A new perspective on the whole process of ecological vulnerability analysis based on the EFP framework

被引:7
|
作者
Ma, Lixia [1 ]
Hou, Kang [1 ]
Tang, Haojie [1 ]
Liu, Jiawei [1 ]
Wu, Siqi [1 ]
Li, Xuxiang [2 ]
Sun, Pengcheng [3 ]
机构
[1] Xian Polytech Univ, Sch Environm & Chem Engn, Xian 710048, Peoples R China
[2] Xi An Jiao Tong Univ, Sch Human Settlements & Civil Engn, Xian 710049, Peoples R China
[3] Minist Water Resources, Yellow River Inst Hydraul Res, Key Lab Soil & Water Conservat Loess Plateau, Zhengzhou 450003, Peoples R China
基金
中国国家自然科学基金;
关键词
Evolution-factor analysis-prediction; EFP; Transformation process; Influencing factors; Evolution; RIVER;
D O I
10.1016/j.jclepro.2023.139160
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Ecological vulnerability (EV) assessment is an effective method for evaluating ecological environments. However, there are few studies on the internal transformation process of EV and its influencing factors. As an important water source of China's South-to-North Water Diversion Project, the southern Shaanxi has been gradually affected by different degrees of human influence in recent years. Therefore, the framework of "Evolution-Factor analysis-Prediction (EFP)" was established to analyze the evolution process from point to surface in this area, which was a new perspective that can be used to analyze the whole process of tracking ecological vulnerability evolution. The results showed that the ecological vulnerability had an obvious zonal distribution found significant ecological improvement, with an increase of 24.61% in ecological vulnerability level I and level II, and a decrease of 6.82% in level IV and level V. The causes obtained using the factor analysis model were mainly human factors, with the most significant factor being the industrial/agricultural output and its value exceeding 0.7. The center of gravity of ecological vulnerability shifted from the south to the north-east and then to the west by 17,390 and 20,206 m, respectively. This framework can better analyze the change process of regional ecological vulnerability, and is a feasible way to track the evolution of global environmental change.
引用
收藏
页数:18
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