Data from: The role of spatial averaging scale in leaf-to-canopy scaling of non-linear processes in homogeneous canopies

Canopy biophysical models require averaging fluxes over some spatial scale
(sub-leaf, leaf, sub-crown, crown, whole-canopy, etc.). Choice of
averaging scale can be important when modeling processes like stomatal
conductance and photosynthesis that have a non-linear response to
environmental variables such as light interception. The model results
archived here were used to quantify errors in canopy-level flux
simulations due to averaging scale choice. A detailed leaf-resolving model
was used to simulate light interception for a series of homogeneous
canopies with differing canopy structure. Radiation model parameters and
non-linearity of the light response were also varied. Averaging over
individual leaves and over various sub-leaf resolutions were compared with
averaging approaches used in multi-layer and two-leaf canopy models.