昆虫种群生态网络普适特征研究

doi:10.16182/j.issn1004731x.joss.20-0202

系统仿真学报 ›› 2021, Vol. 33 ›› Issue (7): 1542-1553.doi: 10.16182/j.issn1004731x.joss.20-0202

昆虫种群生态网络普适特征研究

罗桂兰, 郝鸿俊, 王晓, 张梅

大理大学数学与计算机学院,云南大理 671003

收稿日期:2020-04-22 修回日期:2020-06-28 出版日期:2021-07-18 发布日期:2021-07-20
作者简介:罗桂兰(1977-),女,博士,副教授,研究方向为复杂网络、智能生态。E-mail：yongxin_fly@163.com
基金资助:
国家自然科学基金(61661001); 云南省基础研究面上项目(2018FH001-057); 国家级大学生创新创业训练计划(201810679038)

Study on Universal Characteristics of Insect Population Ecological Network

Luo Guilan, Hao Hongjun, Wang Xiao, Zhang Mei

School of Mathematics and Computer Science, Dali University, Dali 671003, China

Received:2020-04-22 Revised:2020-06-28 Online:2021-07-18 Published:2021-07-20

摘要/Abstract

摘要： 为评价洱海湿地昆虫生态发展现状,运用复杂网络理论,以昆虫种群为网络节点,相关性为边,构建了昆虫生态网络的拓扑结构模型。通过模型特征参数分析,得出昆虫生态网络符合小世界和无标度网络特征,节点度分布服从幂律分布。运用拓扑结构破坏方法仿真了网络生态的动态演化过程,研究发现网络中重要物种和濒危物种消失对网络稳定性将造成指数级影响,结果表明：昆虫生态网络演变具有自然普适规律,维持网络稳定性是昆虫生态保护的关键策略。

关键词: 昆虫生态网络, 拓扑结构, 普适特征, 幂率分布, 稳定性

Abstract: In order to evaluate the current state of insect ecological development in Erhai wetland, complex network theory is used to construct a topological structure model of insect ecological network with insect populations as network nodes and correlations as edges. By analyzing the characteristic parameters of the model, it is concluded that the insect ecological network conforms to the characteristics of small world and scale-free network, and the node degree distribution obeys the power law distribution. The method of destroying the topology is used to simulate the dynamic evolution of the network ecology. The study shows that the disappearance of important species and endangered species have an exponential impact on the stability of the network. The evolution of insect ecological network adapts to the natural universal law, and the maintaining network stability is the key strategy in the insect ecological protection.

Key words: insect ecological network, topological structure, universal characteristics, power law distribution, stability

中图分类号:

TP391.9

罗桂兰, 郝鸿俊, 王晓, 张梅. 昆虫种群生态网络普适特征研究[J]. 系统仿真学报, 2021, 33(7): 1542-1553.

Luo Guilan, Hao Hongjun, Wang Xiao, Zhang Mei. Study on Universal Characteristics of Insect Population Ecological Network[J]. Journal of System Simulation, 2021, 33(7): 1542-1553.

