Table 2. Importance and significance of the constrained axes with positive eigenvalues in the distance based redundancy analysis (dbRDA) model.

	Sum of squares	Pseudo F
Constrained Axis 1	3.49	15.14 ***
Constrained Axis 2	3.03	13.16 ***
Constrained Axis 3	1.8	7.80 ***
Constrained Axis 4	1.08	4.69 ***
Constrained Axis 5	0.67	2.92 ***
Constrained Axis 6	0.55	2.36 ***
Constrained Axis 7	0.46	2.01 ***
Constrained Axis 8	0.39	1.71 **
Constrained Axis 9	0.32	1.39 *
Constrained Axis 10	0.28	1.2 (ns)
Constrained Axis 11	0.24	1.05 (ns)
Constrained Axis 12	0.22	0.97 (ns)
Constrained Axis 13	0.18	0.77 (ns)
Residuals	41.97

Significance was assessed with a permutation test (1000 permutations) on the Pseudo-F. ns stands for non-significant,

“.” for P-value< = 0.1,

“*” for P< = 0.05,

“**” for P< = 0.01

“***” for P< = 0.001.