Multisource Remote Sensing Monitoring and Analysis of the Driving Forces of Vegetation Restoration in the Mu Us Sandy Land
The Mu Us Sandy Land is a key region of man-made desert control and farmland to forest (grass) return in China. Despite global change and the strong influence of human activities, the vegetation in this region has been significantly improved and restored. In this study, multisource remote sensing da...
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MDPI AG
2022-09-01
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| Series: | Land |
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| Online Access: | https://www.mdpi.com/2073-445X/11/9/1553 |
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| author | Zhao Wang Tinglong Zhang Chenyang Pei Xiaonan Zhao Yingying Li Shuai Hu Chongfeng Bu Qingfeng Zhang |
| author_facet | Zhao Wang Tinglong Zhang Chenyang Pei Xiaonan Zhao Yingying Li Shuai Hu Chongfeng Bu Qingfeng Zhang |
| author_sort | Zhao Wang |
| collection | DOAJ |
| description | The Mu Us Sandy Land is a key region of man-made desert control and farmland to forest (grass) return in China. Despite global change and the strong influence of human activities, the vegetation in this region has been significantly improved and restored. In this study, multisource remote sensing data and multiple indicators were used to quantitatively monitor and evaluate the vegetation restoration status in this area. The driving factors were also analysed. The results show that in the past 20 years, nearly the entire Mu Us Sandy Land significantly and substantively recovered. The regional fractional vegetation cover increased, with an average annual growth rate of 0.59% and obvious spatial heterogeneity. The nine most important driving factors could comprehensively account for 58.38% of the spatial distribution of the vegetation coverage. Factors such as land use and land cover, the aridity index, and gross domestic product had the most significant impact, followed by precipitation and temperature. The results confirmed that the vegetation was restored and improved in the Mu Us Sandy Land and determined the main driving factors, which is helpful for vegetation restoration and ecological improvement on sandy land similar to the Mu Us Sandy Land. |
| first_indexed | 2024-03-09T23:25:28Z |
| format | Article |
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| institution | Directory Open Access Journal |
| issn | 2073-445X |
| language | English |
| last_indexed | 2024-03-09T23:25:28Z |
| publishDate | 2022-09-01 |
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| series | Land |
| spelling | doaj.art-7f5899a239fd4bc597b015f3429fee612023-11-23T17:19:02ZengMDPI AGLand2073-445X2022-09-01119155310.3390/land11091553Multisource Remote Sensing Monitoring and Analysis of the Driving Forces of Vegetation Restoration in the Mu Us Sandy LandZhao Wang0Tinglong Zhang1Chenyang Pei2Xiaonan Zhao3Yingying Li4Shuai Hu5Chongfeng Bu6Qingfeng Zhang7College of Natural Resources and Environment, Northwest Agriculture and Forestry University, Xianyang 712100, ChinaCollege of Natural Resources and Environment, Northwest Agriculture and Forestry University, Xianyang 712100, ChinaCollege of Natural Resources and Environment, Northwest Agriculture and Forestry University, Xianyang 712100, ChinaCollege of Natural Resources and Environment, Northwest Agriculture and Forestry University, Xianyang 712100, ChinaCollege of Natural Resources and Environment, Northwest Agriculture and Forestry University, Xianyang 712100, ChinaCollege of Natural Resources and Environment, Northwest Agriculture and Forestry University, Xianyang 712100, ChinaInstitute of Soil and Water Conservation, Northwest Agriculture and Forestry University, Xianyang 712100, ChinaCollege of Natural Resources and Environment, Northwest Agriculture and Forestry University, Xianyang 712100, ChinaThe Mu Us Sandy Land is a key region of man-made desert control and farmland to forest (grass) return in China. Despite global change and the strong influence of human activities, the vegetation in this region has been significantly improved and restored. In this study, multisource remote sensing data and multiple indicators were used to quantitatively monitor and evaluate the vegetation restoration status in this area. The driving factors were also analysed. The results show that in the past 20 years, nearly the entire Mu Us Sandy Land significantly and substantively recovered. The regional fractional vegetation cover increased, with an average annual growth rate of 0.59% and obvious spatial heterogeneity. The nine most important driving factors could comprehensively account for 58.38% of the spatial distribution of the vegetation coverage. Factors such as land use and land cover, the aridity index, and gross domestic product had the most significant impact, followed by precipitation and temperature. The results confirmed that the vegetation was restored and improved in the Mu Us Sandy Land and determined the main driving factors, which is helpful for vegetation restoration and ecological improvement on sandy land similar to the Mu Us Sandy Land.https://www.mdpi.com/2073-445X/11/9/1553Mu Us Sandy Landfractional vegetation covermultisource remote sensingdriving factorgeodetectorsrandom forest |
| spellingShingle | Zhao Wang Tinglong Zhang Chenyang Pei Xiaonan Zhao Yingying Li Shuai Hu Chongfeng Bu Qingfeng Zhang Multisource Remote Sensing Monitoring and Analysis of the Driving Forces of Vegetation Restoration in the Mu Us Sandy Land Land Mu Us Sandy Land fractional vegetation cover multisource remote sensing driving factor geodetectors random forest |
| title | Multisource Remote Sensing Monitoring and Analysis of the Driving Forces of Vegetation Restoration in the Mu Us Sandy Land |
| title_full | Multisource Remote Sensing Monitoring and Analysis of the Driving Forces of Vegetation Restoration in the Mu Us Sandy Land |
| title_fullStr | Multisource Remote Sensing Monitoring and Analysis of the Driving Forces of Vegetation Restoration in the Mu Us Sandy Land |
| title_full_unstemmed | Multisource Remote Sensing Monitoring and Analysis of the Driving Forces of Vegetation Restoration in the Mu Us Sandy Land |
| title_short | Multisource Remote Sensing Monitoring and Analysis of the Driving Forces of Vegetation Restoration in the Mu Us Sandy Land |
| title_sort | multisource remote sensing monitoring and analysis of the driving forces of vegetation restoration in the mu us sandy land |
| topic | Mu Us Sandy Land fractional vegetation cover multisource remote sensing driving factor geodetectors random forest |
| url | https://www.mdpi.com/2073-445X/11/9/1553 |
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