Table 3.
Summary of multiple-site analysis
| VC (s.e.) | Probability (identity vs. absent) | Probability (diagonal vs. identity) | |
|---|---|---|---|
| (a) Random model | |||
| σf2 (s.e.) | <0·001 | 0·008 | |
| Bodalla | 19·88 (16·10) | ||
| Clunes | 1·09 (2·00) | ||
| Heathcote | 21·43 (12·21) | ||
| Heyfield | 13·65 (8·54) | ||
| Lorne | 10·76 (9·69) | ||
| Martin's Ck | 46·25 (22·41) | ||
| Mt Bealiba | 0·76 (1·89) | ||
| Mt Nowa Nowa | 8·27 (5·59) | ||
| σfs2 | 1·000 | 0·981 | |
| σplot2 (s.e.) | 6·73 (2·22) | 0·465 | |
| σe2 (s.e.) | <0·001 | ||
| Culcairn | 64·18 (4·87) | ||
| Huntly | 108·18 (7·80) | ||
| Lake Tyers | 31·07 (2·66) | ||
| (b) Fixed model | |||
| Wald statistic | d.f. | χ2 prob | |
| Site | 855·17 | 2 | <0·001 |
| site.replicate | 21·76 | 9 | 0·010 |
| population | 111·95 | 7 | <0·001 |
| site. population | 75·93 | 14 | <0·001 |
Variance components (VC) and tests of fixed effects are given. Likelihood ratio tests were used to test whether variance components should be included (identity vs. absent) and whether each term was best modelled as a single variance component or a separate variance for each level of an appropriate factor (i.e. with a covariance structure based on an identity matrix or a diagonal one). Standard errors are shown in parentheses after each estimate. The interaction between family and site was not significant. Residual variances also varied among sites.