Abstract: Predators have significant ecological impacts on the region's prey-predator dynamic and community structure through their numbers and prey selection. During April-December 2007, I conducted a research in Sagarmatha (Mt. Everest) National Park (SNP) to: i) explore population status and density of wild prey species; Himalayan tahr, musk deer and game birds, ii) investigate diet of the snow leopard and to estimate prey selection by snow leopard, iii) identify the pattern of livestock depredation by snow leopard, its mitigation, and raise awareness through outreach program, and identify the challenge and opportunities on conservation snow leopard and its co-existence with wild ungulates and the human using the areas of the SNP. Methodology of my research included vantage points and regular monitoring from trails for Himalayan tahr, fixed line transect with belt drive method for musk deer and game birds, and microscopic hair identification in snow leopard's scat to investigate diet of snow leopard and to estimate prey selection. Based on available evidence and witness accounts of snow leopard attack on livestock, the patterns of livestock depredation were assessed. I obtained 201 sighting of Himalayan tahr (1760 individuals) and estimated 293 populations in post-parturient period (April-June), 394 in birth period (July -October) and 195 November- December) in rutting period. In average, ratio of male to females was ranged from 0.34 to 0.79 and ratio of kid to female was 0.21-0.35, and yearling to kid was 0.21- 0.47. The encounter rate for musk deer was 1.06 and density was 17.28/km2. For Himalayan monal, the encounter rate was 2.14 and density was 35.66/km2. I obtained 12 sighting of snow cock comprising 69 individual in Gokyo. The ratio of male to female was 1.18 and young to female was 2.18. Twelve species (8 species of wild and 4 species of domestic livestock) were identified in the 120 snow leopard scats examined. In average, snow leopard predated most frequently on Himalayan tahr and it was detected in 26.5% relative frequency of occurrence while occurred in 36.66% of all scats, then it was followed by musk deer (19.87%), yak (12.65%), cow (12.04%), dog (10.24%), unidentified mammal (3.61%), woolly hare (3.01%), rat sp. (2.4%), unidentified bird sp. (1.8%), pika (1.2%), and shrew (0.6%) (Table 5.8 ). Wild species were present in 58.99% of scats whereas domestic livestock with dog were present in 40.95% of scats. Snow leopard predated most frequently on wildlife species in three seasons; spring (61.62%), autumn (61.11%) and winter (65.51%), and most frequently on domestic species including dog in summer season (54.54%). In term of relative biomass consumed, in average, Himalayan tahr was the most important prey species contributed 26.27% of the biomass consumed. This was followed by yak (22.13%), cow (21.06%), musk deer (11.32%), horse (10.53%), wooly hare (1.09%), rat (0.29%), pika (0.14%) and shrew (0.07%). In average, domestic livestock including dog were contributed more biomass in the diet of snow leopard comprising 60.8% of the biomass consumed whilst the wild life species comprising 39.19%. The annual prey consumption by a snow leopard (based on 2 kg/day) was estimated to be three Himalayan tahr, seven musk deer, five wooly hare, four rat sp., two pika, one shrew and four livestock. In the present study, the highest frequency of attack was found during April to June and lowest to July to November. The day of rainy and cloudy was the more vulnerable to livestock depredation. Snow leopard attacks occurred were the highest at near escape cover such as shrub land and cliff. Both predation pressure on tahr and that on livestock suggest that the development of effective conservation strategies for two threatened species (predator and prey) depends on resolving conflicts between people and predators. Recently, direct control of free – ranging livestock, good husbandry and compensation to shepherds may reduce snow leopard – human conflict. In long term solution, the reintroduction of blue sheep at the higher altitudes could also “buffer” predation on livestock.

Abstract: Kulbhushansingh Suryawanshi shares an update on his blog which describes snow leopard sightings in Spiti, Himachal Pradesh, while studying the foraging behavior and eating habits of blue sheep (Pseudois nayaur).

Abstract: Lean season foraging strategies are critical for the survival of species inhabiting highly seasonal environments
such as alpine regions. However, inferring foraging strategies is often difficult because of
challenges associated with empirically estimating energetic costs and gains of foraging in the field. We
generated qualitative predictions for the relationship between daily winter foraging time, body size and
forage availability for three contrasting foraging strategies including time minimization, energy intake
maximization and net energy maximization. Our model predicts that for animals employing a time
minimization strategy, daily winter foraging time should not change with body size and should increase
with a reduction in forage availability. For energy intake maximization, foraging time should not vary
with either body size or forage availability. In contrast, for a net energy maximization strategy, foraging
time should decrease with increase in body size and with a reduction in forage availability. We contrasted
proportion of daily time spent foraging by bharal, Pseudois nayaur, a dimorphic grazer, across
different body size classes in two high-altitude sites differing in forage availability. Our results indicate
that bharal behave as net energy maximizers during winter. As predicted by the net energy maximization
strategy, daily winter foraging time of bharal declined with increasing body size, and was lower in the
site with low forage availability. Furthermore, as predicted by our model, foraging time declined as the
winter season progressed. We did not find support for the time minimizing or energy intake maximizing
strategies. Our qualitative model uses relative rather than absolute costs and gains of foraging which are
often difficult to estimate in the field. It thus offers a simple way to make informed inferences regarding
animal foraging strategies by contrasting estimates of daily foraging time across gradients of body size
and forage availability.

Abstract: Translocations are an important tool for the conservation
of biodiversity, but although ecological feasibility
studies are frequently conducted prior to implementation,
social feasibility studies that consider how local communities
perceive such projects are less common. The translocation
of blue sheep Pseudois nayaur to Sagarmatha National
Park, Nepal, has been proposed, to reduce livestock depredation
by snow leopards Panthera uncia by providing an alternative
prey base in addition to the small population of
Himalayan thar Hemitragus jemlahicus. This study used
systematic sampling, a quantitative questionnaire and qualitative
interviews within the Park to provide data on the social
viability of the proposed translocation. Quantitative
analysis revealed moderate levels of support but qualitative
analysis suggested that there are significant concerns about
the proposal. In addition,multiple regression analysis found
that women and livestock owners were significantly less
supportive, although the model had low explanatory
power. Potential crop damage and competition for forage
were frequently cited as concerns, especially amongst
those with a high level of dependence on natural resources.
Given the mixed response to the proposed translocation of
blue sheep to the Everest region, alleviating the reservations
of local residents is likely to be key to any further consultation,
planning or implementation.

Abstract: This study was undertaken in spring, 2019 to assess the applicability of the double-observer survey method for estimating blue sheep Pseudois nayaur abundance in Nar-Phu valley of Manang District located in Annapurna Conservation Area of northern Nepal. Since counting large mammals in rugged mountain habitat poses a special challenge, we tested the efficacy of the double observer method for generating robust population estimates for this important protected area. The overall detection probability for observers (O1 and O2) was 0.94 and 0.91 for a total of 106 groups comprised of 2059 individual blue sheep. We estimated the area’s blue sheep population at 2070 (SE ± 168.77; 95% CI 2059–2405) for the 246.2 km2 of sampled habitat. We determined blue sheep to be widely distributed within the study area with a mean density of 8.4 individuals per km2 based on a total study area of 246.2 km2. We discuss demographic population structure and identify limitations when applying the double observer approach, along with recommending viewshed mapping for ensuring more robust density estimates of mountain-dwelling ungulates like blue sheep or ibex that inhabit extremely heterogeneous terrain which strongly influences sighting distances and overall animal detection rates.