基于生态安全格局的黄河流域(河南段)生态保护和修复重点区识别

Identification of Key Areas for Ecological Protection and Restoration in the Yellow River Basin (Henan Section) Based on Ecological Security Patterns

  • 摘要: 针对黄河流域(河南段)生态空间破碎、修复目标不明确等问题, 本文以黄河流域(河南段)为研究区, 构建“源地-阻力面-廊道-节点-分区”的空间显式分析框架,建立生态安全格局并划定生态保护和修复重点区。集成生态系统服务价值(ESV)评估、最小累积阻力模型(MCR)与电路理论构建生态安全格局;进一步通过K-means聚类算法,结合生态要素空间分布特征,划分流域单元的重点区域。研究表明: (1)识别生态源地30处, 总面积9766.19km², 占研究区面积的17.01%, 空间格局呈“南密北疏、中部集聚”, 主控因子为地形与人类干扰;(2)基于阻力阈值权衡分析, 划定生态廊道56条, 总长1894.78km, 在保证连通性的前提下有效平衡廊道宽度与建设用地冲突;(3)结合47处夹点与81处障碍点, 将研究区划分为6类保护和修复优先级单元, 占全域面积的53.33%, 明确了夹点保护与障碍点修复的关键区域。“源地-阻力面-廊道-节点-分区”的空间显式框架实现了从宏观格局到微观治理单元的降尺度传导, 可为区域生态保护与修复工程布局提供重要的空间决策依据, 也为类似流域的精细化治理提供可推广的方法范式。

     

    Abstract: The Yellow River Basin serves as a vital ecological barrier and economic corridor for China. The construction of ecological security patterns (ESP) and the identification of key areas for ecological protection and restoration are of critical significance for the basin's sustainable development. In recent years, the increasing intensity of human activities has accelerated land development and utilization, leading to environmental deterioration and habitat fragmentation. Simultaneously, ecological problems such as weakened ecosystem service functions and declining biodiversity have emerged, constraining the sustainable development of the socio-economy and ecological environment.Taking the Yellow River Basin (Henan Section) as the study area, this paper establishes a spatially explicit framework comprising "sources–resistance surfaces–corridors–nodes–zones" to identify the ecological security pattern and delineate key areas for ecological protection and restoration. Based on Xie Gaodi's equivalent factor table, the ecosystem service value equivalents were modified using grain yield data to calculate ecosystem service values (ESV). Core ecological sources were screened using ESV assessment combined with hotspot analysis and landscape connectivity indices (PC/dPC). By integrating the Minimum Cumulative Resistance (MCR) model and circuit theory, a comprehensive ecological resistance surface was constructed to extract ecological corridors, ecological pinch points, and ecological barrier points. Finally, based on the watershed scale division of the Yellow River Basin (Henan Section), the K-means clustering algorithm was employed to conduct unsupervised learning classification of key ecological protection and restoration areas using the ESP construction results as an indicator system.The results indicate that: (1) A total of 30 ecological sources were identified (totaling 9, 766.19 km², accounting for 17.01% of the area), exhibiting a spatial pattern characterized as "dense in the south, sparse in the north, and clustered in the center." Sources in the southern mountainous and hilly regions form contiguous clusters, while those in the northern plains show severe fragmentation. (2) A total of 56 ecological corridors were delineated (totaling 1, 894.78 km), effectively balancing the conflict between corridor width and construction land. (3) By integrating the distribution of pinch points (47) and barrier points (81), six categories of protection and restoration priority units were classified (covering 53.33% of the total area), and differentiated management strategies were proposed. This study provides a spatial decision-making basis for the layout of ecological protection and restoration projects in the Yellow River Basin (Henan Section) and offers a replicable methodological paradigm for the construction of ecological security patterns and refined management in similar river basins.

     

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