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Integrated regional ecological risk assessment of multi-ecosystems under multi-disasters: a case study of China
被引:30
作者:
Xu, Xuegong
[1
,2
]
Xu, Lifen
[1
,2
]
Yan, Lei
[1
,2
]
Ma, Luyi
[1
,2
]
Lu, Yaling
[3
]
机构:
[1] Peking Univ, Minist Educ, Coll Urban & Environm Sci, Beijing 100871, Peoples R China
[2] Peking Univ, Minist Educ, Lab Earth Surface Proc, Beijing 100871, Peoples R China
[3] Chinese Acad Environm Planning, State Environm Protect Key Lab Environm Planning, Beijing 100012, Peoples R China
关键词:
Ecological risk;
Integrated assessment;
Natural disaster;
Uncertainty analysis;
China;
SAMPLING-BASED METHODS;
UNCERTAINTY;
MODEL;
D O I:
10.1007/s12665-015-4079-2
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
Using China as a case study, this paper explores the integrated regional ecological risk assessment of multiple stressors and multiple receptors on a large spatial scale. The objective is to provide scientific data to support ecological risk identification and prevention. To carry out this assessment, ten natural disasters were chosen as risk sources, and twenty-two ecosystems were chosen as risk receptors. The vulnerability of environment where these ecosystems existed was taken into consideration. Using the software platform GIS, the ecological risk of each disaster was evaluated, the integrated assessment for all disasters was compiled, and the integrated risk of different ecosystems was obtained. All results were shown in assessment maps. The results show that forty-five percent of the ecosystems' areas in China face high or medium ecological risks. This result indicates that the establishment of ecosystem protection and ecological risk prevention mechanisms in China is still a long-term, difficult task, requiring the rational use and conservation of forests, meadows, farmland, wetlands, and other ecosystems alike is of great necessity. The uncertainty analysis of risk assessment using the Monte Carlo Simulation method demonstrated the results to be reliable and credible.
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页码:747 / 758
页数:12
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