TABLE 1.

Summary of significant explanatory parameters used in the distance-based redundancy analysis (dbRDA) model.

Explanatory variable	AIC	Pseudo-F	p
DO	159.73	8.77	0.001
Conductivity	156.75	4.92	0.002
Turbidity	157.26	4.92	0.002
TDP	154.76	4.56	0.002
pH	153.98	4.42	0.005
NO3–	152.98	3.56	0.004
Temperature	150.95	3.07	0.008

The model explained 48% of the total variation (p = 0.001). The significance of the environmental variables was tested by 999 Monte Carlo permutations and were selected by forward selection (Adjusted R² = 0.34). AIC, Akaike information criterion.