Construction of regional multi-scenario spatially balanced ecological security pattern based on self-organizing feature map: A case study of Guangzhou, China

Constructing ecological security patterns (ESPs) is the ecological basis for achieving sustainable regional development. This study explored a framework of spatially balanced ESPs suitable for rapidly urbanizing areas to address the issues of overreliance on ecological land and subjective parameter settings in traditional ESP construction methods. Three ecosystem service bundles (product supply, water conservation, and habitat maintenance) were identified in Guangzhou using the self-organizing feature map method. These bundles were then used to identify multifunctional sources. The minimum size of the ecological source was determined to be 10 km2 through the "structure-pattern-function" framework, and a total of 19 ecological sources from three ecological functions were extracted. In these three scenarios, the 102 ecological corridors were classified into five categories based on their connected sources. Ecological node parameters were set based on local planning and dominant species characteristics, enhancing the explanatory power of the circuit theory. The multi-scenario ESP framework proposed in this study achieved a spatially balanced distribution of the entire region at the point, line, and surface levels, as confirmed by the ecological network assessment results. Future planning in Guangzhou should value the ecological functions of non-conventional ecological land, such as cropland and urban green spaces, while considering the impact of human activities on the environment and promptly modifying crucial node areas.