Networker: Computational model for generating trophic networks

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Authors: Miguel Brun‐Usan, Roberto Latorre, Ángela Delgado Buscalioni, Paloma Alcorlo, Jesus Carlos Marugan Lobon
Cited by: 0

Abstract

Computational model that reconstructs trophic networks from enriched species lists by integrating: taxonomic information, dietary categories, body-size data, and an allometric niche model, to infer directed predator–prey interactions and generate binary trophic networks. The model produces multiple network replicates per ecosystem and computes a wide set of topological descriptors characterizing network structure. This version corresponds to the version of the software used in the accompanying publication: Brun-Usan M, Latorre R, Buscalioni ÁD, Alcorlo P, Marugán-Lobón J (2026) Algorithmic reconstruction of trophic networks from open-access species lists reveals key organisms in real ecosystems. PLoS Comput Biol 22(3): e1014061. https://doi.org/10.1371/journal.pcbi.1014061

Fields of Study & Subjects

Sustainability and Ecological Systems Analysis Ecology and Vegetation Dynamics Studies Isotope Analysis in Ecology

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
28 January 2026