Table 2.

The M matrix of eigenvectors from the canonical analysis of γ. (The linear (θ_i) and quadratic (λ_i) gradients of selection operating along each eigenvector are provided in the last two columns. The quadratic selection gradient (λ_i) of each eigenvector (m_i) is equivalent to the eigenvalue. Significant values were determined by randomization tests. *p < 0.05, **p < 0.01, ***p < 0.001.)

	M										selection
	PC1	PC2	PC3	PC4	PC5	PC6	PC7	PC8	PC9	PC10	θi	λi
m1	0.552	−0.041	−0.055	−0.139	0.296	−0.488	−0.271	−0.050	−0.509	0.101	−0.077	0.343***
m2	0.142	0.549	0.070	−0.654	−0.093	0.226	0.133	−0.391	−0.044	−0.115	−0.290***	0.225***
m3	−0.054	0.496	−0.674	0.388	0.110	−0.206	−0.024	−0.255	0.160	−0.036	−0.261***	0.122
m4	0.145	0.198	0.296	0.386	0.206	0.058	0.726	−0.070	−0.266	0.233	0.067	0.082
m5	−0.177	0.305	−0.045	−0.179	−0.267	−0.162	−0.062	0.379	−0.014	0.772	0.012	0.071
m6	−0.159	0.499	0.239	0.065	0.148	−0.107	−0.116	0.600	−0.159	−0.482	−0.153*	0.044
m7	0.502	0.098	0.015	0.006	0.453	0.375	−0.138	0.260	0.521	0.184	0.020	−0.051
m8	−0.154	−0.137	−0.516	−0.146	0.228	0.545	0.076	0.238	−0.508	0.028	0.158*	−0.126*
m9	0.107	−0.200	−0.321	−0.376	0.014	−0.389	0.582	0.325	0.273	−0.187	0.177**	−0.145*
m10	−0.554	−0.049	0.147	−0.232	0.706	−0.198	−0.024	−0.203	0.113	0.150	0.043	−0.309***