Abstract: Visual attractiveness and rarity often results in large carnivores being adopted as flagship
species for stimulating conservation awareness. Their hunting behaviour and prey selection
can affect the population dynamics of their prey, which in turn affects the population dynamics
of these large carnivores. Therefore, our understanding of their trophic ecology and foraging
strategies is important for predicting their population dynamics and consequently for
developing effective conservation programs. Here we concentrate on an endangered species
of carnivores, the snow leopard, in the Himalayas. Most previous studies on snow leopard
diet lack information on prey availability and/or did not genetically check, whether the
identification of snow leopard scats is correct, as their scats are similar to those of other
carnivores. We studied the prey of snow leopard in three Himalayan regions in Nepal
(Sagarmatha National Park (SNP), Lower Mustang (LM) and Upper Manang (UM) in the
Annapurna Conservation Area, during winter and summer in 2014�2016. We collected 268
scats along 139.3 km linear transects, of which 122 were genetically confirmed to belong to
snow leopard. Their diet was identified by comparing hairs in scats with our reference collection
of the hairs of potential prey. We determined prey availability using 32�48 camera-traps
and 4,567 trap nights. In the SNP, the most frequent prey in snow leopard faeces was the
Himalayan tahr in both winter and summer. In LM and UM, its main prey was blue sheep in
winter, but yak and goat in summer. In terms of relative biomass consumed, yak was the
main prey everywhere in both seasons. Snow leopard preferred large prey and avoided
small prey in summer but not in winter, with regional differences. It preferred domestic to
wild prey only in winter, and in SNP. Unlike most other studies carried out in the same area,
our study uses genetic methods for identifying the source of the scat. Studies solely based
on visual identification of samples may be strongly biased. Diet studies based on frequency
of occurrence of prey tend to overestimate the importance of small prey, which may be consumed
more often, but contribute less energy than large prey. However, even assessments
based on prey biomass are unlikely to be accurate as we do not know whether the actual
size of the prey consumed corresponds to the average size used to calculate the biomass
eaten. For example, large adults may be too difficult to catch and therefore mostly young animals are consumed, whose weight is much lower. We show that snow leopard consumes
a diverse range of prey, which varies both regionally and seasonally. We conclude that in
order to conserve snow leopards it is also necessary to conserve its main wild species of
prey, which will reduce the incidence of losses of livestock.

Abstract: The snow leopard Panthera uncia is a vulnerable wild felid native to mountainous regions of 12 Asian countries. It faces numerous overlapping threats, including killings by herders retaliating against livestock losses, the illegal wildlife trade, loss of prey and habitat, infra- structure, energy and mining developments, and climate change. The species ranges over large territories that often lie outside of protected areas (PA), so coexistence with human populations across its range is key to its persistence. Human attitudes to snow leopards may be an important factor to consider in reducing overlapping threats to this species. How- ever, this nexus has not been widely studied to date. Attitudes to snow leopard conserva- tion, including actors and interventions, may also be a significant aspect of coexistence. These have also received limited empirical attention. This study therefore explored human attitudes to snow leopards and to snow leopard conservation, the motivations for these atti- tudes and the individual factors that best explained them. Using systematic sampling, a quantitative questionnaire was administered to 705 households at two sites in the Nepal Himalayas: Sagarmatha National Park, with a less decentralised governance model, and Annapurna Conservation Area, with a more decentralised model. Linear regression models were the main form of analysis. Based on these, attitudes to snow leopard conservation emerged as the strongest influence on local attitudes to snow leopards, and vice versa. This was true in both PAs, despite their differing management regimes. Other important explana- tory factors included numbers of livestock owned, years of education, household livelihoods and age. Furthermore, a positive intrinsic motivation was the most common reason given by respondents to explain their attitudes to both snow leopards and snow leopard conservation. These findings demonstrate that, in addition to the usual suite of factors that influence atti- tudes to a species, the way in which its conservation is pursued and perceived also needs consideration. How the snow leopard is conserved may strongly influence its coexistence with local communities.

Abstract: Reliable assessments of animal abundance are key for successful conservation of endangered species. For elusive animals with individually-unique markings, camera-trap surveys are a benchmark standard for estimating local and global population abundance. Central to the reliability of resulting abundance estimates is the assumption that individuals are accurately identified from photographic captures. To quantify the risk of individual misidentification and its impact on population abundance estimates we performed an experiment under controlled conditions in which 16 captive snow leopards (Panthera uncia) were camera-trapped on 40 occasions and eight observers independently identified individuals and recaptures. Observers misclassified 12.5% of all capture occasions, resulting in systematically inflated population abundance estimates on average by one third (mean ± SD = 35 ± 21%). Our results show that identifying individually-unique individuals from camera-trap photos may not be as reliable as previously believed, implying that elusive and endangered species could be less abundant than current estimates indicate.

Abstract: The simultaneous development of technology (e.g. camera traps) and statistical methods, particularly spatially capture–recapture (SCR), has improved monitoring of large mammals in recent years. SCR estimates are known to be sensitive to sampling design, yet existing recommendations about trap spacing and coverage are often not achieved, particularly for sampling wide-ranging and rare species in landscapes that allow for limited accessibility. Consequently, most camera trap studies on large wide-ranging carnivores relies on convenience or judgmental sampling, and often yields compromised results. This study attempts to highlight the importance of carefully considered sampling design for large carnivores that, because of low densities and elusive behavior, are challenging to monitor. As a motivating example, we use two years of snow leopard camera trapping data from the same areas in the high mountains of Pakistan but with vastly different camera configurations, to demonstrate that estimates of density and space use are indeed sensitive to the trapping array. A compact design, one in which cameras were placed much closer together than generally recommended and therefore have lower spatial coverage, resulted in fewer individuals observed, but more recaptures, and estimates of density and space use were inconsistent with expectations for the region. In contrast, a diffuse design, one with larger spacing and spatial coverage and more consistent with general recommendations, detected more individuals, had fewer recaptures, but generated estimates of density and space use that were in line with expectations. Researchers often opt for compact camera configurations while monitoring wide-ranging and rare species, in an attempt to maximize the encounter probabilities. We empirically demonstrate the potential for biases when sampling a small area approximately the size of a single home range—this arises from exposing fewer individuals than deemed sufficient for estimation. The smaller trapping array may also underestimate density by significantly inflating