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    基于K-Means聚类的广东省红树林生态质量监测样地优化布设研究

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

    • 摘要: 《红树林保护修复专项行动计划(2020—2025年)》提出加强红树林监测评估体系建设,推动构建科学高效的监测网络。针对广东省红树林湿地生态系统监测覆盖不全、斑块破碎化、空间异质性显著等特点,亟须建立具有代表性的红树林生态质量监测网络。该文以兼顾生态类型多样性、空间覆盖广度与实际推广应用可行性为出发点,运用"聚类-抽样"技术方法体系,构建广东省红树林生态质量监测网络。根据红树林结构特征,对同质性红树林斑块进行聚类;利用分层比例抽样与行政区域结合的方式,确定监测斑块,构建监测网络。研究成果为广东省红树林生态质量动态监测与科学管理提供了技术支撑,也为全国滨海湿地生态监测网络建设提供了可推广的参考路径。

       

      Abstract: 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.

       

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