Abstract: The Pallas’s cat (Otocolobus manul) is one of the most understudied taxa in the Felidae family. The species is currently assessed as being of “Least Concern” in the IUCN Red List, but this assessment is based on incomplete data. Additional ecological and genetic information is necessary for the long-term in situ and ex situ conservation of this species. We identified 29 microsatellite loci with sufficient diversity to enable studies into the individual identification, population structure, and phylogeography of Pallas’s cats. These microsatellites were genotyped on six wild Pallas’s cats from the Tibet Autonomous Region and Mongolia and ten cats from a United States zoo-managed population that originated in Russia and Mongolia. Additionally, we examined diversity in a 91 bp segment of the mitochondrial 12S ribosomal RNA (MT-RNR1) locus and a hypoxia-related gene, endothelial PAS domain protein 1 (EPAS1). Based on the microsatellite and MT-RNR1 loci, we established that the Pallas’s cat displays moderate genetic diversity. Intriguingly, we found that the Pallas’s cats had one unique nonsynonymous substitution in EPAS1 not present in snow leopards (Panthera uncia) or domestic cats (Felis catus). The analysis of the zoo-managed population indicated reduced genetic diversity compared to wild individuals. The genetic information from this study is a valuable resource for future research into and the conservation of the Pallas’s cat.

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 ?. On the other hand, larger trapping array with fewer detectors and poor design induces uncertainties in the estimates. We conclude that existing design recommendations have limited utility on practical grounds for devising feasible sampling designs for large ranging species, and more research on SCR designs is required that allows for integrating biological and habitat traits of large carnivores in sampling framework. We also suggest that caution should be exercised when there is a reliance on convenience sampling.

Abstract: Globally, in semi-arid and arid landscapes, there is an
ongoing transition from livestock-production systems to crop-production
systems, and in many parts of Asia's arid mountains, mining for minerals
is also increasing. These changes are accompanied by a change in the
generation and quality of ecosystem services (ES), which can impact
human well-being. In this study, to better understand the impacts of
such transitions, we quantified ES in two crop-based and three
livestock-based production systems in the arid and semi-arid landscapes
of the High Himalaya and Central Asia, specifically in the Indian
Himalaya, Kyrgyz Tien Shan, and Mongolian Altai. Our results showed 1)
high economic dependence (3.6–38 times the respective annual household
income) of local farmers on provisioning ES, with the economic value of
ES being greater in livestock-production systems (7.4–38 times the
annual household income) compared to crop-production systems (3.6–3.7
times the annual household income); 2) ES input into cashmere
production, the main commodity from the livestock-production systems,
was 13–18 times greater than the price of cashmere received by the
farmer; and 3) in the livestock production systems affected by mining,
impacts on ES and quality of life were reported to be negative by
majority of the respondents. We conclude that livestock-based systems
may be relatively more vulnerable to degrading impacts of mining and
other ongoing developments due to their dependence on larger ES resource
catchments that tend to have weaker land tenure and are prone to
fragmentation. In contrast to the general assumption of low value of ES
in arid and semi-arid landscapes due to relatively low primary
productivity, our study underscores the remarkably high importance of ES
in supporting local livelihoods.

Abstract: The “Snow Leopard Population Monitoring Guidebook” is the result of a multiyear effort to study and monitor the status of key snow leopard populations in the Russian Federation conducted by WWF Russia specialists alongside colleagues in protected areas and the Severtsov Institute for Ecology and Evolution (Russian Academy of Sciences). The book provides the most recent data regarding the distribution and population of the snow leopard in three administrative subjects of the Russian Federation – Republics of Altai, Tyva, and Buryatiya. Optimal survey routes and a grid network for camera-trapping stations are discussed and are based on a previously-developed program for standardized monitoring and surveying of the snow leopard population. The most important part of this publication is the analysis of methodologies for evaluating the status of population groups of this rare cat – from the traditional route census approach to innovative systems for automated collection of field data. In addition, the results of multi-year work analyze snow leopard nutrition and evaluate the genetic diversity of the snow leopard population in Russia.

Abstract: Local support and involvement is often essential for effective
wildlife conservation. This study assessed the impact of local
involvement in ecotourism schemes on perceptions of wildlife, promotion
of conservation action, types of values that communities placed on
wildlife, and contexts in which wildlife are considered to be most
valuable. The study used qualitative semi-structured interviews
conducted in seven villages in Ladakh, India, which is an important
region of snow leopard (Panthera uncia) habitat. Results indicated that
in these communities, ecotourism-based interventions encourage more
positive perceptions of wildlife species, in particular the snow
leopard. Achieving change in community perceptions of wildlife is key
when implementing ecotourism schemes to enable more effective
conservation, as well as generating local awareness and value for
wildlife toward problematic keystone species such as the snow leopard,
which are frequently the focus of human-wildlife conflict.