Supplement 6. Complete AICc results for the College Pasture site (Hays, KS, USA).
Supplement6.csv (MD5: e3f159b1ef6d3783b663e3c70bbd2371)
Model selection results from analysis of the relationship between weather models and total plant species (A) richness and (B) diversity in each plant assemblage at College Pasture (1934–1972, N = 39). R² = least-square means regression coefficient, K = # of model parameters including intercept and first order autoregressive parameter, 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). Treatments (TRT) are as follows: No_bb = ungrazed big bluestem assemblage, No_et = ungrazed ecotone assemblage, No_lb = ungrazed little bluestem assemblage, No_sg = ungrazed shortgrass assemblage, Yes_sg = cattle-grazed shortgrass assemblage. 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.