Global root traits (GRoot) database
[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 comparati...
| Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/241726 |
| Acceso en línea: | http://hdl.handle.net/10261/241726 |
| Access Level: | acceso abierto |
| Palabra clave: | Belowground ecology Functional biogeography Macroecological studies Plant form and function Publicly-available database Root traits |
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Global root traits (GRoot) databaseGuerrero-Ramírez, Nathaly R.Mommer, LiesjeFreschet, Grégoire T.Iversen, Colleen M.McCoarmack, M. LukeKattge, JensPoorter, Hendrikvan der Plas, FonsBergmann, JoannaKuyper, Thom W.York, Larry M.Bruelheide, HelgeLaughlin, Daniel C.Meier, Ina C.Roumet, CatherineSemchenko, MarinaSweeney, Christophervan Ruijven, JasperValverde-Barrantes, Oscar J.Aubin, IsabelleCatford, Jane A.Manning, PeterMartín, AdamMilla, RubénMinden, VanessaPausas, J. G.Smith, Stuart W.Soudzilovskaia, Nadejda A.Ammer, Christiande Vries, Franciska T.Isaac, Marney E.Kramer, KoenKönig, ChristianLamb, Eric G.Onipchenko, Vladimir G.Peñuelas, JosepReich, Peter B.Rillig, Matthias C.Sack, LawrenShipley, BillTedersoo, LehoValladares Ros, Fernandovan Bodegom, PeterWeiglet, PatrickWright, Justin P.Weigelt, AlexandraBelowground ecologyFunctional biogeographyMacroecological studiesPlant form and functionPublicly-available databaseRoot traits[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.The study has been supported by the TRY initiative on plant traits (http://www.try-db.org). The TRY initiative and database are hosted, developed and maintained at the Max Planck Institute for Biogeochemistry, Jena, Germany. TRY is currently supported by DIVERSITAS/Future Earth and the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig. Open access funding enabled and organized by Projekt DEAL.Peer reviewedJohn Wiley & SonsMax Planck Institute for BiogeochemistryGerman Centre for Integrative Biodiversity ResearchConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202120212021info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/241726reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#https://onlinelibrary.wiley.com/doi/full/10.1111/geb.13179Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2417262026-05-22T06:33:51Z |
| dc.title.none.fl_str_mv |
Global root traits (GRoot) database |
| title |
Global root traits (GRoot) database |
| spellingShingle |
Global root traits (GRoot) database Guerrero-Ramírez, Nathaly R. Belowground ecology Functional biogeography Macroecological studies Plant form and function Publicly-available database Root traits |
| title_short |
Global root traits (GRoot) database |
| title_full |
Global root traits (GRoot) database |
| title_fullStr |
Global root traits (GRoot) database |
| title_full_unstemmed |
Global root traits (GRoot) database |
| title_sort |
Global root traits (GRoot) database |
| dc.creator.none.fl_str_mv |
Guerrero-Ramírez, Nathaly R. Mommer, Liesje Freschet, Grégoire T. Iversen, Colleen M. McCoarmack, M. Luke Kattge, Jens Poorter, Hendrik van der Plas, Fons Bergmann, Joanna Kuyper, Thom W. York, Larry M. Bruelheide, Helge Laughlin, Daniel C. Meier, Ina C. Roumet, Catherine Semchenko, Marina Sweeney, Christopher van Ruijven, Jasper Valverde-Barrantes, Oscar J. Aubin, Isabelle Catford, Jane A. Manning, Peter Martín, Adam Milla, Rubén Minden, Vanessa Pausas, J. G. Smith, Stuart W. Soudzilovskaia, Nadejda A. Ammer, Christian de Vries, Franciska T. Isaac, Marney E. Kramer, Koen König, Christian Lamb, Eric G. Onipchenko, Vladimir G. Peñuelas, Josep Reich, Peter B. Rillig, Matthias C. Sack, Lawren Shipley, Bill Tedersoo, Leho Valladares Ros, Fernando van Bodegom, Peter Weiglet, Patrick Wright, Justin P. Weigelt, Alexandra |
| author |
Guerrero-Ramírez, Nathaly R. |
| author_facet |
Guerrero-Ramírez, Nathaly R. Mommer, Liesje Freschet, Grégoire T. Iversen, Colleen M. McCoarmack, M. Luke Kattge, Jens Poorter, Hendrik van der Plas, Fons Bergmann, Joanna Kuyper, Thom W. York, Larry M. Bruelheide, Helge Laughlin, Daniel C. Meier, Ina C. Roumet, Catherine Semchenko, Marina Sweeney, Christopher van Ruijven, Jasper Valverde-Barrantes, Oscar J. Aubin, Isabelle Catford, Jane A. Manning, Peter Martín, Adam Milla, Rubén Minden, Vanessa Pausas, J. G. Smith, Stuart W. Soudzilovskaia, Nadejda A. Ammer, Christian de Vries, Franciska T. Isaac, Marney E. Kramer, Koen König, Christian Lamb, Eric G. Onipchenko, Vladimir G. Peñuelas, Josep Reich, Peter B. Rillig, Matthias C. Sack, Lawren Shipley, Bill Tedersoo, Leho Valladares Ros, Fernando van Bodegom, Peter Weiglet, Patrick Wright, Justin P. Weigelt, Alexandra |
| author_role |
author |
| author2 |
Mommer, Liesje Freschet, Grégoire T. Iversen, Colleen M. McCoarmack, M. Luke Kattge, Jens Poorter, Hendrik van der Plas, Fons Bergmann, Joanna Kuyper, Thom W. York, Larry M. Bruelheide, Helge Laughlin, Daniel C. Meier, Ina C. Roumet, Catherine Semchenko, Marina Sweeney, Christopher van Ruijven, Jasper Valverde-Barrantes, Oscar J. Aubin, Isabelle Catford, Jane A. Manning, Peter Martín, Adam Milla, Rubén Minden, Vanessa Pausas, J. G. Smith, Stuart W. Soudzilovskaia, Nadejda A. Ammer, Christian de Vries, Franciska T. Isaac, Marney E. Kramer, Koen König, Christian Lamb, Eric G. Onipchenko, Vladimir G. Peñuelas, Josep Reich, Peter B. Rillig, Matthias C. Sack, Lawren Shipley, Bill Tedersoo, Leho Valladares Ros, Fernando van Bodegom, Peter Weiglet, Patrick Wright, Justin P. Weigelt, Alexandra |
| author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
| dc.contributor.none.fl_str_mv |
Max Planck Institute for Biogeochemistry German Centre for Integrative Biodiversity Research Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
Belowground ecology Functional biogeography Macroecological studies Plant form and function Publicly-available database Root traits |
| topic |
Belowground ecology Functional biogeography Macroecological studies Plant form and function Publicly-available database Root traits |
| description |
[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. |
| publishDate |
2021 |
| dc.date.none.fl_str_mv |
2021 2021 2021 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Publisher's version info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10261/241726 |
| url |
http://hdl.handle.net/10261/241726 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
#PLACEHOLDER_PARENT_METADATA_VALUE# https://onlinelibrary.wiley.com/doi/full/10.1111/geb.13179 Sí |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.publisher.none.fl_str_mv |
John Wiley & Sons |
| publisher.none.fl_str_mv |
John Wiley & Sons |
| dc.source.none.fl_str_mv |
reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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Consejo Superior de Investigaciones Científicas (CSIC) |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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1869418009384189952 |
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15,811543 |