Abstract: The snow leopard (Panthera uncia Schreber, 1776) population in Russia and Mongolia is situated at the northern edge of the range, where instability of ecological conditions and of prey availability may serve as prerequisites for demographic instability and, consequently, for reducing the genetic diversity. Moreover, this northern area of the species distribution is connected with the western and central parts by only a few small fragments of potential habitats in the Tian-Shan spurs in China and Kazakhstan. Given this structure of the range, the restriction of gene flow between the northern and other regions of snow leopard distribution can be expected. Under these conditions, data on population genetics would be extremely important for assessment of genetic diversity, population structure and gene flow both at regional and large-scale level. To investigate large-scale and fine-grain population structure and levels of genetic diversity we analyzed 108 snow leopards identified from noninvasively collected scat samples from Russia and Mongolia (the northern part of the range) as well as from Kyrgyzstan and Tajikistan (the western part of the range) using panel of eight polymorphic microsatellites. We found low to moderate levels of genetic diversity in the studied populations. Among local habitats, the highest heterozygosity and allelic richness were recorded in Kyrgyzstan (He = 0.66 ± 0.03, Ho = 0.70 ± 0.04, Ar = 3.17) whereas the lowest diversity was found in a periphery subpopulation in Buryatia Republic of Russia (He = 0.41 ± 0.12, Ho = 0.29 ± 0.05, Ar = 2.33). In general, snow leopards from the western range exhibit greater genetic diversity (He = 0.68 ± 0.04, Ho = 0.66 ± 0.03, Ar = 4.95) compared to those from the northern range (He = 0.60 ± 0.06, Ho = 0.49 ± 0.02, Ar = 4.45). In addition, we have identified signs of fragmentation in the northern habitat, which have led to significant genetic divergence between subpopulations in Russia. Multiple analyses of genetic structure support considerable genetic differentiation between the northern and western range parts, which may testify to subspecies subdivision of snow leopards from these regions. The observed patterns of genetic structure are evidence for delineation of several management units within the studied populations, requiring individual approaches for conservation initiatives, particularly related to translocation events. The causes for the revealed patterns of genetic structure and levels of genetic diversity are discussed.

Abstract: Snow leopards (Panthera uncia) are a keystone species of Central Asia’s high mountain ecosystem. The species is listed as vulnerable and is elusive, preventing accurate population assessments that could inform conservation actions. Non-invasive genetic monitoring conducted by citizen scientists offers avenues to provide key data on this species that would otherwise be inaccessible. From 2011 to 2015, OSI-Panthera citizen science expeditions tracked signs of presence of snow leopards along transects in the main valleys and crests of the Sarychat-Ertash State Reserve (Kyrgyzstan). Scat samples were genotyped at seven autosomal microsatellite loci and at a X/Y locus for sex identification, which allowed estimating a minimum of 11 individuals present in the reserve from 2011 to 2015. The genetic recapture of 7 of these individuals enabled diachronic monitoring, providing indications of individuals’ movements throughout the reserve. We found putative family relationships between several individuals. Our results demonstrate the potential of this citizen science program to get a precise description of a snow leopard population through time.

Abstract: Presence of snow leopard (Uncia uncia) in Langtang National Park was obscure till 2003. It was confirmed by a
research team trained for the wildlife biology in the field. Along with the study of ecology and behavior of snow leopard sufficient effort were made to generate data on pre species. The study also dealt with threat perceived for the leopard survival while basic unit of conservation- local outreach programs were also initiated.

Abstract: The snow leopard is an endangered large felid inhabiting highlands of 12 Asian countries. It is distributed
across vast territories and adequate modern methods are required for mapping its potential habitats. The goal
of the present study is to create a model of snow leopard potential habitat within the northern part of its range
in Russia (and adjacent territories of Mongolia, China and Kazakhstan). More than 5 years of observations
(total number of presence points = 449), environmental variables and the maximum entropy distribution
method (Maxent) are used. The resulting map demonstrates that a suitable habitat (probability of the animal�s
presence between 0.5 and 1) of the northern population of snow leopard in Russia occupies 16500 km2
with a buffer of transient territories (probability between 0.25 and 0.49) covering 32800 km2. Most of a suitable
habitat within the study area is associated with the Altai Mountains, Western Sayan Mountains, Sangilen
Plateau, Tsagan-Shibetu and Shapshal. One third of the suitable habitat lies within areas of a varying protection
status. The results of modeling are of importance both for scientists and conservation managers, as they
allow for leopard occurrence to be predicted, supporting research on and the conservation of the species.

Abstract: Illegal trade in snow leopards (Panthera uncia) has been identified as one of the major
threats to long-term survival of the species in the wild. To quantify severity of the threats
to dwindling snow leopard population, we examined market and questionnaire surveys,
and information from the published and unpublished literature on illegal trade and
poaching of snow leopards.We collected information from 11 of the 12 snow leopard range
counties in central and southern Asia, barring Kazakhstan, and reported 439 snow leopards
(88 records) in illegal trade during 2003e2014, which represents a loss of approximately
8.4%e10.9% snow leopard population (assuming mid-point population of 5240 to
minimum population of 4000 individuals) in a period of 12 years. Our data suggested a 61%
decadal increase in snow leopard trade during 2003e2012 compared with 1993e2002,
while taking the note of significant strengthening of wildlife enforcement and crime
control network in the decades of 2000s and 2010s. We found 50% prosecution rate of
snow leopard crimes resulting in only 20% conviction rate globally. Many limitations e.g.,
secretive nature of illegal trade, ill developed enforcement mechanism, poor and passive
documentation of snow leopards' seizures, restricted us to reflect actual trend of snow
leopards' illegal trade. Even on a conservative scale the present situation is alarming and
may detrimental to snow leopard conservation. We propose an effective networking of
enforcement efforts and coordination among the law enforcement agencies, efficient
collection of data and data management, and sharing of intelligence in snow leopard range
countries, could be useful in curbing illegal trade in snow leopards in central and southern
Asia.