FIG 2.

Principal-component analysis (PCA) projections of scores for correlation of the most probable number (MPN) and environmental parameters (BOD, EC, pH, salinity, temperature, and turbidity) from tidal water (a) and mud (b) in different seasons. A projection score near 1.0 indicates that the variables are perfectly correlated, whereas a score near −1.0 indicates that the variables are perfectly inversely correlated. Variables with vectors projected in the same plane could be considered positively correlated. Closely correlated variables are grouped in black ovals, indicated by months and sampling sites (MA, Muan; MP, Mokpo; HN, Haenam; JH, Jangheung; and BS, Boseong).