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Alexander, J. S., Murali, R., Mijiddorj, T. N., Agvaantseren, B., Lhamo, C., Sharma, D., Suryawanshi, K. R., Zhi, L., Sharma, K., Young, J. C. |
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Applying a gender lens to biodiversity conservation in High Asia |
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2023 |
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Frontiers in Conservation Science |
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1-8 |
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gender, snow leopards, pastoralism, rights, decision-making |
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Community-based conservation efforts represent an important approach to facilitate the coexistence of people and wildlife. A concern, however, is that these efforts build on existing community structures and social norms, which are commonly dominated by men. Some biodiversity conservation approaches may consequently neglect women’s voices and deepen existing inequalities and inequities. This paper presents two community case studies that draw upon the knowledge and experience gained in our snow leopard conservation practice in pastoral and agro-pastoral settings in Mongolia and India to better understand women’s roles and responsibilities. In these settings, roles and responsibilities in livestock management and agriculture are strongly differentiated along gender lines, and significant gaps remain in women’s decision-making power about natural resources at the community level. We argue that context-specific and gender-responsive approaches are needed to build community support for conservation actions and leverage women’s potential contributions to conservation outcomes. |
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SLN @ rakhee @ |
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1741 |
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Chetri, M, Odden, M., Sharma, K., Flagstad, O., Wegge, P |
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Estimating snow leopard density using fecal DNA in a large landscape in north-central Nepal |
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Journal Article |
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2019 |
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Global Ecology and Conservation |
Abbreviated Journal |
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17 |
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1-8 |
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Panthera uncia, Density, Annapurna-Manaslu landscape, Noninvasive, Spatial scale |
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Although abundance estimates have a strong bearing on the conservation status of a
species, less than 2% of the global snow leopard distribution range has been sampled
systematically, mostly in small survey areas. In order to estimate snow leopard density
across a large landscape, we collected 347 putative snow leopard scats from 246 transects
(490 km) in twenty-six 5 5km sized sampling grid cells within 4393 km2 in Annapurna-
Manaslu, Nepal. From 182 confirmed snow leopard scats, 81 were identified as belonging
to 34 individuals; the remaining were discarded for their low (<0.625) quality index. Using
maximum likelihood based spatial capture recapture analysis, we developed candidate
model sets to test effects of various covariates on density and detection of scats on transects.
The best models described the variation in density as a quadratic function of
elevation and detection as a linear function of topography. The average density estimate of
snow leopards for the area of interest within Nepal was 0.95 (SE 0.19) animals per 100 km2
(0.66e1.41 95% CL) with predicted densities varying between 0.1 and 1.9 in different parts,
thus highlighting the heterogeneity in densities as a function of habitat types. Our density
estimate was low compared to previous estimates from smaller study areas. Probably,
estimates from some of these areas were inflated due to locally high abundances in overlap
zones (hotspots) of neighboring individuals, whose territories probably range far beyond
study area borders. Our results highlight the need for a large-scale approach in snow
leopard monitoring, and we recommend that methodological problems related to spatial
scale are taken into account in future snow leopard research. |
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1478 |
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Durbach, I., Borchers, D., Sutherland, C., Sharma, K. |
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Fast, flexible alternatives to regular grid designs for spatial
capture–recapture. |
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Research Article |
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2020 |
Publication |
Methods in Ecology and Evolution |
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1-13 |
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camera trap, population ecology,sampling, spatial capture-recapture, surveys |
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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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1618 |
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Ghoshal, A., Bhatnagar, Y. V., Pandav, B., Sharma, K., Mshra, C. |
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Assessing changes in distribution of the Endangered snow leopard Panthera uncia and its wild prey over 2 decades in the Indian Himalaya through interviewbased occupancy surveys |
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2017 |
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Oryx |
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1-13 |
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Asiatic ibex, blue sheep, carnivore, occupancy, snow leopard, survey, threat, ungulate |
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Understanding species distributions, patterns of
change and threats can form the basis for assessing the conservation
status of elusive species that are difficult to survey.
