Data from TropiRoot 1.0 database: tropical root characteristics across environments

Cordeiro, Amanda L.; Cusack, Daniela F.; Guerrero-Ramírez, Nathaly; Norby, Richard J.; Toro, Laura; Wong, Michelle Y.; Wright, S. Joseph; Cabugao, Kristine Grace M.; Andersen, Kelly M.; Fuchslueger, Lucia; Iversen, Colleen M.; Soper, Fiona; Ghimire, Om Prakash; Lugli, Laynara F.; Miron, Ana Caroline; Valverde-Barrantes, Oscar; Arnaud, Marie; Batterman, Sarah; Dietterich, Lee H.; Lee, Ming Yang; Weemstra, Monique; Yaffar, Daniela; Addo-Danso, Shalom D.; Pierick, Kerstin; Bridges, Ryan; Easton, Carina; Felsing, Isabella; Gonçalves, Nathan B.; Krudop, Riley; McKinzie, Mason R.; Perbohner, Julia; Pozzoli-Oropeza, Alejandra N.; Samaniego, Mirna; Smilor, Alex W.; Vargas, Ilana S.; Webb, Layna; Nikitin, Teddy; Powers, Jennifer S.; McCormack, M. Luke

doi:10.15485/2507279

Title: Data from TropiRoot 1.0 database: tropical root characteristics across environments

Dataset
Other Related Research

Abstract

TropiRoot 1.0 is a new tropical root database with root characteristics across environment gradients. It has data extracted from 104 new sources, resulting in more than 8000 rows of data (either species or community data). Most of the data in TropiRoot 1.0 includes root characteristics such as root biomass, morphology, root dynamics, mass fraction, architecture, anatomy, physiology and root chemistry. This initiative represents an approximately 30% increase in the currently available data for tropical roots in the Fine Root Ecology Database (FRED). TropiRoot 1.0, contains root characteristics from 25 different countries where seven are located in Asia, six in South America, five in Central America and the Caribbean, four in Africa, two in North America, and 1 in Oceania. Due to the volume of data, when ancillary data was available, including soil data, these data was either extracted and included in the database or their availability was recorded in an additional column. Multiple contributors checked the entries for outliers during the collation process to ensure data quality. For text-based observations, we examined all cells to ensure that their content relates to their specific categories. For numerical observations, we ordered each numerical value from least to greatest and plotted the values,more »« less

Authors:

;

; Toro, Laura;

;

; Cabugao, Kristine Grace M.;

;

; Iversen, Colleen M.;

;

University of Minnesota - St. Paul
Colorado State University
Biodiversity, Macroecology and Biogeography, Faculty of Forest Sciences and Forest Ecology, University of Göttingen, Göttingen, Germany; Centre of Biodiversity and Sustainable Land Use, University of Göttingen, Göttingen, Germany
University of Tennessee
Science and Conservation Division, Missouri Botanical Garden, Saint Louis, MO, USA
Yale University
Smithsonian Tropical Research Institute
The Nature Conservancy
Centre for Microbiology and Environmental Systems Science, University of Vienna, Djerassiplatz 1, 1030 Vienna, Austria (second affiliaton: Environment and Climate Hub, University of Vienna, Althanstrasse 2-6, 1090 Vienna, Austria)
Oak Ridge National Laboratory
McGill University
Clemson University
Technical University of Munich
University of Hamburg
Department of Biological Sciences, Institute of Environment, International Center of Tropical Botany, Florida International University, Miami, FL 33199 USA.
CNRS, Sorbonne Université, INRAE, Institut of Ecology and Environmental Sciences (IEES), Paris, France
Cary Institute of Ecosystem Studies, University of Leeds, Smithsonian Tropical Research Institute
Nanyang Technological University
University of Michigan
CSIR-Forestry Research Institute of Ghana
University of Göttingen
Michigan State University
The Morton Arboretum

Publication Date:: Wed Jan 01 04:00:00 UTC 2025

DOE Contract Number:: AC02-05CH11231

Research Org.:: Synthesis of existing tropical root data: How do natural, episodic disturbances alter tropical forest carbon cycles via changes in belowground dynamics?

Sponsoring Org.:: U.S. DOE > Office of Science > Biological and Environmental Research (BER)

Subject:: 54 ENVIRONMENTAL SCIENCES; Database; ESS-DIVE File Level Metadata Reporting Format; FRED; Functional Traits; Plants; Root Characteristics; Root Traits; TropiRoot; Tropical; related identifiers; root anatomy; root architecture; root biomass; root chemistry; root dynamics; root microbial associations; root morphology; root physiology; root system

OSTI Identifier:: 2507279

DOI:: https://doi.org/10.15485/2507279

Citation Formats


                    Cordeiro, Amanda L., Cusack, Daniela F., Guerrero-Ramírez, Nathaly, Norby, Richard J., Toro, Laura, Wong, Michelle Y., Wright, S. Joseph, Cabugao, Kristine Grace M., Andersen, Kelly M., Fuchslueger, Lucia, Iversen, Colleen M., Soper, Fiona, Ghimire, Om Prakash, Lugli, Laynara F., Miron, Ana Caroline, Valverde-Barrantes, Oscar, Arnaud, Marie, Batterman, Sarah, Dietterich, Lee H., Lee, Ming Yang, Weemstra, Monique, Yaffar, Daniela, Addo-Danso, Shalom D., Pierick, Kerstin, Bridges, Ryan, Easton, Carina, Felsing, Isabella, Gonçalves, Nathan B., Krudop, Riley, McKinzie, Mason R., Perbohner, Julia, Pozzoli-Oropeza, Alejandra N., Samaniego, Mirna, Smilor, Alex W., Vargas, Ilana S., Webb, Layna, Nikitin, Teddy, Powers, Jennifer S., and McCormack, M. Luke. Data from TropiRoot 1.0 database: tropical root characteristics across environments.  United States: N. p., 2025. 
        Web.  doi:10.15485/2507279.

