IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i16p12200-d1213866.html
   My bibliography  Save this article

Spatial and Temporal Evolutionary Characteristics of Vegetation in Different Geomorphic Zones of Loess Plateau and Its Driving Factor Analysis

Author

Listed:
  • Xue Li

    (State Key Lab of Ecological Water Resources in Northwest Arid Zone, Xi’an University of Technology, Xi’an 710048, China
    Key Laboratory of National Forestry Administration on Ecological Hydrology and Disaster Prevention in Arid Regions, Xi’an University of Technology, Xi’an 710048, China)

  • Kunxia Yu

    (State Key Lab of Ecological Water Resources in Northwest Arid Zone, Xi’an University of Technology, Xi’an 710048, China
    Key Laboratory of National Forestry Administration on Ecological Hydrology and Disaster Prevention in Arid Regions, Xi’an University of Technology, Xi’an 710048, China)

  • Xiang Zhang

    (Intelligent Environmental Protection Integrated Command Center, Xi’an Bureau of Ecology and Environment, Xi’an 710024, China)

  • Guojun Zhang

    (Ningxia Soil and Conservancy Water Surveillance Station, Yinchuan 750000, China)

  • Zhanbin Li

    (State Key Lab of Ecological Water Resources in Northwest Arid Zone, Xi’an University of Technology, Xi’an 710048, China
    Key Laboratory of National Forestry Administration on Ecological Hydrology and Disaster Prevention in Arid Regions, Xi’an University of Technology, Xi’an 710048, China)

  • Peng Li

    (State Key Lab of Ecological Water Resources in Northwest Arid Zone, Xi’an University of Technology, Xi’an 710048, China
    Key Laboratory of National Forestry Administration on Ecological Hydrology and Disaster Prevention in Arid Regions, Xi’an University of Technology, Xi’an 710048, China)

  • Xiaoming Zhang

    (China Institute of Water Resources and Hydropower Research, Beijing 100000, China)

  • Yang Zhao

    (China Institute of Water Resources and Hydropower Research, Beijing 100000, China)

  • Wentao Ma

    (Intelligent Environmental Protection Integrated Command Center, Xi’an Bureau of Ecology and Environment, Xi’an 710024, China)

Abstract

Based on MODIS NDVI and a meteorological dataset, this study analyzed the spatial and temporal variation characteristics of vegetation cover in different geomorphic zones of Loess Plateau (LP) from 2000 to 2020 with trend analysis, partial correlation, residual analysis and the CA–Markov method and discussed the driving factors. The research results show that: (1) There are spatial differences in vegetation coverage in different geomorphic regions. The Loess Hills and Forests zone (LF) exhibits the highest coverage, with a multi-year average of 86.64%, and the Arid Grassland (AG) has the poorest vegetation with only 8.53%. Overall, there has been significant improvement in vegetation coverage over the past two decades, although certain geomorphic zones, particularly the Highland Steppe zone (HS) and Alluvial Plains zone (AP), show signs of degradation. (2) Relative humidity has the greatest impact on vegetation among the three climate factors, i.e., relative humidity, precipitation and temperature. Relative humidity predominantly promotes vegetation in all geomorphic zones. Temperature generally inhibits vegetation growth, except in the Wind Sandy zone (WA) and AG. The impact of precipitation on vegetation depends on the region. A lag effect is observed, with temperature and humidity showing a one-month lag and precipitation showing a two-month lag on vegetation response. (3) Human activities play a crucial role in promoting vegetation, particularly in the WA zone, in which the percentage of area where human activities contribute to vegetation has changed from 13.80% to 86.85%, an increase of 73.05%, while the HS experiences an inhibitory effect due to overgrazing and water resource overutilization. Similarly, the AP zone’s vegetation growth is hindered by urban development and land use changes. (4) Land use change significantly impacts vegetation dynamics on the LP. Over the past two decades, the area of forest lawn increased by 122,800 km 2 , which is 1.5 times more than the area of reduction. However, conversion to building land has hindered vegetation growth in certain regions. A comprehensive strategy is required to conserve land resources and promote healthy vegetation growth on the LP.

Suggested Citation

  • Xue Li & Kunxia Yu & Xiang Zhang & Guojun Zhang & Zhanbin Li & Peng Li & Xiaoming Zhang & Yang Zhao & Wentao Ma, 2023. "Spatial and Temporal Evolutionary Characteristics of Vegetation in Different Geomorphic Zones of Loess Plateau and Its Driving Factor Analysis," Sustainability, MDPI, vol. 15(16), pages 1-19, August.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12200-:d:1213866
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/16/12200/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/16/12200/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Minjuan Lv & Zhiting Chen & Lingling Yao & Xiaohu Dang & Peng Li & Xiaoshu Cao, 2022. "Potential Zoning of Construction Land Consolidation in the Loess Plateau Based on the Evolution of Human–Land Relationship," IJERPH, MDPI, vol. 19(22), pages 1-19, November.
    2. Lu Jia & Kunxia Yu & Zhanbin Li & Zongping Ren & Hongtao Li & Peng Li, 2023. "Identification of Vegetation Coverage Variation and Quantitative the Impact of Environmental Factors on Its Spatial Distribution in the Pisha Sandstone Area," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
    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. Weiyi Lu & Geer Teni & Huishi Du, 2024. "Vegetation–Lake–Sand Landscape of Northeast China Sandy Land between 1980 and 2022: Pattern, Evolution, and Driving Forces," Sustainability, MDPI, vol. 16(8), pages 1-18, April.

    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. Xiaojie Wang & Rongqing Han & Minghua Zhao, 2023. "Evaluation and Impact Mechanism of High-Quality Development in China’s Coastal Provinces," IJERPH, MDPI, vol. 20(2), pages 1-24, January.
    2. Qinglei Zhao & Guanghui Jiang & Mingzhu Wang, 2023. "The Allocation Change of Rural Land Consolidation Type Structure under the Influence Factors of Different Geographical and Economic Development of China," IJERPH, MDPI, vol. 20(6), pages 1-21, March.

    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:16:p:12200-:d:1213866. 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.