Inferring functional traits in a deep-sea wood-boring bivalve using dynamic energy budget theory

S M Gaudron1,2, S Lefebvre3, G M Marques4

  • 1UMR 8187, Laboratoire d'Océanologie et de Géosciences (LOG), Université de Lille, ULCO, CNRS, 59000, Lille, France. sylvie.gaudron@sorbonne-universite.fr.

Scientific Reports
|November 23, 2021
PubMed
Summary

Dynamic energy budget (DEB) modeling reveals functional traits of the deep-sea Atlantic woodeater, Xylonora atlantica. This study highlights unique adaptations to deep-sea conditions, including altered energy allocation and extended larval duration.

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