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Jackson, R., & Fox, J. L. (2000). Report on Fifth Slims Training Workshop (Nepal) (Vol. xvii). Seattle: International Snow Leopard Trust.
Abstract: Nepal's snow leopards (Uncia uncia) are mostly found along the northern border with Tibet (China). The largest populations are in Dolpa, Mugu, Manang, and Myagdi Districts. Potential habitat totals about 30,000 square kilometers. Numbers are estimated at 300-500, but surveys are urgently needed to confirm this rough guess. Like elsewhere, the primary threats center on poaching, depletion of natural prey, livestock depredation and resultant retributive killing of snow leopards by herders, and the lack of public awareness and support for conserving snow leoaprds, especially among local herders.
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McCarthy, K., Fuller, T., Ming, M., McCarthy, T., Waits, L., & Jumabaev, K. (2008). Assessing Estimators of Snow Leopard Abundance (Vol. 72).
Abstract: The secretive nature of snow leopards (Uncia uncia) makes them difficult to monitor, yet conservation efforts require accurate and precise methods to estimate abundance. We assessed accuracy of Snow Leopard Information Management System (SLIMS) sign surveys by comparing them with 4 methods for estimating snow leopard abundance: predator:prey biomass ratios, capture-recapture density estimation, photo-capture rate, and individual identification through genetic analysis. We recorded snow leopard sign during standardized surveys in the SaryChat Zapovednik, the Jangart hunting reserve, and the Tomur Strictly Protected Area, in the Tien Shan Mountains of Kyrgyzstan and China. During June-December 2005, adjusted sign averaged 46.3 (SaryChat), 94.6 (Jangart), and 150.8 (Tomur) occurrences/km. We used
counts of ibex (Capra ibex) and argali (Ovis ammon) to estimate available prey biomass and subsequent potential snow leopard densities of 8.7 (SaryChat), 1.0 (Jangart), and 1.1 (Tomur) snow leopards/100 km2. Photo capture-recapture density estimates were 0.15 (n = 1 identified individual/1 photo), 0.87 (n = 4/13), and 0.74 (n = 5/6) individuals/100 km2 in SaryChat, Jangart, and Tomur, respectively. Photo-capture rates
(photos/100 trap-nights) were 0.09 (SaryChat), 0.93 (Jangart), and 2.37 (Tomur). Genetic analysis of snow leopard fecal samples provided minimum population sizes of 3 (SaryChat), 5 (Jangart), and 9 (Tomur) snow leopards. These results suggest SLIMS sign surveys may be affected by observer bias and environmental variance. However, when such bias and variation are accounted for, sign surveys indicate relative abundances similar to photo rates and genetic individual identification results. Density or abundance estimates based on capture-recapture or ungulate biomass did not agree with other indices of abundance. Confidence in estimated densities, or even detection of significant changes in abundance of snow leopard, will require more effort and better documentation.
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Mishra, C., Madhusudan, M. D., & Datta, A. (2006). Mammals of the high altitudes of western Arunachal Pradesh, eastern Himalaya: an assessment of threats and conservation needs (Vol. 40).
Abstract: The high altitudes of Arunachal Pradesh,India, located in the Eastern Himalaya biodiversity hotspot, remain zoologically unexplored and unprotected. We report results of recent mammal surveys in the high altitude habitats of western Arunachal Pradesh. A total of 35 mammal species (including 12 carnivores, 10 ungulates and 5 primates) were recorded, of which 13 are categorized as Endangered or Vulnerable on the IUCN Red List. One species of primate, the Arunachal macaque Macaca munzala, is new to science and the Chinese goral Nemorhaedus caudatus is a new addition to the ungulate fauna of the Indian subcontinent. We documented peoples' dependence on natural resources for grazing and extraction of timber and medicinal plants. The region's mammals are threatened by widespread hunting. The snow leopard Uncia uncia and dhole Cuon alpinus are also persecuted in retaliation for livestock depredation. The tiger Panthera tigris, earlier reported from the lower valleys, is now apparently extinct there, and range reductions over the last two decades are reported for bharal Pseudois nayaur and musk deer Moschus sp.. Based on mammal species richness, extent of high altitude habitat, and levels of anthropogenic disturbance, we identified a potential site for the creation of Arunachal's first high altitude wildlife reserve (815 km2). Community-based efforts that provide incentives for conservation-friendly practices could work in this area, and conservation awareness programmes are required, not just amongst the local communities and schools but for politicians, bureaucrats and the army.
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Mongolian Biosphere & Ecology Association. (2010). Mongolian Biosphere & Ecology Association Report March 2010.
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.
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Panwar, H. S. (1988). Report on the snow leopard research project of Wildlife Institute of India.
Abstract: Snow leopard survey conducted in Indian Himalayas between November 1985 and July 1986.
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Ming, M., Baowen, H., Yu, M., & McCarthy, T. (2010). Survey on Bird Species and Analysis on Bird Diversity in the Central Kunlun Mountains in the Early Winter. Arid Zone Research, 27(2), 227–232.
