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Title: Global root traits (GRooT) database

Abstract

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 readyto- 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 recordedmore » 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.« less

Authors:
ORCiD logo [1];  [2];  [3]; ORCiD logo [4]; ORCiD logo [5];  [6];  [7];  [8];  [9];  [2]; ORCiD logo [10]; ORCiD logo [11];  [12];  [13];  [14];  [15];  [15];  [2];  [16]; ORCiD logo [17] more »;  [18];  [19];  [20]; ORCiD logo [21];  [22]; ORCiD logo [23];  [24];  [25];  [13];  [26];  [27];  [28];  [29];  [20];  [2];  [30];  [31];  [32];  [33];  [34];  [9];  [35];  [36];  [37];  [38];  [25];  [13];  [39];  [40] « less
  1. German Centre for Integrative Biodiversity Research (iDiv), Leipzig (Germany); Gottingen Univ. (Germany)
  2. Wageningen Univ. (Netherlands)
  3. Centre National de la Recherche Scientifique (CNRS), Moulis (France). Univ. of Toulouse III
  4. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  5. Morton Arboretum, Lisle, IL (United States). Center for Tree Science
  6. German Centre for Integrative Biodiversity Research (iDiv), Leipzig (Germany); Max Planck Society, Jena (Germany). Max Planck Inst. for Biogeochemistry
  7. Forschungszentrum Juelich (Germany); Macquarie Univ., NSW (Australia)
  8. Univ. of Leipzig (Germany)
  9. Freie Univ., Berlin (Germany); Berlin‐Brandenburg Inst. of Advanced Biodiversity Research (BBIB), Berlin (Germany)
  10. Noble Research Inst., Ardmore, OK (United States)
  11. German Centre for Integrative Biodiversity Research (iDiv), Leipzig (Germany); Martin Luther Univ. Halle‐Wittenberg (Germany)
  12. Univ. of Wyoming, Laramie, WY (United States)
  13. Gottingen Univ. (Germany)
  14. Centre National de la Recherche Scientifique (CNRS), Montpellier (France). Montpellier Univ.
  15. Univ. of Manchester (United Kingdom)
  16. Florida International Univ., Miami, FL (United States)
  17. Natural Resources Canada, Sault Ste. Marie, ON (Canada). Canadian Forest Service
  18. King's College London (United Kingdom)
  19. Senckenberg Biodiversity and Climate Research Centre (SBiK‐F), Frankfurt (Germany)
  20. Univ. of Toronto, ON (Canada)
  21. Univ. Rey Juan Carlos, Móstoles (Spain)
  22. Univ. of Oldenburg (Germany); Univ. Brussel, Brussels (Belgium)
  23. Consejo Superior de Investigaciones Cientificas (CSIC), Valencia (Spain)
  24. Norwegian Inst. of Science and Technology, Trondheim (Norway); Nanyang Technological Univ. (Singapore)
  25. Leiden Univ. (Netherlands)
  26. Northern Arizona Univ., Flagstaff, AZ (United States)
  27. Jonah Ventures Boulder Colorado USA
  28. Vrije Univ., Amsterdam (Netherlands)
  29. Univ. of Amsterdam (Netherlands)
  30. Humboldt Univ. of Berlin (Germany)
  31. Univ. of Saskatchewan, Saskatoon, SK (Canada)
  32. Moscow State Univ., Moscow (Russian Federation)
  33. Centre de Recerca Ecològica i Aplicacions Forestals (CREAF), Catalonia (Spain); Consejo Superior de Investigaciones Cientificas (CSIC), Catalonia (Spain)
  34. Univ. of Minnesota, Minneapolis, MN (United States); Univ. of Western Sydney, NSW (Australia)
  35. Univ. of California, Los Angeles, CA (United States)
  36. Univ. de Sherbrooke, Quebec (Canada)
  37. Univ. of Tartu (Estonia)
  38. Consejo Superior de Investigaciones Cientificas (CSIC), Madrid (Spain). National Museum of Natural Sciences (MNCN)
  39. Duke Univ., Durham, NC (United States)
  40. German Centre for Integrative Biodiversity Research (iDiv), Leipzig (Germany); Univ. of Leipzig (Germany)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER); German Research Foundation (DFG); Netherlands Organization for Scientific Research (NWO); Robert Schalkenbach Foundation (RSF)
OSTI Identifier:
1661237
Grant/Contract Number:  
AC05-00OR22725; DFG FZT 118; RU-1815/20-1; RI 1815/22-1; 016.161.318; 16-14-10208
Resource Type:
Accepted Manuscript
Journal Name:
Global Ecology and Biogeography
Additional Journal Information:
Journal Volume: 00; Journal Issue: 1; Journal ID: ISSN 1466-822X
Publisher:
Wiley
Country of Publication:
United States
Language:
English
Subject:
Belowground ecology; functional biogeography; macroecological studies; plant form and function; publicly-available database; root traits