参考文献

[1] Leandro C, Jay-Robert P.Perceptions and Representations of Animal Diversity: Where Did the Insects Go?[J]. Biological Conservation (S0006-3207), 2019, 237: 400-408.
[2] Cardoso P, Barton P S, Birkhofer K, et al.Scientists' Warning to Humanity on Insect Extinctions[J]. Biological Conservation, 2020, 242: 108427.
[3] 韩争伟, 马玲, 曹传旺, 等. 太湖湿地昆虫群落结构及多样性[J]. 生态学报, 2013, 33(14): 4387-4397.
Han Zhengwei, Ma ling, Cao Chuanwang, et al. The Structure and Diversity of Insect Community in Taihu Wetland[J]. Acta Ecologica Sinica, 2013, 33(14): 4387-4397.
[4] 何云川, 杨贵军, 王新谱. 银川不同湿地陆生昆虫群落多样性与稳定性[J]. 昆虫学报, 2018, 61(12): 1439-1452.
He Yunchuan, Yang Guijun, Wang Xinpu.Diversity and Stability of Terrestrial Insect Community in Different Wetlands in Yinchuan[J]. Acta Entomologica Sinica, 2018, 61(12): 1439-1452.
[5] 许超. 复杂网络研究综述[J]. 卷宗, 2018, 8(33): 242-244. DOI: 10.3969/j.issn.1005-4669.2018.33.228.
Xu Chao.A Survey of Complex networks[J]. Juan Zong, 2018, 8(33): 242-244. DOI: 10.3969/j.issn.1005-4669. 2018.33.228.
[6] 金艳, 刘勇, 袁兴伟, 等. 复杂网络理论在食物网中的应用和研究进展[J]. 海洋渔业, 2018, 40(2): 249-256.
Jin Yan, Liu Yong, Yuan Xingwei, et al.Review: Applications of Complex Network to Food Web[J]. Marine Fisheries, 2018, 40(2): 249-256.
[7] 李医民, 李鑫, 华静. 基于复杂网络的生态系统稳定性与生态多样性[J]. 生态学杂志, 2014, 33(6): 1700-1706.
Li Yimin, Li Xin, Hua Jing.Ecological System Stability and Diversity Based on Complex Networks[J]. Chinese Journal of Ecology, 2014, 33(6): 1700-1706.
[8] 王戈, 于强, Yang Di, 等. 基于复杂网络分析法的层级生态网络结构研究[J]. 农业机械学报, 2019, 50(7): 258-266, 312.
Wang Ge, Yu Qiang, Yang Di, et al.Hierarchical Ecological Network Structure Based on Complex Network Analysis[J]. Transactions of the Chinese Society for Agricultural Machinery, 2019, 50(7): 258-266, 312.
[9] 邵晨曦, 陈小齐, 王行甫, 等. 基于数据场的复杂网络节点影响力建模与仿真[J]. 系统仿真学报, 2020, 32(7): 1257-1266.
Shao Chenxi, Chen Xiaoqi, Wang Xingfu, et al.Modeling and Simulation of Influential Nodes Based on Data Field in Complex Networks[J]. Journal of System Simulation, 2020, 32(7): 1257-1266.
[10] 伍杰华, 张小兰, 沈静, 等. 一种集成局部加权聚类系数的链接预测算法[J]. 计算机应用研究, 2018, 35(12): 3588-3592, 3613.
Wu Jiehua, Zhang Xiaolan, Shen Jing, et al.Algorithm of Integrating Local Weighted Clustering Coefficients for Link Prediction[J]. Application Research of Computers, 2018, 35(12): 3588-3592, 3613.
[11] 熊云艳. 复杂网络的某些性质研究及其应用[D]. 广州: 华南理工大学, 2016.
Xiong Yunyan.Research and Application of Some Characteristics in Complex Networks[D]. Guangzhou: South China University of Technology, 2016.
[12] 陶俐言, 王帅. 提高加权供应链网络鲁棒性的问题研究[J]. 系统工程, 2020, 38(1): 66-74.
Tao Liyan, Wang Shuai.Improving the Robustness of Weighted Supply Chain Networks[J]. Systems Engineering, 2020, 38(1): 66-74.
[13] 乔方刚, 刘雪勇. 基于复杂网络的国际镍矿石贸易演变规律研究[J]. 资源与产业, 2016, 18(6): 92-97.
Qiao Fanggang, Liu Xueyong.Study on International Nickel Ores Trade Evolution Rule based on Complex Network[J]. Resources & Industries, 2016, 18(6): 92-97.
[14] Timothy D.Schowalter, Insect Ecology [M]. 4th ed. America: Academic Press, 2016: 249-290.
[15] 覃玉冰, 邓春林, 杨柳. 基于皮尔逊相关系数的网络舆情评估指标体系构建研究[J]. 情报探索, 2018(10): 15-19.
Qin Yubing, Deng Chunlin, Yang Liu.Pearson Correlation Coefficient-based Study on Construction of Evaluation Index System of Network Public Opinion[J]. Information Research, 2018(10): 15-19.
[16] 孙鑫, 李振华, 董军宇, 等. 面向海洋数据的复杂网络建模及可视化分析[J]. 系统仿真学报, 2018, 30(7): 2445-2452.
Sun Xin, Li Zhenhua, Dong Junyu, et al.Complex Network Modeling and Visualization Analysis for Ocean Observation Data[J]. Journal of System Simulation, 2018, 30(7): 2445-2452.
[17] Bastian M, Heymann S, Jacomy M.Gephi: an Open Source Software for Exploring and Manipulating Networks[C]// International AAAI Conference on Weblogs and Social Media. San Jose, CA: AAAI Press, 2009.
[18] 罗桂兰, 张梅, 黄伟, 等. 洱海湿地昆虫智能生境监测系统设计[J]. 大理大学学报, 2018, 3(12): 8-13.
Luo Guilan, Zhang Mei, Huang Wei, et al.Design of Insect Intelligent Habitat Monitoring System in Erhai Wetland[J]. Journal of Dali University, 2018, 3(12): 8-13.
[19] 李锴, 何永锋, 吴纬, 等. 基于节点重要度的复杂网络可靠性研究[J]. 计算机应用研究, 2018, 35(8): 2465-2468.
Li Kai, He Yongfeng, Wu Wei, et al.Reliability of Complex Network based on Importance of Nodes[J]. Application Research of Computers, 2018, 35(8): 2465-2468.
[20] 胥雪炎, 李补喜. 不同被解释变量选择对决定系数R²的影响研究[J]. 太原科技大学学报, 2007, 28(5): 363-365.
Xue Xueyan, Li Buxi.Research on the Effect of Selection of Dependent Variables on R² Statistic[J]. Journal of Taiyuan University of Science and Technology, 2007, 28(5): 363-365.
[21] 李成兵, 魏磊, 卢天伟, 等. 城市群交通网络抗毁性仿真研究[J]. 系统仿真学报, 2018, 30(2): 489-496.
Li Chengbing, Wei Lei, Lu Tianwei, et al.Invulnerability Simulation Analysis of Compound Traffic Network in Urban Agglomeration[J]. Journal of System Simulation, 2018, 30(2): 489-496.

昆虫种群生态网络普适特征研究

Study on Universal Characteristics of Insect Population Ecological Network

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