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Title: | CoRRE Trait Data: A dataset of 17 categorical and continuous traits for 4079 grassland species worldwide | Authors: | Komatsu, Kimberly J. Avolio, Meghan L. Padulles 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 Munkemuller, Tamara Ohlert, Timothy Onstein, Renske E. Roscher, Christiane SOUDZILOVSKAIA, Nadia Taylor, Benton N. Tedersoo, Leho Terry, Rosalie S. Wilcox, Kevin |
Issue Date: | 2024 | Publisher: | NATURE PORTFOLIO | Source: | Scientific data, 11 (1) (Art N° 795) | 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. | Notes: | Komatsu, KJ (corresponding author), Univ North Carolina Greensboro, Dept Biol, Greensboro, NC 27402 USA.; Avolio, ML (corresponding author), Johns Hopkins Univ, Dept Earth & Planetary Sci, Baltimore, MD 21218 USA. kjkomatsu@uncg.edu; meghan.avolio@jhu.edu |
Keywords: | Ecosystem;Grassland;Plants | Document URI: | http://hdl.handle.net/1942/43622 | e-ISSN: | 2052-4463 | DOI: | 10.1038/s41597-024-03637-x | ISI #: | 001272767500006 | Rights: | The Author(s) 2024. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. Te images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ | Category: | A1 | Type: | Journal Contribution |
Appears in Collections: | Research publications |
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