Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/43622
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dc.contributor.authorKomatsu, Kimberly J.-
dc.contributor.authorAvolio, Meghan L.-
dc.contributor.authorPadulles Cubino, Josep-
dc.contributor.authorSchrodt, Franziska-
dc.contributor.authorAuge, Harald-
dc.contributor.authorCavender-Bares, Jeannine-
dc.contributor.authorClark, Adam T.-
dc.contributor.authorFlores-Moreno, Habacuc-
dc.contributor.authorGrman, Emily-
dc.contributor.authorHarpole, W. Stanley-
dc.contributor.authorKattge, Jens-
dc.contributor.authorKimmel, Kaitlin-
dc.contributor.authorKoerner, Sally E.-
dc.contributor.authorKorell, Lotte-
dc.contributor.authorLangley, J. Adam-
dc.contributor.authorMunkemuller, Tamara-
dc.contributor.authorOhlert, Timothy-
dc.contributor.authorOnstein, Renske E.-
dc.contributor.authorRoscher, Christiane-
dc.contributor.authorSOUDZILOVSKAIA, Nadia-
dc.contributor.authorTaylor, Benton N.-
dc.contributor.authorTedersoo, Leho-
dc.contributor.authorTerry, Rosalie S.-
dc.contributor.authorWilcox, Kevin-
dc.date.accessioned2024-09-02T08:38:15Z-
dc.date.available2024-09-02T08:38:15Z-
dc.date.issued2024-
dc.date.submitted2024-08-19T10:47:54Z-
dc.identifier.citationScientific data, 11 (1) (Art N° 795)-
dc.identifier.urihttp://hdl.handle.net/1942/43622-
dc.description.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.-
dc.description.sponsorshipFunding for the sCoRRE working group that led to the compilation of this trait dataset was provided by the German Centre for Integrative Biodiversity Research (iDiv) to Meghan Avolio and Kimberly Komatsu. We are thankful for the eforts of Sarah Alley, Adriana Alzate, Jane Avolio, Shelley Bennett, Morgan Frost, Sarah Gora, Will Mann, Rachel Souza Ferreira, Jordan Winter, and numerous undergraduate research assistants in helping to gather the categorical trait data presented here.-
dc.language.isoen-
dc.publisherNATURE PORTFOLIO-
dc.rightsThe 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/-
dc.subject.otherEcosystem-
dc.subject.otherGrassland-
dc.subject.otherPlants-
dc.titleCoRRE Trait Data: A dataset of 17 categorical and continuous traits for 4079 grassland species worldwide-
dc.typeJournal Contribution-
dc.identifier.issue1-
dc.identifier.volume11-
local.format.pages13-
local.bibliographicCitation.jcatA1-
dc.description.notesKomatsu, 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.-
dc.description.noteskjkomatsu@uncg.edu; meghan.avolio@jhu.edu-
local.publisher.placeHEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY-
local.type.refereedRefereed-
local.type.specifiedArticle-
local.bibliographicCitation.artnr795-
dc.identifier.doi10.1038/s41597-024-03637-x-
dc.identifier.pmid39025901-
dc.identifier.isi001272767500006-
dc.contributor.orcidAuge, Harald/0000-0001-7432-8453; Harpole, W-
dc.contributor.orcidStanley/0000-0002-3404-9174; Schrodt, Franziska/0000-0001-9053-8872;-
dc.contributor.orcidKomatsu, Kimberly/0000-0001-7056-4547-
local.provider.typewosris-
local.description.affiliation[Komatsu, Kimberly J.; Koerner, Sally E.; Terry, Rosalie S.; Wilcox, Kevin] Univ North Carolina Greensboro, Dept Biol, Greensboro, NC 27402 USA.-
local.description.affiliation[Avolio, Meghan L.] Johns Hopkins Univ, Dept Earth & Planetary Sci, Baltimore, MD 21218 USA.-
local.description.affiliation[Padulles Cubino, Josep] Ctr Ecol Res & Forestry Applicat CREAF, Barcelona, Spain.-
