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Bhatnagar, Y.V.; Mathur, V.B.; McCarthy, T. |
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Title |
A Regional Perspective for Snow Leopard Conservation In the Indian Trans-Himalaya |
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Conference Article |
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2002 |
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Keywords |
snow; leopard; India; indian; Himalaya; Himalayan; conservation; region; regional; climate; topography; flora; fauna; Tibet; tibetan; protected; area; planning; management; manage; biogeographic; gazelle; kiang; yak; predator; 4900 |
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Abstract |
The Trans-Himalaya is a vast biogeographic region in the cold and arid rain-shadow of
the Greater Himalaya and is spread over three Indian states. From the conservation
standpoint this region has several unique characteristics. Unlike most other
biogeographic regions of the country, it has wildlife, including large mammals, spread
over the entire region. Another feature is that the harsh climate and topography
provides limited agricultural land and pastures, all of which are currently utilized by
people. The harsh environment has given rise to a specialized assemblage of flora and fauna in
the region that include the endangered snow leopard, a variety of wild sheep and goat,
Tibetan antelope, Tibetan gazelle, kiang and wild yak. The snow leopard is one of the
most charismatic species of the Trans-Himalaya. This apex predator, with a wide
distribution, has ecological importance and international appeal, and is eminently
suitable to be used as both a 'flagship' and an 'umbrella species' to anchor and guide
conservation efforts in the Trans-Himalayan region. Among the 10 Biogeographic Zones in the country, the Trans-Himalaya has a
comparatively large Protected Area (PA) coverage, with over 15,000 km2 (8.2 %) of
the geographical area under the network. In spite of this, the bulk of the large mammal
populations still exist outside the PAs, which include highly endangered species such
as snow leopard, chiru, wild yak, Ladakh urial, kiang and brown bear. Given the sparse resource availability in the Trans-Himalaya and the existing human
use patterns, there are few alternatives that can be provided to resource dependent
human communities in and around PAs. The existing PAs themselves pose formidable
conservation challenges and a further increase in their extent is impractical. The
problem is further compounded by the fact that some of the large PAs have unclear
boundaries and include vast stretches that do not have any direct wildlife values. These
issues call for an alternative strategy for conservation of the Trans-Himalayan tracts
based on a regional perspective, which includes reconciling conservation with
development. In this paper we stress that conservation issues of this region, such as competition for
forage between wild and domestic herbivores and human-wildlife conflicts need to be
addressed in a participatory manner. We suggest an alternative scheme to look at the
zonation of existing PAs and also the Trans-Himalayan region as a whole, to facilitate
better conservation in the region. Also, we emphasize that there is a vital need for
additional resources and a formal setup for regional planning and management under a
centrally sponsored scheme such as the 'Project Snow Leopard'. |
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Title, Monographic: Proceedings of the Snow Leopard Survival SummitPlace of Meeting: Seattle,WA |
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Call Number |
SLN @ rana @ 476 |
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137 |
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Singh, R., Krausman, P. R., Pandey, P., Maheshwari, A., Rawal,
R. S., Sharma, S., Shekhar, S. |
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Title |
Predicting Habitat Suitability of Snow Leopards in the Western
Himalayan Mountains, India |
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Journal Article |
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Year |
2020 |
Publication |
Biology bulletin |
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47 |
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6 |
Pages |
655-664 |
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Keywords |
biogeographic distribution, climate, endangered cat, MaxEnt, snow leopard |
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Abstract |
The population of snow leopard (Panthera uncia) is declining
across their range, due to poaching, habitat fragmentation, retaliatory
killing, and a decrease of wild prey species. Obtaining information on
rare and cryptic predators living in remote and rugged terrain is
important for making conservation and management strategies. We used the
Maximum Entropy (MaxEnt) ecological niche modeling framework to predict
the potential habitat of snow leopards across the western Himalayan
region, India. The model was developed using 34 spatial species
occurrence points in the western Himalaya, and 26 parameters including,
prey species distribution, temperature, precipitation, land use and land
cover (LULC), slope, aspect, terrain ruggedness and altitude. Thirteen
variables contributed 98.6% towards predicting the distribution of snow
leopards. The area under the curve (AUC) score was high (0.994) for the
training data from our model, which indicates pre- dictive ability of
the model. The model predicted that there was 42432 km2 of potential
habitat for snow leop- ards in the western Himalaya region. Protected
status was available for 11247 km2 (26.5%), but the other 31185 km2
(73.5%) of potential habitat did not have any protected status. Thus,
our approach is useful for predicting the distribution and suitable
habitats and can focus field surveys in selected areas to save
resources, increase survey success, and improve conservation efforts for
snow leopards. |
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