highly significantp = 0.001
Indeed, a one-way ANOVA test revealed that time was a highly significant driver of beta dispersion variance between samples ( p = 0.001) and a PERMANOVA test, corrected for repeated measures (which is necessary due to repeated sampling of the same samples over time), showed that time accounted for ~ 36% of beta dispersion variance within the data ( p < 0.001), while feeding strategy accounted for ~ 7% of the variance ( p = 0.327).