The snow leopard Panthera uncia is the top predator of the
Central and South Asian mountains. Knowledge of the distribution
and status of this elusive felid and its wild prey is
limited. Using recall-based key-informant interviews we estimated
site use by snow leopards and their primary wild
prey, blue sheep Pseudois nayaur and Asiatic ibex Capra
sibirica, across two time periods (past: �; recent:
�) in the state of Himachal Pradesh, India. We
also conducted a threat assessment for the recent period.
Probability of site use was similar across the two time periods
for snow leopards, blue sheep and ibex, whereas for wild
prey (blue sheep and ibex combined) overall there was an
% contraction. Although our surveys were conducted in
areas within the presumed distribution range of the snow
leopard, we found snow leopards were using only % of
the area (, km). Blue sheep and ibex had distinct distribution
ranges. Snow leopards and their wild prey were not
restricted to protected areas, which encompassed only %
of their distribution within the study area. Migratory livestock
grazing was pervasive across ibex distribution range
and was the most widespread and serious conservation
threat. Depredation by free-ranging dogs, and illegal hunting
and wildlife trade were the other severe threats. Our
results underscore the importance of community-based, landscape-
scale conservation approaches and caution against reliance
on geophysical and opinion-based distribution maps that have been used to estimate national and global snow leopard ranges. |
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1463 |
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Johansson, O., Ausilio, G., Low, M., Lkhagvajav, P., Weckworth,
B., Sharma, K. |
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The timing of breeding and independence for snow leopard females
and their cubs. |
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2020 |
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Mammalian Biology |
Abbreviated Journal |
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Age of independence; Life-history trade-offs; Panthera uncia; Parental care; Pre-dispersal behavior; Separation; Subadult |
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Significant knowledge gaps persist on snow leopard demography
and reproductive behavior. From a GPS-collared population in Mongolia,
we estimated the timing of mating, parturition and independence. Based
on three mother–cub pairs, we describe the separation phase of the cub
from its mother as it gains independence. Snow leopards mated from
January–March and gave birth from April–June. Cubs remained with their
mother until their second winter (20–22 months of age) when cubs started
showing movements away from their mother for days at a time. This
initiation of independence appeared to coincide with their mother mating
with the territorial male. Two female cubs remained in their mothers’
territory for several months after initial separation, whereas the male
cub quickly dispersed. By comparing the relationship between body size
and age of independence across 11 solitary, medium-to-large felid
species, it was clear that snow leopards have a delayed timing of
separation compared to other species. We suggest this may be related to
their mating behavior and the difficulty of the habitat and prey capture
for juvenile snow leopards. Our results, while limited, provide
empirical estimates for understanding snow leopard ecology and for
parameterizing population models. |
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1613 |
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Kichloo, M. A., Sharma, K., Sharma, N. |
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Climate casualties or human disturbance? Shrinking distribution of the three large carnivores in the Greater Himalaya |
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Journal Article |
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2023 |
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Springer – Climatic Change |
Abbreviated Journal |
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176 |
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118 |
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1-17 |
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Snow leopard · Common leopard · Asiatic black bear · Climate change · Multi- season occupancy analysis · Local ecological knowledge · Imperfect detection |
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Mammalian carnivores are key to our understanding of ecosystem dynamics, but most of them are threatened with extinction all over the world. Conservating large carnivores is often an arduous task considering the complex relationship between humans and carnivores, and the diverse range and reasons of threats they face. Climate change is exacerbating the situation further by interacting with most existing threats and amplifying their impacts. The Mountains of Central and South Asia are warming twice as rapidly as the rest of the northern hemisphere. There has been limited research on the effect of climate change and other variables on large carnivores. We studied the patterns in spatio-temporal distribution of three sympatric carnivores, common leopard, snow leopard, and Asiatic black bear in Kishtwar high altitude National Park, a protected area in the Great Himalayan region of Jammu and Kashmir. We investigated the effects of key habitat characteristics as well as human disturbance and climatic factors to understand the spatio-temporal change in their distributions between the early 1990s and around the year 2016–2017. We found a marked contraction in the distribution of the three carnivores between the two time periods. While snow leopard shifted upwards and further away from human settlements, common leopard and Asiatic black bear suffered higher rates of local extinctions at higher altitudes and shifted to lower areas with more vegetation, even if that brought them closer to settlements. We also found some evidence that snow leopards were less likely to have faced range contraction in areas with permanent glaciers. Our study underscores the importance of climate adaptive conservation practices for long-term management in the Greater Himalaya, including the monitoring of changes in habitat, and space-use patterns by human communities and wildlife. |
