Herbivorous fish feeding dynamics and energy expenditure on a coral reef: Insights from stereo-video and AI-driven 3D tracking.

artificial intelligence functional traits metabolic traits movement ecology surgeonfish

Journal

Ecology and evolution
ISSN: 2045-7758
Titre abrégé: Ecol Evol
Pays: England
ID NLM: 101566408

Informations de publication

Date de publication:
Mar 2024
Historique:
received: 01 09 2023
revised: 30 01 2024
accepted: 07 02 2024
medline: 4 3 2024
pubmed: 4 3 2024
entrez: 4 3 2024
Statut: epublish

Résumé

Unveiling the intricate relationships between animal movement ecology, feeding behavior, and internal energy budgeting is crucial for a comprehensive understanding of ecosystem functioning, especially on coral reefs under significant anthropogenic stress. Here, herbivorous fishes play a vital role as mediators between algae growth and coral recruitment. Our research examines the feeding preferences, bite rates, inter-bite distances, and foraging energy expenditure of the Brown surgeonfish (

Identifiants

pubmed: 38435013
doi: 10.1002/ece3.11070
pii: ECE311070
pmc: PMC10909578
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e11070

Informations de copyright

© 2024 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

Auteurs

Julian Lilkendey (J)

School of Science Auckland University of Technology (AUT) Auckland New Zealand.
Leibniz Centre for Tropical Marine Research (ZMT) Bremen Germany.

Cyril Barrelet (C)

Research-Team ICAR, Laboratoire d'informatique, de robotique et de microélectronique de Montpellier (LIRMM), CNRS University of Montpellier Montpellier France.

Jingjing Zhang (J)

School of Science Auckland University of Technology (AUT) Auckland New Zealand.
The New Zealand Institute for Plant and Food Research Limited Auckland New Zealand.

Michael Meares (M)

School of Science Auckland University of Technology (AUT) Auckland New Zealand.

Houssam Larbi (H)

Research-Team ICAR, Laboratoire d'informatique, de robotique et de microélectronique de Montpellier (LIRMM), CNRS University of Montpellier Montpellier France.

Gérard Subsol (G)

Research-Team ICAR, Laboratoire d'informatique, de robotique et de microélectronique de Montpellier (LIRMM), CNRS University of Montpellier Montpellier France.

Marc Chaumont (M)

Research-Team ICAR, Laboratoire d'informatique, de robotique et de microélectronique de Montpellier (LIRMM), CNRS University of Montpellier Montpellier France.
University of Nîmes Nîmes France.

Armagan Sabetian (A)

School of Science Auckland University of Technology (AUT) Auckland New Zealand.

Classifications MeSH