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Research on the Construction and Optimization of Shenzhen’s Ecological Network Based on MSPA and Circuit Theory

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  • Hao Li

    (School of Architecture, South China University of Technology, Guangzhou 510641, China
    College of Engineering and Architecture, Guizhou Vocational Technology Institute, Guizhou Open University, Guiyang 550023, China
    State Key Laboratory of Subtropical Building and Urban Science, South China University of Technology, Guangzhou 510641, China)

  • Xiaoxiang Tang

    (School of Architecture, South China University of Technology, Guangzhou 510641, China
    State Key Laboratory of Subtropical Building and Urban Science, South China University of Technology, Guangzhou 510641, China)

  • Cheng Zou

    (School of Architecture, South China University of Technology, Guangzhou 510641, China
    State Key Laboratory of Subtropical Building and Urban Science, South China University of Technology, Guangzhou 510641, China)

  • Huanyu Guo

    (College of Water Conservancy and Civil Engineering, South China Agricultural University, Guangzhou 510642, China)

Abstract

Under the dual pressures of rapid urbanization and intense human socioeconomic activities, habitat fragmentation and poor landscape connectivity have become critical issues in cities. Constructing ecological networks is essential for maintaining urban ecosystem health and promoting sustainable environmental development. It represents an effective approach to balancing regional economic growth with ecological conservation. This study focused on the Shenzhen Special Economic Zone. Ecological sources were identified using Morphological Spatial Pattern Analysis (MSPA) and landscape connectivity assessment. Circuit theory was applied to extract ecological corridors, ecological pinch points, and ecological barriers. The importance levels of ecological corridors were classified to form an ecological network. The network was optimized by adding ecological sources, stepping stones, and restoring breakpoints. Its structure and functionality were evaluated before and after optimization. The results indicate the following: (1) The core area in Shenzhen City Area covers 426.67 km 2 , the largest proportion among landscape types. It exhibits high fragmentation, low connectivity, and a spatial pattern characterized as “dense in the east and west, sparse in the center.” (2) Seventeen ecological sources were identified, consisting of 8 key sources, 5 important sources, and 4 general sources, accounting for 17.62% of the total area. Key sources are mainly distributed in forested regions such as Wutong Mountain, Maluan Mountain, Paiya Mountain, and Qiniang Mountain in the southeast. (3) Twenty-six ecological corridors form a woven network, with a total length of 127.44 km. Among these, 13 key corridors are concentrated in the eastern region, while 7 important corridors and 6 general corridors are distributed in the western and central parts. Few corridors exist in the southwest and southeast, leading to ecological flow interruption. (4) The optimized ecological network includes 12 newly added ecological source areas, 20 optimized ecological corridors, 120 ecological pinch points, and 26 ecological barriers. The maximum current value increased from 10.60 to 20.51, indicating significantly enhanced connectivity. The results provide important guidance for green space planning, biodiversity conservation, and ecosystem functionality enhancement in Shenzhen City Area.

Suggested Citation

  • Hao Li & Xiaoxiang Tang & Cheng Zou & Huanyu Guo, 2025. "Research on the Construction and Optimization of Shenzhen’s Ecological Network Based on MSPA and Circuit Theory," Sustainability, MDPI, vol. 17(21), pages 1-26, November.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:21:p:9779-:d:1786218
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