Abstract: Polar bears (Ursus maritimus), Eurasian lynx (Lynx lynx) and snow leopards (Panthera uncia) are elusive large carnivores inhabiting snow-covered and remote areas. Their effective conservation and management are challenged by inadequate population information, necessitating development of novel data collection methods. Environmental DNA (eDNA) from snow tracks (footprints in snow) has identified species based on mitochondrial DNA, yet its utility for individual-based analyses remains unsolved due to challenges accessing the nuclear genome. We present a protocol for capturing nuclear eDNA from polar bear, Eurasian lynx and snow leopard snow tracks and verify it through genotyping at a selection of microsatellite markers. We successfully retrieved nuclear eDNA from 87.5% (21/24) of wild polar bear snow tracks, 59.1% (26/44) of wild Eurasian lynx snow tracks, and the single snow leopard sampled. We genotyped over half of all wild polar bear samples (54.2%, 13/24) at five loci, and 11% (9/44) of wild lynx samples and the snow leopard at three loci. Genotyping success from Eurasian lynx snow tracks increased to 24% when tracks were collected by trained rather than untrained personnel. Thirteen wild polar bear samples comprised 11 unique genotypes and two identical genotypes; likely representing 12 individual bears, one of which was sampled twice. Snow tracks show promise for use alongside other non-invasive and conventional methods as a reliable source of nuclear DNA for genetic mark-recapture of elusive and threatened mammals. The detailed protocol we present has utility for broadening end user groups and engaging Indigenous and local communities in species monitoring.

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: The distribution and status of large mammals was surveyed in a 15 000 km2 study area in Ladakh, India. Snow leopard Panthera uncia, wolf Canis lupus, ibex Capra ibex and bharal Pseudois nayaur have an almost continuous distribution throughout; Ladakh urial Ovis vignei, Tibetan argali Ovis ammon, wild ass Equus kiang and brown bear Ursus arctos have a limited distribution. Snow leopard prefer lower altitudes and rocky, undisturbed areas. Ibex and bharal occupy similar rocky habitats but their ranges are mostly separate, with a small area of overlap. The Ladakh urial shows signs of recovery from an earlier decline. Natural resources are widely used for fuel, fodder and grazing, but favourable factors include a low human population, low level of hunting and the existence of some uninhabited and undisturbed areas. A comprehensive Protected Area Network has been proposed.

Abstract: The cycle of livestock depredation and retaliatory killing constitutes a major threat to large carnivores worldwide and imposes considerable hardships on human communities. Mitigation efforts are often undertaken with little knowledge of ecological underpinnings and patterns of depredation, limiting conservationists' ability to develop, prioritize, and evaluate solutions. Carnivore detection and depredation data from interviews in affected communities may help address this gap, but such data are often prone to false-positive uncertainty. To address these challenges in the Pamir Mountains of Tajikistan we collected snow leopard, lynx, wolf, and bear detection and depredation reports from local communities via semi-structured interviews. We used a novel hierarchical multi-species multi-state occupancy model that accounted for potential false-positives to investigate carnivore site use and depredation concurrently with respondents' apparent vulnerability to that risk. Estimated false-positive probabilities were small, but failure to account for them overstated site use probabilities and depredation risk for all species. Although individual vulnerability was low, depredation was nonetheless commonplace. Carnivore site use was driven by clear habitat associations, but we did not identify any clearly important large-scale spatial correlates of depredation risk despite considerable spatial variation in that risk. Respondents who sheltered livestock in household corrals reinforced with wire mesh were less likely to report snow leopard depredations. Reducing depredation and retaliation at adequately large scales in the Pamirs will likely require a portfolio of species-specific strategies, including widespread proactive corral improvements. Our approach expanded inference on the often-cryptic processes surrounding human-carnivore conflict even though structured wildlife data were scarce.

Abstract: Among zoogeographical discoveries of the frontier of XXI century there is nothing more interesting
than discoveries of Rodion Sivolobov in Western Beringia. Beringia has surprised us by
paleontological discoveries many centuries ago, and also surprised by modern one. Somehow they
came out of attention of all International environmental foundations and Academies of the world, as
if on purpose to show their professional incompetence. It is the only way to describe the
organization, not to notice the appearance of such big cats as the Snow leopard and Amur tiger for
5,000 kilometers from the border of main range, as well as large Pleistocene relict � the Irkuyembear.
All three endangered species of mammals found by Sivolobov in Koryakia and Chukotka, and
for the snow leopard he took the world's first photo in Beringia.
New facts suggests two things: (1) the ancient refuges of big cats locate to Koryakia and
Chukotka much closer of main ranges, (2) global warming, changing natural environment on the
waves of hundred-year rhythms, periodically pushing irbis and tiger on the ways of ancient
Beringian migrations stored in their genetic memories. Irkuyem is a contemporary of the mammoth.
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Unlike it, this bear lived up to our days, but remained undetected even by the large “mammoths” of
science.