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Ecological Security Pattern Construction and Multi-Scenario Risk Early Warning (2020–2035) in the Guangdong–Hong Kong–Macao Greater Bay Area, China

Author

Listed:
  • Junjie Ma

    (School of Geography, South China Normal University, Guangzhou 510631, China)

  • Zhixiong Mei

    (School of Geography, South China Normal University, Guangzhou 510631, China)

  • Xinyu Wang

    (School of Geography, South China Normal University, Guangzhou 510631, China)

  • Sichen Li

    (School of Geography, South China Normal University, Guangzhou 510631, China)

  • Jiangsen Liang

    (School of Geography, South China Normal University, Guangzhou 510631, China)

Abstract

The effectiveness of ecological security patterns (ESPs) in maintaining regional ecological stability and promoting sustainable development is widely recognized. However, limited research has focused on the early warning of risks inherent in ESPs. In this study, the Guangdong–Hong Kong–Macao Greater Bay Area (GHKMGBA) is taken as the study area, and ecological security risk zones are delineated by combining the landscape ecological risk index and habitat quality, and a multi-level ESP is constructed based on the circuit theory. The PLUS model was employed to simulate future built-up land expansion under different scenarios, which were then extracted and overlaid with the multi-level ESP to enable the multi-scenario early warning of ESP risks. The results showed the following: The ESP in the central plains and coastal areas of the GHKMGBA exhibits a high level of ecological security risk, whereas the peripheral forested areas face less threat, which is crucial for regional ecological stability. The ESP, comprising ecological sources, corridors, and pinch points, is crucial for maintaining regional ecological flow stability, with tertiary corridors under significant stress and risk in all scenarios, requiring focused restoration and enhancement efforts. There are significant differences in risk early warning severity within the ESP across various development scenarios. Under the ecological protection scenario, the ESP will have the best early warning situation, effectively protecting ecological land and reducing ecological damage, providing a valuable reference for regional development policies. However, it must not overlook economic development and still needs to further seek a balance between economic growth and ecological protection.

Suggested Citation

  • Junjie Ma & Zhixiong Mei & Xinyu Wang & Sichen Li & Jiangsen Liang, 2024. "Ecological Security Pattern Construction and Multi-Scenario Risk Early Warning (2020–2035) in the Guangdong–Hong Kong–Macao Greater Bay Area, China," Land, MDPI, vol. 13(8), pages 1-21, August.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:8:p:1267-:d:1454620
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    References listed on IDEAS

    as
    1. Shiru Wang & Qian Song & Jianyun Zhao & Zhibo Lu & Haoxiang Zhang, 2023. "Identification of Key Areas and Early-Warning Points for Ecological Protection and Restoration in the Yellow River Source Area Based on Ecological Security Pattern," Land, MDPI, vol. 12(8), pages 1-20, August.
    2. Jinzhao Chen & Zhixiong Mei & Bin Wang & Junchao Wei, 2022. "Construction of Ecological Security Patterns Based on Circuit Theory under the Resistance Distance Principle," IJERPH, MDPI, vol. 19(10), pages 1-15, May.
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