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Integrating static and dynamic analyses in a spatial management framework to enhance ecological networks connectivity in the context of rapid urbanization

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  • Chen, Feiyu
  • Luo, Qiaoling
  • Zhu, Zhibing

Abstract

Urbanization and habitat fragmentation threaten biodiversity and ecosystem health worldwide. Effective strategies to enhance ecological networks (ENs) connectivity are vital for mitigating these challenges and promoting regional sustainability. Taking Jiangxia District inWuhan, China as a case, this study proposed a spatial management framework that integrates static and dynamic analyses to enhance ENs connectivity in the context of rapid urbanization. By combining morphological spatial pattern analysis (MSPA) with a minimum cumulative resistance (MCR) model, a ecological network of 52 ecological sources and 128 corridors was established. Static analysis through circuit theory identified critical areas affecting landscape connectivity, while dynamic analysis using future land-use simulations (FLUS) evaluated the vulnerability of ecological lands under various urban expansion scenarios. This research not only fills a gap in spatial specificity within ENs connectivity studies but also introduces an integrated framework that harmonizes current and future spatial planning needs. The findings offer actionable strategies for urban ecological planning and green space management, aimed at strengthening regional ecological protection and supporting sustainable development in the face of ongoing urban expansion.

Suggested Citation

  • Chen, Feiyu & Luo, Qiaoling & Zhu, Zhibing, 2025. "Integrating static and dynamic analyses in a spatial management framework to enhance ecological networks connectivity in the context of rapid urbanization," Ecological Modelling, Elsevier, vol. 501(C).
    • Handle: RePEc:eee:ecomod:v:501:y:2025:i:c:s0304380025000055
    DOI: 10.1016/j.ecolmodel.2025.111022
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