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The Snow Leopard Conservancy. (2002). A Survey of Kathmandu-based Trekking Agencies: Market Opportunities for Linking Community-Based Ecotourism with the Conservation of Snow Leopard in the Annapurna Conservation Area. Report prepared for WWF-Nepal Programme (Vol. SLC Field Series Document No. 4). Los Gatos, California.
Abstract: In 2001 the King Mahendra Trust for Nature Conservation (KMTNC), Annapurna Conservation Area (ACAP), Snow Leopard Conservancy (SLC) and WWF-Nepal initiated a collaborative project aimed at enhancing ecotourism in the Manang area, in ways that strengthen benefits to local communities while also protecting the environment and the local culture. Manang is known for its relatively dense snow leopard population, along with supporting good numbers of blue sheep, the endangered cat's principal prey through much of the Himalaya. However, snow leopards periodically kill many livestock, leading to retributive killing by herders along with other associated people-wildlife conflict. In order to encourage the local people to better co-exist with snow leopards and other wildlife, SLC, WWF-Nepal and ACAP agreed to explore ways of providing tourism benefits to local communities as an incentive to protect this rare predator and conserve its alpine habitat. Key in this regard is the possibility of developing locally guided nature treks, and accordingly, this survey was conducted in order to assess existing market opportunities and constraints to such ecotourism enterprise.
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Slifka, K., Stacewicz-Sapuntzakis, S. M., Bowen, P., & Crissey, S. (1999). A Survey of Serum and Dietary Carotenoids in Captive Wild Animals. The Journal of Nutrition, 129, 380–390.
Abstract: Accumulation of carotenoids varies greatly among animal species and is not fully characterized.
Circulating carotenoid concentration data in captive wild animals are limited and may be useful for their management.
Serum carotenoid concentrations and dietary intakes were surveyed and the extent of accumulation
categorized for 76 species of captive wild animals at Brookfield Zoo. Blood samples were obtained opportunistically
from 275 individual animals immobilized for a variety of reasons; serum was analyzed for a- and b-carotene,
lutein 1 zeaxanthin, lycopene, b-cryptoxanthin and canthaxanthin. Total carotenoid content of diets was calculated
from tables and chemical analyses of commonly consumed dietary components. Diets were categorized as
low, moderate or high in carotenoid content as were total serum carotenoid concentrations. Animals were
classified as unknown, high, moderate or low (non-) accumulators of dietary cartenoids. Nonaccumulators had total
serum carotenoid concentrations of 0-101 nmol/L, whereas accumulators had concentrations that ranged widely,
from 225 to 35,351 nmol/L. Primates were uniquely distinguished by the widest range of type and concentration
of carotenoids in their sera. Most were classified as high to moderate accumulators. Felids had high accumulation
of b-carotene regardless of dietary intake, whereas a wide range of exotic birds accumulated only the xanthophylls,
lutein 1 zeaxanthin, canthaxanthin or cryptoxanthin. The exotic ungulates, with the exception of the bovids, had
negligible or nondetectable carotenoid serum concentrations despite moderate intakes. Bovids accumulated only
b-carotene despite moderately high lutein 1 zeaxanthin intakes. Wild captive species demonstrated a wide variety
of carotenoid accumulation patterns, which could be exploited to answer remaining questions concerning carotenoid
metabolism and function.
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Jackson, R., Roe, J., Wangchuk, R., & Hunter, D. (2005). Camera-Trapping of Snow Leopards. Cat News, 42(Spring), 19–21.
Abstract: Solitary felids like tigers and snow leopards are notoriously difficult to enumerate, and indirect techniques like pugmark surveys often produce ambiguous information that is difficult to interpret because many factors influence marking behavior and frequency (Ahlborn & Jackson 1988). Considering the snow leopard's rugged habitat, it is not surprising then that information on its current status and occupied range is very limited. We adapted the camera-trapping techniques pioneered by Ullas Karanth and his associates for counting Bengal tigers to the census taking of snow leopards in the Rumbak watershed of the India's Hemis High Altitude National Park (HNP), located in Ladakh near Leh (76ø 50' to 77ø 45' East; 33ø 15' to 34ø 20'North).
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The Snow Leopard Conservancy. (2001). Visitor Attitude and Market Survey for Planning Community-based Tourism Initiatives in Rural Ladakh (Vol. SLC Field Series Document No. 2.). Los Gatos, California.
Abstract: Bounded by two of the world's highest mountain ranges, the Great Himalaya and the Karakoram, Ladakh is a land of exhilarating mountain landscapes, rocky gorges and a unique cultural heritage. It is also home to distinctive wildlife such as the snow leopard, blue sheep and Tibetan wild ass, all living in a unique high altitude desert ecosystem. Not surprisingly, Ladakh is becoming a sought after tourist destination for international and domestic visitors alike. Over the past two decades tourism has grown substantially, although erratically, with both positive and less positive results for Ladakh's environment and people. People are recognizing that it is important to act now and engage in an informed dialogue in order to conserve the natural and cultural resources on which the future of tourism and related incomes depend. The Snow Leopard Conservancy (SLC) is working in collaboration with local communities and nongovernmental organizations to foster co-existence between people and predators like the endangered snow leopard by reducing livestock depredation losses and improving household incomes in environmentally friendly, socially responsible and economically viable ways. Well-balanced tourism is one income generating option.
