Supplement 8. Complete AICc results for Shortgrass Steppe LTER (Nunn, CO, USA).

File List
Supplement8.csv (MD5: de2f8325bb54eb8b6bac123ebbb8ef4b)

Description
Model selection results from analysis of the relationship between weather models and total plant species (A) richness and (B) diversity at Shortgrass Steppe (1993–2011, N = 19). R² = least-square means regression coefficient, K = # of model parameters including intercept and first order autoregressive parameter estimate, LL = log likelihood, AICc = Akaike Information Criterion corrected for small samples size, DAICc=difference in AICc value between given model and model with lowest AICC, wi = Akaike weights (measure of relative importance of a given model compared to all other models in the model set). CV = coefficient of variation, sum = summer, spr = spring, win = winter, PPT = precipitation, TEMP = temperature, t_1 = season preceding growing season (spring and summer) when plants were sampled. Ecologically meaningful models (EMMs) were those with DAICc < 2 and R² > 0.30. Model # corresponds to a priori models as described in Appendix B.