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生态流网络的异速生长和耗散。

Allometry and dissipation of ecological flow networks.

机构信息

School of Systems Science, Beijing Normal University, Beijing, China.

出版信息

PLoS One. 2013 Sep 3;8(9):e72525. doi: 10.1371/journal.pone.0072525. eCollection 2013.

Abstract

BACKGROUND

An ecological flow network is a weighted directed graph in which the nodes are species, the edges are "who eats whom" relationships and the weights are rates of energy or nutrient transferred between species. Allometric scaling is a ubiquitous feature for flow systems such as river basins, vascular networks and food webs.

METHODOLOGY

The "ecological network analysis" can serve to reveal hidden allometries, the power law relationship between the throughflux and the indirect impact of node [Formula: see text], directly from the original flow networks without any need to cut edges in the network. The dissipation law, which is another significant scaling relationship between the energy dissipation (respiration) and the throughflow of any species, is also obtained from an analysis of the empirical flow networks. Interestingly, the exponents of the allometric law ([Formula: see text]) and the dissipation law ([Formula: see text]) show a strong relationship for both empirical and simulated flow networks. The dissipation law exponent [Formula: see text], rather than the topology of the network, is the most important factors that affect the allometric exponent [Formula: see text].

CONCLUSIONS

The exponent [Formula: see text] can be interpreted as the degree of centralization of the network, i.e., the concentration of impacts (direct and indirect influences on the entire network along all energy flow pathways) on hubs (the nodes with large throughflows). As a result, we find that as [Formula: see text] increases, the relative energy loss of large nodes increases, [Formula: see text] decreases, i.e., the relative importance of large species decreases. Moreover, the entire flow network is more decentralized. Therefore, network flow structure (allometry) and thermodynamic constraints (dissipation) are linked.

摘要

背景

生态流网络是一个加权有向图,其中节点是物种,边是“谁吃谁”的关系,权重是物种之间能量或营养转移的速率。对于河流流域、血管网络和食物网等流动系统来说,体标缩放是一种普遍存在的特征。

方法

“生态网络分析”可用于揭示隐藏的标度律,即节点 [Formula: see text] 的总流通量与其间接影响之间的幂律关系,而无需在网络中切断边,即可直接从原始流网络中获得。耗散定律也是能量耗散(呼吸)与任何物种总流通量之间另一个重要的缩放关系,也可以从对经验流网络的分析中获得。有趣的是,经验和模拟流网络的标度律([Formula: see text])和耗散律([Formula: see text])的指数之间存在很强的关系。耗散律指数 [Formula: see text] 而不是网络的拓扑结构,是影响标度律指数 [Formula: see text] 的最重要因素。

结论

指数 [Formula: see text] 可以解释为网络的集中化程度,即网络中枢纽(总流通量大的节点)的影响(直接和间接影响整个网络的所有能量流途径)的集中程度。因此,我们发现随着 [Formula: see text] 的增加,大节点的相对能量损失增加,[Formula: see text] 减小,即大物种的相对重要性降低。此外,整个流网络更加分散。因此,网络流结构(标度律)和热力学约束(耗散)是相关联的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/3760856/f15371384dd9/pone.0072525.g001.jpg

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