CoRRE Trait Data: A dataset of 17 categorical and continuous traits for 4079 grassland species worldwide.

Autor: Komatsu KJ; Department of Biology, University of North Carolina at Greensboro, Greensboro, NC, USA. kjkomatsu@uncg.edu., Avolio ML; Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, MD, USA. meghan.avolio@jhu.edu., Padullés Cubino J; Centre for Research on Ecology and Forestry Applications (CREAF), Barcelona, Spain., Schrodt F; School of Geography, University of Nottingham, Nottingham, UK., Auge H; UFZ, Helmholtz Centre for Environmental Research, Community Ecology, Theodor-Lieser-Strasse 4, 06120, Halle, Germany.; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103, Leipzig, Germany., Cavender-Bares J; Department of Ecology, Evolution and Behaviour, University of Minnesota, Saint Paul, MN, USA., Clark AT; University of Graz, Institute of Biology, Holteigasse 6, 8010, Graz, Austria., Flores-Moreno H; CSIRO Health and Biosecurity, GPO Box 2583, Brisbane, QLD 4001, Australia., Grman E; Department of Biology, Eastern Michigan University, Ypsilanti, MI, USA., Harpole WS; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103, Leipzig, Germany.; UFZ, Helmholtz Centre for Environmental Research, Physiological Diversity, Permoserstrasse 15, 04318, Leipzig, Germany.; Martin Luther University Halle-Wittenberg, Halle (Saale), Germany., Kattge J; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103, Leipzig, Germany.; Max Planck Institute for Biogeochemistry, Jena, Germany., Kimmel K; Mad Agriculture, Boulder, CO, USA., Koerner SE; Department of Biology, University of North Carolina at Greensboro, Greensboro, NC, USA., Korell L; UFZ, Helmholtz Centre for Environmental Research, Community Ecology, Theodor-Lieser-Strasse 4, 06120, Halle, Germany.; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103, Leipzig, Germany., Langley JA; Department of Biology, Center for Biodiversity and Ecosystem Stewardship, Villanova University, Villanova, PA, USA., Münkemüller T; Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, Grenoble, France., Ohlert T; Department of Biology, Colorado State University, Fort Collins, CO, USA., Onstein RE; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103, Leipzig, Germany.; Naturalis Biodiversity Center, Leiden, Netherlands., Roscher C; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103, Leipzig, Germany.; UFZ, Helmholtz Centre for Environmental Research, Physiological Diversity, Permoserstrasse 15, 04318, Leipzig, Germany., Soudzilovskaia NA; Centre for Environmental Sciences (CMK), Hasselt University, Hasselt, Belgium., Taylor BN; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA., Tedersoo L; Mycology and Microbiology Center, University of Tartu, Tartu, Estonia., Terry RS; Department of Biology, University of North Carolina at Greensboro, Greensboro, NC, USA., Wilcox K; Department of Biology, University of North Carolina at Greensboro, Greensboro, NC, USA.
Jazyk: angličtina
Zdroj: Scientific data [Sci Data] 2024 Jul 18; Vol. 11 (1), pp. 795. Date of Electronic Publication: 2024 Jul 18.
DOI: 10.1038/s41597-024-03637-x
Abstrakt: 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.
(© 2024. The Author(s).)
Databáze: MEDLINE
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