Response of selected variables to log-transformed benthic and pelagic variables.

<p>All variables included in linear predictor are significant (*p<0.05, **p<0.01, ***p<0.001). R² represents the percentage of response variable variation that is explained by its relationship with one or more predictor variables, adjusted for the number of predictors in the model. AIC (Akaike information criterion) is a measure of the relative goodness of fit of the models, best models (lower values) were kept.