Trait-Environment Relationships and Tiered Forward Model Selection in Linear Mixed Models

Table 3

Results of the multitrait and multienvironment analysis using tiered forward model selection in mixed models. The following treatments c: canopy, w: water logging, and cw: interaction c × w were always in the model as a fixed effect and random effects.

	Year 1	Year 2	Year 3	All
(Intercept)	−2.66	−2.24	−1.67	−2.20
c	−3.28	−1.97	−1.27	−2.17
w	0.45^NS	−0.06^NS	0.28^NS	0.22
cw	−0.78	−1.02	−0.45^NS	−0.75
SW		0.58	0.34	0.11
c : SW				0.86
w : SW		−0.59	−1.24	−0.72
WGR			−0.11^NS	−0.12
w : WGR			0.88	0.46
H7	0.83	0.56	0.63	0.77
c : H7	−1.53	−1.49	−1.16	−1.47
w : H7	−0.75	−0.90
cw : H7	0.60	0.63
LWR7		−0.51	0.08^NS	−0.28
w : LWR7		0.66	1.09	0.67
AGR	0.67			0.47
c : AGR	−1.26			−1.38
SLA			−0.45	−0.13
w : SLA			−0.44	−0.29
HEM			0.36
BE0		−0.26^NS	0.38	0.08
w : BE0			0.87	0.56
c : BE0		0.99

NS is for nonsignificant.