Figure 1.
Gross descriptions of the four coral diseases present at Coconut Island Marine Reserve, Oahu, Hawaii.
a) Porites growth anomaly, b) Porites tissue loss, c) Porites trematodiasis, and d) Montipora white syndrome. Minimum and maximum prevalence values between transects are shown.
Table 1.
Predictor variables used in the analyses with their codes and units.
Figure 2.
Boosted regression tree (BRT) analyses relating prevalence of four coral diseases to environment.
Models are developed and validated using 10-fold cross-validation on 86–110 independent observations for each disease and 17 predictor variables. The 8 most influential predictors to the model are shown. Their relative importance is shown as a % in parentheses. The deciles of the distribution of the predictors are indicated by tick marks along the top of each plot. Predictor variable codes and units are as per Table 1.
Table 2.
Optimal settings and predictive performance of boosted regression tree (BRT) analyses relating prevalence of four coral diseases to environment.
Table 3.
Pairwise interactions between predictor variables used to relate prevalence of four coral diseases to environment.