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Global root traits (GRooT) database

Publication ,  Journal Article
Guerrero-Ramírez, NR; Mommer, L; Freschet, GT; Iversen, CM; McCormack, ML; Kattge, J; Poorter, H; van der Plas, F; Bergmann, J; Kuyper, TW ...
Published in: Global Ecology and Biogeography
January 1, 2021

Motivation: Trait data are fundamental to the quantitative description of plant form and function. Although root traits capture key dimensions related to plant responses to changing environmental conditions and effects on ecosystem processes, they have rarely been included in large-scale comparative studies and global models. For instance, root traits remain absent from nearly all studies that define the global spectrum of plant form and function. Thus, to overcome conceptual and methodological roadblocks preventing a widespread integration of root trait data into large-scale analyses we created the Global Root Trait (GRooT) Database. GRooT provides ready-to-use data by combining the expertise of root ecologists with data mobilization and curation. Specifically, we (a) determined a set of core root traits relevant to the description of plant form and function based on an assessment by experts, (b) maximized species coverage through data standardization within and among traits, and (c) implemented data quality checks. Main types of variables contained: GRooT contains 114,222 trait records on 38 continuous root traits. Spatial location and grain: Global coverage with data from arid, continental, polar, temperate and tropical biomes. Data on root traits were derived from experimental studies and field studies. Time period and grain: Data were recorded between 1911 and 2019. Major taxa and level of measurement: GRooT includes root trait data for which taxonomic information is available. Trait records vary in their taxonomic resolution, with subspecies or varieties being the highest and genera the lowest taxonomic resolution available. It contains information for 184 subspecies or varieties, 6,214 species, 1,967 genera and 254 families. Owing to variation in data sources, trait records in the database include both individual observations and mean values. Software format: GRooT includes two csv files. A GitHub repository contains the csv files and a script in R to query the database.

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Published In

Global Ecology and Biogeography

DOI

EISSN

1466-8238

ISSN

1466-822X

Publication Date

January 1, 2021

Volume

30

Issue

1

Start / End Page

25 / 37

Related Subject Headings

  • Ecology
  • 4104 Environmental management
  • 4102 Ecological applications
  • 3103 Ecology
  • 0602 Ecology
  • 0501 Ecological Applications
  • 0406 Physical Geography and Environmental Geoscience
 

Citation

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Guerrero-Ramírez, N. R., Mommer, L., Freschet, G. T., Iversen, C. M., McCormack, M. L., Kattge, J., … Weigelt, A. (2021). Global root traits (GRooT) database. Global Ecology and Biogeography, 30(1), 25–37. https://doi.org/10.1111/geb.13179
Guerrero-Ramírez, N. R., L. Mommer, G. T. Freschet, C. M. Iversen, M. L. McCormack, J. Kattge, H. Poorter, et al. “Global root traits (GRooT) database.” Global Ecology and Biogeography 30, no. 1 (January 1, 2021): 25–37. https://doi.org/10.1111/geb.13179.
Guerrero-Ramírez NR, Mommer L, Freschet GT, Iversen CM, McCormack ML, Kattge J, et al. Global root traits (GRooT) database. Global Ecology and Biogeography. 2021 Jan 1;30(1):25–37.
Guerrero-Ramírez, N. R., et al. “Global root traits (GRooT) database.” Global Ecology and Biogeography, vol. 30, no. 1, Jan. 2021, pp. 25–37. Scopus, doi:10.1111/geb.13179.
Guerrero-Ramírez NR, Mommer L, Freschet GT, Iversen CM, McCormack ML, Kattge J, Poorter H, van der Plas F, Bergmann J, Kuyper TW, York LM, Bruelheide H, Laughlin DC, Meier IC, Roumet C, Semchenko M, Sweeney CJ, van Ruijven J, Valverde-Barrantes OJ, Aubin I, Catford JA, Manning P, Martin A, Milla R, Minden V, Pausas JG, Smith SW, Soudzilovskaia NA, Ammer C, Butterfield B, Craine J, Cornelissen JHC, de Vries FT, Isaac ME, Kramer K, König C, Lamb EG, Onipchenko VG, Peñuelas J, Reich PB, Rillig MC, Sack L, Shipley B, Tedersoo L, Valladares F, van Bodegom P, Weigelt P, Wright JP, Weigelt A. Global root traits (GRooT) database. Global Ecology and Biogeography. 2021 Jan 1;30(1):25–37.
Journal cover image

Published In

Global Ecology and Biogeography

DOI

EISSN

1466-8238

ISSN

1466-822X

Publication Date

January 1, 2021

Volume

30

Issue

1

Start / End Page

25 / 37

Related Subject Headings

  • Ecology
  • 4104 Environmental management
  • 4102 Ecological applications
  • 3103 Ecology
  • 0602 Ecology
  • 0501 Ecological Applications
  • 0406 Physical Geography and Environmental Geoscience