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<p>Rapid urbanization intensifies ecological degradation, necessitating Blue-Green Infrastructure (BGI) networks to enhance habitat connectivity and resilience in cities like Changsha, China. This study evaluates and optimizes Changsha’s BGI network across 2000–2020 using a multi-model approach: Morphological Spatial Pattern Analysis (MSPA) and InVEST identified core ecological patches based on landscape structure and habitat quality; Conefor assessed connectivity; and Linkage Mapper with the Minimum Cumulative Resistance (MCR) model extracted corridors. Results show a sharp decline in ecological sources (36 in 2000 to 10 in 2020) and corridors (630 to 45), with fragmentation concentrated in central urban areas. Eastern/western mountain forests remained primary sources, but connectivity deteriorated, widening central ecological voids. Optimization added 7 ecological sources, 91 corridors, and 39 nodes, improving network closure (α + 0.02), connectivity (β + 0.18), and complexity (γ + 0.02). We further identified 63 ecological breakpoints for intervention and proposed 39 stepping stones to stabilize long corridors. The optimized BGI network significantly enhances landscape connectivity and spatial equity. We recommend the “one ring, two cores, five belts” spatial strategy to guide ecological conservation, offering a transferable framework for similar cities facing urbanization pressures.</p>

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Evaluation and optimization of Blue-Green infrastructure network pattern in changsha, China

  • 期刊论文

  • 发表日期：

    2025年9月26日

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  • Xuehui Gao,
  • Maowen Zhang,
  • Huanying Fang,
  • Hua Wang,
  • Shuiming Zhang

摘要

Rapid urbanization intensifies ecological degradation, necessitating Blue-Green Infrastructure (BGI) networks to enhance habitat connectivity and resilience in cities like Changsha, China. This study evaluates and optimizes Changsha’s BGI network across 2000–2020 using a multi-model approach: Morphological Spatial Pattern Analysis (MSPA) and InVEST identified core ecological patches based on landscape structure and habitat quality; Conefor assessed connectivity; and Linkage Mapper with the Minimum Cumulative Resistance (MCR) model extracted corridors. Results show a sharp decline in ecological sources (36 in 2000 to 10 in 2020) and corridors (630 to 45), with fragmentation concentrated in central urban areas. Eastern/western mountain forests remained primary sources, but connectivity deteriorated, widening central ecological voids. Optimization added 7 ecological sources, 91 corridors, and 39 nodes, improving network closure (α + 0.02), connectivity (β + 0.18), and complexity (γ + 0.02). We further identified 63 ecological breakpoints for intervention and proposed 39 stepping stones to stabilize long corridors. The optimized BGI network significantly enhances landscape connectivity and spatial equity. We recommend the “one ring, two cores, five belts” spatial strategy to guide ecological conservation, offering a transferable framework for similar cities facing urbanization pressures.