Untangling the Tangled Bank: A Novel Method for Partitioning the Effects of Phylogenies and Traits on Ecological Networks

Untangling the Tangled Bank: A Novel Method for Partitioning the Effects of Phylogenies and... Understanding how evolutionary and ecological processes shape species interaction networks remains as one of the main challenges in eco-evolutionary studies. Here, we present an integrative analytical framework to partition the effects of phylogenies and functional traits on the structure of ecological networks. The method combines fuzzy set theory and matrix correlation, implemented under a Monte Carlo framework. We designed a simulation study in order to estimate the accuracy of the methods proposed here, measuring Type I Error rates. The simulation study shows that the method is accurate, i.e., incorrectly rejecting a true null hypothesis in ~5% of the cases and falling within the confidence interval. We illustrate our framework using data from a seed dispersal network from southern Brazil. Our analyses suggest that birds must have specific traits in order to consume their plant resources, and that phylogenetic resemblance has no explanatory power for species traits and species interactions in this seed-dispersal network. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Evolutionary Biology Springer Journals

Untangling the Tangled Bank: A Novel Method for Partitioning the Effects of Phylogenies and Traits on Ecological Networks

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Publisher
Springer US
Copyright
Copyright © 2017 by Springer Science+Business Media New York
Subject
Life Sciences; Evolutionary Biology; Ecology; Developmental Biology; Human Genetics; Animal Genetics and Genomics
ISSN
0071-3260
eISSN
1934-2845
D.O.I.
10.1007/s11692-017-9409-8
Publisher site
See Article on Publisher Site

Abstract

Understanding how evolutionary and ecological processes shape species interaction networks remains as one of the main challenges in eco-evolutionary studies. Here, we present an integrative analytical framework to partition the effects of phylogenies and functional traits on the structure of ecological networks. The method combines fuzzy set theory and matrix correlation, implemented under a Monte Carlo framework. We designed a simulation study in order to estimate the accuracy of the methods proposed here, measuring Type I Error rates. The simulation study shows that the method is accurate, i.e., incorrectly rejecting a true null hypothesis in ~5% of the cases and falling within the confidence interval. We illustrate our framework using data from a seed dispersal network from southern Brazil. Our analyses suggest that birds must have specific traits in order to consume their plant resources, and that phylogenetic resemblance has no explanatory power for species traits and species interactions in this seed-dispersal network.

Journal

Evolutionary BiologySpringer Journals

Published: Feb 28, 2017

References

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