Table 2.
Summary of stepwise linear regression analysis on density of both WNV mosquito vectors in response to bioclimatic, LULC and DEM variables
| WNV vector | Variable | Coefficient | p | R 2 | AICc |
|---|---|---|---|---|---|
| Cx. nigripalpus | Bio3 | -63.45* | 4 | 28.01 | 942.03 |
| Bio4 | -3.46* | 7 | 34.01 | 943.59 | |
| Bio11 | -159.59* | 6 | 30.52 | 944.51 | |
| Bio12 | -17.74* | 3 | 23.11 | 944.17 | |
| Bio13 | -2.13** | 8 | 38.47 | 941.49 | |
| Bio14 | 24.09* | 9 | 41.70 | 940.58a | |
| Hill shade | -222.06** | 2 | 19.39 | 945.12 | |
| Urban | -38.61* | 5 | 29.52 | 943.00 | |
| Cx. quinquefasciatus | Bio2 | -28.63** | 2 | 7.37 | 858.29 |
| LAI | -0.93** | 3 | 15.74 | 854.22a |
*P < 0.05; **P < 0.01
aBest predictor