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

Authors :
Komatsu, Kimberly J.
Avolio, Meghan L.
Padullés Cubino, Josep
Schrodt, Franziska
Auge, Harald
Cavender-Bares, Jeannine
Clark, Adam T.
Flores-Moreno, Habacuc
Grman, Emily
Harpole, W. Stanley
Kattge, Jens
Kimmel, Kaitlin
Koerner, Sally E.
Korell, Lotte
Langley, J. Adam
Münkemüller, Tamara
Ohlert, Timothy
Onstein, Renske E.
Roscher, Christiane
Soudzilovskaia, Nadejda A.
Source :
Scientific Data; 7/18/2024, Vol. 11 Issue 1, p1-13, 13p
Publication Year :
2024

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20524463
Volume :
11
Issue :
1
Database :
Complementary Index
Journal :
Scientific Data
Publication Type :
Academic Journal
Accession number :
178527756
Full Text :
https://doi.org/10.1038/s41597-024-03637-x