Revealing biases in the sampling of ecological interaction networks

Revealing biases in the sampling of ecological interaction networks

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...

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Bibliographic Details
Main Authors: Marcus A.M. de Aguiar, Erica A. Newman, Mathias M. Pires, Justin D. Yeakel, Carl Boettiger, Laura A. Burkle, Dominique Gravel, Paulo R. Guimarães Jr, James L. O’Donnell, Timothée Poisot, Marie-Josée Fortin, David H. Hembry
Format: Article
Language:English
Published: PeerJ Inc. 2019-09-01
Series:PeerJ
Subjects:
Ecological networks
Modularity
Network metrics
Species interaction networks
Network topology
Nestedness
Online Access:https://peerj.com/articles/7566.pdf

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https://peerj.com/articles/7566.pdf

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