Abstract: 1. Livestock depredation by large carnivores is an important conservation and economic concern
and conservation management would benefit from a better understanding of spatial variation
and underlying causes of depredation events. Focusing on the endangered snow leopard
Panthera uncia and the wolf Canis lupus, we identify the ecological factors that predispose
areas within a landscape to livestock depredation. We also examine the potential mismatch
between reality and human perceptions of livestock depredation by these carnivores whose
survival is threatened due to persecution by pastoralists.
2. We assessed the distribution of the snow leopard, wolf and wild ungulate prey through field
surveys in the 4000 km2 Upper Spiti Landscape of trans-Himalayan India. We interviewed local
people in all 25 villages to assess the distribution of livestock and peoples’ perceptions of the risk
to livestock from these carnivores. We monitored village-level livestock mortality over a 2-year
period to assess the actual level of livestock depredation. We quantified several possibly influential
independent variables that together captured variation in topography, carnivore abundance
and abundance and other attributes of livestock. We identified the key variables influencing livestock
depredation using multiple logistic regressions and hierarchical partitioning.
3. Our results revealed notable differences in livestock selectivity and ecological correlates of
livestock depredation – both perceived and actual – by snow leopards and wolves. Stocking
density of large-bodied free-ranging livestock (yaks and horses) best explained people’s threat
perception of livestock depredation by snow leopards, while actual livestock depredation was
explained by the relative abundance of snow leopards and wild prey. In the case of wolves,
peoples’ perception was best explained by abundance of wolves, while actual depredation by
wolves was explained by habitat structure.
4. Synthesis and applications. Our results show that (i) human perceptions can be at odds
with actual patterns of livestock depredation, (ii) increases in wild prey populations will intensify
livestock depredation by snow leopards, and prey recovery programmes must be accompanied
by measures to protect livestock, (iii) compensation or insurance programmes should
target large-bodied livestock in snow leopard habitats and (iv) sustained awareness
programmes are much needed, especially for the wolf.

Abstract: Against a background of recovering large carnivore populations in Norway, and many other areas of Europe, it is becoming increasingly important to develop methods to monitor their populations. A variety of parameters can monitored depending on objectives. These parameters include: presence/absense, distribution, population trend indices, minimum counts, statistical estimates of population size, reproductive parameters and health/condition. Three broad categories of monitoring techniques can be recognised each with increasing levels of fieldwork required. The first category includes those techniques that do not require original fieldwork. The second category involves fieldwork, but where individually recognisable carnivores are not available. The third category includes methods where fieldwork has recognisable individuals available. Different mehtods tend to have been used for different species, mainly because of limitations imposed by the different species' ecology. The most precise estimates of population size have been obtained in research projects with relatively small study sites and with the help of radio-telemetry. However, it may be difficult, or impossible, to apply these methods over large monitoring areas. Therefore, in terms of practical management, a combination of minimum counts, supported by an independent index may be more useful than statistical population estimates. All methods should be subject to a careful design process, and power analysis should be conducted to determine the sensitivity of the method to detect changes.
Based on the review of over 200 papers and reports we recommend a package of complementary monitoring methods for brown bear, wolverine, lynx and wolf in Norway. These include the use of observations from the public and reports of predation on livestock to determine broad patterns of distribution, and an index based on hunter observations per hunting day, for all four species. Minimum counts of reproductive units, natal dens, family groups, and packs, should be obtained from snow-tracking for wolverines, lynx and wolves respectively. In addition a track-count index should be obtained for wolverines and lynx. As much data as possible should be obtained of lynx and wolvereines killed in the annual harvest. Brown bears will be difficult to monitor without the use of radio-telemetry, therfore they may require periodic telemetry based, mark-recapture studies. Such a program can easily be constructed within existing central and regional wildlife management structures, but will require extensive involvement from hunters.

Abstract: Among species included in the Red Data Book of the USSR, predators occupy the first place; of them, unconditional leadership belongs the cat family species. Nine of eleven species of the family are referred to as rare and endangered ones. In the past snow leopard (Uncia uncia) inhabited all mountains on the south of the USSR from Tien Shan and Pamir to Transbaikalia. Now it no longer inhabits many of its previous habitats and has become rare, everywhere. Its total population in the USSR is no more than 1000 animals. At the beginning of XX century there were cases that such an amount of snow leopard (i.e. 1,000) was hunted during one year. Until recently, hunting the species was allowed all year round and even encouraged.

Abstract: An understanding of local perceptions of carnivores is
important for conservation and management planning. In the central
Himalayas, Nepal, we interviewed 428 individuals from 85 settlements
using a semi-structured questionnaire to quantitatively assess local
perceptions and tolerance of snow leopards and wolves. We used
generalized linear mixed effect models to assess influential factors,
and found that tolerance of snow leopards was much higher than of
wolves. Interestingly, having experienced livestock losses had a minor
impact on perceptions of the carnivores. Occupation of the respondents
had a strong effect on perceptions of snow leopards but not of wolves.
Literacy and age had weak impacts on snow leopard perceptions, but the
interaction among these terms showed a marked effect, that is, being
illiterate had a more marked negative impact among older respondents.
Among the various factors affecting perceptions of wolves, numbers of
livestock owned and gender were the most important predictors. People
with larger livestock herds were more negative towards wolves. In terms
of gender, males were more positive to wolves than females, but no such
pattern was observed for snow leopards. People’s negative perceptions
towards wolves were also related to the remoteness of the villages.
Factors affecting people’s perceptions could not be generalized for the
two species, and thus need to be addressed separately. We suggest future
conservation projects and programs should prioritize remote settlements.

Abstract: Conservation conflict over livestock depredation is one of the
key drivers of large mammalian carnivore declines worldwide. Mitigating
this conflict requires strategies informed by reliable knowledge of
factors influencing livestock depredation. Wild prey and livestock
abundance are critical factors influencing the extent of livestock
depredation. We compared whether the extent of livestock predation by
snow leopards Panthera uncia differed in relation to densities of wild
prey, livestock, and snow leopards at two sites in Shey Phoksundo
National Park, Nepal. We used camera trap-based spatially explicit
capture–recapture models to estimate snow leopard density;
double-observer surveys to estimate the density of their main prey
species, the blue sheep Pseudois nayaur; and interview-based household
surveys to estimate livestock population and number of livestock killed
by snow leopards. The proportion of livestock lost per household was
seven times higher in Upper Dolpa, the site which had higher snow
leopard density (2.51 snow leopards per 100 km2) and higher livestock
density (17.21 livestock per km2) compared to Lower Dolpa (1.21 snow
leopards per 100 km2; 4.5 livestock per km2). The wild prey density was
similar across the two sites (1.81 and 1.57 animals per km2 in Upper and
Lower Dolpa, respectively). Our results suggest that livestock
depredation level may largely be determined by the abundances of the
snow leopards and livestock and predation levels on livestock can vary
even at similar levels of wild prey density. In large parts of the snow
leopard range, livestock production is indispensable to local
livelihoods and livestock population is expected to increase to meet the
demand of cashmere. Hence, we recommend that any efforts to increase
livestock populations or conservation initiatives aimed at recovering or
increasing snow leopard population be accompanied by better herding
practices (e.g., predator-proof corrals) to protect livestock from snow
leopard.