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Rapport Année : 2022

AlgaeTraits: a trait database for (European) seaweeds

Ignacio Bárbara
Wim Decock
Anne Herbst
  • Fonction : Auteur
Rolf Karez
  • Fonction : Auteur
Priit Kersen
  • Fonction : Auteur
Akira F Peters
  • Fonction : Auteur
  • PersonId : 1101508
Viviana Peña
Jan Rueness
  • Fonction : Auteur
Kjersti Sjøtun
Marta Sansón
Dan Smale
Thierry Thibaut
Leen Vandepitte
Bart Vanhoorne
Marc Verlaque
Christophe Vieira
Frederik Leliaert
Olivier de Clerck

Résumé

The analysis of biological and ecological traits has a long history in evolutionary and ecological research. However, trait data are often scattered and standardised terminology that transcends taxonomic and biogeographical context are generally missing. As part of the development of a global trait database of marine species, we collated trait information for European seaweeds and structured the data within the standardised framework of the World Register of Marine Species (WoRMS). We collected 45,175 records for 21 biologically and ecologically relevant traits of seaweeds. This resulted in a trait database for 1,745 European seaweed species of which more than half (56 %) of the records were documented at the species level, while the remaining 44 % was documented at a higher taxonomic level and subsequently inherited at lower levels. The trait database for European seaweeds will serve as a foundation for future research on diversity and evolution of seaweeds, and their responses to global changes. The data will contribute to developing detailed trait-based ecosystem models, and will be an important tool to inform marine conservation policies. The data is publicly accessible through the AlgaeTraits portal, algaetraits.org.
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Dates et versions

mnhn-03955495 , version 1 (25-01-2023)

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Paternité

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Sofie Vranken, Marine Robuchon, Stefanie Dekeyzer, Ignacio Bárbara, Inka Bartsch, et al.. AlgaeTraits: a trait database for (European) seaweeds. ESSD – Ocean/Biological oceanography. 2022, 57 p. ⟨mnhn-03955495⟩
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