Table 3. The contribution of environmental variables to predict the occurrence of SFTS cases on the global range based on boosted regression trees model.
| Variable | Relative contribution | |
|---|---|---|
| Mean | Sd | |
| Elevation (m) | 17.32 | 2.29 |
| Predicted probability of H. longicornis presence | 11.77 | 2.12 |
| Annual mean temperature (°C) | 11.58 | 1.49 |
| Precipitation of warmest quarter (mm) | 8.12 | 2.02 |
| Water bodies (%) | 6.75 | 1.81 |
| Mammalian richness (1 species/km2) | 6.19 | 1.03 |
| Precipitation of coldest quarter (mm) | 5.57 | 1.63 |
| Mean diurnal range of temperature (°C) | 5.41 | 1.57 |
| Irrigated croplands (%) | 4.87 | 1.45 |
| Precipitation of driest month (mm) | 4.56 | 1.81 |
| Other forests (%) | 3.25 | 1.02 |
| Livestock density (1 head/km2) | 2.65 | 0.74 |
| Population density (1 person/km2) | 2.22 | 0.69 |
| Needleleaved forests (%) | 2.13 | 0.74 |
| Broadleaved forests (%) | 2.12 | 0.75 |
| Build-up land (%) | 1.95 | 0.57 |
| Rainfed croplands (%) | 1.92 | 0.50 |
| Grassland (%) | 1.62 | 0.46 |