1. Inicio
  2. The Global Spectra-Trait Initiative: A database of paired leaf spectroscopy and functional traits associated with leaf photosynthetic capacity

The Global Spectra-Trait Initiative: A database of paired leaf spectroscopy and functional traits associated with leaf photosynthetic capacity Artículos académico

  • Perfil
  • Identidad
  • Información Adicional De Documento

Perfil

Autor

  • Adam R. Martin
  • Alain Paquette
  • Alexander W. Cheesman
  • Alistair Rogers
  • Amrutha Vijayakumar
  • Andreas P.M. Weber
  • Andrés Rojas-González
  • Angela C. Burnett
  • Antonia Debora Placido
  • Boya Cui
  • Bruno O. Gimenez
  • Carl J. Bernacchi
  • Charles D. Southwick
  • Christopher Doughty
  • Christopher M. Montes
  • Christopher Y.S. Wong
  • Claire Fortunel
  • Clément Dauvissat
  • Clément Stahl
  • Courtney M. Siegert
  • Daisy C. Souza
  • David Heckmann
  • Dedi Yang
  • Diane R. Wang
  • Elizabeth Ainsworth
  • Etsushi Kumagai
  • Fengqi Wu
  • Giacomo Sellan
  • Guangqin Song
  • Han Wang
  • Heidi J. Renninger
  • Holly Croft
  • Ilona Clocher
  • Iolanda Filella
  • Isabelle Maréchaux
  • Jean Baptiste Féret
  • Jeremiah Anderson
  • Jin Wu
  • Jing Wang
  • Joan Llusià
  • John R. Evans
  • Josep Penuelas
  • Joshua S. Caplan
  • Joy Ojo
  • Julien Lamour
  • Jérôme Chave
  • Kaiyu Guan
  • Katherine Meacham-Hensold
  • Kelvin T. Acebron
  • Kenneth J. Davidson
  • Kim S. Ely
  • Leeladarshini Sujeeun
  • Liangyun Liu
  • Lingli Liu
  • Loren P. Albert
  • Mallory L. Barnes
  • Maquelle Garcia
  • Marcelo Vilas-Boas
  • Marney Isaac
  • Michael Alonzo
  • Milagros Rodriguez-Caton
  • Nicolas Barbier
  • Ninon Besson
  • Onoriode Coast
  • Owen K. Atkin
  • Patrick Heuret
  • Peng Fu
  • Regison Oliveira
  • Robert T. Furbank
  • Romà Ogaya
  • Sabrina Coste
  • Shan Kothari
  • Shawn P. Serbin
  • Sheng Wang
  • Shengbiao Wu
  • Shuwen Liu
  • Thu Ya Kyaw
  • To Chia Ting
  • Troy Magney
  • Urte Schlüter
  • Vicente Vasquez
  • Viridiana Silva-Perez
  • Xiaojin Qian
  • Xin Wang
  • Yanjun Su
  • Yingyi Zhao
  • Zhengbing Yan
  • Zhengfei Guo

Resumen

  • Accurate assessment of leaf functional traits is crucial for a diverse range of applications from crop phenotyping to parameterizing global climate models. Leaf reflectance spectroscopy offers a promising avenue to advance ecological and agricultural research by complementing traditional, time-consuming gas exchange measurements. However, the development of robust hyperspectral models for predicting leaf photosynthetic capacity and associated traits from reflectance data has been hindered by limited data availability across species and environments. Here we introduce the Global Spectra-Trait Initiative (GSTI), a collaborative repository of paired leaf hyperspectral and gas exchange measurements from diverse ecosystems. The GSTI repository currently encompasses over 7500 observations from 397 species and 41 sites gathered from 36 published and unpublished studies, thereby offering a key resource for developing and validating hyperspectral models of leaf photosynthetic capacity. The GSTI database is developed on GitHub (https://github.com/plantphys/gsti, last access: 4 January 2026) and published to ESS-DIVE https://doi.org/10.15485/2530733, Lamour et al., 2025). It includes gas exchange data, derived photosynthetic parameters, and key leaf traits often associated with traditional gas exchange measurements such as leaf mass per area and leaf elemental composition. By providing a standardized repository for data sharing and analysis, we present a critical step towards creating hyperspectral models for predicting photosynthetic traits and associated leaf traits for terrestrial plants.

Área temática

  • Acción por el clima
  • Vida de ecosistemas terrestres

autores

  • http://vivoweb.org/ontology/core#FacultyMember
    Juan Manuel Roberto Posada Hostettler

Edición

  • 18

fecha de publicación

  • 2026-1-9

Identidad

Número Internacional Normalizado de Publicaciones Seriadas (ISSN)

  • 1866-3508

Identificador de objeto digital (DOI)

  • https://doi.org/10.5194/essd-18-245-2026

Información adicional de documento

Número de páginas

  • 21

Página inicial

  • 245

Última página

  • 265