EGU22-9428, updated on 28 Mar 2022
https://doi.org/10.5194/egusphere-egu22-9428
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

The carbon cost of Transpiration from Optimality Theory

David Sandoval1,2, Alienor Lavergne3,4, and Colin Prentice1,5,6
David Sandoval et al.
  • 1Life Sciences Department, Imperial College London, Ascot, United Kingdom of Great Britain – England, Scotland, Wales (d.sandoval17@imperial.ac.uk)
  • 2Leverhulme Centre for Wildfires, Environment, and Society, Imperial College London, London, United Kingdom of Great Britain – England, Scotland, Wales
  • 3Department of Geography and Environmental Science, University of Reading, Reading, United Kingdom of Great Britain – England, Scotland, WalesUnited Kingdom (alienor.lavergne@gmail.com)
  • 4Department of Physics, Imperial College London, London, United Kingdom of Great Britain – England, Scotland, Wales
  • 5Department of Biological Sciences, Macquarie University, North Ryde, Australia
  • 6Department of Earth System Science, Tsinghua University, Beijing, China

Optimality theory states that the plants balance the carbon cost of photosynthesis with the cost of absorbing water thus satisfying a.δ(E/A)/δχ = -b. δ(Vcmax/A)/δχ, where χ is the ratio of leaf intercellular to ambient partial pressure of CO2, “a” is the cost of maintaining the transpiration rate (E), required to support assimilation at a rate A under normal daytime conditions. While “b” is the cost of maintaining carboxylation capacity (Vcmax) at the level required to support assimilation at the same rate. Thus, the “a” cost, theoretically, should express the unit of maintenance respiration of the sapwood per unit of transpiration.

Here, we developed a mathematical expression to calculate the expected “a” cost (aexp) under the optimality framework of the P-model using eddy covariance measurements of CO2 exchange combined with environmental and transpiration measurements from the SAPFLUXNET database.

We then compared aexp against two theoretical formulations of “a”. One (noted atheo1) was estimated as a function of the viscosity of water at a given temperature η(T) compared to that at 25°C, which was proposed by Wang et al., (2017, Nat. Plants). And a second one (noted atheo2), proposed by Prentice et al., (2014, Ecol. Lett.) where “a” depends on the soil-leaf water potential gradient (Δψ), η(T) and parameters defining hydraulic traits and respiration which were obtained from the literature.

The seasonal pattern of aexp suggests that it is more costly for the ecosystem to transpire during the dry months. We found that atheo1 has opposite seasonal variations to aexp and strongly underestimates “a” during dry months. In contrast, atheo2 shows similar seasonal variations to aexp but generally overestimates the aexp values by almost 4 times. Simple regression analyses showed, as expected, that aexp  is inversely proportional to Δψ, but that, opposite to what was expected, it increases with a reduction of the water viscosity.

Overall, our results suggest that an improved formulation of the cost ratio “a” should account for the effect of water stress on transpiration and assimilation in the optimality theory.

How to cite: Sandoval, D., Lavergne, A., and Prentice, C.: The carbon cost of Transpiration from Optimality Theory, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9428, https://doi.org/10.5194/egusphere-egu22-9428, 2022.