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Study on the Spatial and Temporal Evolution of Regional Green Space Morphology Outside Built-Up Areas based on the Google Earth Engine and Biophysical Component Modeling

Author

Listed:
  • Yiwen Ji

    (Art School, Anhui Jianzhu University, Hefei 230022, China
    Anhui Cultural Tourism Innovative Development Research Institute, Hefei 230022, China
    These authors contributed equally to this work.)

  • Lang Zhang

    (Key Laboratory of National Forestry and Grassland Administration on Ecological Landscaping of Challenging Urban Sites, Shanghai Academy of Landscape Architecture Science and Planning, Shanghai 200232, China
    College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China
    These authors contributed equally to this work.)

  • Xinchen Gu

    (State Key Laboratory of Hydraulic Engineering Simulation and Safety, School of Civil Engineering, Tianjin University, Tianjin 300072, China
    China Institute of Water Resources and Hydropower Research, Beijing 100044, China)

  • Lei Zhang

    (School of Architecture and Planning, Anhui Jianzhu University, Hefei 230022, China)

Abstract

The spatial pattern of regional green space is an important dimension to describe and quantitatively express the characteristics of regional green spaces outside the built-up area of a city. With the expansion of urban and rural construction land, regional green space has been continuously encroached upon. This leads to a decline in regional ecological well-being and the loss of biodiversity. Based on the remote sensing data of Shanghai city from 2000 to 2020, we quantitatively studied the spatial morphological change characteristics of regional green space outside the built-up area of Shanghai city. Firstly, with the help of the GEE platform, the optimal decoding accuracy classification method was selected through machine learning (random forest, support vector machine, classification regression tree); then, based on the biophysical component (BCI) and CA binarization, the built-up area ranges for up to five time nodes were obtained; finally, through GIS spatial data analysis and processing technology, the regional green space dynamic data of Shanghai for five time nodes were extracted. Based on the above data, an analysis index system was constructed to quantitatively analyze the spatial morphology characteristics of the regional green space outside the built-up area of Shanghai. The results show that (1) the area of regional green space outside the built-up area of Shanghai had a fluctuating growth pattern of “decreasing and then increasing”. The arable land and water areas in Shanghai decreased, and the woodland area increased steadily, while the wetland and grassland areas showed a trend of first decreasing and then increasing. (2) The regional green patch fragmentation shows a fluctuating development trend of increasing, decreasing, and increasing. (3) The change in the spatial center of gravity of the regional green space in Shanghai had a high degree of consistency with the overall green space change. The center of gravity of the grasslands in the regional green space moved substantially to the northwest, while the center of gravity of the other types remained basically unchanged. This study reveals the spatial morphology characteristics of regional green spaces and provides a research method to study the dynamic changes in regional ecological resources. The results of this study can provide a scientific basis for the identification, protection, and development of regional ecological resources.

Suggested Citation

  • Yiwen Ji & Lang Zhang & Xinchen Gu & Lei Zhang, 2023. "Study on the Spatial and Temporal Evolution of Regional Green Space Morphology Outside Built-Up Areas based on the Google Earth Engine and Biophysical Component Modeling," Land, MDPI, vol. 12(12), pages 1-22, December.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:12:p:2184-:d:1302323
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    References listed on IDEAS

    as
    1. Ziyang Wang & Peiji Shi & Jing Shi & Xuebin Zhang & Litang Yao, 2023. "Research on Land Use Pattern and Ecological Risk of Lanzhou–Xining Urban Agglomeration from the Perspective of Terrain Gradient," Land, MDPI, vol. 12(5), pages 1-20, April.
    2. Weiqi Zhao & Yun Wang & Dan Chen & Ling Wang & Xiaomin Tang, 2021. "Exploring the Influencing Factors of the Recreational Utilization and Evaluation of Urban Ecological Protection Green Belts for Urban Renewal: A Case Study in Shanghai," IJERPH, MDPI, vol. 18(19), pages 1-18, September.
    3. repec:arz:wpaper:eres2013-274 is not listed on IDEAS
    4. Alan W. Evans, 2013. "The Myths and Reality of Urban Constraint in United Kingdom: Changing Circumstances and Unchanged Policies," ERES eres2013_274, European Real Estate Society (ERES).
    5. Xiaofeng Zhao & Mingming Zhang & Ying Li & Xianjin Huang & Baiyuan Wang & Lin Zhang, 2020. "Urban residential land expansion and agglomeration in China: a spatial analysis approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(6), pages 5317-5335, August.
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