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                    Cordeiro, Amanda L., Cusack, Daniela F., Guerrero-Ramírez, Nathaly, Norby, Richard J., Toro, Laura, Wong, Michelle Y., Wright, S. Joseph, Cabugao, Kristine Grace M., Andersen, Kelly M., Fuchslueger, Lucia, Iversen, Colleen M., Soper, Fiona, Ghimire, Om Prakash, Lugli, Laynara F., Miron, Ana Caroline, Valverde-Barrantes, Oscar, Arnaud, Marie, Batterman, Sarah, Dietterich, Lee H., Lee, Ming Yang, Weemstra, Monique, Yaffar, Daniela, Addo-Danso, Shalom D., Pierick, Kerstin, Bridges, Ryan, Easton, Carina, Felsing, Isabella, Gonçalves, Nathan B., Krudop, Riley, McKinzie, Mason R., Perbohner, Julia, Pozzoli-Oropeza, Alejandra N., Samaniego, Mirna, Smilor, Alex W., Vargas, Ilana S., Webb, Layna, Nikitin, Teddy, Powers, Jennifer S., & McCormack, M. Luke. Data from TropiRoot 1.0 database: tropical root characteristics across environments.  United States.  doi:https://doi.org/10.15485/2507279

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                    Cordeiro, Amanda L., Cusack, Daniela F., Guerrero-Ramírez, Nathaly, Norby, Richard J., Toro, Laura, Wong, Michelle Y., Wright, S. Joseph, Cabugao, Kristine Grace M., Andersen, Kelly M., Fuchslueger, Lucia, Iversen, Colleen M., Soper, Fiona, Ghimire, Om Prakash, Lugli, Laynara F., Miron, Ana Caroline, Valverde-Barrantes, Oscar, Arnaud, Marie, Batterman, Sarah, Dietterich, Lee H., Lee, Ming Yang, Weemstra, Monique, Yaffar, Daniela, Addo-Danso, Shalom D., Pierick, Kerstin, Bridges, Ryan, Easton, Carina, Felsing, Isabella, Gonçalves, Nathan B., Krudop, Riley, McKinzie, Mason R., Perbohner, Julia, Pozzoli-Oropeza, Alejandra N., Samaniego, Mirna, Smilor, Alex W., Vargas, Ilana S., Webb, Layna, Nikitin, Teddy, Powers, Jennifer S., and McCormack, M. Luke. 2025.  
"Data from TropiRoot 1.0 database: tropical root characteristics across environments".  United States.  doi:https://doi.org/10.15485/2507279.  https://www.osti.gov/servlets/purl/2507279. Pub date:Wed Jan 01 04:00:00 UTC 2025

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@article{osti_2507279,

  title        = {Data from TropiRoot 1.0 database: tropical root characteristics across environments},

  author       = {Cordeiro, Amanda L. and Cusack, Daniela F. and Guerrero-Ramírez, Nathaly and Norby, Richard J. and Toro, Laura and Wong, Michelle Y. and Wright, S. Joseph and Cabugao, Kristine Grace M. and Andersen, Kelly M. and Fuchslueger, Lucia and Iversen, Colleen M. and Soper, Fiona and Ghimire, Om Prakash and Lugli, Laynara F. and Miron, Ana Caroline and Valverde-Barrantes, Oscar and Arnaud, Marie and Batterman, Sarah and Dietterich, Lee H. and Lee, Ming Yang and Weemstra, Monique and Yaffar, Daniela and Addo-Danso, Shalom D. and Pierick, Kerstin and Bridges, Ryan and Easton, Carina and Felsing, Isabella and Gonçalves, Nathan B. and Krudop, Riley and McKinzie, Mason R. and Perbohner, Julia and Pozzoli-Oropeza, Alejandra N. and Samaniego, Mirna and Smilor, Alex W. and Vargas, Ilana S. and Webb, Layna and Nikitin, Teddy and Powers, Jennifer S. and McCormack, M. Luke},

  abstractNote = {TropiRoot 1.0 is a new tropical root database with root characteristics across environment gradients. It has data extracted from 104 new sources, resulting in more than 8000 rows of data (either species or community data). Most of the data in TropiRoot 1.0 includes root characteristics such as root biomass, morphology, root dynamics, mass fraction, architecture, anatomy, physiology and root chemistry. This initiative represents an approximately 30% increase in the currently available data for tropical roots in the Fine Root Ecology Database (FRED). TropiRoot 1.0, contains root characteristics from 25 different countries where seven are located in Asia, six in South America, five in Central America and the Caribbean, four in Africa, two in North America, and 1 in Oceania. Due to the volume of data, when ancillary data was available, including soil data, these data was either extracted and included in the database or their availability was recorded in an additional column. Multiple contributors checked the entries for outliers during the collation process to ensure data quality. For text-based observations, we examined all cells to ensure that their content relates to their specific categories. For numerical observations, we ordered each numerical value from least to greatest and plotted the values, checking apparent outliers against the data in their respective sources and correcting or removing incorrect or impossible values. Some data (soil and aboveground) have different columns for the same variable presented in different units, including originally published units, but root characteristics data had units converted to match the ones reported in FRED. By filling a gap from global databases, TropiRoot 1.0 expands our knowledge of otherwise so far underrepresented regions, and our ability to assess global trends. This advancement can be used to improve tropical forest representation in vegetation models.},

  doi          = {10.15485/2507279},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Wed Jan 01 04:00:00 UTC 2025},

  month        = {Wed Jan 01 04:00:00 UTC 2025}

}

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DOI: https://doi.org/10.15485/2507279

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