Evidence map›Paper›PMID 39025901›Full record

ArticleScientific data2024

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

Kimberly J Komatsu, Meghan L Avolio, Josep Padullés Cubino, Franziska Schrodt, Harald Auge, Jeannine Cavender-Bares, Adam T Clark, Habacuc Flores-Moreno, Emily Grman, W Stanley Harpole and 14 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Kimberly J Komatsu *Department of Biology, University of North Carolina at Greensboro, Greensboro, NC, USA. kjkomatsu@uncg.edu.ORCID 0000-0001-7056-4547
Meghan L Avolio *Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, MD, USA. meghan.avolio@jhu.edu.
Josep Padullés CubinoCentre for Research on Ecology and Forestry Applications (CREAF), Barcelona, Spain.ORCID 0000-0002-2283-5004
Franziska SchrodtSchool of Geography, University of Nottingham, Nottingham, UK.ORCID 0000-0001-9053-8872
Harald AugeUFZ, Helmholtz Centre for Environmental Research, Community Ecology, Theodor-Lieser-Strasse 4, 06120, Halle, Germany.ORCID 0000-0001-7432-8453
Jeannine Cavender-BaresDepartment of Ecology, Evolution and Behaviour, University of Minnesota, Saint Paul, MN, USA.ORCID 0000-0003-3375-9630
Adam T ClarkUniversity of Graz, Institute of Biology, Holteigasse 6, 8010, Graz, Austria.
Habacuc Flores-MorenoCSIRO Health and Biosecurity, GPO Box 2583, Brisbane, QLD 4001, Australia.ORCID 0000-0002-7083-0005
Emily GrmanDepartment of Biology, Eastern Michigan University, Ypsilanti, MI, USA.
W Stanley HarpoleGerman Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103, Leipzig, Germany.ORCID 0000-0002-3404-9174
Jens KattgeGerman Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103, Leipzig, Germany.ORCID 0000-0002-1022-8469
Kaitlin KimmelMad Agriculture, Boulder, CO, USA.ORCID 0000-0003-3261-5248
Sally E KoernerDepartment of Biology, University of North Carolina at Greensboro, Greensboro, NC, USA.ORCID 0000-0001-6403-7513
Lotte KorellUFZ, Helmholtz Centre for Environmental Research, Community Ecology, Theodor-Lieser-Strasse 4, 06120, Halle, Germany.ORCID 0000-0001-7051-8903
J Adam LangleyDepartment of Biology, Center for Biodiversity and Ecosystem Stewardship, Villanova University, Villanova, PA, USA.ORCID 0000-0001-5164-4760
Tamara MünkemüllerUniv. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, Grenoble, France.
Timothy OhlertDepartment of Biology, Colorado State University, Fort Collins, CO, USA.
Renske E OnsteinGerman Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103, Leipzig, Germany.ORCID 0000-0002-2295-3510
Christiane RoscherGerman Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103, Leipzig, Germany.ORCID 0000-0001-9301-7909
Nadejda A SoudzilovskaiaCentre for Environmental Sciences (CMK), Hasselt University, Hasselt, Belgium.ORCID 0000-0002-9584-2109
Benton N TaylorDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA.ORCID 0000-0002-9834-9192
Leho TedersooMycology and Microbiology Center, University of Tartu, Tartu, Estonia.ORCID 0000-0002-1635-1249
Rosalie S TerryDepartment of Biology, University of North Carolina at Greensboro, Greensboro, NC, USA.ORCID 0000-0003-2246-8002
Kevin WilcoxDepartment of Biology, University of North Carolina at Greensboro, Greensboro, NC, USA.ORCID 0000-0001-6829-1148

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

GrasslandPlantsEcosystem

Identifiers

PMID39025901
PMCPMC11258227

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.