IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i9p1553-d913324.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    Institute of Soil and Water Conservation, CAS & MWR, Xianyang 712100, China)

  • Qingfeng Zhang

    (College of Natural Resources and Environment, Northwest Agriculture and Forestry University, Xianyang 712100, China)

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.

Suggested Citation

  • Zhao Wang & Tinglong Zhang & Chenyang Pei & Xiaonan Zhao & Yingying Li & Shuai Hu & Chongfeng Bu & Qingfeng Zhang, 2022. "Multisource Remote Sensing Monitoring and Analysis of the Driving Forces of Vegetation Restoration in the Mu Us Sandy Land," Land, MDPI, vol. 11(9), pages 1-21, September.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:9:p:1553-:d:913324
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/9/1553/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/11/9/1553/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tianxu Mao & Genxu Wang & Tao Zhang, 2016. "Impacts of Climatic Change on Hydrological Regime in the Three-River Headwaters Region, China, 1960-2009," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(1), pages 115-131, January.
    2. Hao Wang & Fei Yao & Huasheng Zhu & Yuanyuan Zhao, 2020. "Spatiotemporal Variation of Vegetation Coverage and Its Response to Climate Factors and Human Activities in Arid and Semi-Arid Areas: Case Study of the Otindag Sandy Land in China," Sustainability, MDPI, vol. 12(12), pages 1-18, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jiaju Cao & Xingping Wen & Meimei Zhang & Dayou Luo & Yinlong Tan, 2022. "Information Extraction and Prediction of Rocky Desertification Based on Remote Sensing Data," Sustainability, MDPI, vol. 14(20), pages 1-15, October.
    2. Shuhan Gao & Jiaru Wu & Le Ma & Xiaoqian Gong & Qing Zhang, 2022. "Introduction to Sand-Restoration Technology and Model in China," Sustainability, MDPI, vol. 15(1), pages 1-13, December.
    3. Yunzhi Zhang & Tongyan Zheng & Chen Yu & Jing Ren & Xuegang Gong & Hao Wang & Yihao Duan, 2023. "Multi-Perspective Analysis of Land Changes in the Transitional Zone between the Mu Us Desert and the Loess Plateau in China from 2000 to 2020," Land, MDPI, vol. 12(5), pages 1-16, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Linyao Dong & Congsheng Fu & Jigen Liu & Pingcang Zhang, 2018. "Combined Effects of Solar Activity and El Niño on Hydrologic Patterns in the Yoshino River Basin, Japan," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(7), pages 2421-2435, May.
    2. Naveed Ahmed & Genxu Wang & Martijn J. Booij & Sun Xiangyang & Fiaz Hussain & Ghulam Nabi, 2022. "Separation of the Impact of Landuse/Landcover Change and Climate Change on Runoff in the Upstream Area of the Yangtze River, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(1), pages 181-201, January.
    3. Hossein Tabari & Meron Teferi Taye & Charles Onyutha & Patrick Willems, 2017. "Decadal Analysis of River Flow Extremes Using Quantile-Based Approaches," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(11), pages 3371-3387, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:11:y:2022:i:9:p:1553-:d:913324. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.