Study on the Sampling Site Optimization Technique for Mangrove Ecological Quality Monitoring in Guangdong Province Based on the K-Means Clustering Algorithm

The "Special Action Plan for the Protection and Restoration of Mangrove Forests (2020-2025)" clearly proposes strengthening the construction of a mangrove monitoring and assessment system and promoting the establishment of a scientific and efficient monitoring network.Due to significant patch fragmentation and spatial heterogeneity in Guangdong Province's mangrove wetland ecosystems,there is an urgent need to establish a representative ecological quality monitoring system for mangrove ecological quality.With the aim of balancing ecological type diversity,spatial coverage,and practical applicability,this paper constructed an mangrove ecological quality monitoring network in Guangdong Province using "clustering-sampling" technique.Homogeneous mangrove patches were clustered based on mangrove structural characteristics.Then stratified proportional sampling combined with administrative areas were utilized to determine monitoring patches and establish the monitoring network.The research results provide technical support for the dynamic monitoring and scientific management of mangrove ecological quality in Guangdong Province,as well as a replicable reference path for the construction of the national coastal wetland ecological monitoring network.