U.S. Department of EnergyOffice of Scientific and Technical Information
The Global Spectra-Trait Initiative: A database of paired leaf spectroscopy and functional traits associated with leaf photosynthetic capacity (v1.0.0)
Abstract
The Global Spectra-Trait Initiative (GSTI) aims to generate generalizable spectra trait models using reflectance data to predict leaf traits associated with the photosynthesis capacity of leaves. It comprises a synthesized dataset of leaf trait data, input datasets and code. Leaf traits include the maximum carboxylation rate of rubisco (Vcmax), the maximum electron transport rate (Jmax), the dark respiration, as well as the prediction of leaf nitrogen, leaf mass per area (LMA), and leaf water content (LWC). The dataset comprises >7500 paired observations from around 400 species from a broad range of biomes. This dataset comprises a zip file of the GSTI GitHub repository (https://github.com/plantphys/gsti), the synthesized database (.csv) and database metadata files. This dataset was updated on 2025-12-12 with minor edits to mirror the accepted manuscript version and GitHub release (Version 1.0.0 (ESSD accepted version)). Edits included minor changes to the project documentation on GitHub and removal of 12 duplicate entries from the database.
- Authors:
-
;
;
;
;
;
;
;
;
;
;
;
;
;
;
;
;
;
more »
- Centre de Recherche sur la Biodiversité et l'Environnement (CRBE), Université de Toulouse
- Biospheric Sciences Laboratory, NASA Goddard Space Flight Center
- Climate and Ecosystems Sciences Division, Lawrence Berkeley National Laboratory
- Smithsonian Environmental Research Center
- University of Illinois Urbana-Champaign
- Forest Ecosystems and Society, Oregon State University
- Department of Environmental Science, American University
- Research School of Biology, The Australian National University
- AMAP, Univ Montpellier
- O'Neill School of Public and Environmental Affairs, Indiana University
- Advanced Research + Invention Agency
- Department of Architecture & Environmental Design, Temple University
- College of Science & Engineering, James Cook University
- School of Environmental and Rural Science, University of New England
- Université de la Guyane
- School of Biosciences, University of Sheffield
- Department of Physical and Environmental Sciences, University of Toronto
- AMAP, Université de Montpellier
- American Forests
- School of Informatics, Computing, and Cyber Systems, Northern Arizona University
- ARC Centre of Excellence for Translational Photosynthesis, Research School of Biology, Australian National University
- Université Montpellier
- Universitat Autonoma de Barcelona
- School of Plant, Environmental and Soil Sciences, Louisiana State University
- Department of Forest Ecosystems & Society, Oregon State University
- National Institute of Amazonian Research
- Institute for Sustainability, Energy, and Environment, University of Illinois Urbana-Champaign
- School of Biological Sciences, University of Hong Kong
- Bayer Crop Science
- Department of Renewable Resources, University of Alberta
- Institute for Agro-Environmental Sciences
- Aerospace Information Research Institute, Chinese Academy of Sciences
- Institute of Botany, Chinese Academy of Sciences
- Department of Forest and Wildlife Ecology, University of Wisconsin-Madison
- Department of Plant Sciences, University of California Davis
- Carl R Woese Institute for Genomic Biology, University of Illinois Urbana Champaign
- USDA-ARS Photosynthesis Research Unit
