
Modeling stomatal and nonstomatal effects of water deficits on CO 2 fixation in a semiarid grassland
Author(s) -
Grant R. F.,
Flanagan L. B.
Publication year - 2007
Publication title -
journal of geophysical research: biogeosciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.67
H-Index - 298
eISSN - 2156-2202
pISSN - 0148-0227
DOI - 10.1029/2006jg000302
Subject(s) - eddy covariance , environmental science , canopy , atmospheric sciences , grassland , soil science , ecosystem , agronomy , hydrology (agriculture) , ecology , physics , biology , geotechnical engineering , engineering
The confidence with which we can model water deficit effects on grassland productivity is limited by uncertainty about the mechanisms, stomatal and nonstomatal, by which soil water deficits reduce CO 2 uptake. We propose that these reductions can accurately be modeled from a combination of stomatal effects on gaseous CO 2 diffusion and nonstomatal effects on biochemical CO 2 fixation. These effects can be combined through a solution for the intercellular CO 2 concentration ( C i ) at which rates of diffusion and fixation are equal for each leaf surface in the canopy. In this model, both stomatal and nonstomatal effects are driven by a common indicator of plant water status calculated in a hydraulically‐driven scheme of soil‐plant‐atmosphere water transfer. As part of the ecosystem model ecosys , this combined model simulated concurrent declines in latent heat effluxes and CO 2 influxes measured by eddy covariance during soil drying in a drought‐affected semiarid grassland. At the same time, the model simulated the declines in C i at which CO 2 fixation occurred during soil drying as calculated from seasonal measurements of phytomass δ 13 C. Alternative model formulations based on stomatal or nonstomatal effects alone simulated these declines in CO 2 influxes and in C i less accurately than did the formulation in which these effects were combined. We conclude that modeling water deficit effects on CO 2 fixation requires the concurrent simulation of stomatal and nonstomatal effects. As part of a larger ecosystem model, this combined model can be used to assess climate effects on grassland productivity.