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当前位置: 首页 > 文章 > 荒漠绿洲区潜在生态网络增边优化鲁棒性分析 农业机械学报 2020 (2) 172-179
Position: Home > Articles > Robust Analysis of Potential Ecological Network Edge Enhancement in Desert Oasis Area Transactions of the Chinese Society for Agricultural Machinery 2020 (2) 172-179

荒漠绿洲区潜在生态网络增边优化鲁棒性分析

作  者：
裴燕如;武英达;于强;张启斌;胡雅慧;岳德鹏
单  位：
中国消防救援学院;北京林业大学精准林业北京市重点实验室
关键词：
荒漠绿洲区;生态网络;鲁棒性;增边优化
摘  要：
以乌兰布和沙漠东北缘为研究区,基于复杂网络理论、景观生态学与GIS空间分析技术,综合考虑多种因子,构建研究区的潜在生态网络(以下简称网络),分析研究区网络鲁棒性,通过随机增边、度低者优先、节点介数低者优先与最大介数节点增加捷径等4种增边策略优化网络,得出网络在不同增边策略优化前后的连接鲁棒性与恢复鲁棒性。结果显示:优化前网络连接鲁棒性指数为0. 72,恶意攻击下去除42个节点时完全破坏网络,随机攻击下去除469个节点时可完全破坏网络;恢复鲁棒性可完全恢复节点数为随机攻击75个、恶意攻击56个; 4种增边策略中,按度增边优化网络连接鲁棒性较优化前提升最显著:连接鲁棒性初始指数升至0. 99,恶意攻击下去除222个节点时可完全破坏网络,随机攻击下去除649个节点时可完全破坏网络; 4种增边策略中,按度增边对网络节点恢复鲁棒性提升效果最显著,可恢复去除节点数提升至122(随机攻击)与235(恶意攻击),按介数增边对网络边恢复鲁棒性提升效果最显著,其可恢复去除节点数提升至87(随机攻击)与27(恶意攻击)。
译  名：
Robust Analysis of Potential Ecological Network Edge Enhancement in Desert Oasis Area
作  者：
PEI Yanru;WU Yingda;YU Qiang;ZHANG Qibin;HU Yahui;YUE Depeng;Beijing Key Laboratory of Precision Forestry,Beijing Forestry University;China Fire and Rescue Institute;
关键词：
desert oasis area;;ecological network;;robustness;;edge enhancement
摘  要：
Based on the northeastern margin of Ulan Buh Desert,based on complex network theory,landscape ecology and GIS spatial analysis technology,a comprehensive ecological network( hereinafter referred to as the network) was constructed by considering various factors,and the research area network was analyzed. The network was optimized by four kinds of edge-enhancing strategies,such as random,low priority,low node-first and maximum median nodes,and the connection robustness and recovery of the network before and after optimization of different edge-enhancing strategies were analyzed. The results showed that the robustness of network connection before optimization was 0. 72,42 nodes were removed under malicious attack and the network was completely destroyed. Totally 469 nodes were removed under random attack,which can completely destroy the network. Restoring robustness can completely restore the node. The number was 75 random attacks and 56 malicious attacks. Among the four edge-enhancing strategies,the robustness of network connection optimization by degree was more significant than that before optimization: the initial value of connection robustness was risen to 0. 99,malicious removing 222 nodes under attack can completely destroy the network. Removing 649 nodes under random attack can completely destroy the network. Among the four edge-increasing strategies,the degree of robustness of network nodes can be maximized. The number of recovered nodes was increased to 122( random attack)and 235( malicious attack). The increase in the number of nodes was the most robust to network edge recovery. The number of recoverable nodes was increased to 87( random attack) and 27( malicious attack).

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