The snow leopard Panthera uncia is a flagship species of the greater Himalayan region and symbolizes the integrity of this ecological system. Within the greater Himalayas, Pakistan holds special significance as the north of the country represents a confluence of three major mountain ranges (Hindu Kush, Pamir–Karakoram, and Himalaya). However, robustly surveying and monitoring elusive, low‐density species such as snow leopards has historically been difficult in the region. As a result, our understanding of the spatial patterns in density and overall population size of snow leopards has remained conjectural in Pakistan. This lack of objective information is an obstacle to realizing effective conservation planning for the species in Pakistan, as well as the broader ecosystem within which it plays a key role. This study aimed to empirically derive population estimates for snow leopards in Pakistan, based on extensive camera trapping conducted over a decade (2010–2019), covering about 39% of the species' range across four major mountain ranges in northern Pakistan. A total of 828 cameras were placed over 26 540 trap days, resulting in 4712 photos of snow leopards obtained from 65 different locations. Among the 53 unique individuals identified, the majority (53%) were detected only once, with an overall recapture frequency of 2.28 times per individual. Spatial capture–recapture (SCR) was employed for population and density estimation. Model selection strongly favored a model in which density was negatively associated with distance to the closest glacier and positively associated with elevation, and baseline encounter rates were higher in the Pamir–Karakoram region and with Reconyx cameras than in other regions and types of cameras. The estimated population size for snow leopards in Pakistan was 155 (95% CI 100–239), with a mean density of 0.16 (95% CI 0.10–0.24) animals per 100 km ² . This research provides the first robust population estimate for snow leopards in this region, establishing a foundation for long‐term population monitoring and assessing the effectiveness of conservation measures. We recommend the integration of complementary approaches, such as non‐invasive genetic methods, to validate and refine population estimates.

Mammalian carnivores play an important role in maintaining the integrity of an ecosystem; therefore, their conservation as an umbrella species ensures the conservation of other species as well as the entire ecosystem. The northern area of Pakistan has a rich diversity of globally and regionally significant carnivore species, many of which are threatened mainly due to conflict with humans. In the current study, we used multiple survey techniques: camera trapping, sign surveys, and questionnaire surveys in the Basha–Braldu Valleys of the Central Karakoram National Park (CKNP) during the period 20 May–31 July 2017. The objectives were to document mammalian carnivore diversity and relative abundance and to assess community perceptions of carnivores and human–carnivore conflicts associated with economic losses from livestock depredation. Camera trapping was only carried out in the Basha valley, where 30 motion-triggered cameras were deployed for two months, maintaining a minimum spatial distance of 1 km between the nearest cameras. Sign surveys were carried out in both valleys by dividing the area into 5 km × 5 km grids. Signs of carnivores were searched in a 50 m radius of the sampling point, and a minimum distance of 100 m was maintained between the two nearest sampling points. The questionnaire survey was conducted in communities residing in both valleys. Overall, 140 randomly selected locals from 23 villages were interviewed about the human–carnivore interaction in the area. The questionnaire covered the respondents’ demographics, carnivore sightings and status, economic loss due to livestock depredation, and local perceptions towards carnivores. The study confirmed the presence of seven carnivore species, including the snow leopard (Panthera uncia), grey wolf (Canis lupus), red fox (Vulpes vulpes), brown bear (Ursus arctos), Himalayan lynx (Lynx lynx), stone marten (Martes foina), and weasel (Mustela altaica). Of the total livestock losses reported, carnivores accounted for 30% (394 animals), while 70% (1347 animals) were attributed to disease, resulting in an overall economic loss of USD 138,778 (USD 991 per household). Livestock depredation varied with season, prey type, location, livestock guarding practices, and predator species. Due to high levels of livestock depredation, local communities perceived the grey wolf as the most dangerous carnivore, with many respondents favoring its reduction or elimination. Our findings indicate that the Basha–Braldu Valleys support a rich diversity of globally important carnivore species; however, human–carnivore conflict driven by livestock depredation remains a major conservation challenge. Effective conflict-mitigation interventions are essential to promote sustainable conservation practices and long-term coexistence within these mountain ecosystems. Further studies are recommended to improve the understanding of carnivore population status, distribution, and dietary ecology.