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Author |
Khanyari, M., Zhumabai uulu, K., Luecke, S., Mishra, C.,
Suryawanshi, K. |
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Title |
Understanding population baselines: status of mountain ungulate
populations in the Central Tien Shan Mountains, Kyrgyzstan |
Type |
Journal Article |
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Year |
2020 |
Publication |
Mammalia |
Abbreviated Journal |
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1-8 |
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Keywords |
conservation; human-use landscapes; hunting concession; mountain ungulates; population baselines; protected areas. |
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Abstract |
We assessed the density of argali (Ovis ammon) and ibex
(Capra sibirica) in Sarychat-Ertash Nature Reserve and its neighbouring
Koiluu valley. Sarychat is a protected area, while Koiluu is a human-use
landscape which is a partly licenced hunting concession for mountain
ungulates and has several livestock herders and their permanent
residential structures. Population monitoring of mountain ungulates can
help in setting measurable conservation targets such as appropriate
trophy hunting quotas and to assess habitat suitability for predators
like snow leopards (Panthera uncia). We employed the double-observer
method to survey 573 km2 of mountain ungulate habitat inside Sarychat
and 407 km2 inside Koiluu. The estimated densities of ibex and argali in
Sarychat were 2.26 (95% CI 1.47–3.52) individuals km-2 and 1.54 (95% CI
1.01–2.20) individuals km-2, respectively. Total ungulate density in
Sarychat was 3.80 (95% CI 2.47–5.72) individuals km-2. We did not record
argali in Koiluu, whereas the density of ibex was 0.75 (95% CI
0.50–1.27) individuals km-2. While strictly protected areas can achieve
high densities of mountain ungulates, multi-use areas can harbour
meaningful
though suppressed populations. Conservation of mountain ungulates and
their predators can be enhanced by maintaining Sarychat-like “pristine”
areas interspersed within a matrix of multi-use areas like Koiluu. |
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1610 |
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Murali,R., Ikhagvajav, P., Amankul, V., Jumabay, K., Sharma,
K., Bhatnagar, Y. V., Suryawanshi, K., Mishra, C. |
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Title |
Ecosystem service dependence in livestock and crop-based |
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Journal Article |
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Year |
2020 |
Publication |
Journal of Arid Environments |
Abbreviated Journal |
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180 |
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1-10 |
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Keywords |
Provisioning services Arid ecosystems Local communities Land-use |
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Globally, in semi-arid and arid landscapes, there is an
ongoing transition from livestock-production systems to crop-production
systems, and in many parts of Asia's arid mountains, mining for minerals
is also increasing. These changes are accompanied by a change in the
generation and quality of ecosystem services (ES), which can impact
human well-being. In this study, to better understand the impacts of
such transitions, we quantified ES in two crop-based and three
livestock-based production systems in the arid and semi-arid landscapes
of the High Himalaya and Central Asia, specifically in the Indian
Himalaya, Kyrgyz Tien Shan, and Mongolian Altai. Our results showed 1)
high economic dependence (3.6–38 times the respective annual household
income) of local farmers on provisioning ES, with the economic value of
ES being greater in livestock-production systems (7.4–38 times the
annual household income) compared to crop-production systems (3.6–3.7
times the annual household income); 2) ES input into cashmere
production, the main commodity from the livestock-production systems,
was 13–18 times greater than the price of cashmere received by the
farmer; and 3) in the livestock production systems affected by mining,
impacts on ES and quality of life were reported to be negative by
majority of the respondents. We conclude that livestock-based systems
may be relatively more vulnerable to degrading impacts of mining and
other ongoing developments due to their dependence on larger ES resource
catchments that tend to have weaker land tenure and are prone to
fragmentation. In contrast to the general assumption of low value of ES
in arid and semi-arid landscapes due to relatively low primary
productivity, our study underscores the remarkably high importance of ES
in supporting local livelihoods. |
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1603 |
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Author |
Sharma, R. K., Sharma, K., Borchers, D., Bhatnagar, Y. V., Suryawanshi, K. S., Mishra, C. |
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Title |
Spatial variation in population-density, movement and detectability of snow leopards in
2 a multiple use landscape in Spiti Valley, Trans-Himalaya |
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Journal Article |
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2020 |
Publication |
bioRxiv |
Abbreviated Journal |
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Keywords |
Co-existence; land sharing; population-density; spatial capture recapture; Pseudois nayaur
Capra sibirica; ungulates; livestock. |
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Abstract |
The endangered snow leopard Panthera uncia occurs in human use landscapes in the mountains of South and Central Asia. Conservationists generally agree that snow leopards must be conserved through a land-sharing approach, rather than land-sparing in the form of strictly protected areas. Effective conservation through land-sharing requires a good understanding of how snow leopards respond to human use of the landscape. Snow leopard density is expected to show spatial variation within a landscape because of variation in the intensity of human use and the quality of habitat. However, snow leopards have been difficult to enumerate and monitor. Variation in the density of snow leopards remains undocumented, and the impact of human use on their populations is poorly understood. We examined spatial variation in snow leopard density in Spiti Valley, an important snow leopard landscape in India, via spatially explicit capture recapture analysis of camera trap data. We camera trapped an area encompassing a minimum convex polygon of 953 km . We estimated an overall density of 0.49 (95% CI: 0.39-0.73) adult snow leopards per 100 km . Using AIC, our best model showed the density of snow leopards to depend on wild prey density, movement about activity centres to depend on altitude, and the expected number of encounters at the activity centre to depend on topography. Models that also used livestock biomass as a density covariate ranked second, but the effect of livestock was weak. Our results highlight the importance of maintaining high density pockets of wild prey populations in multiple use landscapes to enhance snow leopard conservation. |
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1620 |
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Sharma, K., Fiechter, M., George, T., Young, J., Alexander, J.
