, Volume 170, Issue 1, pp 233–242

Optimizing size thresholds in a plant–pollinator interaction web: towards a mechanistic understanding of ecological networks

Community ecology - Original research

DOI: 10.1007/s00442-012-2290-3

Cite this article as:
Ibanez, S. Oecologia (2012) 170: 233. doi:10.1007/s00442-012-2290-3


Using functional traits together with abundance effects strengthens the prediction of interactions between pairs of species in ecological networks. Insights into the way species interact as well as prediction accuracy can be gained when thresholds for trait value combinations that make interactions possible are optimized through model selection. I present novel data of two subalpine plant–pollinator communities and build several stochastic models integrating flower abundance and morphological threshold rules that allow or restrict interactions between species. The number of correctly predicted interactions was highest when thresholds were set so that the insect’s proboscis was not shorter than the nectar-holder depth minus 1–1.6 mm, and not wider than the nectar-holder width minus 0.5 mm. In comparison with models based solely on plant abundance effects, the model incorporating optimized size thresholds better predicted the distribution of the trait differences between plants and insects. This indicates that a mechanistic approach of interaction webs based on optimized size thresholds provides valuable information on community structure. The possible implications for community functioning are discussed.


Functional traitsMutualistic networksMorphologyModel selectionPlant abundance

Supplementary material

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Supplementary material 1 (ODS 20 kb)
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Supplementary material 2 (ODS 21 kb)
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Supplementary material 3 (ODT 12 kb)

Copyright information

© Springer-Verlag 2012

Authors and Affiliations

  1. 1.Ecosystem Boundaries Research UnitSwiss Federal Research Institute WSLBellinzonaSwitzerland
  2. 2.Laboratoire d’Ecologie AlpineUMR CNRS 5553, Université Joseph FourierGrenoble Cedex 9France
  3. 3.Station Alpine Joseph FourierUMS CNRS 2925, Université Joseph FourierGrenobleFrance