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Herbivorous Fish Feeding Dynamics and Energy Expenditure on a Coral Reef: Insights From Stereo-Video and AI-driven 3D Tracking

aut.relation.articlenumbere11070
aut.relation.issue3
aut.relation.journalEcology and Evolution
aut.relation.startpagee11070
aut.relation.volume14
dc.contributor.authorLilkendey, Julian
dc.contributor.authorBarrelet, Cyril
dc.contributor.authorZhang, Jingjing
dc.contributor.authorMeares, Michael
dc.contributor.authorLarbi, Houssam
dc.contributor.authorSubsol, Gérard
dc.contributor.authorChaumont, Marc
dc.contributor.authorSabetian, Armagan
dc.date.accessioned2026-05-20T03:04:29Z
dc.date.available2026-05-20T03:04:29Z
dc.date.issued2024-03-03
dc.description.abstractUnveiling 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 (Acanthurus nigrofuscus) and the Yellowtail tang (Zebrasoma xanthurum) within the fish community on a Red Sea coral reef. To this end, we used advanced methods such as remote underwater stereo-video, AI-driven object recognition, species classification, and 3D tracking. Despite their comparatively low biomass, the two surgeonfish species significantly influence grazing pressure on the studied coral reef. A. nigrofuscus exhibits specialized feeding preferences and Z. xanthurum a more generalist approach, highlighting niche differentiation and their importance in maintaining reef ecosystem balance. Despite these differences in their foraging strategies, on a population level, both species achieve a similar level of energy efficiency. This study highlights the transformative potential of cutting-edge technologies in revealing the functional feeding traits and energy utilization of keystone species. It facilitates the detailed mapping of energy seascapes, guiding targeted conservation efforts to enhance ecosystem health and biodiversity.
dc.identifier.citationEcology and Evolution, ISSN: 2045-7758 (Print); 2045-7758 (Online), Wiley, 14(3), e11070-. doi: 10.1002/ece3.11070
dc.identifier.doi10.1002/ece3.11070
dc.identifier.issn2045-7758
dc.identifier.issn2045-7758
dc.identifier.urihttp://hdl.handle.net/10292/21145
dc.languageeng
dc.publisherWiley
dc.relation.urihttps://onlinelibrary.wiley.com/doi/10.1002/ece3.11070
dc.rights© 2024 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
dc.rights.accessrightsOpenAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectartificial intelligence
dc.subjectfunctional traits
dc.subjectmetabolic traits
dc.subjectmovement ecology
dc.subjectsurgeonfish
dc.subject41 Environmental Sciences
dc.subject31 Biological Sciences
dc.subject3103 Ecology
dc.subject4104 Environmental Management
dc.subject0602 Ecology
dc.subject0603 Evolutionary Biology
dc.subject3104 Evolutionary biology
dc.subject4102 Ecological applications
dc.titleHerbivorous Fish Feeding Dynamics and Energy Expenditure on a Coral Reef: Insights From Stereo-Video and AI-driven 3D Tracking
dc.typeJournal Article
pubs.elements-id541247

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