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Titel: CoRRE Trait Data : adataset of 17 categorical and continuous traits for 4079 grassland species worldwide
Autor(en): Komatsu, Kimberly J.In der Gemeinsamen Normdatei der DNB nachschlagen
Avolio, Meghan L.
Cubino, Josep Padullés
Schrodt, Franziska
Auge, HaraldIn der Gemeinsamen Normdatei der DNB nachschlagen
Cavender-Bares, JeannineIn der Gemeinsamen Normdatei der DNB nachschlagen
Clark, Adam T.
Flores-Moreno, Habacuc
Grman, Emily
Harpole, StanIn der Gemeinsamen Normdatei der DNB nachschlagen
Erscheinungsdatum: 2024
Art: Artikel
Sprache: Englisch
Zusammenfassung: In our changing world, understanding plant community responses to global change drivers is critical for predicting future ecosystem composition and function. Plant functional traits promise to be a key predictive tool for many ecosystems, including grasslands; however, their use requires both complete plant community and functional trait data. Yet, representation of these data in global databases is sparse, particularly beyond a handful of most used traits and common species. Here we present the CoRRE Trait Data, spanning 17 traits (9 categorical, 8 continuous) anticipated to predict species’ responses to global change for 4,079 vascular plant species across 173 plant families present in 390 grassland experiments from around the world. The dataset contains complete categorical trait records for all 4,079 plant species obtained from a comprehensive literature search, as well as nearly complete coverage (99.97%) of imputed continuous trait values for a subset of 2,927 plant species. These data will shed light on mechanisms underlying population, community, and ecosystem responses to global change in grasslands worldwide.
URI: https://opendata.uni-halle.de//handle/1981185920/119918
http://dx.doi.org/10.25673/117958
Open-Access: Open-Access-Publikation
Nutzungslizenz: (CC BY 4.0) Creative Commons Namensnennung 4.0 International(CC BY 4.0) Creative Commons Namensnennung 4.0 International
Journal Titel: Scientific data
Verlag: Nature Publ. Group
Verlagsort: London
Band: 11
Originalveröffentlichung: 10.1038/s41597-024-03637-x
Enthalten in den Sammlungen:Open Access Publikationen der MLU

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