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Modeling leaf CO 2 assimilation and Photosystem II photochemistry from chlorophyll fluorescence and the photochemical reflectance index
Author(s) -
Hikosaka Kouki,
Noda Hibiki M.
Publication year - 2019
Publication title -
plant, cell and environment
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.646
H-Index - 200
eISSN - 1365-3040
pISSN - 0140-7791
DOI - 10.1111/pce.13461
Subject(s) - photochemistry , photochemical reflectance index , photosystem ii , chlorophyll fluorescence , fluorescence , chlorophyll , chemistry , chlorophyll a , photosynthesis , reflectivity , optics , physics , biochemistry , organic chemistry
We present a simple model to assess the quantum yield of photochemistry (Φ P ) and CO 2 assimilation rate from two parameters that are detectable by remote sensing: chlorophyll (chl) fluorescence and the photochemical reflectance index (PRI). Φ P is expressed as a simple function of the chl fluorescence yield (Φ F ) and nonphotochemical quenching (NPQ): Φ P = 1– b Φ F (1 + NPQ). Because NPQ is known to be related with PRI, Φ P can be remotely assessed from solar‐induced fluorescence and the PRI. The CO 2 assimilation rate can be assessed from the estimated Φ P value with either the maximum carboxylation rate ( V cmax ), the intercellular CO 2 concentration ( C i ), or parameters of the stomatal conductance model. The model was applied to experimental data obtained for Chenopodium album leaves under various environmental conditions and was able to successfully predict Φ F values and the CO 2 assimilation rate. The present model will improve the accuracy of assessments of gas exchange rates and primary productivity by remote sensing.