Asymmetrical effects of mesophyll conductance on fundamental photosynthetic parameters and their relationships estimated from leaf gas exchange measurements

Ying Sun, Lianhong Gu, Robert E. Dickinson, Stephen G. Pallardy, John Baker, Yonghui Cao, Fábio Murilo Damatta, Xuejun Dong, David Ellsworth, Davina Van Goethem, Anna M. Jensen, Beverly E. Law, Rodolfo Loos, Samuel C.Vitor Martins, Richard J. Norby, Jeffrey Warren, David Weston, Klaus Winter

Research output: Contribution to journalArticlepeer-review

59 Scopus citations

Abstract

Worldwide measurements of nearly 130 C3 species covering all major plant functional types are analysed in conjunction with model simulations to determine the effects of mesophyll conductance (gm) on photosynthetic parameters and their relationships estimated from A/Ci curves. We find that an assumption of infinite gm results in up to 75% underestimation for maximum carboxylation rate Vcmax, 60% for maximum electron transport rate Jmax, and 40% for triose phosphate utilization rate Tu. Vcmax is most sensitive, Jmax is less sensitive, and Tu has the least sensitivity to the variation of gm. Because of this asymmetrical effect of gm, the ratios of Jmax to Vcmax, Tu to Vcmax and Tu to Jmax are all overestimated. An infinite gm assumption also limits the freedom of variation of estimated parameters and artificially constrains parameter relationships to stronger shapes. These findings suggest the importance of quantifying gm for understanding in situ photosynthetic machinery functioning. We show that a nonzero resistance to CO2 movement in chloroplasts has small effects on estimated parameters. A non-linear function with gm as input is developed to convert the parameters estimated under an assumption of infinite gm to proper values. This function will facilitate gm representation in global carbon cycle models.

Original languageEnglish
Pages (from-to)978-994
Number of pages17
JournalPlant Cell and Environment
Volume37
Issue number4
DOIs
StatePublished - Apr 2014

Keywords

  • A/C curves
  • Carbon cycle model
  • Leaf photosynthesis
  • LeafWeb
  • Parameter estimation

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