In this study, we used a spatially-explicit ecohydrological model as a framework for a numerical experiment to explore the implication of canopy architecture on the simulated ecophysiological processes in a boreal ecosystem. We constructed two modeling scenarios (CLUMPED and RANDOM) that differed only in the manner in which canopy clumping index ( ) was parameterized within the model and analyzed the simulated ecophysiological processes. We considered the spatio-temporal distribution of the two main ecohydrological indicators: the gross primary productivity (GPP) and evapotranspiration (ET) under the two scenarios. We hypothesized that can affect the partitioning of light distribution in the canopy and hence the accuracy of the simulated GPP and ET via leaf physiological variability. From the preliminary results of this numerical experiment, we concluded that errors in the parameterization of canopy architectural properties had considerable effects on the magnitudes of the simulated ecophysiological processes directly through changes in canopy RT and indirectly through changes in soil water balance-based feedback mechanisms. Hence, we believe that it is important to explicitly consider in ecological models because it can govern the partitioning of light inside a canopy.