A Framework for Optimizing Green Infrastructure Networks Based on Landscape Connectivity and Ecosystem Services

Optimizing the layout of green infrastructure (GI) is an effective way to alleviate the fragmentation of urban landscapes, coordinate the relationship between urban development and urban ecosystem services, and ensure the sustainable development of cities. This study provides a new technical framework for optimizing GI networks based on a case study of Kaifeng, an exemplar of many ancient cities along the Yellow River in China. To do this, we used a morphological spatial pattern analysis (MSPA) methodology and combined it with Procedure for mAthematical aNalysis of lanDscape evOlution and equilibRium scenarios Assessment (PANDORA) model to determine the hubs of the GI network. Then we employed a least-cost path approach to simulate potential corridors linking the hubs. We further identify the key 'pinch points' of the GI network that need priority protection based on circuit theory. Altogether, this framework takes patches that have a high level of ecosystem services and are more important in maintaining overall connectivity as hubs, thereby improving the accuracy of hub identification. Moreover, it establishes a direct connection between GI construction and ecosystem services, and improves biodiversity conservation by optimizing the network structure of GI. The results of the case study show that this framework is suitable for GI planning and construction, and can provide effective technical support for the formulation of urban sustainable development strategies.

Automated summary

Optimizing the layout of green infrastructure (GI) is an effective way to alleviate urban landscape fragmentation, coordinate urban development with ecosystem services, and ensure sustainable development. This study introduces a new technical framework for optimizing GI networks, using morphological spatial pattern analysis and the PANDORA model to identify hubs and simulate potential corridors, as well as identifying key 'pinch points' for priority protection. This framework improves the accuracy of hub identification and establishes a direct connection between GI construction and ecosystem services, while enhancing biodiversity conservation by optimizing the GI network structure.