Abstract: Rare, elusive predators offer few sightings, hindering research with small sample sizes and lack of experimentation. While predators may be elusive, their prey are more readily observed. Prey respond to the presence of a predator, and these fear responses may have population- and community-level consequences. Anti-predator behaviors, such as vigilance, allow us to sidestep the difficulty of direct field studies of large predators by studying them indirectly. Here we used a behavioral indicator, the vigilance behavior of the Himalayan tahr, the snow leopard’s main local prey, to reveal the distribution and habitat use of snow leopards in the Mt. Everest region of Nepal. We combined techniques of conventional field biology with concepts of foraging theory to study prey behavior in order to obtain insights into the predator’s ecology. The Himalayan tahr’s vigilance behavior correlates with the distribution of snow leopard signs. Tahr actually led us to six sightings of snow leopards. We conclude that behavioral indicators provided by prey offer a valuable tool for studying and monitoring stealthy and rare carnivores.

Abstract: Recollections by a German forest-ranger about his pet, a snowleopard.

Abstract: Replicated multiple scale species distribution models (SDMs)
have become increasingly important to identify the correct variables
determining species distribution and their influences on ecological
responses. This study explores multi-scale habitat relationships of the
snow leopard (Panthera uncia) in two study areas on the Qinghai–Tibetan
Plateau of western China. Our primary objectives were to evaluate the
degree to which snow leopard habitat relationships, expressed by
predictors, scales of response, and magnitude of effects, were
consistent across study areas or locally landcape-specific. We coupled
univariate scale optimization and the maximum entropy algorithm to
produce multivariate SDMs, inferring the relative suitability for the
species by ensembling top performing models. We optimized the SDMs based
on average omission rate across the top models and ensembles’ overlap
with a simulated reference model. Comparison of SDMs in the two study
areas highlighted landscape-specific responses to limiting factors.
These were dependent on the effects of the hydrological network,
anthropogenic features, topographic complexity, and the heterogeneity of
the landcover patch mosaic. Overall, even accounting for specific local
differences, we found general landscape attributes associated with snow
leopard ecological requirements, consisting of a positive association
with uplands and ridges, aggregated low-contrast landscapes, and large
extents of grassy and herbaceous vegetation. As a means to evaluate the
performance of two bias correction methods, we explored their effects on
three datasets showing a range of bias intensities. The performance of
corrections depends on the bias intensity; however, density kernels
offered a reliable correction strategy under all circumstances. This
study reveals the multi-scale response of snow leopards to environmental
attributes and confirms the role of meta-replicated study designs for
the identification of spatially varying limiting factors. Furthermore,
this study makes important contributions to the ongoing discussion about
the best approaches for sampling bias correction.

Abstract: Research concerning movement patterns of wild animals has been advancing since GPS technology arrived. But studying the snow leopard (Panthera uncia) is still difficult because of the harsh territory it inhabits in Central Asia. This study took place in south Gobi, Mongolia, and aimed to estimate the time spent at kills and the maximum distance away from kills between visits. Snow leopards were monitored with GPS collars that took a location every five or seven hours. Potential kill sites were established by identifying clusters of GPS-locations in ArcGIS and visited in the field for confirmation. ArcGIS was used to calculate the distance between cluster and GPS-locations. I used two buffer zones (100 m and 500 m radius) to define the time snow leopards spent at kills. It was found that snow leopard age and prey category affected time spent at kills and also that snow leopard sex together with prey category affected the maximum distance moved away from kills between visits. Season had no significant effect on either time at kills or distance moved away from kills between visits. Snow leopards spent on average 3.2 days at their kills in the 100 m buffer zone and 3.5 days at their kills in the 500 m buffer zone. Subadults stayed longer at kills than adults and animals of both age categories spent longer time on larger prey. The mean maximum distance moved away from kills between visits was 179 m in the 100 m buffer zone and 252 m in the 500 m buffer zone. Female snow leopards moved further away from kills between visits than male snow leopards. Both the number of days spent on kills and maximum distance moved away from kills between visits increased when kills consisted of more than one animal. This study has provided some basic information on snow leopard behaviors around their kills but also highlights the need to monitor more snow leopards before more solid conclusions can be drawn as this study was based on based on a relatively small sample.

Abstract: Since 1999, NABU, the German Society for Nature Conservation, has been organizing the conservation of snow leopards Uncia uncia in Kyrgyzstan in an international project in cooperation with the Kyrgyz Ministry of the Environment, Emergencies and Civil Defence and the Kyrgyz Ministry of the Interior. The animal, with its typical grey-beige patterned fur and bushy tail, is one of the most endangered big cats in the world. It is categorized as Endangered on the 2000 IUCN Red List and is on CITES Appendix I.