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Jackson, R., & Hunter, D. O. (1995). Snow Leopard Survey and Conservation Handbook (2nd Edition). ISLT and National Biological Survey.
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Jackson, R. (1991). Snow Leopards and Other Wildlife in the Qomolang,a Nature Preserve of Tibet (Vol. ix). Seattle: International Snow Leopard Trust.
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The Snow Leopard Conservancy. (2002). Visitor Satisfaction and Opportunity Survey, Manang, Nepal: Market Opportunities for Linking Community-Based Ecotourism with the Conservation of Snow Leopards in the Annpurna Conservation Area. Report prepared for WWF-Nepal Programme (Vol. SLC Field Document Series No 3).
Abstract: For the past two decades, the Manang or Nyeshang Valley has become one of the most popular
trekking routes in Nepal, attracting over 15,000 trekkers annually (Ale, 2001). The 21-day
circular trek takes the visitor from the lush southern slopes of the Annapurna massif around to
its dry northern slopes more reminiscent of Tibet, through a landscape of spectacular mountain
scenes, interesting villages and diverse cultures. The Manang region also offers prime habitat
for the endangered snow leopard, supporting an estimated 4.8 – 6.7 snow leopards per 100 sq.
km (Oli 1992). This high density has been attributed to the abundance of blue sheep, the snow
leopard's primary large prey species across the Himalayan Mountains and Tibetan Plateau.
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Korablev, M. P., Poyarkov, A. D., Karnaukhov, A. S., Zvychaynaya, E. Y., Kuksin, A. N., Malykh, S. V., Istomov, S. V., Spitsyn, S. V., Aleksandrov, D. Y., Hernandez-Blanco, J. A., Munkhtsog, B., Munkhtogtokh, O., Putintsev, N. I., Vereshchagin, A. S., Becmurody, A., Afzunov, S., Rozhnov, V. V. (2021). Large-scale and fine-grain population structure and genetic diversity of snow leopards (Panthera uncia Schreber, 1776) from the northern and western parts of the range with an emphasis on the Russian population. Conservation Genetics, .
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.
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Durbach, I., Borchers, D., Sutherland, C., Sharma, K. (2020). Fast, flexible alternatives to regular grid designs for spatial
capture–recapture..
Abstract: Spatial capture–recapture (SCR) methods use the location of
detectors (camera traps, hair snares and live-capture traps) and the
locations at which animals were detected (their spatial capture
histories) to estimate animal density. Despite the often large expense
and effort involved in placing detectors in a landscape, there has been
relatively little work on how detectors should be located. A natural
criterion is to place traps so as to maximize the precision of density
estimators, but the lack of a closed-form expression for precision has
made optimizing this criterion computationally demanding. 2. Recent
results by Efford and Boulanger (2019) show that precision can be well
approximated by a function of the expected number of detected
individuals and expected number of recapture events, both of which can
be evaluated at low computational cost. We use these results to develop
a method for obtaining survey designs that optimize this approximate
precision for SCR studies using count or binary proximity detectors, or
multi-catch traps. 3. We show how the basic design protocol can be
extended to incorporate spatially varying distributions of activity
centres and animal detectability. We illustrate our approach by
simulating from a camera trap study of snow leopards in Mongolia and
comparing estimates from our designs to those generated by regular or
optimized grid designs. Optimizing detector placement increased the
number of detected individuals and recaptures, but this did not always
lead to more precise density estimators due to less precise estimation
of the effective sampling area. In most cases, the precision of density
estimators was comparable to that obtained with grid designs, with
improvement in some scenarios where approximate CV(¬D) < 20% and density
varied spatially. 4. Designs generated using our approach are
transparent and statistically grounded. They can be produced for survey
regions of any shape, adapt to known information about animal density
and detectability, and are potentially easier and less costly to
implement. We recommend their use as good, flexible candidate designs
for SCR surveys when reasonable knowledge of model parameters exists. We
provide software for researchers to construct their own designs, in the
form of updates to design functions in the r package oSCR.
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Wangchuk, R., & Jackson, R. (2009). A Community-based Approach to Mitigating Livestock-Wildlife Conflict in Ladakh, India.
Abstract: Livestock depredation by snow leopard and wolf is widespread across the Himalayan region (Jackson et al. 1996, Jackson and Wangchuk 2001; Mishra 1997, Oli et al 1994). For example, in India's Kibber Wildlife Sanctuary, Mishra (1997) reported losses amounting to 18% of the livestock holdings and valued at about US $138 per household. The villagers claimed predation rates increased after establishment of the sanctuary, but
surveys indicated a dramatic increase in livestock numbers accompanying changes in animal husbandry systems (Mishra 2000).
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