Multisource Remote Sensing Monitoring and Analysis of the Driving Forces of Vegetation Restoration in the Mu Us Sandy Land

Zhao Wang, Tinglong Zhang (), Chenyang Pei, Xiaonan Zhao, Yingying Li, Shuai Hu, Chongfeng Bu and Qingfeng Zhang
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Zhao Wang: College of Natural Resources and Environment, Northwest Agriculture and Forestry University, Xianyang 712100, China
Tinglong Zhang: College of Natural Resources and Environment, Northwest Agriculture and Forestry University, Xianyang 712100, China
Chenyang Pei: College of Natural Resources and Environment, Northwest Agriculture and Forestry University, Xianyang 712100, China
Xiaonan Zhao: College of Natural Resources and Environment, Northwest Agriculture and Forestry University, Xianyang 712100, China
Yingying Li: College of Natural Resources and Environment, Northwest Agriculture and Forestry University, Xianyang 712100, China
Shuai Hu: College of Natural Resources and Environment, Northwest Agriculture and Forestry University, Xianyang 712100, China
Chongfeng Bu: Institute of Soil and Water Conservation, Northwest Agriculture and Forestry University, Xianyang 712100, China
Qingfeng Zhang: College of Natural Resources and Environment, Northwest Agriculture and Forestry University, Xianyang 712100, China

Land, 2022, vol. 11, issue 9, 1-21

Abstract: 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.

Keywords: Mu Us Sandy Land; fractional vegetation cover; multisource remote sensing; driving factor; geodetectors; random forest (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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