A field and video-annotation guide for baited remote underwater stereo-video surveys of demersal fish assemblages

Tim Langlois, Jordan Goetze*, Todd Bond, Jacquomo Monk, Rene A. Abesamis, Jacob Asher, Neville Barrett, Anthony T.F. Bernard, Phil J. Bouchet, Matthew J. Birt, Mike Cappo, Leanne M. Currey-Randall, Damon Driessen, David V. Fairclough, Laura A.F. Fullwood, Brooke A. Gibbons, David Harasti, Michelle R Heupel, Jamie Hicks, Thomas H. HolmesCharlie Huveneers, Daniel Ierodiaconou, Alan Jordan, Nathan A. Knott, Steve Lindfield, Hamish A. Malcolm, Dianne McLean, Mark Meekan, David Miller, Peter J. Mitchell, Stephen J. Newman, Ben Radford, Fernanda A. Rolim, Benjamin J. Saunders, Marcus Stowar, Adam N.H. Smith, Michael J. Travers, Corey B. Wakefield, Sasha K. Whitmarsh, Joel Williams, Euan S. Harvey

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)


1. Baited remote underwater stereo-video systems (stereo-BRUVs) are a popular tool to sample demersal fish assemblages and gather data on their relative abundance and body-size structure in a robust, cost-effective, and non-invasive manner. Given the rapid uptake of the method, subtle differences have emerged in the way stereo-BRUVs are deployed and how the resulting imagery are annotated. These disparities limit the interoperability of datasets obtained across studies, preventing broad-scale insights into the dynamics of ecological systems.
2. We provide the first globally accepted guide for using stereo-BRUVs to survey demersal fish assemblages and associated benthic habitats.
3. Information on stereo-BRUV design, camera settings, field operations, and image annotation are outlined. Additionally, we provide links to protocols for data validation, archiving, and sharing.
4. Globally, the use of stereo-BRUVs is spreading rapidly. We provide a standardised protocol that will reduce methodological variation among researchers and encourage the use of Findable, Accessible, Interoperable, and Reproducible (FAIR) workflows to increase the ability to synthesise global datasets and answer a broad suite of ecological questions.
Original languageEnglish
Pages (from-to)1401-1409
JournalMethods in Ecology and Evolution
Issue number11
Early online date24 Sept 2020
Publication statusPublished - Nov 2020


  • Monitoring (population ecology)
  • Population ecology
  • Sampling


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