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Spatial-Temporal Pattern and Driving Forces of Fractional Vegetation Coverage in Xiong’an New Area of China from 2005 to 2019

Author

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  • Zhiqing Huang

    (Beijing Key Laboratory of Environmental Remote Sensing and Digital City, Department of Geographic Science, Beijing Normal University, Beijing 100875, China
    State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
    Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Haitao Qiu

    (Aerospace Long-March International Trade Co., Ltd., Beijing 100054, China)

  • Yonggang Cao

    (Weihai Municipal Water Resources Affairs Service Center, Weihai 264200, China)

  • Adu Gong

    (Beijing Key Laboratory of Environmental Remote Sensing and Digital City, Department of Geographic Science, Beijing Normal University, Beijing 100875, China
    State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
    Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Jiaxiang Wang

    (College of Earth Science, Chengdu University of Technology, Chengdu 610059, China)

Abstract

The Xiong’an New Area was officially established in 2018 to construct a new, intelligent, and efficient urban area to alleviate Beijing’s non-capital functions. Using Landsat satellite images, we employed the dimidiate pixel model, band operation, and transition matrix to analyze the temporal and spatial variations in FVC (Fractional Vegetation Coverage) within the Xiong’an New Area in 2005, 2013, and 2019, respectively. Urbanization rate, precipitation, temperature, and population were considered potential driving forces, which we analyzed using grey relational analysis and linear regression to explore the correlation between FVC and these factors. The findings are as follows: from 2005 to 2019, overall improvement and significant degradation have been observed. In Baiyangdian, a part of the national key ecological area, water bodies and FVC have increased. Grey relational analysis revealed that precipitation had the highest grey relational value of 0.76. The average correlation among natural factors was 0.67, while that among human factors was 0.60. Generally, the Xiong’an New Area vegetation exhibited instability, while Baiyangdian demonstrated relatively stable FVC. Grey relational analysis indicates a strong potential for social and economic development in the Xiong’an New Area.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:15:p:11985-:d:1210304
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    References listed on IDEAS

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    1. Jingeng Huo & Zhenqin Shi & Wenbo Zhu & Hua Xue & Xin Chen, 2022. "A Multi-Scenario Simulation and Optimization of Land Use with a Markov–FLUS Coupling Model: A Case Study in Xiong’an New Area, China," Sustainability, MDPI, vol. 14(4), pages 1-20, February.
    2. Auwalu Faisal Koko & Wu Yue & Ghali Abdullahi Abubakar & Roknisadeh Hamed & Akram Ahmed Noman Alabsi, 2020. "Monitoring and Predicting Spatio-Temporal Land Use/Land Cover Changes in Zaria City, Nigeria, through an Integrated Cellular Automata and Markov Chain Model (CA-Markov)," Sustainability, MDPI, vol. 12(24), pages 1-21, December.
    3. Camille Parmesan & Gary Yohe, 2003. "A globally coherent fingerprint of climate change impacts across natural systems," Nature, Nature, vol. 421(6918), pages 37-42, January.
    4. 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.
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