Table 1.

Performance of models in simulating SOC dynamics with replenishment and priming

Model	Number of parameters	Slope	R 2	P	DIC	Likelihood of model
Conventional	12	0.98	0.99	<0.01	50.92	<0.01
Interactive	6	1.00	0.99	<0.01	16.66	1.00
Michaelis–Menten	8	0.80	0.82	<0.01	30.58	<0.01
Reverse Michaelis–Menten	7	0.96	0.97	<0.01	18.47	0.41

Number of parameters, slope, R², and P values for the linear regression in Fig. 4, deviance information criterion (DIC), and likelihood of the models given the data for the within-sample evaluation are shown