S., Bijoor, Suryawanshi, K., Mishra, C. |
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Title |
Conservation and people: Towards an ethical code of conduct for
the use of camera traps in wildlife research |
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Journal Article |
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2020 |
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Ecological Solutions and Evidence |
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1-6 |
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camera trap, code of conduct, ethics, human rights, law, PARTNERS principles for community- based conservation, privacy, snow leopard |
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1. Camera trapping is a widely employed tool in wildlife
research, used to estimate animal abundances, understand animal
movement, assess species richness and under- stand animal behaviour. In
addition to images of wild animals, research cameras often record human
images, inadvertently capturing behaviours ranging from innocuous
actions to potentially serious crimes.
2. With the increasing use of camera traps, there is an urgent need to
reflect on how researchers should deal with human images caught on
cameras. On the one hand, it is important to respect the privacy of
individuals caught on cameras, while, on the other hand, there is a
larger public duty to report illegal activity. This creates ethical
dilemmas for researchers.
3. Here, based on our camera-trap research on snow leopards Panthera
uncia, we outline a general code of conduct to help improve the practice
of camera trap based research and help researchers better navigate the
ethical-legal tightrope of this important research tool. |
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1626 |
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Author |
Sharma, R. K., Sharma, K., Borchers, D., Bhatnagar, Y V., Suryawanshi, K. R., Mishra, C. |
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Title |
Spatial variation in population-density of snow leopards in a multiple use landscape in Spiti Valley, Trans-Himalaya |
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Research Article |
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2021 |
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PloS One |
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1-14 |
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Abstract |
The endangered snow leopard Panthera uncia occurs in human use landscapes in the mountains of South and Central Asia. Conservationists generally agree that snow leopards must be conserved through a land-sharing approach, rather than land-sparing in the form of strictly protected areas. Effective conservation through land-sharing requires a good understanding of how snow leopards respond to human use of the landscape. Snow leopard density is expected to show spatial variation within a landscape because of variation in the intensity of human use and the quality of habitat. However, snow leopards have been difficult to enumerate and monitor. Variation in the density of snow leopards remains undocumented, and the impact of human use on their populations is poorly understood. We examined spatial variation in snow leopard density in Spiti Valley, an important snow leopard landscape in India, via spatially explicit capture-recapture analysis of camera trap data. We camera trapped an area encompassing a minimum convex polygon of 953 km2. Our best model estimated an overall density of 0.5 (95% CI: 0.31–0.82) mature snow leopards per 100 km2. Using AIC, our best model showed the density of snow leopards to depend on estimated wild prey density, movement about activity centres to depend on altitude, and the expected number of encounters at the activity centre to depend on topography. Models that also used livestock biomass as a density covariate ranked second, but the effect of livestock was weak. Our results highlight the importance of maintaining high density pockets of wild prey populations in multiple-use landscapes to enhance snow leopard conservation. |
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1637 |
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Atzeni, L., Cushman, S. A., Wang, J., Riordan, P., Shi, K., Bauman, D. |
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Title |
Evidence of spatial genetic structure in a snow leopard population from Gansu, China |
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2021 |
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Heredity |
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Understanding the spatial structure of genetic diversity provides insights into a populations’ genetic status and enables assessment of its capacity to counteract the effects of genetic drift. Such knowledge is particularly scarce for the snow leopard, a conservation flagship species of Central Asia mountains. Focusing on a snow leopard population in the Qilian mountains of Gansu Province, China, we characterised the spatial genetic patterns by incorporating spatially explicit indices of diversity and multivariate analyses, based on different inertia levels of Principal Component Analysis (PCA). We compared two datasets differing in the number of loci and individuals. We found that genetic patterns were significantly spatially structured and were characterised by a broad geographical division coupled with a fine-scale cline of differentiation. Genetic admixture was detected in two adjoining core areas characterised by higher effective population size and allelic diversity, compared to peripheral localities. The power to detect significant spatial relationships depended primarily on the number of loci, and secondarily on the number of PCA axes. Spatial patterns and indices of diversity highlighted the cryptic structure of snow leopard genetic diversity, likely driven by its ability to disperse over large distances. In combination, the species’ low allelic richness and large dispersal ability result in weak genetic differentiation related to major geographical features and isolation by distance. This study illustrates how cryptic genetic patterns can be investigated and analysed at a fine spatial scale, providing insights into the spatially variable isolation effects of both geographic distance and landscape resistance. |
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SLN @ rakhee @ |
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1661 |
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