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1724 |
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Li, J., Weckworth, B. V., McCarthy, T. M., Liang, X., Liu, Y., Xing, R., Li, D., Zhang, Y., Xue, Y., Jackson, R., Xiao, L., Cheng, C., Li, S., Xu, F., Ma, M., Yang, X., Diao, K., Gao, Y., Song, D., Nowell, K., He, B., Li, Y., McCarthy, K., Paltsyn, M. Y., Sharma, K., Mishra, C., Schaller, G. B., Lu, Z., Beissinger, S. R. |
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Defining priorities for global snow leopard conservation landscapes |
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Journal Article |
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2019 |
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Biological Conservation |
Abbreviated Journal |
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241 |
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108387 |
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1-10 |
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Panthera uncia, Conservation prioritization, Landscape Conservation Unit, Connectivity, Linkage |
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The snow leopard (Panthera uncia) is an apex predator on the Tibetan Plateau and in the surrounding mountain ranges. It is listed as Vulnerable in the IUCN's Red List. The large home range and low population densities of this species mandate range-wide conservation prioritization. Two efforts for range-wide snow leopard conservation planning have been conducted based on expert opinion, but both were constrained by limited knowledge and the difficulty of evaluating complex processes, such as connectivity across large landscapes. Here, we compile > 6000 snow leopard occurrence records from across its range and corresponding environmental covariates to build a model of global snow leopard habitat suitability. Using spatial prioritization tools, we identi!ed seven large continuous habitat patches as global snow leopard Landscape Conservation Units (LCUs). Each LCU faces differing threat levels from poaching, anthropogenic development, and climate change. We identi!ed ten po- tential inter-LCU linkages, and centrality analysis indicated that Tianshan-Pamir-Hindu Kush-Karakorum, Altai, and the linkage between them play a critical role in maintaining the global snow leopard habitat connectivity. |
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1490 |
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McCarthy, T.; Murray, K.; Sharma, K.; Johansson, O. |
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Preliminary results of a long-term study of snow leopards in South Gobi, Mongolia |
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2010 |
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Cat News |
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Autumn |
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53 |
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15-19 |
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snow leopard, Mongolia, monitor, population, Panthera, Snow Leopard Trust, Snow Leopard Conservation Fund, South Gobi, ecology, radio collar, GPS-satellite collar, home range, camera trapping, fecal genetics, occupancy modeling |
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Snow leopards Panthera uncia are under threat across their range and require urgent conservation actions based on sound science. However, their remote habitat and cryptic nature make them inherently difficult to study and past attempts have provided insufficient information upon which to base effective conservation. Further, there has been no statistically-reliable and cost-effective method available to monitor snow leopard populations, focus conservation effort on key populations, or assess conservation impacts. To address these multiple information needs, Panthera, Snow Leopard Trust, and Snow Leopard Conservation Fund, launched an ambitious long-term study in Mongolia’s South Gobi province in 2008. To date, 10 snow leo-pards have been fitted with GPS-satellite collars to provide information on basic snow leopard ecology. Using 2,443 locations we calculated MCP home ranges of 150 – 938 km2, with substantial overlap between individuals. Exploratory movements outside typical snow leopard habitat have been observed. Trials of camera trapping, fecal genetics, and occupancy modeling, have been completed. Each method ex-hibits promise, and limitations, as potential monitoring tools for this elusive species. |
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Murali, R., Lkhagvajav, P., Saeed, U., Kizi, V. A., Nawaz, M. A., Bhatnagar, Y. V., Sharma, K., Mishra, C. |
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Title |
VALUATION OF ECOSYSTEM SERVICES IN SNOW LEOPARD LANDSCAPES OF ASIA |
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2017 |
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Snow leopards occur in Asia�s high mountain ranges of the Himalayas, Hindu Kush, Karakoram, Pamir, Tien Shan, Kunlun, Altai and Sayan. In all the 12 countries where they occur, snow leopards face intensifying threats to their survival, including habitat fragmentation and degradation due to increasing human populations, mining and developmental projects, poaching and illegal wildlife trade, weak law enforcement, inadequate involvement of local people in conservation efforts, and depletion of natural prey populations due to hunting by people and overgrazing by livestock.
