eCommons

 

Data from: The Physiological Basis for Estimating Photosynthesis from Chlorophyll a Fluorescence

Other Titles

Abstract

These files contain data supporting all results reported in Han et. al. The Physiological Basis for Estimating Photosynthesis from Chlorophyll a Fluorescence. In Han et al. we found: The availability of Solar-Induced chlorophyll Fluorescence (SIF) offers potential to curb large uncertainties in estimating photosynthesis across biomes, climates, and scales. However, it remains unclear how SIF should be used to mechanistically estimate photosynthesis. This study built a quantitative framework to estimate photosynthesis, based on a mechanistic light reaction model with chlorophyll a fluorescence from PSII (SIFPSII) as an input (MLR-SIF). Utilizing 29 C3 and C4 plant species representative of major plant biomes across the globe, we verified such a framework at the leaf level. MLR-SIF 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 MLR-SIF using Monte Carlo simulations, and found that the estimated photosynthesis is much less sensitive to parameter uncertainties relative to the conventional Farquhar, von Caemmerer, Berry (FvCB) model because of additional independent information contained in SIFPSII. SIFPSII, once inferred from direct observables of SIF, provides “parameter savings” to the MLR-SIF as compared to the mechanistically equivalent FvCB and thus shortcuts the uncertainties propagated from imperfect model parameterization. Our findings set the stage for future efforts employing SIF mechanistically to improve photosynthesis estimation across scales, functional groups, and environmental conditions.

Journal / Series

Volume & Issue

Description

Please cite as: Jimei Han, Lianhong Gu, Yongjiang Zhang, Ying Sun. (2022) Data from: The Physiological Basis for Estimating Photosynthesis from Chlorophyll a Fluorescence. [dataset] Cornell University eCommons Repository. https://doi.org/10.7298/q3hb-zq56

Sponsorship

This work was supported in part through NSF Macrosystem Biology to YS, Grant #:1926488; USDA-NIFA Hatch Award to YS, Grant #: 1014740; NASA MEaSures project to YS; USDA-NIFA and Agriculture Hatch Fund to YZ, Grant #: ME022021; This research is also supported by the US Department of Energy (DOE), Office of Science, Biological and Environmental Research Program. ORNL is managed by UT-Battelle, LLC, for DOE under contract DE-AC05-00OR22725.

Date Issued

2022-02-17

Publisher

Keywords

photosynthesis model; Non-Photochemical Quenching (NPQ); parameter uncertainty; redox state of PSII reaction centers

Location

Effective Date

Expiration Date

Sector

Employer

Union

Union Local

NAICS

Number of Workers

Committee Chair

Committee Co-Chair

Committee Member

Degree Discipline

Degree Name

Degree Level

Related Version

Related DOI

Related To

Related Part

Based on Related Item

Has Other Format(s)

Part of Related Item

Related To

Related Publication(s)

Han J., Chang C. Y., Gu L., Zhang Y., Meeker E.W., Magney T.S., Walker A.P., Wen J., Kira O., McNaull S., Sun Y. (2022) The Physiological Basis for Estimating Photosynthesis from Chlorophyll a Fluorescence. New Phytologist, 234(4), 1206–1219. https://doi.org/10.1111/nph.18045

Link(s) to Related Publication(s)

References

Link(s) to Reference(s)

Previously Published As

Government Document

ISBN

ISMN

ISSN

Other Identifiers

Rights

Attribution 4.0 International

Types

dataset

Accessibility Feature

Accessibility Hazard

none

Accessibility Summary

Link(s) to Catalog Record