Fig. 4
From: High frequency temperature variability reduces the risk of coral bleaching

Influence of each in situ covariate on bleaching. Using the covariates from the highest-ranked logit model, the probability of observing bleaching prevalence greater than the jth category is plotted against changes in each covariate from their respective mean values (where 0 corresponds to the mean value), while keeping all other covariates at their mean values. Bleaching prevalence categories are defined as 1: ≤10%; 2: 10−25%; 3: 25−50%; 4: >50% of reef area bleached. Highest-ranked model covariates include: (a) High-frequency temperature variability (DTR30), (b) Depth, (c) Heating Rate (ROTCSS), (d) Acute Thermal Stress (Acute1), (e) Thermal Trajectory (TT), and (f) Cumulative Thermal Stress (DHW30). Standard deviations for each covariate within our data set are also indicated