Fig. 4

Zero/one inflated beta regression models eight field measures as the response variable and RdNBR (calculated using GEE method) as the respective predictive variables. In the first column, the black line shows predicted response values (A, C, E, F, I, K, M, O). The blue polygon around the line shows 95% confidence around mean predicted values. The gray dots are the raw data points from the 299 sampled plots. The second column contains AUC values for each of the eight regression models across five thresholds of burn severity (which were created as dichotomization thresholds to produce ROC curves). Overall AUC values represent overall average across five thresholds (B, D, F, H, J, L, N)