Methods in Ecology and Evolution (Nov 2023)

ATNr: Allometric Trophic Network models in R

  • Benoit Gauzens,
  • Ulrich Brose,
  • Eva Delmas,
  • Emilio Berti

DOI
https://doi.org/10.1111/2041-210X.14212
Journal volume & issue
Vol. 14, no. 11
pp. 2766 – 2773

Abstract

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Abstract Understanding and predicting how densities of interacting species change over time has been one of the main goals of community ecology, which has become a pressing challenge in the context of global change. We present the R package ATNr, which provides an implementation of different versions of Allometric Trophic Network models that simulate the biomass dynamics of trophically interacting species. Relying on C++ routines, the ATNr proposes an efficient and standardised implementation of the different ATNs models. By proposing a set of built in functions ready to use in a language widely used in the community of ecologists, the ATNr package offers an easy access to ATN models focusing on trophic interactions.

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