Name: Stationary visual census of commercial fishes in Mayotte (2023)
License: To the extent possible under law, the publisher has waived all rights to these data and has dedicated them to the Public Domain (CC0 1.0)

Since its establishment in 2010, the Mayotte Marine Natural Park has been promoting fishing activities beyond the lagoon, specifically targeting pelagic species to alleviate fishing pressure on reef species. However, despite these efforts, catches of reef fish remain notably high. In 2020, reef carnivores (groupers, snappers…), constituted approximately 35% of the total catches. Ensuring the sustainability of reef fishing necessitates regular assessments of Mayotte's commercial reef fish populations.

Citation

Parc Naturel Marin De Mayotte, Wickel Julien, Pinault Mathieu, Nicet Jean-Benoit, Mulochau Thierry, Durville Patrick (2023). Stationary visual census of commercial fishes in Mayotte (2023). SEANOE. https://doi.org/10.17882/99723

Published

September 17, 2025 at 10:09

First registration

March 19, 2025 at 17:28

License

To the extent possible under law, the publisher has waived all rights to these data and has dedicated them to the Public Domain (CC0 1.0)

URL

https://ipt.vliz.be/eurobis/resource?r=stationary_visual_mayotte_2023

Archive

https://ipt.vliz.be/eurobis/archive.do?r=stationary_visual_mayotte_2023

Contacts

Julien Wickel
MAREX Expertise & Conseil en Environnement Marin

Office Français de la Biodiversité
Office Français de la Biodiversité

Mathieu Pinault
MAREX Expertise & Conseil en Environnement Marin

Jean-Benoit Nicet
MAREX Expertise & Conseil en Environnement Marin

Thierry Mulochau

Patrick Durville

Institut Français de Recherche pour l'Exploitation de la Mer
Institut Français de Recherche pour l'Exploitation de la Mer

Flanders Marine Institute (VLIZ)
Flanders Marine Institute (VLIZ)

15,430

total submitted occurrences

15,414

accepted occurrences

40,882

measurements and facts

163

taxa

163

species

Taxa

Missing and invalid fields

Field	Missing
coordinateUncertaintyInMeters	15,430	100.0%
decimalLatitude	16	0.1%
decimalLongitude	16	0.1%
eventDate	16	0.1%
maximumDepthInMeters	16	0.1%
minimumDepthInMeters	16	0.1%
scientificNameID	1	0.0%

Quality flags

The OBIS data quality flags are documented at https://github.com/iobis/obis-qc.

Flag	Records
DEPTH_EXCEEDS_BATH	231	1.5%
NO_COORD	16	0.1%
NO_DEPTH	16	0.1%

Stationary visual census of commercial fishes in Mayotte (2023)

Taxa

Missing and invalid fields

Quality flags

Measurement types

DNA derived data