AlgaeTraits: a trait database for (European) seaweeds
-
Published:2023-07-04
Issue:7
Volume:15
Page:2711-2754
-
ISSN:1866-3516
-
Container-title:Earth System Science Data
-
language:en
-
Short-container-title:Earth Syst. Sci. Data
Author:
Vranken SofieORCID, Robuchon Marine, Dekeyzer Stefanie, Bárbara Ignacio, Bartsch Inka, Blanfuné Aurélie, Boudouresque Charles-François, Decock Wim, Destombe Christophe, de Reviers Bruno, Díaz-Tapia PilarORCID, Herbst Anne, Julliard Romain, Karez Rolf, Kersen Priit, Krueger-Hadfield Stacy A., Kuhlenkamp Ralph, Peters Akira F., Peña Viviana, Piñeiro-Corbeira Cristina, Rindi Fabio, Rousseau Florence, Rueness Jan, Schubert Hendrik, Sjøtun Kjersti, Sansón Marta, Smale Dan, Thibaut ThierryORCID, Valero MyriamORCID, Vandepitte Leen, Vanhoorne Bart, Vergés Alba, Verlaque Marc, Vieira Christophe, Le Gall Line, Leliaert FrederikORCID, De Clerck Olivier
Abstract
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 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, https://doi.org/10.14284/574 (AlgaeTraits, 2022).
Funder
Fonds Wetenschappelijk Onderzoek
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences
Reference81 articles.
1. Åberg, P.: A demographic study of two populations of the seaweed Ascophyllum nodosum, Ecology, 73, 1473–1487, https://doi.org/10.2307/1940691, 1992. 2. Albecker, M. A., Wilkins, L. G., Krueger-Hadfield, S. A., Bashevkin, S. M., Hahn, M .W., Hare, M. P., Kindsvater, H. K., Sewell, M. A., Lotterhos, K. E., and Reitzel, A. M.: Does a complex life cycle affect adaptation to environmental change? Genome-informed insights for characterizing selection across complex life cycle, P. R. Soc. B, 288, 20212122, https://doi.org/10.1098/rspb.2021.2122, 2021. 3. Albouy, C., Delattre, V. L., Mérigot, B., Meynard, C. N., and Leprieur, F.: Multifaceted biodiversity hotspots of marine mammals for conservation priorities, Divers. Distrib., 23, 615–626, https://doi.org/10.1111/ddi.12556, 2017. 4. AlgaeTraits: A trait database for European seaweeds, AlgaeTraits [data set], https://doi.org/10.14284/574, 2022. 5. Appeltans, W., Ahyong, S. T., Anderson, G., Angel, M. V., Artois, T., Bailly, N., Bamber, R., Barber, A., Bartsch, I., Berta, A., and Błażewicz-Paszkowycz, M.: The magnitude of global marine species diversity, Curr. Biol., 22, 2189–2202, https://doi.org/10.1016/j.cub.2012.09.036, 2012.
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|