Citation Formats

Guerrero‐Ramírez, Nathaly R., Mommer, Liesje, Freschet, Grégoire T., Iversen, Colleen M., McCormack, M. Luke, Kattge, Jens, Poorter, Hendrik, van der Plas, Fons, Bergmann, Joana, Kuyper, Thom W., York, Larry M., Bruelheide, Helge, Laughlin, Daniel C., Meier, Ina C., Roumet, Catherine, Semchenko, Marina, Sweeney, Christopher J., van Ruijven, Jasper, Valverde‐Barrantes, Oscar J., Aubin, Isabelle, Catford, Jane A., Manning, Peter, Martin, Adam, Milla, Rubén, Minden, Vanessa, Pausas, Juli G., Smith, Stuart W., Soudzilovskaia, Nadejda A., Ammer, Christian, Butterfield, Bradley, Craine, Joseph, Cornelissen, Johannes H. C., 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, Fernando, van Bodegom, Peter, Weigelt, Patrick, Wright, Justin P., and Weigelt, Alexandra. Global root traits (GRooT) database. United States: N. p., 2020. Web. doi:10.1111/geb.13179.
Guerrero‐Ramírez, Nathaly R., Mommer, Liesje, Freschet, Grégoire T., Iversen, Colleen M., McCormack, M. Luke, Kattge, Jens, Poorter, Hendrik, van der Plas, Fons, Bergmann, Joana, Kuyper, Thom W., York, Larry M., Bruelheide, Helge, Laughlin, Daniel C., Meier, Ina C., Roumet, Catherine, Semchenko, Marina, Sweeney, Christopher J., van Ruijven, Jasper, Valverde‐Barrantes, Oscar J., Aubin, Isabelle, Catford, Jane A., Manning, Peter, Martin, Adam, Milla, Rubén, Minden, Vanessa, Pausas, Juli G., Smith, Stuart W., Soudzilovskaia, Nadejda A., Ammer, Christian, Butterfield, Bradley, Craine, Joseph, Cornelissen, Johannes H. C., 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, Fernando, van Bodegom, Peter, Weigelt, Patrick, Wright, Justin P., & Weigelt, Alexandra. Global root traits (GRooT) database. United States. doi:10.1111/geb.13179.
Guerrero‐Ramírez, Nathaly R., Mommer, Liesje, Freschet, Grégoire T., Iversen, Colleen M., McCormack, M. Luke, Kattge, Jens, Poorter, Hendrik, van der Plas, Fons, Bergmann, Joana, Kuyper, Thom W., York, Larry M., Bruelheide, Helge, Laughlin, Daniel C., Meier, Ina C., Roumet, Catherine, Semchenko, Marina, Sweeney, Christopher J., van Ruijven, Jasper, Valverde‐Barrantes, Oscar J., Aubin, Isabelle, Catford, Jane A., Manning, Peter, Martin, Adam, Milla, Rubén, Minden, Vanessa, Pausas, Juli G., Smith, Stuart W., Soudzilovskaia, Nadejda A., Ammer, Christian, Butterfield, Bradley, Craine, Joseph, Cornelissen, Johannes H. C., 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, Fernando, van Bodegom, Peter, Weigelt, Patrick, Wright, Justin P., and Weigelt, Alexandra. Wed . "Global root traits (GRooT) database". United States. doi:10.1111/geb.13179. https://www.osti.gov/servlets/purl/1661237.
@article{osti_1661237,
title = {Global root traits (GRooT) database},
author = {Guerrero‐Ramírez, Nathaly R. and Mommer, Liesje and Freschet, Grégoire T. and Iversen, Colleen M. and McCormack, M. Luke and Kattge, Jens and Poorter, Hendrik and van der Plas, Fons and Bergmann, Joana and Kuyper, Thom W. and York, Larry M. and Bruelheide, Helge and Laughlin, Daniel C. and Meier, Ina C. and Roumet, Catherine and Semchenko, Marina and Sweeney, Christopher J. and van Ruijven, Jasper and Valverde‐Barrantes, Oscar J. and Aubin, Isabelle and Catford, Jane A. and Manning, Peter and Martin, Adam and Milla, Rubén and Minden, Vanessa and Pausas, Juli G. and Smith, Stuart W. and Soudzilovskaia, Nadejda A. and Ammer, Christian and Butterfield, Bradley and Craine, Joseph and Cornelissen, Johannes H. C. and de Vries, Franciska T. and Isaac, Marney E. and Kramer, Koen and König, Christian and Lamb, Eric G. and Onipchenko, Vladimir G. and Peñuelas, Josep and Reich, Peter B. and Rillig, Matthias C. and Sack, Lawren and Shipley, Bill and Tedersoo, Leho and Valladares, Fernando and van Bodegom, Peter and Weigelt, Patrick and Wright, Justin P. and Weigelt, Alexandra},
abstractNote = {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 readyto- 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.},
doi = {10.1111/geb.13179},
journal = {Global Ecology and Biogeography},
number = 1,
volume = 00,
place = {United States},
year = {2020},
month = {9}
}

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