Bendima: a database for marine macro-invertebrate bycatch data designed to improve reproducibility in benthic ecology - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Cybium : Revue Internationale d’Ichtyologie Année : 2023

Bendima: a database for marine macro-invertebrate bycatch data designed to improve reproducibility in benthic ecology

Résumé

The difficulty of identifying marine macro-invertebrates and the lack of experts, added to the growing use of complex modeling approaches based on massive datasets, has led to a reproducibility crisis in benthic ecology. Improving the reliability of identification remains a key factor to increase the quality of raw data. We developed the database Bendima to manage benthic macro-invertebrate bycatch data from the scientific survey of the French Southern Ocean and Indian Ocean fisheries. This database is structured to store observations of macro-invertebrates in the form of images of the caught organisms associated to sampling effort data and molecular data, which allows for ongoing amendments to identifications and crossreferencing with barcode data. Once uploaded and stored as digital images, the Bendima observations data underpinning models can be fully assessed, criticized and compared. Here, we describe the Bendima system and provide an overview of the contents for teams involved in biodiversity database development, benthic ecology or fisheries monitoring.

Domaines

Biodiversité
Fichier non déposé

Dates et versions

hal-04542435 , version 1 (11-04-2024)

Identifiants

Citer

Alexis Martin, Jonathan Blettery, Agnès Dettaï, Nicolas Rosset, Yann Gousseau. Bendima: a database for marine macro-invertebrate bycatch data designed to improve reproducibility in benthic ecology. Cybium : Revue Internationale d’Ichtyologie, 2023, ⟨10.26028/cybium/2023-020⟩. ⟨hal-04542435⟩
30 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Mastodon Facebook X LinkedIn More