Long-Term Dynamic Monitoring and Driving Force Analysis of Eco-Environmental Quality in China

被引:4
作者
Zhang, Weiwei [1 ,2 ]
Liu, Zixi [1 ]
Qin, Kun [3 ,4 ]
Dai, Shaoqing [4 ,5 ]
Lu, Huiyuan [2 ]
Lu, Miao [6 ]
Ji, Jianwan [2 ]
Yang, Zhaohui [2 ]
Chen, Chao [2 ]
Jia, Peng [3 ,4 ,7 ,8 ]
机构
[1] Suzhou Univ Sci & Technol, Sch Environm Sci & Engn, Suzhou 215009, Peoples R China
[2] Suzhou Univ Sci & Technol, Sch Geog Sci & Geomat Engn, Suzhou 215009, Peoples R China
[3] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Peoples R China
[4] Wuhan Univ, Int Inst Spatial Lifecourse Hlth ISLE, Wuhan 430072, Peoples R China
[5] Univ Twente, Fac Geoinformat Sci & Earth Observat, NL-7500 Enschede, Netherlands
[6] Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, State Key Lab Efficient Utilizat Arid & Semiarid A, Beijing 100081, Peoples R China
[7] Hubei Luojia Lab, Wuhan 430072, Peoples R China
[8] Wuhan Univ, Sch Publ Hlth, Wuhan 430071, Peoples R China
基金
国家重点研发计划;
关键词
Google Earth Engine; remote sensing ecological index; GeoDetector; eco-environmental quality; YANGTZE-RIVER DELTA; ECOLOGICAL QUALITY; LAND-USE; ECONOMIC-GROWTH; CLIMATE-CHANGE; INDEX; IMPACTS; REGION; HEBEI;
D O I
10.3390/rs16061028
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Accurate assessments of the historical and current status of eco-environmental quality (EEQ) are essential for governments to have a comprehensive understanding of regional ecological conditions, formulate scientific policies, and achieve the United Nations Sustainable Development Goals (SDGs). While various approaches to EEQ monitoring exist, they each have limitations and cannot be used universally. Moreover, previous studies lack detailed examinations of EEQ dynamics and its driving factors at national and local levels. Therefore, this study utilized a remote sensing ecological index (RSEI) to assess the EEQ of China from 2001 to 2021. Additionally, an emerging hot-spot analysis was conducted to study the spatial and temporal dynamics of the EEQ of China. The degree of influence of eight major drivers affecting EEQ was evaluated by a GeoDetector model. The results show that from 2001 to 2021, the mean RSEI values in China showed a fluctuating upward trend; the EEQ varied significantly in different regions of China, with a lower EEQ in the north and west and a higher EEQ in the northeast, east, and south in general. The spatio-temporal patterns of hot/cold spots in China were dominated by intensifying hot spots, persistent cold spots, and diminishing cold spots, with an area coverage of over 90%. The hot spots were concentrated to the east of the Hu Huanyong Line, while the cold spots were concentrated to its west. The oscillating hot/cold spots were located in the ecologically fragile agro-pastoral zone, next to the upper part of the Hu Huanyong Line. Natural forces have become the main driving force for changes in China's EEQ, and precipitation and soil sand content were key variables affecting the EEQ. The interaction between these factors had a greater impact on the EEQ than individual factors.
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页数:22
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