IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i3p1922-d1041396.html
   My bibliography  Save this article

Geographic Exploration of the Driving Forces of the NDVI Spatial Differentiation in the Upper Yellow River Basin from 2000 to 2020

Author

Listed:
  • Jinxu Han

    (China Institute of Water Resources and Hydropower Research, Beijing 100038, China
    Yellow River Institute of Hydraulic Research, Zhengzhou 450003, China
    Henan Key Laboratory of YB Ecological Protection and Restoration, Zhengzhou 450003, China)

  • Xiangyu Zhang

    (Yellow River Institute of Hydraulic Research, Zhengzhou 450003, China
    Henan Key Laboratory of YB Ecological Protection and Restoration, Zhengzhou 450003, China)

  • Jianhua Wang

    (China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Jiaqi Zhai

    (China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

Abstract

Meteorological factors and human activities are important factors affecting vegetation change. The change in the Upper Yellow River Basin’s (UYRB’s) ecological environment greatly impacts the ecological environment in the middle and lower reaches of the Yellow River. The purpose of this study was to evaluate remotely sensed imageries and vegetation indices as tools for accurately quantifying the driving forces of vegetation distribution. To accomplish this, we utilized the normalized difference vegetation index (NDVI) to examine the temporal and spatial variability of the vegetation distribution in the UYRB between 2000 and 2020. Based on the geographic detector method, the spatial differentiation, driving force, interaction, and suitability of the NDVI were detected. From 2000 to 2020, the estimated annual NDVI value of the UYRB was 0.515, with notable geographic variation in the distribution. The NDVI showed an obvious upward trend with a rate of 0.038 per 10 years. The vegetation coverage significantly improved. However, the vegetation coverage at the source area of the Yellow River marginally deteriorated. The primary driving factors affecting the spatial distribution of the NDVI were yearly precipitation, elevation, soil type, vegetation type, and annual average temperature, with a predictive power of 47%, 46%, 44%, 41%, and 40%, respectively. The interplay of the components had a stronger impact on the NDVI, and the interaction between the yearly precipitation and the soil type had the highest predictive power, reaching 61%. Natural factors and human activities influence NDVI change, with natural factors playing a significant role. Therefore, we should continue to implement the project of returning farmland to forest (grass), increase the efficiency of vegetation precipitation use, and promote the growth of vegetation so that ecological restoration continues to be effectively improved.

Suggested Citation

  • Jinxu Han & Xiangyu Zhang & Jianhua Wang & Jiaqi Zhai, 2023. "Geographic Exploration of the Driving Forces of the NDVI Spatial Differentiation in the Upper Yellow River Basin from 2000 to 2020," Sustainability, MDPI, vol. 15(3), pages 1-15, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:1922-:d:1041396
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/3/1922/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/3/1922/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yan Li & Jie Gong & Yunxia Zhang & Bingli Gao, 2022. "NDVI-Based Greening of Alpine Steppe and Its Relationships with Climatic Change and Grazing Intensity in the Southwestern Tibetan Plateau," Land, MDPI, vol. 11(7), pages 1-16, June.
    2. Shulin Chen & Zhenghao Zhu & Xiaotong Liu & Li Yang, 2022. "Variation in Vegetation and Its Driving Force in the Pearl River Delta Region of China," IJERPH, MDPI, vol. 19(16), pages 1-15, August.
    Full references (including those not matched with items on IDEAS)

    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. Meng Wang & Zhengfeng An, 2022. "Regional and Phased Vegetation Responses to Climate Change Are Different in Southwest China," Land, MDPI, vol. 11(8), pages 1-21, July.
    2. Xiuyan Zhang & Yuhui Yang & Haoyue Gao & Shu Xu & Jianming Feng & Tianling Qin, 2024. "Land Cover Changes and Driving Factors in the Source Regions of the Yangtze and Yellow Rivers over the Past 40 Years," Land, MDPI, vol. 13(2), pages 1-24, February.
    3. Miaomiao Liu & Guishan Chen & Guanhua Li & Yingyu Huang & Kaiwei Luo & Changfa Zhan, 2023. "Landscape Evolution and Its Driving Forces in the Rapidly Urbanized Guangdong–Hong Kong–Macao Greater Bay Area, a Case Study in Zhuhai City, South China," Sustainability, MDPI, vol. 15(17), pages 1-23, August.
    4. Zhiqing Huang & Haitao Qiu & Yonggang Cao & Adu Gong & Jiaxiang Wang, 2023. "Spatial-Temporal Pattern and Driving Forces of Fractional Vegetation Coverage in Xiong’an New Area of China from 2005 to 2019," Sustainability, MDPI, vol. 15(15), pages 1-25, August.

    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:jsusta:v:15:y:2023:i:3:p:1922-:d:1041396. 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.