Abstract: Poaching in Russia has been reported to be of catastrophic proportions and threatens
maintenance of biodiversity. Management of game species has stabilized some numbers,
but both endangered species listed in the Russian Red Book and animals traditionally
viewed as hunting prey are diminishing in some regions. Rank-and-file
hunters, increasingly shut off from access to hunting grounds, have expressed a negative
reaction to new hunting regulations adopted by the Russian government in 2012.
While high-profile poaching incidents by so-called “VIP hunters” do not apparently
make up a large portion of cases, the symbolism of the alleged crimes has a derogatory
impact on ordinary hunters because lawlessness is reinforced by perceptions of
impunity for elite poachers.

Abstract: Pakistan’s total estimated snow leopard habitat is about
80,000 km2 of which about half is considered prime habitat. However,
this preliminary demarcation was not always in close agreement with the
actual distribution the discrepancy may be huge at the local and
regional level. Recent technological developments like camera trapping
and molecular genetics allow for collecting reliable presence records
that could be used to construct realistic species distribution based on
empirical data and advanced mathematical approaches like MaxEnt. The
current study followed this approach to construct an accurate
distribution of the species in Pakistan. Moreover, movement corridors,
among different landscapes, were also identified through circuit theory.
The probability of habitat suitability, generated from 98 presence
points and 11 environmental variables, scored the snow leopard’s assumed
range in Pakistan, from 0 to 0.97. A large portion of the known range
represented low-quality habitat, including areas in lower Chitral, Swat,
Astore, and Kashmir. Conversely, Khunjerab, Misgar, Chapursan, Qurumber,
Broghil, and Central Karakoram represented high-quality habitats.
Variables with higher contributions in the MaxEnt model were
precipitation during the driest month (34%), annual mean temperature
(19.5%), mean diurnal range of temperature (9.8%), annual precipitation
(9.4%), and river density (9.2). The model was validated through
receiver operating characteristic (ROC) plots and defined thresholds.
The average test AUC in Maxent for the replicate runs was 0.933 while
the value of AUC by ROC curve calculated at 0.15 threshold was 1.00.
These validation tests suggested a good model fit and strong predictive
power. The connectivity analysis revealed that the population in the
Hindukush landscape appears to be more connected with the population in
Afghani- stan as compared to other populations in Pakistan. Similarly,
the Pamir-Karakoram population is better connected with China and
Tajikistan, while the Himalayan population was connected with the
population in India. Based on our findings we propose three model
landscapes to be considered under the Global Snow Leopard Ecosystem
Protection Program (GSLEP) agenda as regional priority areas, to
safeguard the future of the snow leopard in Pakistan and the region.
These landscapes fall within mountain ranges of the Himalaya, Hindu Kush
and Karakoram-Pamir, respectively. We also identified gaps in the
existing protected areas network and suggest new protected areas in
Chitral and Gilgit-Baltistan to protect critical habitats of snow
leopard in Pakistan.

Abstract: Reliable assessments of animal abundance are key for successful conservation of endangered species. For elusive animals with individually-unique markings, camera-trap surveys are a benchmark standard for estimating local and global population abundance. Central to the reliability of resulting abundance estimates is the assumption that individuals are accurately identified from photographic captures. To quantify the risk of individual misidentification and its impact on population abundance estimates we performed an experiment under controlled conditions in which 16 captive snow leopards (Panthera uncia) were camera-trapped on 40 occasions and eight observers independently identified individuals and recaptures. Observers misclassified 12.5% of all capture occasions, resulting in systematically inflated population abundance estimates on average by one third (mean ± SD = 35 ± 21%). Our results show that identifying individually-unique individuals from camera-trap photos may not be as reliable as previously believed, implying that elusive and endangered species could be less abundant than current estimates indicate.

Abstract: East Pamir is a transitive zone on border Tibetan, East Tien Shan, Western Tien Shan, Himalaya and Afghani fauna and is characterized by low diversity of mammals. Ungulates of east part are presented: Ivis dŒlii Š ¥…dr… sibirica s…k††n. Predators are presented ¥…nis lŠdŠs laniger (Tibetan subspecies); Vulpes vulpes ferganensis, IŠstela alpina alpina, IŠstela †r•inea ferganae, IŠst†l… nivalis d…llid…, I…rt†s foina, F†lis 1¢‹o iz…b†lli‹…, U‹ci… Š‹ci… Š‹cia (Central Asian and South Asian spp.); Ursus …r¤tŒs …ff. s¢riacus, I†l†s •†l†s, LŠtr… lutr… seistanica (South West Asian species). East Bukhara (Turkestan, Zeravshan, Hissar, Peter the Great, Darvaza, etc., and also the Western Pamir) is characterized by presence of representatives of the Indo-Afghani fauna (Capra falconeri, Ovis vignei, Cervus affinis, Mellivora indica (?), Vulpes canus, Otonycteris hemprichi, Nesokia indica, Rattus turkestanicus), Southwest Asia fauna (Felis pardus tulliana, Felis tigris septentrionalis, Canis aureus aureus, Lutra lutra seistanica, Hyaena hyaena), as well as species of widely distrebuted within the Southern and Southwest Asia (Felis ornata, Felis chaus, Vormela peregusna, Maries foina, Mustela nivalis, Ursus arctos syriacus, Hystrix hirsutirostris), or Central Asian species (Felis lynx isabelina, Mustela alpina, Mustela erminea, Otocolobus manul, Vulpes vulpes karagan Š „d.). Endemics of East Bukhara are Microtus carruthersi, Microtus bucharensis, Sorex bucharensis.