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Spatial Differentiation of Land Use and Landscape Pattern Changes in the Beijing–Tianjin–Hebei Area

Author

Listed:
  • Yafei Wang

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Xiaoli Zhao

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)

  • Lijun Zuo

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)

  • Zengxiang Zhang

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)

  • Xiao Wang

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)

  • Ling Yi

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)

  • Fang Liu

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)

  • Jinyong Xu

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)

Abstract

Landscape pattern analysis based on geometric features effectively reflects the spatial patterns of land use. Based on the administrative boundaries of prefecture-level cities, the Beijing–Tianjin–Hebei collaborative development area is divided into three sub-regions, according to ecological–production–living functions. We used remote sensing data of long time series land-use change from late 1980 to 2015, and analyzed landscape pattern changes and spatial differentiation in the past 30 years. The results show that: (1) The main type of land-use change was the flow of cultivated land to urban construction land, and the urbanization process was significant. (2) The urban construction land was the landscape type with the highest degree of fragmentation and maximum land-use change in the region. (3) The patch density in the Beijing–Tianjin–Hebei area increased while the average patch area decreased, and the entire landscape tended towards significant fragmentation. The Shannon diversity and evenness indexes continued to increase, indicating that the overall landscape in this region is heterogeneous and diversified. The ecological and environmental protection measures implemented in this region so far have achieved results, but require more stringent measures to ensure the total diversification of land use in the region.

Suggested Citation

  • Yafei Wang & Xiaoli Zhao & Lijun Zuo & Zengxiang Zhang & Xiao Wang & Ling Yi & Fang Liu & Jinyong Xu, 2020. "Spatial Differentiation of Land Use and Landscape Pattern Changes in the Beijing–Tianjin–Hebei Area," Sustainability, MDPI, vol. 12(7), pages 1-15, April.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:7:p:3040-:d:343734
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    Citations

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    Cited by:

    1. Jia Zhao & Yuluan Zhao & Xiaopiao Yang, 2022. "Evolution Characteristics and Driving Mechanism of the Territorial Space Pattern in the Yangtze River Economic Belt, China," Land, MDPI, vol. 11(9), pages 1-29, September.
    2. Lijia Zhang & Zihan Zhai & Yan Zhou & Shihan Liu & Liwei Wang, 2022. "The Landscape Pattern Evolution of Typical Open-Pit Coal Mines Based on Land Use in Inner Mongolia of China during 20 Years," Sustainability, MDPI, vol. 14(15), pages 1-14, August.
    3. Carsten Juergens & Fabian M. Meyer-Heß & Marcus Goebel & Torsten Schmidt, 2021. "Remote Sensing for Short-Term Economic Forecasts," Sustainability, MDPI, vol. 13(17), pages 1-23, August.
    4. Huang Yu & Shanshan Du & Jingqiu Zhang & Jinglei Chen, 2023. "Spatial Evolution and Multi-Scenario Simulation of Rural “Production–Ecological–Living” Space: A Case Study for Beijing, China," Sustainability, MDPI, vol. 15(3), pages 1-19, January.

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