International Journal of Pharmacognosy and Pharmaceutical Sciences

Vol. 1, Issue 1, Part A (2019)

Research on risk assessment and early warning mechanism of agricultural non-point source pollution in Bai-gui Lake watershed by GIS

Author(s):

Hai-Sheng Chen, Bing-hua Liao, Chong-Zheng Huang, Gan-qing Zhao, Shi-ping Chen, Yan-Jiao Li, Dan-Dan Liu, Fang Huang, Pei-shan Guo, Nan-nan Wu, Qing-ling Geng, Yong-Zhan Li, Guo-ju Yan

Abstract:
Weight value of disturbance and Simpson Index of indigenous plant species diversity along agro-disturbance of Bai-gui Lake watershed in Ping-ding-shan City. We concluded that there is a significantly negative correlation between Simpson Index of indigenous plant species and weight value of disturbance (P<0.01). Disturbance is the dominant environment driver of indigenous plant species diversity decreased on risk assessment and early warning mechanism of agricultural non-point source pollution. Thus, understanding dynamic links between indigenous plant species diversity and weight value of disturbance can be not just applied to preserve of plant species diversity, but also applied to risk assessment and early warning mechanism of agricultural non-point source pollution along different disturbance gradient.

Pages: 25-29  |  1321 Views  621 Downloads

How to cite this article:
Hai-Sheng Chen, Bing-hua Liao, Chong-Zheng Huang, Gan-qing Zhao, Shi-ping Chen, Yan-Jiao Li, Dan-Dan Liu, Fang Huang, Pei-shan Guo, Nan-nan Wu, Qing-ling Geng, Yong-Zhan Li, Guo-ju Yan. Research on risk assessment and early warning mechanism of agricultural non-point source pollution in Bai-gui Lake watershed by GIS. Int. J. Pharmacognosy Pharm. Sci. 2019;1(1):25-29.
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