- Centre for Forest Research, Université du Québec à Montréal
- Biology Department, Universidad del Rosario
- Nanjing University of Posts and Telecommunications
- Department of Forestry, Mississippi State University
- Institute for Snow, Glaciers and Environmental Research, IANIGLA-CONICET,
- Facultad de Ciencias Exactas y Naturales, Universidad Nacional, Heredia, Costa Rica
- Institute for Plant Biochemistry, Heinrich Heine University Düsseldorf
- Oregon State University Department of Forest Ecosystems & Society
- UMR EcoFoG, AgroParisTech, Cirad, CNRS, INRAE, Université des Antilles, Université de la Guyane
- Agronomy Department, Purdue University
- School of Forestry, Fisheries and Geomatics, University of Florida
- Department of Agroecology, Aarhus University
- Department of Earth System Science, Tsinghua University
- School of Ecology, Shenzhen Campus of Sun Yat-sen University
- Institute for Plant Biochemistry, Heinrich Heine University
- Faculty of Forestry and Environmental Management, University of New Brunswick
- Faculty of Architecture, The University of Hong Kong
- Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory
- Publication Date:
- DOE Contract Number:
- AC02-05CH11231
- Research Org.:
- Next-Generation Ecosystem Experiments (NGEE) Tropics
- Sponsoring Org.:
- ESS-DIVE; U.S. DOE > Office of Science > Biological and Environmental Research (BER)
- Subject:
- 54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > ECOSYSTEM FUNCTIONS > PHOTOSYNTHESIS; EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > ECOSYSTEM FUNCTIONS > RESPIRATION RATE; ESS-DIVE CSV File Formatting Guidelines Reporting Format; ESS-DIVE File Level Metadata Reporting Format; leaf spectral reflectance; related identifiers
- OSTI Identifier:
- 2530733
- DOI:
- https://doi.org/10.15485/2530733
Citation Formats
Lamour, Julien, Serbin, Shawn, Rogers, Alistair, Ely, Kim, Acebron, Kelvin T., Ainsworth, Elizabeth, Albert, Loren P., Alonzo, Michael, Anderson, Jeremiah, Atkin, Owen K., Barbier, Nicolas, Barnes, Mallory L., Bernacchi, Carl J., Besson, Ninon, Burnett, Angela C., Caplan, Joshua S., Chave, Jérome, Cheesman, Alexander W., Clocher, Ilona, Coast, Onoriode, Coste, Sabrina, Croft, Holly, Cui, Boya, Dauvissat, Clément, Davidson, Kenneth J., Doughty, Christopher, Evans, John, Feret, Jean-Baptiste, Filella, Iolanda, Fortunel, Claire, Fu, Peng, Furbank, Robert, Garcia, Maquelle, Gimenez, Bruno O., Guan, Kaiyu, Guo, Zhengfei, Heckman, David, Heuret, Patrick, Marney, Isaac, Kothari, Shan, Kumagai, Etsushi, Kyaw, Thu Ya, Liu, Liangyun, Liu, Lingli, Liu, Shuwen, Llusià, Joan, Magney, Troy, Maréchaux, Isabelle, Martin, Adam R., Meacham-Hensold, Katherine, Montes, Christopher M., Ogaya, Romà, Ojo, Joy, Oliveira, Regison, Paquette, Alain, Peñuelas, Josep, Placido, Antonia Debora, Posada, Juan M., Qian, Xiaojin, Renninger, Heidi J., Rodriguez-Caton, Milagros, Rojas-González, Andrés, Schlüter, Urte, Sellan, Giacomo, Siegert, Courtney M., Silva Pérez, Viridiana, Song, Guangqin, Southwick, Charles D., Souza, Daisy C., Stahl, Clément, Su, Yanjun, Sujeeun, Leeladarshini, Ting, To-Chia, Vasquez, Vicente, Vijayakumar, Vasquez, Vilas-Boas, Marcelo, Wang, Diane R., Wang, Sheng, Wang, Han, Wang, Jing, Wang, Xin, Weber, Andreas P.M., Wong, Christopher Y.S., Wu, Jin, Wu, Fengqi, Wu, Shengbiao, Yan, Zhengbing, Yang, Dedi, and Zhao, Yingyi. The Global Spectra-Trait Initiative: A database of paired leaf spectroscopy and functional traits associated with leaf photosynthetic capacity (v1.0.0). United States: N. p., 2024.
Web. doi:10.15485/2530733.
