Long-Term Dynamic Monitoring and Driving Force Analysis of Eco-Environmental Quality in China
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). Whil...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-03-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/16/6/1028 |
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| author | Weiwei Zhang Zixi Liu Kun Qin Shaoqing Dai Huiyuan Lu Miao Lu Jianwan Ji Zhaohui Yang Chao Chen Peng Jia |
| author_facet | Weiwei Zhang Zixi Liu Kun Qin Shaoqing Dai Huiyuan Lu Miao Lu Jianwan Ji Zhaohui Yang Chao Chen Peng Jia |
| author_sort | Weiwei Zhang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-24T17:52:15Z |
| format | Article |
| id | doaj.art-e837389adeee48459c5182095fddf6c5 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-04-24T17:52:15Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-e837389adeee48459c5182095fddf6c52024-03-27T14:02:39ZengMDPI AGRemote Sensing2072-42922024-03-01166102810.3390/rs16061028Long-Term Dynamic Monitoring and Driving Force Analysis of Eco-Environmental Quality in ChinaWeiwei Zhang0Zixi Liu1Kun Qin2Shaoqing Dai3Huiyuan Lu4Miao Lu5Jianwan Ji6Zhaohui Yang7Chao Chen8Peng Jia9School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, ChinaSchool of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, ChinaSchool of Resource and Environmental Sciences, Wuhan University, Wuhan 430072, ChinaInternational Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan 430072, ChinaSchool of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, Suzhou 215009, ChinaState Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaSchool of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, Suzhou 215009, ChinaSchool of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, Suzhou 215009, ChinaSchool of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, Suzhou 215009, ChinaSchool of Resource and Environmental Sciences, Wuhan University, Wuhan 430072, ChinaAccurate 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.https://www.mdpi.com/2072-4292/16/6/1028Google Earth Engineremote sensing ecological indexGeoDetectoreco-environmental quality |
| spellingShingle | Weiwei Zhang Zixi Liu Kun Qin Shaoqing Dai Huiyuan Lu Miao Lu Jianwan Ji Zhaohui Yang Chao Chen Peng Jia Long-Term Dynamic Monitoring and Driving Force Analysis of Eco-Environmental Quality in China Remote Sensing Google Earth Engine remote sensing ecological index GeoDetector eco-environmental quality |
| title | Long-Term Dynamic Monitoring and Driving Force Analysis of Eco-Environmental Quality in China |
| title_full | Long-Term Dynamic Monitoring and Driving Force Analysis of Eco-Environmental Quality in China |
| title_fullStr | Long-Term Dynamic Monitoring and Driving Force Analysis of Eco-Environmental Quality in China |
| title_full_unstemmed | Long-Term Dynamic Monitoring and Driving Force Analysis of Eco-Environmental Quality in China |
| title_short | Long-Term Dynamic Monitoring and Driving Force Analysis of Eco-Environmental Quality in China |
| title_sort | long term dynamic monitoring and driving force analysis of eco environmental quality in china |
| topic | Google Earth Engine remote sensing ecological index GeoDetector eco-environmental quality |
| url | https://www.mdpi.com/2072-4292/16/6/1028 |
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