unless otherwise specified by the user (figure 2).
Optionally, leaf nitrogen concentration can be set, or by performing a cost benefit
analysis, the optimum nitrogen concentration for a given canopy layer and light condition
can be calculated following the principles described in Field (1983).
Although single leaf level analysis can provide many insights into
plant adaptation to the environment, integration with canopy level processes is essential
to analysing crop and predicting community productivity (Norman, 1980). To evaluate the
significance of changes inferred at the leaf level to the canopy level, WIMOVAC offers
three separate models of canopy microclimate.
1). A simplified model which treats the canopy as two populations of
leaves, sunlit and shaded (Forseth and Norman, 1991). By dynamically calculating the leaf
areas of sunlit and shaded leaves and the mean irradiance of these two populations, the
mean assimilation rate for each leaf population and consequently the total canopy
photosynthesis can be obtained. The division of leaves into sunlit and shaded classes was
shown by Norman (1980) to provide a substantial improvement in prediction over models
which simply assumed an exponential decline in light through homogeneously lit canopy
layers. Detailed analysis of Norman's equations and the parameters used by WIMOVAC are as
given in Long. (1991) and Long & Drake. (1992).
2).The need for layering of diffuse light absorption, however, was
documented by Reynolds et al. (1992) with a suggested error of up to 15% ascribed
to the single layer model proposed by Norman (1980). WIMOVAC provides a multiple layered
approach to calculating the direct and diffuse components of the light microclimate. The
canopy is considered as 2-n discrete layers, each layer containing an equal
fraction of the total canopy leaf area index (LAI) where n is selectable by the user.
Within each layer WIMOVAC calculates the proportion of sunlit and shaded leaves and the
direct and diffuse radiation within the layer. In addition to this WIMOVAC calculates the
leaf temperature and vapour pressure deficit (VPD) according to Monteith (1973), leaf
nitrogen concentration (either manually set or optimised), stomatal conductance according
to Ball et al. (1987), wind speed according to Reynolds (1992), and transpiration
according to Monteith (1973) for each of the leaf classes (figure 2).
3). In agricultural and planted forest systems, plants are commonly in
rows. The preceding model options assume a random distribution of foliar elements. Before
canopy closure this assumption can lead to serious overestimation of light interception in
row crops where spacing and orientation have an important influence on the light
microclimate (Boote and Pickering, 1994; Boote et al., 1989). Within WIMOVAC row
spacing, width and orientation may be specified, and light microclimate predicted
following the equations of Boote and Pickering (1994) to in turn allow calculation of
canopy photosynthesis.
In order to facilitate investigation of elevated Ca and concomitant
temperature effects on possible canopy water usage, an expression has been introduced into
the canopy models for the instantaneous transpiration of water vapour from the canopy,
according to Penman (1948) and Monteith (1965 and 1973). This expression has been combined
with a boundary layer conductance model which describes the transfer of water vapour from
the evaporating surface to the bulk air stream in terms of the aerodynamics of the
turbulent air above the canopy (Campbell, 1977; Thornley and Johnson, 1990). Transpiration
rates at both the sunlit and shaded leaves within the canopy are considered according to
the appropriate light and temperature microclimate conditions within the canopy, through
the effects of radiation both on stomatal conductance via photosynthesis, and on leaf
temperature. A derivation of the Penman (1948) and Monteith (1965 and 1973) equation in
which transpiration is eliminated, is used to predict the difference between canopy leaf
temperature and the ambient air temperature outside the canopy. Default parameter settings
for both the transpiration and leaf temperature modules were as for Campbell (1977). The
expression relating apparent sink momentum to canopy height, given by Campbell (1977),
however was corrected here and has the form, d=0.77h where d is the apparent sink momentum
and h is the canopy height in metres. Leaf transpiration and leaf temperature are not
independent quantities, and so an iterative procedure is used here to establish their
respective equilibrium values.
WIMOVAC contains a database of standard soil types and the
ability to input characteristics of other user defined soils. The soil
database contains a description of the soils appearance, volumetric field holding
capacity, volumetric wilting point and critical threshold value. The field holding
capacity is taken to be the maximum amount of water that a given soil is able to hold
before run-off occurs. The wilting point is taken to be the soil water content at which
plants growing on the soil are unable to abstract further water. The critical threshold
value is the soil water content at which soil dry down processes due to plant uptake
within the model are switched. The model assumes that soil dry down results from run off
and evaporation of water at the soil surface, percolation to lower layers and uptake by
the plant canopy. If the soil water content is greater than the critical threshold value
the canopy uptake of water is assumed to equal the canopy potential transpiration rate,
assuming no stomatal resistance to leaf water loss. If the soil water content is less than
the critical threshold value and greater than the wilting point value canopy water uptake
is assumed to equal the actual canopy transpiration rate, which is limited by stomatal
resistance. At a soil water content less than the wilting point value the canopy is
assumed to be unable to extract further water from the soil. A multiple layered approach
to soil dry down is adopted here according to Johnson (1993).
WIMOVAC allows the simulation of leaf or canopy microclimate, water and
CO