Lamour, Julien, Serbin, Shawn, Rogers, Alistair, Ely, Kim, Acebron, Kelvin T., Ainsworth, Elizabeth, Albert, Loren P., Alonzo, Michael, Anderson, Jeremiah, Atkin, Owen K., Barbier, Nicolas, Barnes, Mallory L., Bernacchi, Carl J., Besson, Ninon, Burnett, Angela C., Caplan, Joshua S., Chave, Jérome, Cheesman, Alexander W., Clocher, Ilona, Coast, Onoriode, Coste, Sabrina, Croft, Holly, Cui, Boya, Dauvissat, Clément, Davidson, Kenneth J., Doughty, Christopher, Evans, John, Feret, Jean-Baptiste, Filella, Iolanda, Fortunel, Claire, Fu, Peng, Furbank, Robert, Garcia, Maquelle, Gimenez, Bruno O., Guan, Kaiyu, Guo, Zhengfei, Heckman, David, Heuret, Patrick, Marney, Isaac, Kothari, Shan, Kumagai, Etsushi, Kyaw, Thu Ya, Liu, Liangyun, Liu, Lingli, Liu, Shuwen, Llusià, Joan, Magney, Troy, Maréchaux, Isabelle, Martin, Adam R., Meacham-Hensold, Katherine, Montes, Christopher M., Ogaya, Romà, Ojo, Joy, Oliveira, Regison, Paquette, Alain, Peñuelas, Josep, Placido, Antonia Debora, Posada, Juan M., Qian, Xiaojin, Renninger, Heidi J., Rodriguez-Caton, Milagros, Rojas-González, Andrés, Schlüter, Urte, Sellan, Giacomo, Siegert, Courtney M., Silva Pérez, Viridiana, Song, Guangqin, Southwick, Charles D., Souza, Daisy C., Stahl, Clément, Su, Yanjun, Sujeeun, Leeladarshini, Ting, To-Chia, Vasquez, Vicente, Vijayakumar, Vasquez, Vilas-Boas, Marcelo, Wang, Diane R., Wang, Sheng, Wang, Han, Wang, Jing, Wang, Xin, Weber, Andreas P.M., Wong, Christopher Y.S., Wu, Jin, Wu, Fengqi, Wu, Shengbiao, Yan, Zhengbing, Yang, Dedi, & Zhao, Yingyi. The Global Spectra-Trait Initiative: A database of paired leaf spectroscopy and functional traits associated with leaf photosynthetic capacity (v1.0.0). United States. doi:https://doi.org/10.15485/2530733
Lamour, Julien, Serbin, Shawn, Rogers, Alistair, Ely, Kim, Acebron, Kelvin T., Ainsworth, Elizabeth, Albert, Loren P., Alonzo, Michael, Anderson, Jeremiah, Atkin, Owen K., Barbier, Nicolas, Barnes, Mallory L., Bernacchi, Carl J., Besson, Ninon, Burnett, Angela C., Caplan, Joshua S., Chave, Jérome, Cheesman, Alexander W., Clocher, Ilona, Coast, Onoriode, Coste, Sabrina, Croft, Holly, Cui, Boya, Dauvissat, Clément, Davidson, Kenneth J., Doughty, Christopher, Evans, John, Feret, Jean-Baptiste, Filella, Iolanda, Fortunel, Claire, Fu, Peng, Furbank, Robert, Garcia, Maquelle, Gimenez, Bruno O., Guan, Kaiyu, Guo, Zhengfei, Heckman, David, Heuret, Patrick, Marney, Isaac, Kothari, Shan, Kumagai, Etsushi, Kyaw, Thu Ya, Liu, Liangyun, Liu, Lingli, Liu, Shuwen, Llusià, Joan, Magney, Troy, Maréchaux, Isabelle, Martin, Adam R., Meacham-Hensold, Katherine, Montes, Christopher M., Ogaya, Romà, Ojo, Joy, Oliveira, Regison, Paquette, Alain, Peñuelas, Josep, Placido, Antonia Debora, Posada, Juan M., Qian, Xiaojin, Renninger, Heidi J., Rodriguez-Caton, Milagros, Rojas-González, Andrés, Schlüter, Urte, Sellan, Giacomo, Siegert, Courtney M., Silva Pérez, Viridiana, Song, Guangqin, Southwick, Charles D., Souza, Daisy C., Stahl, Clément, Su, Yanjun, Sujeeun, Leeladarshini, Ting, To-Chia, Vasquez, Vicente, Vijayakumar, Vasquez, Vilas-Boas, Marcelo, Wang, Diane R., Wang, Sheng, Wang, Han, Wang, Jing, Wang, Xin, Weber, Andreas P.M., Wong, Christopher Y.S., Wu, Jin, Wu, Fengqi, Wu, Shengbiao, Yan, Zhengbing, Yang, Dedi, and Zhao, Yingyi. 2024.
