耦合MSPA技术和最大熵模型的苏州市水鸟生态网络构建
Construction of waterfowl ecological network in Suzhou city by coupling MSPA technology and maximum entropy model
摘要 [目的]本文旨在精准评价苏州水鸟生态网络,揭示其对城市水鸟生态保护的重要性.[方法]基于形态学空间格局分析(MSPA)技术、最大熵(MaxEnt)模型与LinkageMapper工具构建水鸟生态网络,并评估其网络结构与稳健性.[结果]结果表明:①生态源地集中分布于西南部水网密集区,生态廊道呈现西部-中部密集网状、其他片区稀疏或无的空间分布特征.②网络平均聚类系数为0.22,平均最短路径长度为3.21,全局效率为0.40,整体连通性较好而聚集性较弱,关键节点对结构控制作用显著.③恶意攻击下网络稳健性下降明显,单个节点攻击可导致10%的网络失效,反映出关键节点的脆弱性与重要性.[结论]本文构建的水鸟生态网络在保持全局连通性的基础上实现局部稳定性,为水鸟生态保护研究提供借鉴,从复杂网络理论视角为水鸟保护的空间决策支持和可持续性提供了科学依据.
Abstract:
[Purposes]Accurately assessing the ecological network of waterbirds in Suzhou is of great significance for urban waterbird ecological conservation.[Methods]Based on MSPA technology,the maximum entropy(MaxEnt)model,and the Linkage Mapper tool,a waterbird ecological network was constructed,and its network structure and robustness were assessed.[Findings]The results indicate:①Ecological sources are predominantly distributed in the densely water-networked areas of the southwest,while ecological corridors exhibit a spatial pattern of dense in the west-central area,sparse or absent in other regions.②The average clustering coefficient of the network is 0.22,the average shortest path length is 3.21,and the global efficiency is 0.40,indicating good overall connectivity but weak clustering,with key nodes playing a significant role in structural control.③Under malicious attacks,network robustness declines significantly;an attack on a single node can cause a 10%network failure,reflecting the vulnerability and importance of key nodes.[Conclusions]The waterbird ecological network constructed in this study achieves local stability while maintaining global connectivity,providing a reference for waterbird ecological conservation research and offering scientific support for spatial decision-making and sustainability in waterbird protection from the perspective of complex network theory.
刊 名 测绘通报 ISTICPKU
年,卷(期): 2026, (9)
分类号: P208
机标分类号: TP391 S718.5 Q948
在线出版日期: 2026年10月28日
基金项目: 42171311:国家自然科学基金SJCX24_1887:江苏省研究生科研与实践创新计划项目,