Fig. 3: Environmental drivers of community structure.
a Example relationship between mean nitracline depth (m) and the frequency of observed community clusters (“Nearshore” in blue or “Offshore” in red) per station for cyanobacteria. Lines represent a generalized linear model with a binomial fit. Shading represents a 95% confidence interval around the model fit (b), relative importance of all explanatory variables (mean and coefficient of variation) used to predict the frequency of SOM clusters at a given station. As in the example (a), relationships were assessed via a generalized linear model with a binomial fit. Larger circles represent lower AIC values within a column; in other words, variables with larger circles are likely to be more important drivers than variables with smaller circles. Relationships that are not significant (p > 0.05) are colored in gray. Circles and their associated AIC values should not be compared across columns, only within columns, as AIC values are specific to each response variable. Relationships were analyzed between the frequency of observed community clusters and the mean and coefficient of variation (Coeff. Var.) of environmental variables. Environmental variables included: temperature (Temp), salinity, NO3, PO4, SiO4, chlorophyll a (Chl-a), and nitracline depth (NCD).