local.description.affiliation[Schrodt, Franziska] Univ Nottingham, Sch Geog, Nottingham, England.-
local.description.affiliation[Auge, Harald; Korell, Lotte] Helmholtz Ctr Environm Res, UFZ, Community Ecol, Theodor Lieser Str 4, D-06120 Halle, Germany.-
local.description.affiliation[Auge, Harald; Harpole, W. Stanley; Kattge, Jens; Korell, Lotte; Onstein, Renske E.; Roscher, Christiane] Halle Jena Leipzig, German Ctr Integrat Biodivers Res iDiv Halle Jena, Puschstr 4, D-04103 Leipzig, Germany.-
local.description.affiliation[Cavender-Bares, Jeannine] Univ Minnesota, Dept Ecol Evolut & Behav, St Paul, MN USA.-
local.description.affiliation[Clark, Adam T.] Karl Franzens Univ Graz, Inst Biol, Holteigasse 6, A-8010 Graz, Austria.-
local.description.affiliation[Flores-Moreno, Habacuc] CSIRO Hlth & Biosecur, GPOB 2583, Brisbane, Qld 4001, Australia.-
local.description.affiliation[Grman, Emily] Eastern Michigan Univ, Dept Biol, Ypsilanti, MI USA.-
local.description.affiliation[Harpole, W. Stanley; Roscher, Christiane] Helmholtz Ctr Environm Res, UFZ, Physiol Divers, Permoserstr 15, D-04318 Leipzig, Germany.-
local.description.affiliation[Harpole, W. Stanley] Martin Luther Univ Halle Wittenberg, Halle, Saale, Germany.-
local.description.affiliation[Kattge, Jens] Max Planck Inst Biogeochem, Jena, Germany.-
local.description.affiliation[Kimmel, Kaitlin] Mad Agr, Boulder, CO USA.-
local.description.affiliation[Langley, J. Adam] Villanova Univ, Ctr Biodivers & Ecosyst Stewardship, Dept Biol, Villanova, PA USA.-
local.description.affiliation[Munkemuller, Tamara] Univ Grenoble Alpes, Univ Savoie Mont Blanc, CNRS, LECA, Grenoble, France.-
local.description.affiliation[Ohlert, Timothy] Colorado State Univ, Dept Biol, Ft Collins, CO USA.-
local.description.affiliation[Onstein, Renske E.] Nat Biodivers Ctr, Leiden, Netherlands.-
local.description.affiliation[Soudzilovskaia, Nadejda A.] Hasselt Univ, Ctr Environm Sci CMK, Hasselt, Belgium.-
local.description.affiliation[Taylor, Benton N.] Harvard Univ, Dept Organism & Evolutionary Biol, Cambridge, MA USA.-
local.description.affiliation[Tedersoo, Leho] Univ Tartu, Mycol & Microbiol Ctr, Tartu, Estonia.-
local.uhasselt.internationalyes-
item.fullcitationKomatsu, 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 (2024) CoRRE Trait Data: A dataset of 17 categorical and continuous traits for 4079 grassland species worldwide. In: Scientific data, 11 (1) (Art N° 795).-
item.fulltextWith Fulltext-
item.contributorKomatsu, Kimberly J.-
item.contributorAvolio, Meghan L.-
item.contributorPadulles Cubino, Josep-
item.contributorSchrodt, Franziska-
item.contributorAuge, Harald-
item.contributorCavender-Bares, Jeannine-
item.contributorClark, Adam T.-
item.contributorFlores-Moreno, Habacuc-
item.contributorGrman, Emily-
item.contributorHarpole, W. Stanley-
item.contributorKattge, Jens-
item.contributorKimmel, Kaitlin-
item.contributorKoerner, Sally E.-
item.contributorKorell, Lotte-
item.contributorLangley, J. Adam-
item.contributorMunkemuller, Tamara-
item.contributorOhlert, Timothy-
item.contributorOnstein, Renske E.-
item.contributorRoscher, Christiane-
item.contributorSOUDZILOVSKAIA, Nadia-
item.contributorTaylor, Benton N.-
item.contributorTedersoo, Leho-
item.contributorTerry, Rosalie S.-
item.contributorWilcox, Kevin-
item.accessRightsOpen Access-
crisitem.journal.eissn2052-4463-
Appears in Collections:Research publications
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