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

Author:

Komatsu Kimberly J.ORCID,Avolio Meghan L.,Padullés Cubino JosepORCID,Schrodt FranziskaORCID,Auge HaraldORCID,Cavender-Bares JeannineORCID,Clark Adam T.,Flores-Moreno HabacucORCID,Grman Emily,Harpole W. StanleyORCID,Kattge JensORCID,Kimmel KaitlinORCID,Koerner Sally E.ORCID,Korell LotteORCID,Langley J. AdamORCID,Münkemüller Tamara,Ohlert Timothy,Onstein Renske E.ORCID,Roscher ChristianeORCID,Soudzilovskaia Nadejda A.ORCID,Taylor Benton N.ORCID,Tedersoo LehoORCID,Terry Rosalie S.ORCID,Wilcox KevinORCID

Abstract

AbstractIn 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.

Funder

German Center for Integrative Biodiversity Research

Publisher

Springer Science and Business Media LLC

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