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Construction of Long-Term Grid-Scale Decoupling Model: A Case Study of Beijing-Tianjin-Hebei Region

Author

Listed:
  • Xvlu Wang

    (School of Information Engineering, China University of Geosciences (Beijing), Beijing 100083, China
    Frontiers Science Center for Deep-Time Digital Earth, China University of Geosciences (Beijing), Beijing 100083, China)

  • Minrui Zheng

    (School of Public Administration and Policy, Renmin University of China, Beijing 100872, China
    Digital Government and National Governance Lab, Renmin University of China, Beijing 100872, China)

  • Dongya Liu

    (School of Information Engineering, China University of Geosciences (Beijing), Beijing 100083, China)

  • Peipei Wang

    (School of Information Engineering, China University of Geosciences (Beijing), Beijing 100083, China)

  • Xinqi Zheng

    (School of Information Engineering, China University of Geosciences (Beijing), Beijing 100083, China
    Technology Innovation Center for Territory Spatial Big-Data, Ministry of Natural Resources of the People’s Republic of China, Beijing 100036, China
    Observation and Research Station of Beijing Fangshan Comprehensive Exploration, Ministry of Natural Resources, Beijing 100083, China)

  • Yin Ma

    (China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, China Geological Survey, Beijing 100083, China)

  • Feng Xu

    (School of Information Engineering, China University of Geosciences (Beijing), Beijing 100083, China)

  • Xiaoyuan Zhang

    (School of Information Engineering, China University of Geosciences (Beijing), Beijing 100083, China)

  • Tongshuai Rong

    (Yantai Laiyang Environmental Monitoring Center (Yantai), Yantai 265200, China)

Abstract

Against the backdrop of rapid global economic development, the Beijing-Tianjin-Hebei (BTH) region, a pivotal economic hub and environmentally sensitive area in China, faces significant challenges in sustaining its landscape ecosystem. Given the region’s strategic importance and vulnerability to environmental pressures, this study investigated the intricate relationships between landscape ecological risk, urban expansion, and economic growth (EG) in the BTH region. Utilizing the landscape as the focal point, we constructed a decoupling model at the grid scale to explore the decoupling relationship between the landscape ecological risk index (ERI), construction area growth (CAG), and EG. The results showed that (1) distinct stages and regional disparities were observed in the trends of ERI, CAG, and EG within the BTH region. The hot and cold spot patterns for these factors did not align consistently. (2) From 1995 to 2019, the coupling relationship between ERI, CAG, and EG in the BTH region underwent a fluctuating transition, initially moving from an undesirable state to an ideal state, and subsequently reverting to an undesirable state. Although the overall trends in these relationships showed some convergence, there were notable spatial distribution differences. (3) The spatial heterogeneity of the two decoupling relationships in the BTH region was relatively poor. Further analysis revealed that the evolution of these decoupling relationships was closely intertwined with regional policy shifts and adjustments.

Suggested Citation

  • Xvlu Wang & Minrui Zheng & Dongya Liu & Peipei Wang & Xinqi Zheng & Yin Ma & Feng Xu & Xiaoyuan Zhang & Tongshuai Rong, 2024. "Construction of Long-Term Grid-Scale Decoupling Model: A Case Study of Beijing-Tianjin-Hebei Region," Land, MDPI, vol. 13(11), pages 1-22, November.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:11:p:1853-:d:1515420
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