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Article Dans Une Revue Global Ecology and Biogeography Année : 2020

Global Root Traits (GRooT) Database

1 iDiv - German Centre for Integrative Biodiversity Research
2 WUR - Wageningen University and Research [Wageningen]
3 SETE - Station d'écologie théorique et expérimentale
4 ORNL - Oak Ridge National Laboratory [Oak Ridge]
5 Penn State - Pennsylvania State University
6 MPI-BGC - Max Planck Institute for Biogeochemistry
7 FZJ - Forschungszentrum Jülich GmbH | Centre de recherche de Jülich | Jülich Research Centre
8 Leipzig University / Universität Leipzig
9 BBIB - Berlin-Brandenburg Institute of Advanced Biodiversity Research
10 OSU - Oklahoma State University [Stillwater]
11 Martin-Luther-University Halle-Wittenberg
12 UW - University of Wyoming
13 Georg-August-University = Georg-August-Universität Göttingen
14 UPVM UM3 UFR3 - Université Paul-Valéry Montpellier 3 - Faculté des Sciences humaines et des sciences de l'environnement
15 University of Manchester [Manchester]
16 FIU - Florida International University [Miami]
17 Canadian Forest Service - CFS (CANADA)
18 King‘s College London
19 SBiK-F - Senckenberg Biodiversity and Climate Research Centre
20 DCS - Department of Computer Science [University of Toronto]
21 URJC - Universidad Rey Juan Carlos [Madrid]
22 University of Oldenburg
23 CIDE - Centro de Investigaciones sobre Desertificacion
24 NTNU - Norwegian University of Science and Technology [Trondheim]
25 Universiteit Leiden = Leiden University
26 Northern Arizona University [Flagstaff]
27 Jonah Ventures, Boulder, CO, USA
28 VU - Vrije Universiteit Amsterdam [Amsterdam]
29 University of Toronto at Scarborough
30 HU Berlin - Humboldt-Universität zu Berlin = Humboldt University of Berlin = Université Humboldt de Berlin
31 U of S - University of Saskatchewan [Saskatoon, Canada]
32 MSU - Lomonosov Moscow State University
33 CEAB - Centre d'Estudis Avançats de Blanes
34 HIE - Hawkesbury Institute for the Environment [Richmond]
35 UCLA - University of California [Los Angeles]
36 UdeS - Université de Sherbrooke
37 University of Tartu
38 MNCN - Museo Nacional de Ciencias Naturales [Madrid]
39 Duke University [Durham]
Jens Kattge
  • Fonction : Auteur
  • PersonId : 902909
Jane Catford
Marney Isaac
Vladimir Onipchenko
Josep Peñuelas
Lawren Sack
Bill Shipley

Résumé

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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Dates et versions

hal-02987222 , version 1 (05-11-2020)

Identifiants

Citer

Nathaly Guerrero-Ramirez, Liesje Mommer, Gregoire T. Freschet, Colleen Iversen, M. Luke Mccormack, et al.. Global Root Traits (GRooT) Database. Global Ecology and Biogeography, 2020, 30, pp.25-37. ⟨10.1111/geb.13179⟩. ⟨hal-02987222⟩
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