Table 1.
(a) Partitioning of variation between regional, site-level and within-population components. Partitioning was carried out for PCA data using MINQUE, and for genetic data using AMOVA methods. (b) Partitioning of variation within each region. BI, British Isles.
| (a) data set | between regions (%) | between sites (%) | within populations (%) | |||
|---|---|---|---|---|---|---|
| temperature | 68.34 | 24.50 | 7.16 | |||
| genetics | 50.2 | 35.1 | 14.7 | |||
| metabolomics | 30.47 | 6.64 | 62.89 | |||
| (b) | temperature | genetic variation | metabolic profile | |||
| total variance | among-site component (%) | Hs | FST | total variance | among-site component (%) | |
| core | ||||||
| Iceland | 56.88 | 91.6 | 0.198 | 0.084 | 11.71 | 6.6 |
| Norway | 68.45 | 79.8 | 0.204 | 0.086 | 13.83 | 12.5 |
| Sweden | 12.36 | 42.7 | 0.224 | 0.118 | 10.03 | 5.5 |
| margin | ||||||
| BI | 30.85 | 84.0 | 0.201 | 0.243 | 12.71 | 8.9 |