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Author |
Anonymous |
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Title |
Snow leopard in Mongolia |
Type |
Miscellaneous |
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Year |
2001 |
Publication |
Pamphlet. |
Abbreviated Journal |
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1-27 |
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Keywords |
action plan, CCT, conservation, distribution, fur trade, habitat |
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Abstract |
This documents contains a review of the snow leopard's distribution, status and habitat in Mongolia, describes threats and conservation needs of the species, and outlines presently implemented actions. Five major threats are identified: 1) Poaching 2) loss of prey 3) degradation, fragmentation and loss of habitat 4) conflict with herders 5) lack of public awareness. Actions to mitigate the five major threats are recommended and future conservation priorities are set. |
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WWF Mongolia Country Office & International Snow Leopard Trust |
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Place of Publication |
Ulaanbaatar, Mongolia |
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English |
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Call Number |
SLN @ rana @ |
Serial |
1112 |
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Author |
Han, X. Miquelle, D. G., Zhang, E., Jones, M., and Jin, T.. |
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Title |
Far eastern leopard and Siberian tiger conservation measures. |
Type |
Conference Article |
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Year |
2001 |
Publication |
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Abbreviated Journal |
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Pages |
102-103 |
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Keywords |
CCT, conservation, conservation needs, conservation strategy, distribution, Jilin Province, leopard, monitoring, Panthera pardus, Panthera tigris, poaching, recovery, Recovery plan, snow |
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Abstract |
Workshop to develop a recovery plan for the wild north China tiger population. October 20th to 23th, 2000, Harbin.
Like the Siberian Tiger, the Far Eastern Leopard is one of China's largest Felidae and lives mainly in the eastern mountains of Jilin Province. The number of leopards is very low and it is even more endangered than the tiger. There is a very close relationship between leopard and tiger conservation, especially in areas where overlap occurs. In these areas, special emphasis has to be placed on each of the species' specific conservation needs. There is urgent need to step up our efforts to study and monitor leopard populations and to develop a conservation strategy. This document contains information of the status and main threats of the Far Eastern leopard and makes recommendations on needed conservation measures. |
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U.S. Fish and Wildlife Service's Rhinoceros and Tiger Conservation Fund |
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Widlife Conservation Society |
Place of Publication |
Harbin |
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English |
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no |
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Call Number |
SLN @ rana @ |
Serial |
1117 |
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Author |
Holt, C. D. S., Nevin, O. T., Smith, D., Convery, I. |
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Title |
Environmental niche overlap between snow leopard and four prey species in Kazakhstan |
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Journal Article |
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Year |
2018 |
Publication |
Elsevier |
Abbreviated Journal |
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48 |
Pages |
97-103 |
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Keywords |
SDM, MaxEnt, Management, Conservation, Dispersal, Distribution |
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Abstract |
The snow leopard Panthera uncia has declined due to habitat loss, habitat fragmentation and human persecution. Predator distribution is heavily dependent on prey species availability and distribution. With increasing pressures from farming practices encroaching into native species range and persecution of snow leopards in response to livestock depredation, it is vital to assess current predator and prey species distribution to highlight sensitive areas of overlap for protection. This study uses MaxEnt, a presence-only Species Distribution Model (SDM) to assess snow leopard and four prey species habitat suitability along
the southern and eastern borders of Kazakhstan using environmental data. This area is considered an important corridor between snow leopard populations in the north and south of their range. Each of the five SDM's produced models of �good� discriminating abilities. We then compared the potential niche overlap between snow leopard and four prey species using ENMTools to highlight areas of important niche overlap within the corridor. The results indicated a very high degree of overlap between snow leopard and Siberian ibex and high degrees Capra sibirica with red deer Cervus elaphus, argali Ovis ammon and urial Ovis orientalis. The snow leopard population in this region is also found to be using forested areas below 2500 m, much lower than recorded in other areas of their range. The results highlight areas needed for protection but also pose additional conservation questions regarding the importance of prey species to transitory individuals. |
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Call Number |
SLN @ rakhee @ |
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1472 |
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Author |
Atzeni, L., Cushman, S. A., Bai, D., Wang, J., Chen, P., Shi,
K., Riordan, P. |
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Title |
Meta-replication, sampling bias, and multi-scale model selection:
A case study on snow leopard (Panthera uncia) in western China. |
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Journal Article |
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Year |
2020 |
Publication |
Ecology and Evolution |
Abbreviated Journal |
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1-27 |
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Keywords |
MaxEnt, meta-replication, multi-scale, Panthera uncia, sampling bias, scale selection, snow leopard, species distribution model |
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Abstract |
Replicated multiple scale species distribution models (SDMs)
have become increasingly important to identify the correct variables
determining species distribution and their influences on ecological
responses. This study explores multi-scale habitat relationships of the
snow leopard (Panthera uncia) in two study areas on the Qinghai–Tibetan
Plateau of western China. Our primary objectives were to evaluate the
degree to which snow leopard habitat relationships, expressed by
predictors, scales of response, and magnitude of effects, were
consistent across study areas or locally landcape-specific. We coupled
univariate scale optimization and the maximum entropy algorithm to
produce multivariate SDMs, inferring the relative suitability for the
species by ensembling top performing models. We optimized the SDMs based
on average omission rate across the top models and ensembles’ overlap
with a simulated reference model. Comparison of SDMs in the two study
areas highlighted landscape-specific responses to limiting factors.
These were dependent on the effects of the hydrological network,
anthropogenic features, topographic complexity, and the heterogeneity of
the landcover patch mosaic. Overall, even accounting for specific local
differences, we found general landscape attributes associated with snow
leopard ecological requirements, consisting of a positive association
with uplands and ridges, aggregated low-contrast landscapes, and large
extents of grassy and herbaceous vegetation. As a means to evaluate the
performance of two bias correction methods, we explored their effects on
three datasets showing a range of bias intensities. The performance of
corrections depends on the bias intensity; however, density kernels
offered a reliable correction strategy under all circumstances. This
study reveals the multi-scale response of snow leopards to environmental
attributes and confirms the role of meta-replicated study designs for
the identification of spatially varying limiting factors. Furthermore,
this study makes important contributions to the ongoing discussion about
the best approaches for sampling bias correction. |
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1616 |
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