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Canopy scale surface exchange models generally use a mechanistic biochemical model of leaf carbon fixation, an empirical model of stomatal control and a radiative transfer model. These models require environmental drivers such as incoming photosynthetically active radiation, air temperature etc. along with a small number of key canopy parameters such as leaf area index (LAI) and the maximum carboxylation rate Vcmax, needed to derive leaf carbon fixation. Accurate estimation of these model parameters is critically important for modelling surface fluxes.


Several leaf scale studies confirm the use of spectral reflectance data to predict nitrogen and chlorophyll concentrations. These are strongly correlated with Vcmax. Several canopy scale studies have been used to estimate LAI with remotely sensed data. We use a unique dataset to investigate the 3D distribution of nitrogen and chlorophyll concentrations. Lidar data will provide detailed 3D canopy structural information. We will then use a footprint and a photosynthesis model in combination with eddy covariance flux data to investigate the role of spatial variability in LAI and nitrogen content on photosynthetic efficiency.

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