<p>The ecological network (EN) is a system of spatial organization that reflects the compositional principles and structural and functional features of spatial elements. However, urban areas with frequent human activity often lack thorough evaluations of EN resilience evolution and its significance. This study focuses on Tianjin, a rapidly urbanizing coastal megacity in China, leveraging resilience theory and complex network theory to construct a framework for the EN resilience assessment. Based on predicted future spatial patterns, this study proposes strategies for enhancing the resilience of the EN and optimizing its spatial structure to promote sustainable urban ecosystem development. Results indicate significant degradation of ecological sources between 2000 and 2020, with their area decreasing from 20.7% to 14.8%. A multi-indicator assessment of EN resilience revealed that network connectivity was highest in 2010. By 2020, both network connectivity and transmission reached their lowest levels. In 2020, the robustness of network connectivity and vulnerability experienced large fluctuations, with network stability being the weakest. Future predictions indicate a notable increase in ecological space fragmentation and a further reduction in ecological source areas. This study establishes a resilience assessment framework for ENs that transcends traditional focuses on individual spatial features, optimizing ecological spatial patterns from an urban development perspective and enriching governance paradigms in urban land-use planning.</p>

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Resilience assessment and spatial optimization of urban ecological network based on complex network theory and PLUS model

  • Xiangping Liu,
  • Zhuowei Hu,
  • Yongcai Wang,
  • Mi Wang,
  • Wenxing Hou

摘要

The ecological network (EN) is a system of spatial organization that reflects the compositional principles and structural and functional features of spatial elements. However, urban areas with frequent human activity often lack thorough evaluations of EN resilience evolution and its significance. This study focuses on Tianjin, a rapidly urbanizing coastal megacity in China, leveraging resilience theory and complex network theory to construct a framework for the EN resilience assessment. Based on predicted future spatial patterns, this study proposes strategies for enhancing the resilience of the EN and optimizing its spatial structure to promote sustainable urban ecosystem development. Results indicate significant degradation of ecological sources between 2000 and 2020, with their area decreasing from 20.7% to 14.8%. A multi-indicator assessment of EN resilience revealed that network connectivity was highest in 2010. By 2020, both network connectivity and transmission reached their lowest levels. In 2020, the robustness of network connectivity and vulnerability experienced large fluctuations, with network stability being the weakest. Future predictions indicate a notable increase in ecological space fragmentation and a further reduction in ecological source areas. This study establishes a resilience assessment framework for ENs that transcends traditional focuses on individual spatial features, optimizing ecological spatial patterns from an urban development perspective and enriching governance paradigms in urban land-use planning.