. 2018 Mar 1;8:3831. doi: 10.1038/s41598-018-22190-3

Table 2.

Summary of the regression models between R_TOT (g m⁻²) and bioturbators population metabolic power (I_TOT. mW m⁻²) for different functional groups (FunGroup) of bioturbators: deep (A. marina) intermediate (IBBs) and shallow (C. edule). Steps of explanatory variables selection (interactive effect of the categorical variable. cumulative effect of the categorical variable. excluding the categorical variable) are shown including their AIC values. The selected model (excluding the categorical variable) is marked in bold.

	Response
	R_TOT ~ FunGroup * I_TOT			R_TOT ~ FunGroup + I_TOT			R_TOT ~ I_TOT
	Est.	95% CI	p	Est.	95% CI	p	Est.	95% CI	p
c	28.28	16.09–40.46	<0.001	31.01	20.61–41.42	<0.001	35.11	28.51–41.71	<0.001
IBBs	7.10	−12.23–26.43	0.457	7.80	−5.65–21.24	0.245
C. edule	8.56	−8.36–25.48	0.308	3.07	−9.68–15.83	0.625
I_TOT	0.42	0.27–0.57	<0.001	0.37	0.28–0.47	<0.001	0.36	0.27–0.45	<0.001
IBBs:I_TOT	0.11	−0.45–0.68	0.688
C. edule:I_TOT	−0.10	−0.30–0.10	0.312
Observations	32			32			32
R²/adj. R²	0.714/0.658			0.698/0.665			0.682/0.672
F-statistics	12.954***			21.530***			64.427***
AIC	270.397			268.133			265.712