Table 2. Mixed-effect model results for relative change in volume.

	Estimate	MCMC mean	HPD95 lower	HPD95 upper	P MCMC
Intercept (12°C, 400 µatm)	0.5757	0.576	−0.5879	1.7408	0.2
CO2 (1200 µatm)	0.1912	0.1949	−1.5094	1.7968	0.7
Temperature (14°C)	1.0355	1.0313	0.4737	1.5856	0.002	**
Temperature (16°C)	1.0139	1.0099	0.4844	1.5724	<0.001	***
Temperature (18°C)	1.2814	1.2781	0.7158	1.8165	<0.001	***
Temperature (20°C)	1.9023	1.9014	1.3296	2.4392	<0.001	***
Temperature (24°C)	1.0539	1.0524	0.4946	1.5825	0.002	**
CO2 (1200)×Temp (14°C)	−0.9646	−0.9612	−1.7286	−0.1463	0.02	*
CO2 (1200)×Temp (16°C)	−0.6219	−0.6173	−1.3872	0.1611	0.1
CO2 (1200)×Temp (18°C)	−0.481	−0.4781	−1.2506	0.3101	0.2
CO2 (1200)×Temp (20°C)	−0.6692	−0.6665	−1.4841	0.0929	0.1
CO2 (1200)×Temp (24°C)	0.1424	0.1448	−0.652	0.8845	0.7

Output includes model estimates for fixed factors (Estimate) and the mean estimate across Markov chain Monte Carlo samples (MCMC mean), the upper and lower 95% highest posterior density intervals (HPD95 lower and HPD95 upper) and p-values based on the posterior distribution and Markov chain Monte Carlo sampling (p MCMC). Asterisks denote significance, with.

‘*’ = P<0.05,

‘**” = P<0.01, and

‘***” = P<0.001.