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‘metanetwork’: a R package dedicated to handling and representing trophic metanetworks
  • Marc Ohlmann,
  • Jimmy Garnier,
  • Laurent Vuillon
Marc Ohlmann
Laboratoire d'Ecologie Alpine

Corresponding Author:marc.ohlmann@univ-grenoble-alpes.fr

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Jimmy Garnier
Laboratoire de Mathématiques
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Laurent Vuillon
Laboratoire de Mathématiques
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Trophic networks describe interactions between species at a given location and time. Due to environmental changes, anthropogenic perturbations or sampling effects, trophic networks may vary in space and time. The collection of network time series or networks in different sites thus constitutes a metanetwork. A crucial step toward the understanding of those metanetworks is to build appropriate tools to handle and represent them. We present here the R package metanetwork, which will ease the exploration and the analysis of trophic metanetwork datasets that are increasingly available. Our main methodological advance consists in suitable layout algorithm for trophic networks, which is based on trophic levels and dimension reduction of a graph diffusion kernel. In particular, it highlights relevant features of trophic networks (trophic levels, energetic channels). In addition, we developed graphical tools to handle, compare and aggregate those networks. Static and dynamic visualisation functions have been developed to represent large networks. We apply our package workflow to several trophic network data sets.
16 Dec 2022Submitted to Ecology and Evolution
19 Dec 2022Submission Checks Completed
19 Dec 2022Assigned to Editor
10 Jan 2023Reviewer(s) Assigned
06 Feb 2023Review(s) Completed, Editorial Evaluation Pending
17 Feb 2023Editorial Decision: Revise Minor
26 May 20231st Revision Received
31 May 2023Submission Checks Completed
31 May 2023Assigned to Editor
31 May 2023Review(s) Completed, Editorial Evaluation Pending
14 Jun 2023Editorial Decision: Accept