Abstract: Photo-identification of individual snow leopards (Panthera uncia) is the primary data source for density estimation via capture-recapture statistical methods. To identify individual snow leopards in camera trap imagery, it is necessary to match individuals from a large number of images from multiple cameras and historical catalogues, which is both time-consuming and costly. The camouflaged snow leopards also make it difficult for machine learning to classify photos, as they blend in so well with the surrounding mountain environment, rendering applicable software solutions unavailable for the species. To potentially make snow leopard individual identification available via an artificial intelligence (AI) software interface, we first trained and evaluated image classification techniques for a convolutional neural network, pose invariant embeddings (PIE) (a triplet loss network), and compared the accuracy of PIE to that of the HotSpotter algorithm (a SIFT-based algorithm). Data were acquired from a curated library of free-ranging snow leopards taken in Afghanistan between 2012 and 2019 and from captive animals in zoos in Finland, Sweden, Germany, and the United States. We discovered several flaws in the initial PIE model, such as a small amount of background matching, that was addressed, albeit likely not fixed, using background subtraction (BGS) and left-right mirroring (LR) techniques which demonstrated reasonable accuracy (Rank 1: 74% Rank-5: 92%) comparable to the Hotspotter results (Rank 1: 74% Rank 2: 84%)The PIE BGS LR model, in conjunction with Hotspotter, yielded the following results: Rank-1: 85%, Rank-5: 95%, Rank-20: 99%. In general, our findings indicate that PIE BGS LR, in conjunction with HotSpotter, can classify snow leopards more accurately than using either algorithm alone.

Abstract: Monitoring Techniques Forest leopards have never been systematically surveyed in African forests, in spite of their potentially vital ecological role as the sole large mammalian predators in these systems. Because leopards are rarely seen in this habitat, and are difficult to survey using the most common techniques for assessing relative abundances of forest mammals, baseline knowledge of leopard ecology and responses to human disturbance in African forests remain largely unknown. This technical handbook sums up the experience gained during a two-year study of leopards by Philipp Henschel in the Lop‚ Reserve in Gabon, Central Africa, in 2001/2002, supplemented by additional experience from carnivore studies conducted by Justina Ray in southwestern Central African Republic and eastern Congo (Zaire) . The main focus of this effort has been to develop a protocol that can be used by fieldworkers across west and central Africa to estimate leopard densities in various forest types. In developing this manual, Henschel tested several indirect methods to assess leopard numbers in both logged and unlogged forests, with the main effort devoted to testing remote photography survey methods developed for tigers by Karanth (e.g., Karanth 1995, Karanth & Nichols 1998; 2000; 2002), and modifying them for the specific conditions characterizing African forest environments. This handbook summarizes the results of the field testing, and provides recommendations for techniques to assess leopard presence/absence, relative abundance, and densities in African forest sites. We briefly review the suitability of various methods for different study objectives and go into particular detail on remote photography survey methodology, adapting previously developed methods and sampling considerations specifically to the African forest environment. Finally, we briefly discuss how camera trapping may be used as a tool to survey other forest mammals. Developing a survey protocol for African leopards is a necessary first step towards a regional assessment and priority setting exercise targeted at forest leopards, similar to those carried out on large carnivores in Asian and South American forests.

Abstract: Kyrgyzstan is a land of towering mountains, glaciers, rushing streams, wildflowercovered meadows, forests, snow leopards, soaring eagles, and yurt-dwelling nomads. The entire nation lies astride the Tian Shan1, Chinese for “Heavenly Mountains”, one of the world's highest mountain ranges, which is 7439 m (24,400 ft) in elevation at its highest point. The nation is the second smallest of the former Soviet Central Asian republics. In
spite of Kyrgyzstan's diverse wildlife and stunning natural beauty, the nation remains little known, and, as yet, still on the frontier of international conservation efforts. The following report is the product of 12 months of research into the state of conservation and land-use in Kyrgyzstan. This effort was funded by the Fulbright Commission of the U.S. State Department, and represents the most recent findings of the author's personal environmental journey through Inner Asia, which began in 1999. When I first started my preliminary research for this project, I was extremely surprised to learn that, even though the Tian Shan Range has tremendous ecological significance for conservation efforts in middle Asia, there wasn't a single major international conservation organization with an office in the former Soviet Central Asian republics. Even more surprising was how little awareness there is of conservation issues in the Tian Shan region amongst conservation workers in neighboring areas who are attempting to preserve similar species assemblages and ecosystems to those found in the Tian Shan. Given this lack of awareness, and the great potential for the international community to make a positive contribution towards improving the current state of biodiversity conservation in Kyrgyzstan and Central Asia, I have summarized my findings on protected areas and conservation in Kyrgyzstan and the Tian Shan of Kazakhstan, Uzbekistan, and Xinjiang in the chapters below. The report begins with some brief background information on geography and society in the Kyrgyz Republic, followed by an overview of biodiversity and the state of conservation in the nation, which at the present time closely parallels the state of conservation in the other former Soviet Central Asian republics. Part IV of the report provides a catalog of all major protected areas in Kyrgyzstan and the other Tian Shan nations, followed by a list of sites in Kyrgyzstan that are as yet unprotected but merit protection. In the appendices the reader will find fairly comprehensive species lists of flora and fauna found in the Kyrgyz Republic, including lists of mammals, birds, fish, reptiles, amphibians, trees and shrubs, wildflowers, and endemic plants. In addition, a
draft paper on the history and current practice of pastoral nomadism in Kyrgyzstan has been included in Appendix A. While the research emphasis for this study was on eastern Kyrgyzstan, over the course of the study the author did have the opportunity to make brief journeys to southern Kyrgyzstan, Uzbekistan, Kazakhstan, and Xinjiang. While falling short of being a definitive survey of protected areas of the Tian Shan, the informational review which
follows is the first attempt at bringing the details of conservation efforts throughout the entire Tian Shan Range together in one place. It is hoped that this summary of biodiversity and conservation in the Tian Shan will generate interest in the region amongst conservationists, and help increase efforts to protect this surprisingly unknown range that forms an island of meadows, rivers, lakes, and forests in the arid heart of Asia.

