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AlgaeTraits: a trait database for (European) seaweeds.

Authors :
Vranken, Sofie
Robuchon, Marine
Dekeyzer, Stefanie
Bárbara, Ignacio
Bartsch, Inka
Blanfuné, Aurélie
Boudouresque, Charles-François
Decock, Wim
Destombe, Christophe
de Reviers, Bruno
Díaz-Tapia, Pilar
Herbst, Anne
Julliard, Romain
Karez, Rolf
Kersen, Priit
Krueger-Hadfield, Stacy A.
Kuhlenkamp, Ralph
Peters, Akira F.
Peña, Viviana
Piñeiro-Corbeira, Cristina
Source :
Earth System Science Data Discussions. 10/14/2022, p1-57. 57p.
Publication Year :
2022

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). [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18663591
Database :
Academic Search Index
Journal :
Earth System Science Data Discussions
Publication Type :
Academic Journal
Accession number :
159705675
Full Text :
https://doi.org/10.5194/essd-2022-329