MODELING PHOTOSYNTHESIS IN FLUCTUATING LIGHT WITH INCLUSION OF STOMATAL CONDUCTANCE, BIOCHEMICAL ACTIVATION AND POOLS OF KEY PHOTOSYNTHETICINTERMEDIATES
Muf. Kirschbaum et al., MODELING PHOTOSYNTHESIS IN FLUCTUATING LIGHT WITH INCLUSION OF STOMATAL CONDUCTANCE, BIOCHEMICAL ACTIVATION AND POOLS OF KEY PHOTOSYNTHETICINTERMEDIATES, Planta, 204(1), 1998, pp. 16-26
Photosynthetic carbon gain in rapidly fluctuating light is controlled
by stomatal conductance, activation of ribulose-1,5-bisphosphate carbo
xylase-oxvgenase, a fast induction step in the regeneration of ribulos
e-1,5-bisphosphate, and the build-up of pools of photosynthetic interm
ediates that allow post-illumination CO2 fixation. Experimental work o
ver recent years has identified and characterised these factors. A phy
siologically-based dynamic model is described here that incorporates t
hese factors and allows the simulation of carbon gain in response to a
ny arbitrary sequence of light levels. The model output is found to co
nform well to previously reported plant responses of Alocasia macrorrh
iza (L.) G. Don. observed under widely differing conditions. The model
shows (i) responses of net assimilation rate and stomatal conductance
to constant light levels and different CO2 concentrations that are co
nsistent with experimental observations and predictions of a steady-st
ate model; (ii) carbon gain to continue after the end of lightflecks,
especially in uninduced leaves; (iii) carbon gain to be only marginall
y reduced during low-light periods of up to 2 s; (iv) a fast-inducing
component in the regeneration of ribulose-1,5-bisphosphate to be limit
ing for up to 60 s after an increase in light in uninduced leaves: the
duration of this limitation lengthens with increasing CO2 concentrati
on and is absent at low CO2 concentration; (v) oxygen evolution to exc
eed CO2 fixation during the first few seconds of a lightfleck, but CO2
fixation to continue after the end of the lightfleck whereas oxygen e
volution decreases to low-light rates immediately, The model is thus a
ble to reproduce published responses of leaves to a variety of perturb
ations. This provides good evidence that the present formulation of th
e model includes the essential rate-determining factors of photosynthe
sis under fluctuating light conditions.