Food webs—networks of predators and prey—have long been known to exhibit “intervality”: species can generally be ordered along a single axis in such a way that the prey of any given predator tend to lie on unbroken compact intervals. Although the meaning of this axis—usually identified with a “niche” dimension—has remained a mystery, it is assumed to lie at the basis of the highly non-trivial structure of food webs. With this in mind, most trophic network modelling has for decades been based on assigning species a niche value by hand. However, we argue here that intervality should not be considered the cause but rather a consequence of food-web structure. First, analysing a set of 46 empirical food webs, we find that they also exhibit predator intervality: the predators of any given species are as likely to be contiguous as the prey are, but in a different ordering. Furthermore, this property is not exclusive of trophic networks: several networks of genes, neurons, metabolites, cellular machines, airports, and words are found to be approximately as interval as food webs. We go on to show that a simple model of food-web assembly which does not make use of a niche axis can nevertheless generate significant intervality. Therefore, the niche dimension (in the sense used for food-web modelling) could in fact be the consequence of other, more fundamental structural traits. We conclude that a new approach to food-web modelling is required for a deeper understanding of ecosystem assembly, structure, and function, and propose that certain topological features thought to be specific of food webs are in fact common to many complex networks.
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June 2016
Research Article|
June 10 2016
Intervality and coherence in complex networks Available to Purchase
Virginia Domínguez-García;
Virginia Domínguez-García
1Departamento de Electromagnetismo y Física de la Materia and Instituto Carlos I de Física Teórica y Computacional,
Universidad de Granada
, E-18071 Granada, Spain
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Samuel Johnson
;
Samuel Johnson
2Warwick Mathematics Institute, and Centre for Complexity Science,
University of Warwick
, Coventry CV4 7AL, United Kingdom
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Miguel A. Muñoz
Miguel A. Muñoz
a)
1Departamento de Electromagnetismo y Física de la Materia and Instituto Carlos I de Física Teórica y Computacional,
Universidad de Granada
, E-18071 Granada, Spain
Search for other works by this author on:
Virginia Domínguez-García
1
Samuel Johnson
2
Miguel A. Muñoz
1,a)
1Departamento de Electromagnetismo y Física de la Materia and Instituto Carlos I de Física Teórica y Computacional,
Universidad de Granada
, E-18071 Granada, Spain
2Warwick Mathematics Institute, and Centre for Complexity Science,
University of Warwick
, Coventry CV4 7AL, United Kingdom
Chaos 26, 065308 (2016)
Article history
Received:
March 08 2016
Accepted:
May 19 2016
Citation
Virginia Domínguez-García, Samuel Johnson, Miguel A. Muñoz; Intervality and coherence in complex networks. Chaos 1 June 2016; 26 (6): 065308. https://doi.org/10.1063/1.4953163
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