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<p>Urban riparian zones play a critical role in maintaining biodiversity and delivering ecosystem services, yet are often fragmented by urban development, undermining ecological connectivity. This study introduces a segmentation-based framework incorporating fuzzy logic to quantify ecological resistance and assess connectivity along the riparian corridor of an urban river. The study area was divided into 18 spatially uniform segments, each treated as a node in a graph based ecological network. Resistance values were computed using GIS derived slope, elevation, and land cover data, integrated through fuzzy membership functions and centroid defuzzification. Connectivity was evaluated using probabilistic dispersal indices in ConeFor, specifically focusing on Area Weighted Flux (AWF) and Probability of Connectivity (PC). Targeted land use interventions including aerial bridge modifications and subsurface reed bed installations resulted in resistance reductions of up to 7.14% and improved connectivity metrics in midstream bottleneck segments. An integrated spatial statistical model demonstrated that resistance reduction significantly enhances connectivity (β<sub>1</sub> = -4.195, <i>p</i> &lt; 0.001), with the effect being powerfully moderated by network topology. Interventions in bottleneck segments with high betweenness centrality yielded disproportionate connectivity gains, with the model explaining 94% of the variance in outcomes (R² = 0.940). This underscores that the functional success of an intervention is co determined by its location within the network’s spatial structure. This result suggests that spatial configuration and network topology also play important roles in shaping connectivity outcomes. The proposed methodology provides a scalable and practical tool for diagnosing and improving ecological corridors in highly fragmented urban environments. This framework supports targeted restoration strategies that align structural interventions with species specific movement patterns and landscape level priorities.</p>

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Segment-based analysis of ecological networks in urban river riparian zones under land use change

  • 期刊论文

  • 发表日期：

    2026年1月9日

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  • Maryam Masoumi,
  • Amin Sarang,
  • Mojtaba Ardestani,
  • Mohammad Hossein Niksokhan

摘要

Urban riparian zones play a critical role in maintaining biodiversity and delivering ecosystem services, yet are often fragmented by urban development, undermining ecological connectivity. This study introduces a segmentation-based framework incorporating fuzzy logic to quantify ecological resistance and assess connectivity along the riparian corridor of an urban river. The study area was divided into 18 spatially uniform segments, each treated as a node in a graph based ecological network. Resistance values were computed using GIS derived slope, elevation, and land cover data, integrated through fuzzy membership functions and centroid defuzzification. Connectivity was evaluated using probabilistic dispersal indices in ConeFor, specifically focusing on Area Weighted Flux (AWF) and Probability of Connectivity (PC). Targeted land use interventions including aerial bridge modifications and subsurface reed bed installations resulted in resistance reductions of up to 7.14% and improved connectivity metrics in midstream bottleneck segments. An integrated spatial statistical model demonstrated that resistance reduction significantly enhances connectivity (β1 = -4.195, p < 0.001), with the effect being powerfully moderated by network topology. Interventions in bottleneck segments with high betweenness centrality yielded disproportionate connectivity gains, with the model explaining 94% of the variance in outcomes (R² = 0.940). This underscores that the functional success of an intervention is co determined by its location within the network’s spatial structure. This result suggests that spatial configuration and network topology also play important roles in shaping connectivity outcomes. The proposed methodology provides a scalable and practical tool for diagnosing and improving ecological corridors in highly fragmented urban environments. This framework supports targeted restoration strategies that align structural interventions with species specific movement patterns and landscape level priorities.