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荒漠綠洲區(qū)潛在生態(tài)網(wǎng)絡(luò)增邊優(yōu)化魯棒性分析
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中央高校基本科研業(yè)務(wù)費(fèi)專項資金項目(BLX201806)和中國博士后科學(xué)基金面上項目(2018M641218)


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    摘要:

    以烏蘭布和沙漠東北緣為研究區(qū),基于復(fù)雜網(wǎng)絡(luò)理論、景觀生態(tài)學(xué)與GIS空間分析技術(shù),綜合考慮多種因子,構(gòu)建研究區(qū)的潛在生態(tài)網(wǎng)絡(luò)(以下簡稱網(wǎng)絡(luò)),分析研究區(qū)網(wǎng)絡(luò)魯棒性,通過隨機(jī)增邊、度低者優(yōu)先、節(jié)點介數(shù)低者優(yōu)先與最大介數(shù)節(jié)點增加捷徑等4種增邊策略優(yōu)化網(wǎng)絡(luò),得出網(wǎng)絡(luò)在不同增邊策略優(yōu)化前后的連接魯棒性與恢復(fù)魯棒性。結(jié)果顯示:優(yōu)化前網(wǎng)絡(luò)連接魯棒性指數(shù)為0.72,惡意攻擊下去除42個節(jié)點時完全破壞網(wǎng)絡(luò),隨機(jī)攻擊下去除469個節(jié)點時可完全破壞網(wǎng)絡(luò);恢復(fù)魯棒性可完全恢復(fù)節(jié)點數(shù)為隨機(jī)攻擊75個、惡意攻擊56個;4種增邊策略中,按度增邊優(yōu)化網(wǎng)絡(luò)連接魯棒性較優(yōu)化前提升最顯著:連接魯棒性初始指數(shù)升至0.99,惡意攻擊下去除222個節(jié)點時可完全破壞網(wǎng)絡(luò),隨機(jī)攻擊下去除649個節(jié)點時可完全破壞網(wǎng)絡(luò);4種增邊策略中,按度增邊對網(wǎng)絡(luò)節(jié)點恢復(fù)魯棒性提升效果最顯著,可恢復(fù)去除節(jié)點數(shù)提升至122(隨機(jī)攻擊)與235(惡意攻擊),按介數(shù)增邊對網(wǎng)絡(luò)邊恢復(fù)魯棒性提升效果最顯著,其可恢復(fù)去除節(jié)點數(shù)提升至87(隨機(jī)攻擊)與27(惡意攻擊)。

    Abstract:

    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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裴燕如,武英達(dá),于強(qiáng),張啟斌,胡雅慧,岳德鵬.荒漠綠洲區(qū)潛在生態(tài)網(wǎng)絡(luò)增邊優(yōu)化魯棒性分析[J].農(nóng)業(yè)機(jī)械學(xué)報,2020,51(2):172-179. PEI Yanru, WU Yingda, YU Qiang, ZHANG Qibin, HU Yahui, YUE Depeng.[J]. Transactions of the Chinese Society for Agricultural Machinery,2020,51(2):172-179.

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  • 收稿日期:2019-07-05
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  • 在線發(fā)布日期: 2020-02-10
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