Best-fit mixed-effects logistic growth model selection results and parameter estimates for canopy shrub volume, shrub density and ecological functioning.

Coefficients vary by Sample Period where they differ significantly from population coefficients, while non-significant coefficients are represented only by the population value. Coefficients were considered significantly different (pAsym, Asymptote; Xmid, Curve inflection point; Scale, Inverse of curve steepness.K, Number of model parameters; AIC, Akaike information criterion; ΔAIC1, AIC difference between the full model with random effects for each Sample Period associated with all fixed parameters and the best model with a reduced random effects structure; ΔAIC2, AIC difference between a model with separate parameters for each Sample Period and a model with separate parameters for the selected period only;**Sample Period different from all other periods combined.