Bulletin of Surveying and Mapping ›› 2026, Vol. 0 ›› Issue (9): 49-54.doi: 10.13474/j.cnki.11-2246.2026.0907

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Construction of waterfowl ecological network in Suzhou city by coupling MSPA technology and maximum entropy model

Chen Yi1, Qu Jun1, Song Runze2, Chen Chao1,3, Yang Zhaohui1,3   

  1. 1. School of Geography Science and Surveying Engineering, Soochow University of Science and Technology, Suzhou 215009, China;
    2. Shandong Agricultural University College of Resources and Environment, Taian 271000, China;
    3. Jiangsu Provincial Engineering Research Center for Modern Surveying and Mapping Instrument Technology, Suzhou 215009, China
  • Received:2025-12-15 Published:2026-10-09

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.

Key words: waterfowl, MaxEnt, MSPA, ecological corridor, POI

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