Table 7. Summary of characters, and for which Principal Component Axis they are most important, i.e., how large absolute values for measures are expressed on selected axes. "Low" indicates a negative loading coefficient, plotting low on the PCA axis, and "high" the opposite. Characters are ordered by their relative importance (absolute value of loading coefficients,
Table 4) to among genera variation and are illustrated in
Figure 2.