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Ecological Vulnerability Assessment and Spatiotemporal Characteristics Analysis of Urban Green-Space Systems in Beijing–Tianjin–Hebei Region

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  • Xiangyu Fu

    (College of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China
    Tangshan Key Laboratory of Resources and Environmental Remote Sensing, Tangshan 063210, China
    Hebei Industrial Technology Institute of Mine Ecological Remediation, Tangshan 063210, China
    Hebei Key Laboratory of Mining Development and Security Technology, Tangshan 063210, China)

  • Yajing Liu

    (College of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China
    Tangshan Key Laboratory of Resources and Environmental Remote Sensing, Tangshan 063210, China
    Hebei Industrial Technology Institute of Mine Ecological Remediation, Tangshan 063210, China
    Hebei Key Laboratory of Mining Development and Security Technology, Tangshan 063210, China)

Abstract

The evaluation and analysis of the ecological vulnerability of urban green-space systems are conducive to the sustainable development of urban green-space systems. Taking the urban green-space system in the Beijing–Tianjin–Hebei region in 2010, 2015, and 2020 as the research object, an ESSR model was first constructed, and a total of ten types of impact factors were integrated into the four dimensions of “Exposure, Sensitivity, State and Response”. The weight of the impact factors was objectively determined via spatial principal component analysis, and the ecological vulnerability of the urban green-space system was evaluated via superposition analysis; the evaluation’s results were graded. Moreover, the transfer matrix, center-of-gravity migration model, standard deviation ellipse, and spatial autocorrelation analysis were used to study the temporal and spatial variation characteristics of the evaluation results; then, the driving force of impact factors was analyzed based on a geographical detector. Finally, the rationality of the evaluation results was verified using the changing trend of the remote sensing ecological index (RSEI). The results show that the ecological vulnerability of the urban green-space system in the Beijing–Tianjin–Hebei region has decreased year by year for the past ten years. The distribution law of “Hebei surrounds Beijing and Tianjin” is presented in this space, and 2015 is the mutation node. In 2010, the moderately and severely vulnerable areas of Hebei surrounded the mildly vulnerability areas of Beijing and Tianjin. Moreover, in 2015 and 2020, the mildly vulnerable areas of Hebei surrounded the severely vulnerable areas of Beijing and Tianjin. Vulnerability expands slightly in the east–west direction and shrinks slightly in the north–south direction, and the center of gravity shifts towards Beijing year by year along the northeast direction. Moreover, the spatial distribution of vulnerability shows significant positive spatial autocorrelations and exhibits very obvious agglomeration. In addition, vulnerability is the result of the combined effect of various factors, and education degree, human disturbance index, and annual average precipitation are the dominant factors. The analysis results provide a reference for the effective application and sustainable development of urban green-space ecological functions.

Suggested Citation

  • Xiangyu Fu & Yajing Liu, 2024. "Ecological Vulnerability Assessment and Spatiotemporal Characteristics Analysis of Urban Green-Space Systems in Beijing–Tianjin–Hebei Region," Sustainability, MDPI, vol. 16(6), pages 1-25, March.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:6:p:2289-:d:1354258
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    References listed on IDEAS

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    1. Ralf-Uwe Syrbe & Ina Neumann & Karsten Grunewald & Patrycia Brzoska & Jiři Louda & Birgit Kochan & Jan Macháč & Lenka Dubová & Petr Meyer & Jan Brabec & Olaf Bastian, 2021. "The Value of Urban Nature in Terms of Providing Ecosystem Services Related to Health and Well-Being: An Empirical Comparative Pilot Study of Cities in Germany and the Czech Republic," Land, MDPI, vol. 10(4), pages 1-26, March.
    2. Zhixian Sun & Yang Liu & Hongbin Sang, 2023. "Spatial-Temporal Variation and Driving Factors of Ecological Vulnerability in Nansi Lake Basin, China," IJERPH, MDPI, vol. 20(3), pages 1-16, February.
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