Representing Leaf and Root Traits Improves Carbon and Nitrogen Cycling Predictions

Representing Leaf and Root Traits Improves Carbon and Nitrogen Cycling Predictions

Explicitly representing plant physiological root traits and improving the nutrient competition algorithm with the Equilibrium Chemistry Approximation removes known biases in CLM and ALM.
Figure 3. Gross Primary Production (GPP) in the default model (blue) had an unrealistic diurnal cycle that is resolved with improved representation (red) of nutrient competition and root and leaf physiological traits