurrence for wolves and snow leopards, but also lynx (Lynx lynx) and bears (Ursus arctos), in the Western Pamirs of Tajikistan. Livestock depredation was commonplace, with most communities exposed to multiple predators, highlighting that conservation efforts meant to reduce conflict between people and carnivores should aim to reduce depredation as it is experienced by human communities – a threat from the entire carnivore guild. Overall, my results suggest that single-species approaches to conservation in the mountains of Central Asia may be inadequate for ecosystems and people. This dissertation advances the cause of conservation in Central Asia by providing an empirical perspective on how snow leopards and wolves coexist and shape their ecosystems, and by providing practical insight into the challenge of livestock depredation and conflict, a primary threat to wolves and snow leopards in the region. By showing that the non-consumptive effects of predators cannot be predicted based solely on prey escape tactics or predator hunting mode alone, it also contributes to a more comprehensive understanding of the role of predators in shaping ecosystems.

Abstract: The snow leopard is an endangered large felid inhabiting highlands of 12 Asian countries. It is distributed
across vast territories and adequate modern methods are required for mapping its potential habitats. The goal
of the present study is to create a model of snow leopard potential habitat within the northern part of its range
in Russia (and adjacent territories of Mongolia, China and Kazakhstan). More than 5 years of observations
(total number of presence points = 449), environmental variables and the maximum entropy distribution
method (Maxent) are used. The resulting map demonstrates that a suitable habitat (probability of the animal�s
presence between 0.5 and 1) of the northern population of snow leopard in Russia occupies 16500 km2
with a buffer of transient territories (probability between 0.25 and 0.49) covering 32800 km2. Most of a suitable
habitat within the study area is associated with the Altai Mountains, Western Sayan Mountains, Sangilen
Plateau, Tsagan-Shibetu and Shapshal. One third of the suitable habitat lies within areas of a varying protection
status. The results of modeling are of importance both for scientists and conservation managers, as they
allow for leopard occurrence to be predicted, supporting research on and the conservation of the species.

Abstract: Diverse flora and fauna and seasonal phenomena in nature are stated in a popular form. Snow leopard is noticed to be a rare species, its population being significantly influenced by catching for zoos: over 400 snow leopards have been caught for this purpose over the last 35 years.