Evaluation and Optimization of Regional Ecological Corridor Network Patterns Based on MSPA: A Case Study of Huzhou, China

Global climate warming has placed immense pressure on the ecological environment worldwide, and the ecological issues affecting the quality of the living environment have garnered widespread attention. In this context, the question of “how to effectively optimize regional ecological network patterns” has become one of the critical issues that urban and rural planning and ecological geography need to address. This study takes Huzhou, Zhejiang Province, China, as the research area, and uses a combination of landscape type transition matrices and landscape pattern indices to analyze the evolution characteristics of green space landscape patterns from 2017 to 2022. Through geographical detectors and GBDT (Gradient Boosting Decision Tree) algorithms, the study explores the driving factors behind the changes in green space landscape patterns. Based on MSPA (Morphological Spatial Pattern Analysis), key ecological sources in Huzhou are extracted. Using a combination of resistance surfaces and gravity models, ecological corridors and networks are constructed. The study also provides suggestions for the evaluation and optimization of ecological network patterns. The aim is to summarize generalizable patterns of green space landscape evolution and methods for constructing and optimizing regional ecological corridor networks, offering insights and references for the improvement of the living environment and the construction of ecological civilization.