Delineating reef fish trophic guilds with global gut content data synthesis and phylogeny

• Published in: PLoS biology Vol. 18; no. 12; p. e3000702
• Main Authors: Parravicini, Valeriano, Casey, Jordan M., Schiettekatte, Nina M. D., Brandl, Simon J., Pozas-Schacre, Chloé, Carlot, Jérémy, Edgar, Graham J., Graham, Nicholas A. J., Harmelin-Vivien, Mireille, Kulbicki, Michel, Strona, Giovanni, Stuart-Smith, Rick D.
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 28.12.2020; Public Library of Science (PLoS)
• Subjects: Agreements; Animals; Bayes Theorem; Biodiversity; Biodiversity and Ecology; Biology and Life Sciences; Body Size; Classification; Classification schemes; Computer and Information Sciences; Coral reef ecology; Coral Reefs; Datasets; Diet; Earth Sciences; Ecology; Ecology and Environmental Sciences; Ecosystem; Ecosystems; Environmental Sciences; Fish; Fishes - metabolism; Fishes - microbiology; Food Chain; Functional groups; Gastrointestinal Microbiome - physiology; Go/no-go discrimination learning; Guilds; Herbivores; Learning algorithms; Life history; Machine learning; Medicine and Health Sciences; Methods and Resources; Models, Theoretical; Niche overlap; Ontogeny; Phylogeny; Physiological aspects; Prey; Redundancy; Reef fish; Reproducibility of Results; Species richness; Taxonomy; Trophic levels; Trophic relationships; Tropical fish; France

Understanding species’ roles in food webs requires an accurate assessment of their trophic niche. However, it is challenging to delineate potential trophic interactions across an ecosystem, and a paucity of empirical information often leads to inconsistent definitions of trophic guilds based on expe...