Table 2.
Repeated-measures linear mixed model testing for changes in community composition, measured by the CA scores along two CA axes, with Age (time since container deployment) and Season (time of year). The estimated autocorrelation coefficient between consecutive samples of the same container was 0.24, and to account for heteroscedasticity, the residual variances were weighted by exp(c*CAscores) where c was estimated in the fitting procedure as 0.67. Results are presented for type III sums of squares. Significant effects are in bold print.
| Model Parameter | Df | χ 2 | p |
|---|---|---|---|
| CAfactor | 1 | 62.4418 | <0.0001 |
| Age | 1 | 68.7061 | <0.0001 |
| Age2 | 1 | 41.0203 | <0.0001 |
| Age × CAfactor | 1 | 2.4803 | 0.1842 |
| Age2 × CAfactor | 1 | 3.8652 | 0.0493 |
| Season | 1 | 50.5383 | <0.0001 |
| Season × CAfactor | 1 | 123.5169 | <0.0001 |