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CoRRE Trait Data: A dataset of 17 categorical and continuous traits for 4079 grassland species worldwide.
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; Taylor, Benton N; Tedersoo, Leho; Terry, Rosalie S; Wilcox, Kevin.
Afiliação
  • Komatsu KJ; Department of Biology, University of North Carolina at Greensboro, Greensboro, NC, USA. kjkomatsu@uncg.edu.
  • Avolio ML; Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, MD, USA. meghan.avolio@jhu.edu.
  • Padullés Cubino J; Centre for Research on Ecology and Forestry Applications (CREAF), Barcelona, Spain.
  • Schrodt F; School of Geography, University of Nottingham, Nottingham, UK.
  • Auge H; UFZ, Helmholtz Centre for Environmental Research, Community Ecology, Theodor-Lieser-Strasse 4, 06120, Halle, Germany.
  • Cavender-Bares J; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103, Leipzig, Germany.
  • Clark AT; Department of Ecology, Evolution and Behaviour, University of Minnesota, Saint Paul, MN, USA.
  • Flores-Moreno H; University of Graz, Institute of Biology, Holteigasse 6, 8010, Graz, Austria.
  • Grman E; CSIRO Health and Biosecurity, GPO Box 2583, Brisbane, QLD 4001, Australia.
  • Harpole WS; Department of Biology, Eastern Michigan University, Ypsilanti, MI, USA.
  • Kattge J; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103, Leipzig, Germany.
  • Kimmel K; UFZ, Helmholtz Centre for Environmental Research, Physiological Diversity, Permoserstrasse 15, 04318, Leipzig, Germany.
  • Koerner SE; Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
  • Korell L; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103, Leipzig, Germany.
  • Langley JA; Max Planck Institute for Biogeochemistry, Jena, Germany.
  • Münkemüller T; Mad Agriculture, Boulder, CO, USA.
  • Ohlert T; Department of Biology, University of North Carolina at Greensboro, Greensboro, NC, USA.
  • Onstein RE; UFZ, Helmholtz Centre for Environmental Research, Community Ecology, Theodor-Lieser-Strasse 4, 06120, Halle, Germany.
  • Roscher C; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103, Leipzig, Germany.
  • Soudzilovskaia NA; Department of Biology, Center for Biodiversity and Ecosystem Stewardship, Villanova University, Villanova, PA, USA.
  • Taylor BN; Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, Grenoble, France.
  • Tedersoo L; Department of Biology, Colorado State University, Fort Collins, CO, USA.
  • Terry RS; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103, Leipzig, Germany.
  • Wilcox K; Naturalis Biodiversity Center, Leiden, Netherlands.
Sci Data ; 11(1): 795, 2024 Jul 18.
Article em En | MEDLINE | ID: mdl-39025901
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Plantas / Pradaria Idioma: En Revista: Sci Data Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: ENGLAND / ESCOCIA / GB / GREAT BRITAIN / INGLATERRA / REINO UNIDO / SCOTLAND / UK / UNITED KINGDOM

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Plantas / Pradaria Idioma: En Revista: Sci Data Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: ENGLAND / ESCOCIA / GB / GREAT BRITAIN / INGLATERRA / REINO UNIDO / SCOTLAND / UK / UNITED KINGDOM