The physiological basis for estimating photosynthesis from Chl>em>a fluorescence

Han, Jimei; Chang, Christine Y‐Y.; Gu, Lianhong; Zhang, Yongjiang; Meeker, Eliot W.; Magney, Troy S.; Walker, Anthony P.; Wen, Jiaming; Kira, Oz; McNaull, Sarah; Sun, Ying

doi:10.1111/nph.18045

Title: The physiological basis for estimating photosynthesis from Chl>em>a fluorescence

Journal Article · 18 February 2022 · New Phytologist

DOI: https://doi.org/10.1111/nph.18045 · OSTI ID:1887669

Han, Jimei ^[1];

^[2];

^[3];

^[4]; Meeker, Eliot W. ^[5];

^[6];

^[3];

^[1];

^[7]; McNaull, Sarah ^[1];

^[8]

Cornell University, Ithaca, NY (United States)
Cornell University, Ithaca, NY (United States); US Dept. of Agriculture (USDA), Beltsville, MD (United States)
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
University of Maine, Orono, ME (United States)
Department of Chemical Engineering University of California Davis CA 95616 USA
University of California, Davis, CA (United States)
Cornell University, Ithaca, NY (United States); Ben Gurion University of the Negev, Beer Sheva (Israel)
School of Integrative Plant Science, Soil and Crop Science Section Cornell University Ithaca NY 14850 USA

We report solar-induced Chl fluorescence (SIF) offers the potential to curb large uncertainties in the estimation of photosynthesis across biomes and climates, and at different spatiotemporal scales. However, it remains unclear how SIF should be used to mechanistically estimate photosynthesis. In this study, we built a quantitative framework for the estimation of photosynthesis, based on a mechanistic light reaction model with the Chla fluorescence of Photosystem II (SIFPSII) as an input (MLR-SIF). Utilizing 29 C₃ and C₄ plant species that are representative of major plant biomes across the globe, we confirmed the validity of this framework at the leaf level. The MLR-SIF model is capable of accurately reproducing photosynthesis for all C₃ and C₄ species under diverse light, temperature, and CO₂ conditions. We further tested the robustness of the MLR-SIF model using Monte Carlo simulations, and found that photosynthesis estimates were much less sensitive to parameter uncertainties relative to the conventional Farquhar, von Caemmerer, Berry (FvCB) model because of the additional independent information contained in SIF_PSII. Once inferred from direct observables of SIF, SIF_PSII provides ‘parameter savings’ to the MLR-SIF model, compared to the mechanistically equivalent FvCB model, and thus avoids the uncertainties arising as a result of imperfect model parameterization. Our findings set the stage for future efforts to employ SIF mechanistically to improve photosynthesis estimates across a variety of scales, functional groups, and environmental conditions.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: NASA ECOSTRESS; National Science Foundation; USDOE Office of Science (SC), Biological and Environmental Research (BER); United States Department of Agriculture; United States–Israel Binational Agricultural Research and Development Fund

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1887669

Journal Information:: New Phytologist, Journal Name: New Phytologist Journal Issue: 4 Vol. 234; ISSN 0028-646X

Publisher:: WileyCopyright Statement

Country of Publication:: United States

Language:: English

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59 BASIC BIOLOGICAL SCIENCES
NPQ
nonphotochemical quenching
parameter uncertainty
photosynthesis model
redox state of PSII reaction centers
solar-induced chlorophyll fluorescence (SIF)

Title: The physiological basis for estimating photosynthesis from Chl>em>a fluorescence

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