The physiological basis for estimating photosynthesis from Chla fluorescence.

Autor: Han J; School of Integrative Plant Science, Soil and Crop Science Section, Cornell University, Ithaca, NY, 14850, USA., Chang CY; School of Integrative Plant Science, Soil and Crop Science Section, Cornell University, Ithaca, NY, 14850, USA.; USDA, Agricultural Research Service, Adaptive Cropping Systems Laboratory, Beltsville, MD, 20705, USA., Gu L; Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA., Zhang Y; School of Biology and Ecology, University of Maine, Orono, ME, 04469, USA., Meeker EW; Department of Chemical Engineering, University of California, Davis, CA, 95616, USA., Magney TS; Department of Plant Sciences, University of California, Davis, CA, 95616, USA., Walker AP; Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA., Wen J; School of Integrative Plant Science, Soil and Crop Science Section, Cornell University, Ithaca, NY, 14850, USA., Kira O; School of Integrative Plant Science, Soil and Crop Science Section, Cornell University, Ithaca, NY, 14850, USA.; Department of Civil and Environmental Engineering, Ben-Gurion University of the Negev, Negev, 8410501, Israel., McNaull S; Cornell Botanic Gardens, Cornell University, Ithaca, NY, 14850, USA., Sun Y; School of Integrative Plant Science, Soil and Crop Science Section, Cornell University, Ithaca, NY, 14850, USA.
Jazyk: angličtina
Zdroj: The New phytologist [New Phytol] 2022 May; Vol. 234 (4), pp. 1206-1219. Date of Electronic Publication: 2022 Mar 20.
DOI: 10.1111/nph.18045
Abstrakt: 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 (SIF PSII ) as an input (MLR-SIF). Utilizing 29 C 3 and C 4 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 C 3 and C 4 species under diverse light, temperature, and CO 2 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.
(© 2022 The Authors. New Phytologist © 2022 New Phytologist Foundation. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.)
Databáze: MEDLINE
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