To address the urgent needs of conservation of the snow leopard and the sustainable development of mountain peoples, the Governments of snow leopard range countries came together and agreed to invest efforts to conserve snow leopards in 23 large landscapes across its range under the Global Snow Leopard Ecosystem Protection Program (GSLEP).
These landscapes where the snow leopards occur are inhabited by agro-pastoral and pastoral peoples who depend on well functioning ecosystems for ecosystem services, i.e., the benefits that humans derive from nature. Many threats that impact snow leopards also impact the well-being of people living in these landscapes. However, till date, there have been no studies that have attempted to quantify peoples� dependence on ecosystem services in snow leopard landscapes, or understand the impacts that alternate land-use decisions such as mining or infrastructure can have on the ecosystem services and on the local people who are dependent on them.
In this report, we provide the first assessment of the economic value of provisioning ecosystem services � the material goods from ecosystems � used by local people in five study sites from four GSLEP landscapes: Spiti Valley and Changtang region of Ladakh in India�s Hemis-Spiti Landscape, Gurez Valley in the Himalayan Landscape of Pakistan, Tost Nature Reserve in the South Gobi Landscape of Mongolia, and the Sarychat region in the Central Tien Shan Landscape of Kyrgyzstan. In study sites that had both pastoral and agro-pastoral communities, we estimated ecosystem services separately for the two production systems.The average value (± SE) of ecosystem services per household amongst the agro-pastoral
communities of Gurez Valley (4125 ± 190 USD/HH/yr) was 2.5 times the average local household income. In the agro-pastoral communities of Spiti Valley (3964 ± 334.8 USD/HH/yr) it was 3.6 times the average local household income, while it was 3.7 times amongst the agro-pastoral communities of Changtang (15083 ± 1656 USD/HH/yr). Amongst the pastoral communities, the value of ecosystem services used by households was several times higher than the average household income: it was 26.1 times amongst the pastoral communities of Changtang (79303 ± 9204 USD HH/yr), 38.7 times among communities in Tost Nature Reserve (150100 ± 13290 USD/HH/yr), and 7.4 times among the pastoral communities of Sarychat (25473 ± 5236 USD/HH/yr). It was lower, although still substantial at 0.6 times, for the downstream agro-pastoral communities living outside the landscape boundary in Sarychat (2094 ± 189 USD/HH/yr).
Our work reveals substantially high levels of dependence of local communities on ecosystem services provided by snow leopard landscapes of Asia. The estimated economic value of provisioning ecosystem services used by human households in these landscapes ranged from 0.6 to up to 40 times the local annual household incomes. This economic support that nature provides people is critical for humanity but remains hidden and unaccounted for. Land use change decisions, especially those that are damaging for nature and biodiversity, must start accounting for the value of ecosystem services in their cost-benefit analyses. |
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Author |
Sharma, K. |
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Title |
The mysterious irbis |
Type |
Magazine Article |
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Year |
2008 |
Publication |
Sanctuary Asia |
Abbreviated Journal |
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Volume |
28 |
Issue |
6 |
Pages |
52-57 |
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Keywords |
Mongolia, Snow Leopard Conservation Fund, Panthera, Snow Leopard Trust, long-term, ecology, Tost, snow leopard |
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Language |
English |
Summary Language |
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Original Title |
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Expedition |
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Conference |
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Notes |
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Approved |
no |
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Call Number |
SLN @ rana @ |
Serial |
1300 |
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