A new model explaining the origin of different topologies in interaction networks.

Abstract:

:Nestedness and modularity have been recurrently observed in species interaction networks. Some studies argue that those topologies result from selection against unstable networks, and others propose that they likely emerge from processes driving the interactions between pairs of species. Here we present a model that simulates the evolution of consumer species using resource species following simple rules derived from the integrative hypothesis of specialization (IHS). Without any selection on stability, our model reproduced all commonly observed network topologies. Our simulations demonstrate that resource heterogeneity drives network topology. On the one hand, systems containing only homogeneous resources form generalized nested networks, in which generalist consumers have higher performance on each resource than specialists. On the other hand, heterogeneous systems tend to have a compound topology: modular with internally nested modules, in which generalists that divide their interactions between modules have low performance. Our results demonstrate that all real-world topologies likely emerge through processes driving interactions between pairs of species. Additionally, our simulations suggest that networks containing similar species differ from heterogeneous networks and that modules may not present the topology of entire networks.

journal_name

Ecology

journal_title

Ecology

authors

Pinheiro RBP,Felix GMF,Dormann CF,Mello MAR

doi

10.1002/ecy.2796

subject

Has Abstract

pub_date

2019-09-01 00:00:00

pages

e02796

issue

9

eissn

0012-9658

issn

1939-9170

journal_volume

100

pub_type

杂志文章

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