Spatial and Temporal Heterogeneity Creates a “Brown Tide” in Root Phenology and Nutrition
Table 4
Hypothesized candidate models, model structure, Akaike Information Criterion with small sample size correction (AICc), difference in AICc score from highest ranked candidate model (ΔAICc), and Akaike weight () of the top 10 candidate models used to predict crude protein content of alpine sweetvetch (Hedysarum alpinum) in west-central Alberta, Canada. The final model (in bold) was selected based on the highest Akaike weight () and ΔAICc > 2.
