/Ely_etal_2019_JournalOfExperimentalBotany

Leaf-level Spectra-trait PLSR models to estimate key leaf traits associated with source–sink balance and carbon–nitrogen status using leaf optical properties

GNU General Public License v3.0GPL-3.0

Ely_etal_2019_JournalOfExperimentalBotany

Leaf-level Spectra-trait PLSR models to estimate key leaf traits associated with source–sink balance and carbon–nitrogen status using leaf optical properties

Contains:

  1. The final PLSR model coefficients for each leaf chemical and morphological leaf trait

  2. The article supplemental material as a PDF

  3. Example vignettes showing how to apply the final PLSR models to new datasets availible through EcoSIS

Dataset citations and DOIs:

The datasets used in this study are availible from the NASA EcoSIS database: https://doi.org/doi:10.21232/C2GM2Z

Article citation:

Ely KS, Burnett AC, Lieberman-Cribbin W, Serbin S, Rogers A. 2019. Spectroscopy can predict key leaf traits associated with source-sink balance and carbon-nitrogen status. J Exp Bot 70(6): 1789-1799.