Table 1.
Main characteristics of the principal component analysis calibrated on the climatic space of the North American and Western European backgrounds
| Total inertia (%) | Axis 1 42.3 | Axis 2 71.7 | ||
|---|---|---|---|---|
| Eigenvalues (%) | Correlation | Eigenvalues (%) | Correlation | |
| PDQ | 25.4 | 0.87 | 8.6 | −0.42 |
| PCQ | 21.6 | 0.80 | 0.3 | −0.07 |
| TS | 18.5 | −0.74 | 16.4 | −0.58 |
| MTCM | 14.9 | 0.66 | 25.7 | 0.73 |
| PS | 12.7 | −0.61 | 7.6 | 0.40 |
| PWQ | 6.7 | 0.44 | 8.3 | −0.41 |
| MTWM | 0.2 | −0.07 | 33.1 | 0.82 |
Total cumulated inertia (%) of the two first axes is presented, and then eigenvalues of the climatic variables are indicated per axis. PDQ, precipitation of the driest quarter; PCQ, precipitation of the coldest quarter; TS, temperature seasonality; MTCM, mean temperature of the coldest month; PS, precipitation seasonality; PWQ, precipitation of the warmest quarter; MTWM, mean temperature of the warmest month. Bold characters indicate the main contributors to each axis component. All correlations were highly significant (P < 10−5).