Elise S. auteur aut IRD Guilhaumon François auteur aut IRD Mou-Tham Gérard auteur aut IRD Urbina-Barreto I. auteur aut IRD Vigliola Laurent auteur aut IRD Kulbicki Michel auteur aut IRD Bruggemann J. H. auteur aut IRD text journalArticle eng text/pdf reformatted digital access Ecological surveys of coral reefs mostly rely on visual data collected by human observers. Although new monitoring tools are emerging, their specific advantages should be identified to optimise their simultaneous use. Based on the goodness-of-fit of linear models, we compared the potential of passive acoustics and environmental data for predicting the structure of coral reef fish assemblages in different environmental and biogeographic settings. Both data types complemented each other. Globally, the acoustic data showed relatively low added value in predicting fish assemblage structures. The predictions were best for the distribution of fish abundance among functional entities (i.e., proxies for fish functional groups, grouping species that share similar eco-morphological traits), for the simplest functional entities (i.e., combining two eco-morphological traits), and when considering diet and the level in the water column of the species. Our study demonstrates that Passive Acoustic Monitoring (PAM) improves fish assemblage assessment when used in tandem with environmental data compared to using environmental data alone. Such combinations can help with responding to the current conservation challenge by improving our surveying capacities at increased spatial and temporal scales, facilitating the identification and monitoring of priority management areas. specialized coral reefs fish assemblages remote sensing Passive Acoustic Monitoring (PAM) ecoacoustic indices conservation PACIFIQUE OCEAN INDIEN REUNION NOUVELLE CALEDONIE EUROPA 036 034 126 122 020 14 10 2394 [18 p.] 2022 https://www.documentation.ird.fr/hor/fdi:010085210 10.3390/rs14102394 [F B010085210] https://www.documentation.ird.fr/hor/fdi:010085210 https://horizon.documentation.ird.fr/exl-doc/pleins_textes/2022-07/010085210.pdf IRD - Base Horizon / Pleins textes 2022-07-01 2022-07-06 fdi:010085210 fre