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<p>Urban land expansion often extends beyond administrative boundaries, creating severe governance challenges due to fragmented ecological landscapes and complex stakeholder interactions. The Shenzhen metropolitan area, one of China’s most rapidly urbanizing regions, exemplifies these challenges through its blurred governance boundaries and fragmented ecological spaces. Grounded in social-ecological system theory, this study constructed a social-ecological network of Intercity Ecological Synergy Regions (IESRs) from 2015 to 2024. We quantified the network’s evolution and validated targeted optimization strategies using network robustness simulations. The results indicate that: (1) spatially, IESRs in the western and eastern regions remain relatively intact, whereas the central region is fragmented; (2) the social-ecological network has expanded, characterized by concentrated governance tasks and significantly improved efficiency; and (3) changes in stakeholders and governance objects have driven a transition from bureaucratic to decentralized collaboration. Simulation results demonstrate that the proposed joint social-ecological optimization strategy yields the highest stability. Compared to the pre-optimization state, this strategy increased the maximum connectivity robustness by 0.156 and the mean value by 0.073. This study provides a replicable analytical framework for understanding the evolution of social-ecological networks. Furthermore, it offers policymakers feasible methods to formulate quantifiable ecological protection policies, thereby supporting sustainable regional development.</p>

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Policy spatialization in cross-regional ecological governance: evolution and optimization of social-ecological networks in the Shenzhen metropolitan area

  • 期刊论文

  • 发表日期：

    2026年1月29日

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  • Guangdong Wu,
  • Yingjian Ren,
  • Longyang Huang,
  • Binxin Yang,
  • Jiawen Li

摘要

Urban land expansion often extends beyond administrative boundaries, creating severe governance challenges due to fragmented ecological landscapes and complex stakeholder interactions. The Shenzhen metropolitan area, one of China’s most rapidly urbanizing regions, exemplifies these challenges through its blurred governance boundaries and fragmented ecological spaces. Grounded in social-ecological system theory, this study constructed a social-ecological network of Intercity Ecological Synergy Regions (IESRs) from 2015 to 2024. We quantified the network’s evolution and validated targeted optimization strategies using network robustness simulations. The results indicate that: (1) spatially, IESRs in the western and eastern regions remain relatively intact, whereas the central region is fragmented; (2) the social-ecological network has expanded, characterized by concentrated governance tasks and significantly improved efficiency; and (3) changes in stakeholders and governance objects have driven a transition from bureaucratic to decentralized collaboration. Simulation results demonstrate that the proposed joint social-ecological optimization strategy yields the highest stability. Compared to the pre-optimization state, this strategy increased the maximum connectivity robustness by 0.156 and the mean value by 0.073. This study provides a replicable analytical framework for understanding the evolution of social-ecological networks. Furthermore, it offers policymakers feasible methods to formulate quantifiable ecological protection policies, thereby supporting sustainable regional development.