Uncovering indirect interactions in bipartite ecological networks
Uncovering indirect interactions in bipartite ecological networks
复制标题
揭示双向生态网络中的间接相互作用
DOI：
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
W. Sutherland
中科院分区：
文献类型：
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作者：
Benno I. Simmons;A. Cirtwill;Nick J. Baker;L. Dicks;Daniel B. Stouffer;W. Sutherland
间接的相互作用在管理人口，社区和共同进化的动态在不同的生态社区中发挥着至关重要的作用。这种群落被广泛地表示为二分网络：描绘两组物种之间相互作用的图表，如植物和传粉者或宿主和寄生虫。30多年来，研究者们一直使用连接度和物种度等指标来描述这些网络的结构及其组成物种的作用。然而，将复杂网络压缩为单一指标必然会丢弃大量关于间接交互的信息。鉴于大量的文献证明了间接效应的重要性和普遍性，许多网络结构的研究可能会遗漏生态难题的一个重要部分。在这里，我们使用新出现的概念，二分图案，概述了一个新的框架，二分网络，包括间接的相互作用。虽然这个框架是一个显着的偏离目前的思维方式的网络，我们表明，这种转变是支持模拟和实证数据的定量分析。我们使用模拟来展示如何考虑间接的相互作用可以突出生态重要的差异错过了目前的指数范式。我们将这一发现扩展到经验植物传粉者社区，展示了两种蜜蜂物种，具有类似的直接相互作用，在竞争对手的专业化程度上有所不同。这些例子强调了需要一个新的范式的双边生态网络：一个纳入间接的相互作用。
Indirect interactions play an essential role in governing population, community and coevolutionary dynamics across a diverse range of ecological communities. Such communities are widely represented as bipartite networks: graphs depicting interactions between two groups of species, such as plants and pollinators or hosts and parasites. For over thirty years, studies have used indices, such as connectance and species degree, to characterise the structure of these networks and the roles of their constituent species. However, compressing a complex network into a single metric necessarily discards large amounts of information about indirect interactions. Given the large literature demonstrating the importance and ubiquity of indirect effects, many studies of network structure are likely missing a substantial piece of the ecological puzzle. Here we use the emerging concept of bipartite motifs to outline a new framework for bipartite networks that incorporates indirect interactions. While this framework is a significant departure from the current way of thinking about networks, we show that this shift is supported by quantitative analyses of simulated and empirical data. We use simulations to show how consideration of indirect interactions can highlight ecologically important differences missed by the current index paradigm. We extend this finding to empirical plant-pollinator communities, showing how two bee species, with similar direct interactions, differ in how specialised their competitors are. These examples underscore the need for a new paradigm for bipartite ecological networks: one incorporating indirect interactions.
影响因子：
3.4
作者：
Fruend, Jochen;McCann, Kevin S.;Williams, Neal M.
通讯作者：
Williams, Neal M.