"The Global Spectra-Trait Initiative: A database of paired leaf spectroscopy and functional traits associated with leaf photosynthetic capacity (v1.0.0)". United States. doi:https://doi.org/10.15485/2530733. https://www.osti.gov/servlets/purl/2530733. Pub date:Tue Dec 31 19:00:00 EST 2024
@article{osti_2530733,
title = {The Global Spectra-Trait Initiative: A database of paired leaf spectroscopy and functional traits associated with leaf photosynthetic capacity (v1.0.0)},
author = {Lamour, Julien and Serbin, Shawn and Rogers, Alistair and Ely, Kim and Acebron, Kelvin T. and Ainsworth, Elizabeth and Albert, Loren P. and Alonzo, Michael and Anderson, Jeremiah and Atkin, Owen K. and Barbier, Nicolas and Barnes, Mallory L. and Bernacchi, Carl J. and Besson, Ninon and Burnett, Angela C. and Caplan, Joshua S. and Chave, Jérome and Cheesman, Alexander W. and Clocher, Ilona and Coast, Onoriode and Coste, Sabrina and Croft, Holly and Cui, Boya and Dauvissat, Clément and Davidson, Kenneth J. and Doughty, Christopher and Evans, John and Feret, Jean-Baptiste and Filella, Iolanda and Fortunel, Claire and Fu, Peng and Furbank, Robert and Garcia, Maquelle and Gimenez, Bruno O. and Guan, Kaiyu and Guo, Zhengfei and Heckman, David and Heuret, Patrick and Marney, Isaac and Kothari, Shan and Kumagai, Etsushi and Kyaw, Thu Ya and Liu, Liangyun and Liu, Lingli and Liu, Shuwen and Llusià, Joan and Magney, Troy and Maréchaux, Isabelle and Martin, Adam R. and Meacham-Hensold, Katherine and Montes, Christopher M. and Ogaya, Romà and Ojo, Joy and Oliveira, Regison and Paquette, Alain and Peñuelas, Josep and Placido, Antonia Debora and Posada, Juan M. and Qian, Xiaojin and Renninger, Heidi J. and Rodriguez-Caton, Milagros and Rojas-González, Andrés and Schlüter, Urte and Sellan, Giacomo and Siegert, Courtney M. and Silva Pérez, Viridiana and Song, Guangqin and Southwick, Charles D. and Souza, Daisy C. and Stahl, Clément and Su, Yanjun and Sujeeun, Leeladarshini and Ting, To-Chia and Vasquez, Vicente and Vijayakumar, Vasquez and Vilas-Boas, Marcelo and Wang, Diane R. and Wang, Sheng and Wang, Han and Wang, Jing and Wang, Xin and Weber, Andreas P.M. and Wong, Christopher Y.S. and Wu, Jin and Wu, Fengqi and Wu, Shengbiao and Yan, Zhengbing and Yang, Dedi and Zhao, Yingyi},
abstractNote = {The Global Spectra-Trait Initiative (GSTI) aims to generate generalizable spectra trait models using reflectance data to predict leaf traits associated with the photosynthesis capacity of leaves. It comprises a synthesized dataset of leaf trait data, input datasets and code. Leaf traits include the maximum carboxylation rate of rubisco (Vcmax), the maximum electron transport rate (Jmax), the dark respiration, as well as the prediction of leaf nitrogen, leaf mass per area (LMA), and leaf water content (LWC). The dataset comprises >7500 paired observations from around 400 species from a broad range of biomes. This dataset comprises a zip file of the GSTI GitHub repository (https://github.com/plantphys/gsti), the synthesized database (.csv) and database metadata files. This dataset was updated on 2025-12-12 with minor edits to mirror the accepted manuscript version and GitHub release (Version 1.0.0 (ESSD accepted version)). Edits included minor changes to the project documentation on GitHub and removal of 12 duplicate entries from the database.},
doi = {10.15485/2530733},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Dec 31 19:00:00 EST 2024},
month = {Tue Dec 31 19:00:00 EST 2024}
}
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.