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相互作用开关预测互利共生网络的嵌套结构。

An interaction switch predicts the nested architecture of mutualistic networks.

机构信息

Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University, Private Bag X1, Matieland 7602, South Africa.

出版信息

Ecol Lett. 2011 Aug;14(8):797-803. doi: 10.1111/j.1461-0248.2011.01647.x. Epub 2011 Jun 27.

Abstract

Nested architecture is distinctive in plant-animal mutualistic networks. However, to date an integrative and quantitative explanation has been lacking. It is evident that species often switch their interactive partners in real-world mutualistic networks such as pollination and seed-dispersal networks. By incorporating an interaction switch into a novel multi-population model, we show that the nested architecture rapidly emerges from an initially random network. The model allowing interaction switches between partner species produced predictions which fit remarkably well with observations from 81 empirical networks. Thus, the nested architecture in mutualistic networks could be an intrinsic physical structure of dynamic networks and the interaction switch is likely a key ecological process that results in nestedness of real-world networks. Identifying the biological processes responsible for network structures is thus crucial for understanding the architecture of ecological networks.

摘要

嵌套结构在动植物互惠网络中独具特色。然而,到目前为止,还缺乏一个综合的定量解释。显然,物种在现实世界的互惠网络中经常会切换它们的交互伙伴,如授粉和种子传播网络。通过在一个新的多群体模型中引入交互切换,我们表明嵌套结构可以从最初的随机网络中迅速出现。该模型允许伙伴物种之间的交互切换,其预测结果与 81 个经验网络的观测结果非常吻合。因此,互惠网络中的嵌套结构可能是动态网络的固有物理结构,而交互切换很可能是导致现实网络嵌套的关键生态过程。因此,确定导致网络结构的生物过程对于理解生态网络的结构至关重要。

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