Preprints
https://doi.org/10.5194/bg-2022-172
https://doi.org/10.5194/bg-2022-172
 
02 Sep 2022
02 Sep 2022
Status: this preprint is currently under review for the journal BG.

Technical note: Photosynthetic capacity estimation is dependent on model assumptions

Yujie Wang1 and Christian Frankenberg1,2 Yujie Wang and Christian Frankenberg
  • 1Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, California 91125, USA
  • 2Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California 91109, USA

Abstract. Modeling leaf photosynthesis is crucial for Earth system modeling. However, as photosystem light absorption and gas exchange are not typically simultaneously measured, photosynthetic capacity estimation and thus photosynthesis modeling are subject to inaccurate light absorption representation in photosynthesis models. We analyzed how leaf absorption features and light source may impact photosynthesis modeling at various settings. We found that (1) estimated photosynthetic capacity can be over- or under-estimated depending on model assumption, and the bias increases with higher mismatch in leaf light absorption parameters and higher true capacity; and (2) modeled photosynthetic rate can also be over- or under-estimated depending on model assumption, and the bias increases with higher leaf internal CO2, and increases and then decreases with increasing light intensity. We recommend researchers not to mix and match results or models with inconsistent assumptions when modeling photosynthesis.

Yujie Wang and Christian Frankenberg

Status: open (until 14 Oct 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on bg-2022-172', Anonymous Referee #1, 05 Sep 2022 reply
    • AC1: 'Reply on RC1', Yujie Wang, 08 Sep 2022 reply

Yujie Wang and Christian Frankenberg

Yujie Wang and Christian Frankenberg

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Short summary
Leaf light absorption coefficient is often not measured along with leaf gas exchange, but assumed to be constant. This potentially causes biases in estimated photosynthetic capacity and modeled photosynthetic rates. We explored how leaf light absorption features and light source may impact the photosynthesis modeling, and found that the biases are dependent of model assumptions. Researchers need to be more cautious with these inaccurate assumptions in photosynthesis models.
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