A test of the 'one-point method' for estimating maximum carboxylation capacity from field-measured, light-saturated photosynthesis

Martin G. De Kauwe*, Yan Shih Lin, Ian J. Wright, Belinda E. Medlyn, Kristine Y. Crous, David S. Ellsworth, Vincent Maire, I. Colin Prentice, Owen K. Atkin, Alistair Rogers, Ülo Niinemets, Shawn P. Serbin, Patrick Meir, Johan Uddling, Henrique F. Togashi, Lasse Tarvainen, Lasantha K. Weerasinghe, Bradley J. Evans, F. Yoko Ishida, Tomas F. Domingues

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

76 Citations (Scopus)

Abstract

Simulations of photosynthesis by terrestrial biosphere models typically need a specification of the maximum carboxylation rate (Vcmax). Estimating this parameter using A-Ci curves (net photosynthesis, A, vs intercellular CO2 concentration, Ci) is laborious, which limits availability of Vcmax data. However, many multispecies field datasets include net photosynthetic rate at saturating irradiance and at ambient atmospheric CO2 concentration (Asat) measurements, from which Vcmax can be extracted using a 'one-point method'. We used a global dataset of A-Ci curves (564 species from 46 field sites, covering a range of plant functional types) to test the validity of an alternative approach to estimate Vcmax from Asat via this 'one-point method'. If leaf respiration during the day (Rday) is known exactly, Vcmax can be estimated with an r2 value of 0.98 and a root-mean-squared error (RMSE) of 8.19 μmol m-2 s-1. However, Rday typically must be estimated. Estimating Rday as 1.5% of Vcmax, we found that Vcmax could be estimated with an r2 of 0.95 and an RMSE of 17.1 μmol m-2 s-1. The one-point method provides a robust means to expand current databases of field-measured Vcmax, giving new potential to improve vegetation models and quantify the environmental drivers of Vcmax variation.

Original languageEnglish
Pages (from-to)1130-1144
Number of pages15
JournalNew Phytologist
Volume210
Issue number3
DOIs
Publication statusPublished - 1 May 2016

Bibliographical note

Funding Information:
M.G.D.K. was supported by the Australian Research Council (ARC) Linkage grant (LP140100232). Y-S.L. was jointly supported by ARC funding to I.C.P. and I.J.W. (DP120103600) and by TERN eMAST (Ecosystem Modelling and Scaling Infrastructure). We also acknowledge ARC support to D.S.E., B.E.M., I.J.W. and O.K.A. (DP0986823, DP110105102, DP130101252, CE140100008 and FT0991448). D.S.E. and K.Y.C. gratefully acknowledge the Birmingham Institute of Forest Research, the Institute of Advanced Studies at the University of Birmingham, and the Western Sydney University for support during manuscript preparation. I.C.P. is the AXA Research Fund Chair in Biosphere and Climate Impacts and his part in this research contributes to the Chair programme and to the Imperial College initiative ‘Grand Challenges in Ecosystems and the Environment’. A.R. was supported by the Next-Generation Ecosystem Experiments (NGEE Arctic) project that is supported by the Office of Biological and Environmental Research in the Department of Energy, Office of Science. A.R. and S.P.S. were also supported through the United States Department of Energy contract no. DE-SC00112704 to Brookhaven National Laboratory. H.F.T. is supported by an international Macquarie University International Research Scholarship (iMQRES) and H.F.T. and B.J.E. are supported by TERN eMAST. The Terrestrial Ecosystem Research Network (TERN) is supported by the Australian Government through the National Collaborative Research Infrastructure Strategy (NCRIS). Support for P.M. is acknowledged from ARC FT110100457 and NERC NE/J011002/1. Finally we acknowledge support in part to the NSF grant 1146206 and the Moore Foundation grant 3001 to G.P. Asner and we are grateful for the use of data collected as part of RAINFOR by O. Philips.

Funding Information:
M.G.D.K. was supported by the Australian Research Council (ARC) Linkage grant (LP140100232). Y-S.L. was jointly supported by ARC funding to I.C.P. and I.J.W. (DP120103600) and by TERN eMAST (Ecosystem Modelling and Scaling Infrastructure). We also acknowledge ARC support to D.S.E., B.E.M., I.J.W. and O.K.A. (DP0986823, DP110105102, DP130101252, CE140100008 and FT0991448). D.S.E. and K.Y.C. gratefully acknowledge the Birmingham Institute of Forest Research, the Institute of Advanced Studies at the University of Birmingham, and the Western Sydney University for support during manuscript preparation. I.C.P. is the AXA Research Fund Chair in Biosphere and Climate Impacts and his part in this research contributes to the Chair programme and to the Imperial College initiative ?Grand Challenges in Ecosystems and the Environment?. A.R. was supported by the Next-Generation Ecosystem Experiments (NGEE Arctic) project that is supported by the Office of Biological and Environmental Research in the Department of Energy, Office of Science. A.R. and S.P.S. were also supported through the United States Department of Energy contract no. DE-SC00112704 to Brookhaven National Laboratory. H.F.T. is supported by an international Macquarie University International Research Scholarship (iMQRES) and H.F.T. and B.J.E. are supported by TERN eMAST. The Terrestrial Ecosystem Research Network (TERN) is supported by the Australian Government through the National Collaborative Research Infrastructure Strategy (NCRIS). Support for P.M. is acknowledged from ARC FT110100457 and NERC NE/J011002/1. Finally we acknowledge support in part to the NSF grant 1146206 and the Moore Foundation grant 3001 to G.P. Asner and we are grateful for the use of data collected as part of RAINFOR by O. Philips.

Publisher Copyright:
© 2016 New Phytologist Trust.

Keywords

  • A-C curve
  • Leaf respiration during the day (R)
  • Maximum carboxylation rate (V)
  • Net photosynthetic rate at saturating irradiance and at ambient atmospheric CO concentration (A)

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