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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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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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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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The Snow Leopard Conservancy. (2002). A Learning Tour of the CBN (Corbett, Nainital and Binsar) Eco-tourism Initiative Sites by Villagers from Hemis National Park and the Surrounding Area (18-28th November 2002) (R. Wangchuk, & J. Dadul, Eds.) (Vol. SLC Field Document Series No 5). Leh, Ladakh, India.
Abstract: Ladakh lies between the Great Himalayas and the formidable Karakoram mountains.
Its unique landscape and rich cultural heritage have been a great attraction to tourists all over
the world. Apart from its uniqueness it has a rich Trans-Himalayan bio-diversity and is home
to the rare and elusive snow leopard. It opened to tourism in 1974 with a handful of tourists
and has gone up to the present number of about 18,000 visitors annually. Ecotourism started in Ladakh in mid 80s in the form of conservation of traditional
architecture when local communities realized the importance of their rich culture and
traditions being valued by the visiting tourists. However, while tourism became a major
source of income to people in Leh, most of the benefits stayed with outside (Delhi) based
travel agents thus leaving out the rural masses. During the last three years Snow Leopard Conservancy and The Mountain Institute have been
initiating ecotourism activities with local communities in the Hemis National Park as an
alternate livelihood and an indirect way to compensate losses of livestock from predatory
animals. However, local people while venturing into such new initiatives have tended to be
like blind men that are being led by NGO's so that they do not stumble along their paths.
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The Snow Leopard Conservancy. (2003). Local People's Attitudes toward Wildlife Conservation in the Hemis National Park, with Special Reference to the Conservation of Large Predators (Vol. 7). Sonoma, California.
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Theile, S. (2003). Fading Footprints: The Killing and Trade of Snow Leopards. Caimbridge, UK: Traffic International.
Abstract: Snow Leopards, in a genus of their own, are endangered big cats. They inhabit rugged,
mountainous terrain, in 12 range States – Afghanistan, Bhutan, China, India, Kazakhstan,
Kyrgyzstan, Mongolia, Nepal, Pakistan, the Russian Federation, Tajikistan and Uzbekistan.
There are regional differences in prey, but the cats' natural prey includes ungulates and rodents.
The global population of Snow Leopards is estimated to be between about 4000 and 7000, but
sharp declines in populations have been reported over the past decade from parts of the species's
range. High levels of hunting for the animals' skins and for live animals, for zoos, during the
last century contributed to the species's endangered status and, from the 1970s, legal measures
were taken for its protection. In 1975, the species was listed in Appendix I of CITES (the
Convention on International Trade in Endangered Species of Fauna and Flora) and in 1985 it
became an Appendix-I species of the Convention of Migratory Species. It has been accorded
nation-wide legal protection in almost every range State, in some cases since the 1970s. In spite
of such provision, Snow Leopards have been hunted during the 1990s in numbers as high as at
any time in the past and this killing continues in the present century. This report details the status of illegal poaching and trade in snow leopards in the late twentieth and early twenty-first centuries.
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ud Din, J. (2008). Assessing the Status of Snow Leopard in Torkhow Valley, District Chitral, Pakistan: Final Technical Report.
Abstract: This study was aimed at assessing the status of Snow leopard, its major prey base, and the extent of human-Snow leopard conflict and major threats to the wildlife in north Chitral (Torkhow valley) Pakistan. Snow leopard occurrence was conformed through sign transect surveys i.e. SLIMS. Based on the data collected the number of Snow leopards in this survey block (1022 Kmý) is estimated to be 2-3 animals. Comparing this estimate with the available data from other parts of the district the population of snow leopard in Chitral district was count to be 36 animals. Livestock depredation reports collected from the area reflect the existence of human-snow leopard conflict and 138 cases were recorded affecting 102 families (in a period of eight years, 2001-2008). Ungulates (Himalayan Ibex) rut season surveys were conducted in coordination with NWFP Wildlife department. A total of 429 animals were counted using direct count (point method) surveys. Other snow leopard prey species recorded include marmot, hare, and game birds. Signs of other carnivores i.e. wolf, jackal, and fox were also noticed. Major threats to the survival of wildlife especially snow leopard reckoned include retaliatory killing (Shooting, Poisoning), poaching, loss of natural prey, habitat degradation (over grazing, fodder and fuel wood collection), lack of awareness, and over population. GIS map of the study area was developed highlighting the area searched for Snow leopard and its prey species. Capacity of the Wildlife Department staff was built in conducting SLIMS and ungulate surveys through class room and on field training. Awareness regarding the importance of wildlife conservation was highlighted to the students, teachers and general community through lectures and distribution of resource materials developed by WWF-Pakistan.
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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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Watts, S. W., McCarthy, T. M., Namgail, T. (2019). Modelling potential habitat for snow leopards (Panthera uncia) in
Ladakh, India.
Abstract: The snow leopard Panthera uncia is an elusive species
inhabiting some of the most remote and inaccessible tracts of Central
and South Asia. It is difficult to determine its distribution and
density pattern, which are crucial for developing conservation
strategies. Several techniques for species detection combining camera
traps with remote sensing and geographic information systems have been
developed to model the habitat of such cryptic and low-density species
in challenging terrains. Utilising presence-only data from camera traps
and direct observations, alongside six environmental variables
(elevation, aspect, ruggedness, distance to water, land cover, and prey
habitat suitability), we assessed snow leopard habitat suitability
across Ladakh in northern India. This is the first study to model snow
leopard distribution both in India and utilising direct observation
data. Results suggested that elevation and ruggedness are the two most
influential environmental variables for snow leopard habitat
suitability, with highly suitable habitat having an elevation range of
2,800 m to 4,600 m and ruggedness of 450 m to 1,800 m. Our habitat
suitability map estimated approximately 12% of Ladakh’s geographical
area (c. 90,000 km2) as highly suitable and 18% as medium suitability.
We found that 62.5% of recorded livestock depredation along with over
half of all livestock corrals (54%) and homestays (58%) occurred within
highly suitable snow leopard habitat. Our habitat suitability model can
be used to assist in allocation of conservation resources by targeting
construction of livestock corrals to areas of high habitat suitability
and promoting ecotourism programs in villages in highly suitable snow
leopard habitat.
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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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