A semi-empirical model was proposed for the simulation of leaf temperature (
Tl), and rates of net photosynthesis (
Pn) and transpiration (
E) of a single rice leaf in steady-states. The model consisted of two main sub-models: one is for solving the energy balance equations to give
E and
Tl and another for
Pn. In both models the energy and mass transfer processes were expressed in terms of the diffusion resistances, namely, the boundary layer (
ra), the stomatal (
rs) and the overall mesophyll or residual (
rM) resistances. Both the sub-models were thus connected by the resistances and
Tl. The diffusion resistances in dependence of wind speed (
U), shortwave radiation flux intensity (
Is), the leaf temperature (
Tl) and ambient humidity were formulated by means of physical and/or empirical equations. By incorporating experimentally specified parameters into the simultaneous equations thus derived, simulations were made to obtain
Pn,
E and
Tl for various environmental conditions.
The following results were obtained from the simulations. First, with the increase in the radiation intensity (
Is) up to about 0.5cal cm
-2min
-1,
E increased very sharply due to the opening of the stomata, resulting in
Tl decrease or only a slight increase, and above this
Is level
E and
Tl both escaped from the stomatal regulations and increased proportionally to
Is. The leaf air temperature difference (
Tl-Ta) was larger the lower the
Ta. Second, three types of curves were derived in photosynthesis (
Pn)-radiation (
Is) relation, depending on the environmental conditions; a non-saturation type curve at lower
Ta, a saturation type curve at near optimal
Ta and an optimal type curve at supra-optimal
Ta with low humidity. The difference in
Pn-
Is curve was attributable to
Is effect on
Tl which in turn reflected on
rs and
rM. Third, as a result of the response of
rs to the leaf air vapour pressure difference,
Pn and
E at lower humidity were suppressed considerably, resulting in
Tl increase. Fourth, with increasing wind speed (
U), Pn and
E at optimal or above optimal
Ta increased, whereas those at sub-optimal
Ta decreased. These contradicting effects of
U on
Pn and
E appeared through its effects on
ra and
Tl.
The simulation results were compared with measured data on rice leaves by a leaf chamber method and also with data by other workers. Except for
Tl at higher
Is and
Ta, the model well explained the observed responses in
Pn, E and
Tl to the environments.
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