Revealing biases in the sampling of ecological interaction networks

• Published in: PeerJ (San Francisco, CA) Vol. 7; p. e7566
• Main Authors: de Aguiar, Marcus A.M., Newman, Erica A., Pires, Mathias M., Yeakel, Justin D., Boettiger, Carl, Burkle, Laura A., Gravel, Dominique, Guimarães, Paulo R., O’Donnell, James L., Poisot, Timothée, Fortin, Marie-Josée, Hembry, David H.
• Format: Journal Article
• Language: English
• Published: San Diego PeerJ, Inc 02.09.2019; PeerJ Inc
• Subjects: Biodiversity; Data Science; Ecological networks; Ecology; Ecosystem Science; Mathematical Biology; Modularity; Nestedness; Network metrics; Network topology; Sampling; Species; Species interaction networks; Statistics; Taxonomy

The structure of ecological interactions is commonly understood through analyses of interaction networks. However, these analyses may be sensitive to sampling biases with respect to both the interactors (the nodes of the network) and interactions (the links between nodes), because the detectability...