Abstract: In accordance with order of the Ministry of Nature and Tourism,
zoologists of our association have made surveys in three ways such as
reasons why snow leopards attack domestic animals, “Snow leopard” trial
operation to count them and illegal hunting in territories of Khovd,
Gobi-Altai, Bayankhongor, Uvurkhangai and Umnugobi provinces from
September 2009 to January 2010. As result of these surveys it has made
the following conclusions in the followings: Reason to hunt them illegally: the principal reason is that
administrative units have been increased and territories of
administrative units have been diminished. There have been four
provinces in 1924 to 1926, 18 since 1965, 21 since 1990. Such situation
limits movements of herdsmen completely and pastures digressed much than
ever before. As result of such situation, 70% of pastures become desert.
Such digression caused not only heads of animals and also number of
species. Guarantee is that birds such as owls, cuckoo, willow grouse in
banks of Uyert river, Burkhanbuudai mountain, located in Biger soum,
Gobi-Altai province, which are not hunted by hunters, are disappearing
in the recent two decades. For that reason we consider it is urgently
necessary for the government to convert administrative unit structures
into four provinces. This would influence herdsmen moving across
hundreds km and pastures could depart from digression.
Second reason: cooperative movement won. The issues related to management and strengthening of national
cooperatives, considered by Central Committee of Mongolian People's
Revolutionary Party in the meeting in March 1953 was the start of
cooperatives' movement. Consideration by Yu. Tsedenbal, chairman of
Ministers Council, chairman of the MPRP, on report "Result of to unify
popular units and some important issues to maintain entity management of
agricultural cooperatives" in the fourth meeting by the Central
Committee of Mongolian People's Revolutionary Party /MPRP/ on December
16-17, 1959, proclaimed complete victory of cooperative. At the end of
1959, it could unify 767 small cooperative into 389 ones, unify 99.3 %
of herdsmen and socialize 73.3 % of animals. The remaining of animals
amount 6 million 163 thousands animals, and equals to 26.7% of total
animals. This concerned number of animals related to the article
mentioned that every family should have not more that 50 animals in
Khangai zone and not more 75 animals in Gobi desert. It shows that such
number could not satisfy needs of family if such number is divided into
five main animals in separating with reproduction animals and adult
animals. So herdsmen started hunt hoofed animals secretly and illegally
in order to satisfy their meat needs. Those animals included main food
of snow leopard such as ibex, wild sheep, and marmot. Third reason is that the state used to hunt ibex, which are main
nutrition of snow leopards, every year. The administrative unit of the
soum pursued policy to hunt ibex in order to provide meat needs of
secondary schools and hospitals. That's why this affected decrease of
ibex population. Preciously from 1986 to 1990 the permissions to hunt
one thousands of wild sheep and two thousands of ibexes were hunt for
domestic alimentary use every year. Not less than 10 local hunters of every soum used to take part in big
game of ibexes. Also they hunted many ibexes, chose 3-10 best ibexes and
hid them in the mountains for their consummation during hunting.
Fourth reason: hunting of wolves. Until 1990 the state used to give
prizes to hunter, who killed a wolf in any seasons of the year. Firstly
it offered a sheep for the wolf hunter and later it gave 25 tugrugs /15
USD/. Every year, wolf hunting was organized several times especially
picking wolf-cubs influenced spread and population of wolves. So snow
leopard came to the places where wolves survived before and attack
domestic animals. Such situation continued until 1990. Now population of
ibexes has decreased than before 1990 since the state stopped hunting
wolves, population of wolves increased in mountainous zones. We didn't
consider it had been right since it was natural event. However
population of ibexes decreased. Fifth reason: Global warming. In recent five years it has had a drought
and natural disaster from excessive snow in the places where it has
never had such natural disasters before. But Mongolia has 40 million
heads of domestic animals it has never increased like such quantity in
its history before. We consider it is not incorrect that decrease of
domestic animals could give opportunities to raise population of wild
animals. Our next survey is to make attempt to fix heads of snow leopards
correctly with low costs.

Abstract: I studied snow leopards (Panthera uncia) and blue sheep (Pseudois nayaur) in Manang District, Annapurna Conservation Area, Nepal, to estimate numbers and analyze predator-prey interactions. Five to seven adult leopards used the 10-5-km-2 study area, a density of 4.8 to 6.7 leopards/100 km-2. Density of blue sheep was 6.6 10.2 sheep/km-2, and biomass density was 304 kg/km-2. Estimated relative biomass consumed by snow leopards suggested that blue sheep were the most important prey; marmots (Marmota himalayana) also contributed significantly to the diel of snow leopards Snow leopards in Manang were estimated to harvest 9-20% of total biomass and 11-24% of total number of blue sheep annually. Snow leopard: blue sheep ratio was 1:114-1:159 on a weight basis, which was considered sustainable given the importance of small mammals in the leopard's diet and the absence of other competing predators.