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北京东灵山森林植物多样性的网络结构特征
引用本文:陈禹舟,马克明,张育新,张霜,牛树奎.北京东灵山森林植物多样性的网络结构特征[J].生态学报,2015,35(11):3702-3709.
作者姓名:陈禹舟  马克明  张育新  张霜  牛树奎
作者单位:中国科学院生态环境研究中心城市与区域生态国家重点实验室, 北京 100085;北京林业大学森林培育与保护省部共建教育部重点实验室, 北京 100083,中国科学院生态环境研究中心城市与区域生态国家重点实验室, 北京 100085,中国科学院生态环境研究中心城市与区域生态国家重点实验室, 北京 100085,中国科学院生态环境研究中心城市与区域生态国家重点实验室, 北京 100085,北京林业大学森林培育与保护省部共建教育部重点实验室, 北京 100083
基金项目:国家自然科学基金青年基金(31300368)
摘    要:一个群落可以看作是由物种相互连接的复杂系统,刻画其网络结构有助于深入揭示系统性质以及结构与功能之间的关系。在生态学中,复杂网络理论已被成功应用于食物网与互利网络的结构研究,但尚未检验其刻画生物多样性格局的能力。采用复杂网络理论研究了北京东灵山森林乔木层、灌木层、草本层植物关联关系的网络结构特征及其差异。结果表明,植物物种的共同出现是非随机的,并表现出一定的小世界模式;乔木层、灌木层、草本层植物共同出现的网络在结构特征上存在明显差异,草本层网络比乔木层和灌木层网络更松散且平均路径更长,灌木层和草本层网络的聚类系数高于乔木层且存在度的幂律分布。皆表明复杂网络理论具备反映不同层植物多样性格局差异的能力。

关 键 词:群落联结  分布格局  复杂网络  共有物种
收稿时间:2013/9/25 0:00:00
修稿时间:2015/3/31 0:00:00

Network structure of plant diversity of Dongling Mountain, Beijing
CHEN Yuzhou,MA Keming,ZHANG Yuxin,ZHANG Shuang and NIU Shukui.Network structure of plant diversity of Dongling Mountain, Beijing[J].Acta Ecologica Sinica,2015,35(11):3702-3709.
Authors:CHEN Yuzhou  MA Keming  ZHANG Yuxin  ZHANG Shuang and NIU Shukui
Institution:State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Science, Chinese Academy of Sciences, Beijing 100085, China;The Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing 100083, China,State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Science, Chinese Academy of Sciences, Beijing 100085, China,State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Science, Chinese Academy of Sciences, Beijing 100085, China,State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Science, Chinese Academy of Sciences, Beijing 100085, China and The Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing 100083, China
Abstract:Community can be regard as a complex system which is built with different connecting species. Exploring the pattern of the structure is the basis of system modeling, which contributes to our understanding of the system property and the relationship between structure and function of the system. Complex network theory has been used in studying food webs and mutualistic networks, but the use of network theory in describing the pattern of forest plant diversity hasn''t been tested. In this study, using the network theory, we analyzed the network structure of species diversity pattern of woody, shrub, and herb in a warm temperate deciduous broad-leaved forest of Dongling Mountain, Beijing. The results showed that the pattern of species co-occurrence is non-random, showed an so called "small world" pattern. The co-occurrence species networks of herb, shrub and wood are significant different. The net work for herb is looser, it has longer average path length than the shrub and wood layer. These results indicate that the network theory is useful in analyzing the diversity pattern of different layers of species among associated communities.
Keywords:communities associate  distribution pattern  complex network  co-occurrence species
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