Table 1.
Principal components analysis (PCA) results of the climatic variables (http://www.worldclim.org ) used to generate distribution models for Solanum pseudoamericanum. Variables with Pearson correlation coefficients equal or greater than 0.75 were removed.
| PC1 | PC2 | |
|---|---|---|
| Cumulative variation explained | 47% | 70% |
| BIOCLIM VARIABLES USED | Eigenvectors | |
| Mean Diurnal Range (BIO2) | 0.085 | -0.117 |
| Isothermality (BIO3) | -0.095 | -0.001 |
| Temperature Seasonality (BIO4) | 0.044 | 0.175 |
| Max Temperature of Warmest Month (BIO5) | -0.277 | 0.121 |
| Min Temperature of Coldest Month (BIO6) | -0.304 | 0.160 |
| Temperature Annual Range (BIO7) | 0.097 | -0.094 |
| Mean Temperature of Driest Quarter (BIO9) | -0.300 | 0.148 |
| Precipitation Seasonality (BIO15) | 0.070 | 0.346 |
| Precipitation of Wettest Quarter (BIO16) | -0.224 | -0.254 |
| Precipitation of Driest Quarter (BIO17) | -0.235 | -0.278 |
| Precipitation of Warmest Quarter (BIO18) | -0.109 | -0.253 |