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Author |
Zhenhuang, S. |
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Title |
Economic Fauna of China |
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Book Whole |
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Year |
1964 |
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China; status; distribution; hunting; pelts; coats; bones; fur; browse; 3410 |
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Academia Sinica Press |
Place of Publication |
China |
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Chinese |
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Call Number |
SLN @ rana @ 19 |
Serial |
1077 |
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Author |
Zhirnov, L.; Ilyinsky, V. |
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Title |
The Great Gobi National Park – a refuge for rare animals of the Central Asian deserts |
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Book Whole |
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1986 |
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gobi; Mongolia; parks; park; reserve; reserves; refuge; distribution; protected-area; browse; 2720 |
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Abstract |
Discusses snow leopard distribution in Great Gobi National Park |
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Centre for International Projects, GKNT |
Place of Publication |
Moscow |
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SLN @ rana @ 91 |
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1081 |
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Author |
Zong-Yi, W.; Sung, W. |
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Title |
Distribution and recent status of the Felidae in China |
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Conference Article |
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Year |
1986 |
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Pages |
201-209 |
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Felidae; China; status; distribution; environment; browse; 910 |
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Abstract |
Thirteen of the 37 existing species of the family Felidae have been recorded in China. These species are widely distributed throughout the country and inhabit a variety of life zones. Over the past several decades, the populations of most species of cats in China have declined due to overharvest and habitat destruction. China has a Protected Wildlife Species List which was initiated in 1962. Some cat species in China are now endangered or may already be extinct while other species or subspecies are threatened. The authors use limited data on the distribution of cats in China to summarize the staus of each species and the problems facing each. Recomendations for new measures to protect cats in China are made. |
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D.S.Miller;.D.D.Everett |
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Title, Monographic: Cats of the World:Biology, Conservation, and Mangement
Place of Meeting: Kingsville, Texas
Date of Copyright: 1986
Call Number: 86-31185 |
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SLN @ rana @ 85 |
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1092 |
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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 |
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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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Serial |
1616 |
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