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Reports Year : 2022

AlgaeTraits: a trait database for (European) seaweeds

Sofie Vranken
Stefanie Dekeyzer
  • Function : Author
Wim Decock
  • Function : Author
Pilar Díaz-Tapia
Anne Herbst
  • Function : Author
Rolf Karez
  • Function : Author
Priit Kersen
  • Function : Author
Cristina Piñeiro-Corbeira
  • Function : Author
Fabio Rindi
  • Function : Author
Jan Rueness
  • Function : Author
Hendrik Schubert
  • Function : Author
Kjersti Sjøtun
  • Function : Author
Marta Sansón
  • Function : Author
Dan Smale
  • Function : Author
Thierry Thibaut
Myriam Valero
  • Function : Author
Leen Vandepitte
  • Function : Author
Bart Vanhoorne
  • Function : Author
Alba Vergés
  • Function : Author
Marc Verlaque
  • Function : Author
Christophe Vieira
  • Function : Author
Frederik Leliaert
Olivier de Clerck
  • Function : Author

Abstract

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, doi: https://doi.org/10.14284/574, (AlgaeTraits, 2022).
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Dates and versions

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

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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. ⟨mnhn-03955495⟩
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