Spatiotemporal Variation and Driving Factors of Ecological Environment Quality on the Loess Plateau in China from 2000 to 2020
The Loess Plateau (LP) in China is an ecologically fragile region that has long faced challenges such as soil erosion, water shortages, and land degradation. The spatial and temporal variations in ecological environment quality on the LP from 2000 to 2020 were analyzed using the Remote Sensing Ecolo...
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MDPI AG
2024-12-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/16/24/4778 |
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| author | Shuaizhi Kang Xia Jia Yonghua Zhao Lei Han Chaoqun Ma Yu Bai |
| author_facet | Shuaizhi Kang Xia Jia Yonghua Zhao Lei Han Chaoqun Ma Yu Bai |
| author_sort | Shuaizhi Kang |
| collection | DOAJ |
| description | The Loess Plateau (LP) in China is an ecologically fragile region that has long faced challenges such as soil erosion, water shortages, and land degradation. The spatial and temporal variations in ecological environment quality on the LP from 2000 to 2020 were analyzed using the Remote Sensing Ecological Index (RSEI) on the Google Earth Engine (GEE) platform. The Sen, Mann–Kendall, and Hurst exponent analyses were used to examine the spatial variation trends over the past 20 years, while Geodetector identified key factors influencing RSEI changes and their interactions. The results indicate that (1) RSEI effectively represents the ecological and environmental quality of the LP, with 47% of the study area’s annual mean RSEI values over the 20-year period classified as moderate, ranging from 0.017 to 0.815. (2) Ecological quality trends showed improvement in 72% of the area, with a 90% overall increase, but 84% of these trends are not likely to continue. (3) Key factors influencing RSEI changes during abrupt change years included precipitation, land use/land cover, and soil sediment content, with precipitation and topography emerging as primary influences on ecological quality. Although natural factors largely drive ecological changes, human activities also exert both positive and negative effects. This study underscores the importance of sustainable ecological management and provides policy insights for advancing ecological civilization on the LP, contributing to the achievement of the Sustainable Development Goals (SDGs). |
| format | Article |
| id | doaj-art-d928ce11b2ac473a847d0189b433e316 |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
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| series | Remote Sensing |
| spelling | doaj-art-d928ce11b2ac473a847d0189b433e3162024-12-27T14:51:11ZengMDPI AGRemote Sensing2072-42922024-12-011624477810.3390/rs16244778Spatiotemporal Variation and Driving Factors of Ecological Environment Quality on the Loess Plateau in China from 2000 to 2020Shuaizhi Kang0Xia Jia1Yonghua Zhao2Lei Han3Chaoqun Ma4Yu Bai5School of Land Engineering, Chang’an University, Xi’an 710054, ChinaSchool of Land Engineering, Chang’an University, Xi’an 710054, ChinaSchool of Land Engineering, Chang’an University, Xi’an 710054, ChinaSchool of Land Engineering, Chang’an University, Xi’an 710054, ChinaSchool of Land Engineering, Chang’an University, Xi’an 710054, ChinaSchool of Land Engineering, Chang’an University, Xi’an 710054, ChinaThe Loess Plateau (LP) in China is an ecologically fragile region that has long faced challenges such as soil erosion, water shortages, and land degradation. The spatial and temporal variations in ecological environment quality on the LP from 2000 to 2020 were analyzed using the Remote Sensing Ecological Index (RSEI) on the Google Earth Engine (GEE) platform. The Sen, Mann–Kendall, and Hurst exponent analyses were used to examine the spatial variation trends over the past 20 years, while Geodetector identified key factors influencing RSEI changes and their interactions. The results indicate that (1) RSEI effectively represents the ecological and environmental quality of the LP, with 47% of the study area’s annual mean RSEI values over the 20-year period classified as moderate, ranging from 0.017 to 0.815. (2) Ecological quality trends showed improvement in 72% of the area, with a 90% overall increase, but 84% of these trends are not likely to continue. (3) Key factors influencing RSEI changes during abrupt change years included precipitation, land use/land cover, and soil sediment content, with precipitation and topography emerging as primary influences on ecological quality. Although natural factors largely drive ecological changes, human activities also exert both positive and negative effects. This study underscores the importance of sustainable ecological management and provides policy insights for advancing ecological civilization on the LP, contributing to the achievement of the Sustainable Development Goals (SDGs).https://www.mdpi.com/2072-4292/16/24/4778remote sensing ecological indexecological environment qualityRSEILoess PlateauGeodetector |
| spellingShingle | Shuaizhi Kang Xia Jia Yonghua Zhao Lei Han Chaoqun Ma Yu Bai Spatiotemporal Variation and Driving Factors of Ecological Environment Quality on the Loess Plateau in China from 2000 to 2020 Remote Sensing remote sensing ecological index ecological environment quality RSEI Loess Plateau Geodetector |
| title | Spatiotemporal Variation and Driving Factors of Ecological Environment Quality on the Loess Plateau in China from 2000 to 2020 |
| title_full | Spatiotemporal Variation and Driving Factors of Ecological Environment Quality on the Loess Plateau in China from 2000 to 2020 |
| title_fullStr | Spatiotemporal Variation and Driving Factors of Ecological Environment Quality on the Loess Plateau in China from 2000 to 2020 |
| title_full_unstemmed | Spatiotemporal Variation and Driving Factors of Ecological Environment Quality on the Loess Plateau in China from 2000 to 2020 |
| title_short | Spatiotemporal Variation and Driving Factors of Ecological Environment Quality on the Loess Plateau in China from 2000 to 2020 |
| title_sort | spatiotemporal variation and driving factors of ecological environment quality on the loess plateau in china from 2000 to 2020 |
| topic | remote sensing ecological index ecological environment quality RSEI Loess Plateau Geodetector |
| url | https://www.mdpi.com/2072-4292/16/24/4778 |
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