TY - JOUR
T1 - The physiological basis for estimating photosynthesis from Chla fluorescence
AU - Han, Jimei
AU - Chang, Christine Y.Y.
AU - Gu, Lianhong
AU - Zhang, Yongjiang
AU - Meeker, Eliot W.
AU - Magney, Troy S.
AU - Walker, Anthony P.
AU - Wen, Jiaming
AU - Kira, Oz
AU - McNaull, Sarah
AU - Sun, Ying
N1 - Funding Information:
This study is supported by NSF Macrosystem Biology (Award 1926488). JH, CYC, JW, and OK and YS also acknowledge support from the USDA‐NIFA Hatch Fund (1014740), the USDA‐NIFA postdoctoral fellowship (2018‐67012‐27985), the NASA MEaSures project, and the United States – Israel Binational Agricultural Research and Development Fund, Vaadia‐BARD Postdoctoral Fellowship Award No. (FI‐576‐18), respectively. YZ acknowledges support from the Maine Agricultural and Forest Experiment Station, and the USDA‐NIFA and Agriculture Hatch Fund (ME022021). ORNL is managed by UT‐Battelle, LLC, for DOE under contract DE‐AC05‐00OR22725. TSM and EWM acknowledge funding from the NASA ECOSTRESS (proposal no. 18‐ECOSTRES18‐0056) program. We thank Sharon Ng and Paul Stachowski for their invaluable field assistance, Lailiang Cheng, Jed Sparks, and Shi‐Jian Yang for sharing instruments and facilities that were necessary to our work, and Yan Xiao and Ting Wang for collecting measurements at Xishuangbanna Tropical Botanical Garden.
Funding Information:
This study is supported by NSF Macrosystem Biology (Award 1926488). JH, CYC, JW, and OK and YS also acknowledge support from the USDA-NIFA Hatch Fund (1014740), the USDA-NIFA postdoctoral fellowship (2018-67012-27985), the NASA MEaSures project, and the United States ? Israel Binational Agricultural Research and Development Fund, Vaadia-BARD Postdoctoral Fellowship Award No. (FI-576-18), respectively. YZ acknowledges support from the Maine Agricultural and Forest Experiment Station, and the USDA-NIFA and Agriculture Hatch Fund (ME022021). ORNL is managed by UT-Battelle, LLC, for DOE under contract DE-AC05-00OR22725. TSM and EWM acknowledge funding from the NASA ECOSTRESS (proposal no. 18-ECOSTRES18-0056) program. We thank Sharon Ng and Paul Stachowski for their invaluable field assistance, Lailiang Cheng, Jed Sparks, and Shi-Jian Yang for sharing instruments and facilities that were necessary to our work, and Yan Xiao and Ting Wang for collecting measurements at Xishuangbanna Tropical Botanical Garden.
Publisher Copyright:
© 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.
PY - 2022/5/1
Y1 - 2022/5/1
N2 - 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 SIFPSII. Once inferred from direct observables of SIF, SIFPSII 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.
AB - 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 SIFPSII. Once inferred from direct observables of SIF, SIFPSII 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.
KW - nonphotochemical quenching (NPQ)
KW - parameter uncertainty
KW - photosynthesis model
KW - redox state of PSII reaction centers
KW - solar-induced chlorophyll fluorescence (SIF)
UR - http://www.scopus.com/inward/record.url?scp=85126478322&partnerID=8YFLogxK
U2 - 10.1111/nph.18045
DO - 10.1111/nph.18045
M3 - Article
C2 - 35181903
AN - SCOPUS:85126478322
SN - 0028-646X
VL - 234
SP - 1206
EP - 1219
JO - New Phytologist
JF - New Phytologist
IS - 4
ER -