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The dimensionality of ecological networks
  • University of Chicago
  • Institute for Hydrobiology and Fisheries Science
  • Universitat Autónoma de Barcelona
  • Institut Mediterrani d'Estudis Avançats (CSIC-UIB)
  • Instituto Argentino de Investigaciones de las Zonas Áridas, CONICET
  • University of Copenhagen
  • University of Canterbury
  • Universidade Estadual Paulista (UNESP)
  • Universidade de São Paulo (USP)
  • Universidad Nacional de Cuyo
  • Pacific Ecoinformatics and Computational Ecology Lab
  • Stockholm University
  • Linköping University
  • 1461-023X
  • 1461-0248
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. © 2013 Blackwell Publishing Ltd/CNRS.
Issue Date: 
Ecology Letters, v. 16, n. 5, p. 577-583, 2013.
Time Duration: 
  • Ecological networks
  • Food web structure
  • Intervality
  • Niche space
  • Scaling
  • Species traits
  • antagonism
  • community structure
  • consumer-resource interaction
  • ecological modeling
  • food web
  • interspecific interaction
  • life history trait
  • mutualism
  • network design
  • niche
  • social network
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Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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