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Ecology Letters
Article . 2013 . Peer-reviewed
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Ecology Letters
Article . 2014
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The dimensionality of ecological networks

Authors: Eklöf, A; Jacob, U.; Kopp, J; Bosch, J.; Castro Urgal, R.; Chacoff, N.P; Dalsgaard, B.; +11 Authors

The dimensionality of ecological networks

Abstract

Abstract How many dimensions (trait‐axes) are required to predict whether two species interact? This unanswered question originated with the idea of ecological niches, and yet bears relevance today for understanding what determines network structure. Here, we analyse a set of 200 ecological networks, including food webs, antagonistic and mutualistic networks, and find that the number of dimensions needed to completely explain all interactions is small ( < 10), with model selection favouring less than five. Using 18 high‐quality webs including several species traits, we identify which traits contribute the most to explaining network structure. We show that accounting for a few traits dramatically improves our understanding of the structure of ecological networks. Matching traits for resources and consumers, for example, fruit size and bill gape, are the most successful combinations. These results link ecologically important species attributes to large‐scale community structure.

Countries
Denmark, Argentina, Brazil, Spain, France
Keywords

Intervality, consumer-resource interaction, interspecific interaction, Multifactorial Inheritance, Food Chain, mutualism, network design, 590, Food web structure, life history trait, Niche space, Models, Biological, Scaling, Food Web Structure, https://purl.org/becyt/ford/1.6, Animals, https://purl.org/becyt/ford/1, Symbiosis, Ecosystem, food web, Ecology, Ecological Networks, Niche Space, Models, Theoretical, antagonism, niche, Ecological networks, ecological modeling, social network, Species traits, ecology, community structure

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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