Table 2. Community stability eigenvalues
Real and imaginary coordinates of community eigenvalues from modeled interaction (α) matrices from gjamTime (Clark et al. 2020) for each treatment (plot type). The number of eigenvalues from each matrix is equal to the number of members in a community, here 4 species groups (dominant, subdominant, moderate, and rare). Communities are considered stable if all real eigenvalues within that community are negative (Allesina & Tang 2012). The rightmost real eigenvalue shows the highest (least negative/ most positive) real eigenvalue within each treatment (i.e. community) whereby lower (more negative) rightmost real eigenvalues denote higher stability (Carpentier et al. 2021).