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Título

AlgaeTraits: A trait database for (European) seaweeds

AutorVranken, 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 CSIC ORCID; Rindi, Fabio; Rousseau, Florence; Rueness, Jan; Schubert, Hendrik; Sjøtun, Kjersti; Sansón, Marta; Smale, Dan; Thibaut, Thierry; Valero, Myriam; Vandepitte, Leen; Vanhoorne, Bart; Vergés, Alba; Verlaque, Marc; Vieira, Christophe; Le Gall, Line; Leliaert, Frederik; De Clerck, Olivier
Fecha de publicación4-jul-2023
EditorCopernicus Publications
CitaciónEarth System Science Data 15(7) : 2711-2754 (2023)
ResumenThe 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 45175 trait records for 21 biologically and ecologically relevant traits of seaweeds. This resulted in a trait database for 1745 European seaweed species of which more than half (56%) of the records were documented at the species level, while the remaining 44% were 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 are publicly accessible through the AlgaeTraits portal, 10.14284/574 (AlgaeTraits, 2022).
Versión del editorhttps://doi.org/10.5194/essd-15-2711-2023
URIhttp://hdl.handle.net/10261/348970
DOI10.5194/essd-15-2711-2023
ISSN1866-3508
E-ISSN1866-3516
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