Table 4.
Response variable | Explanatory variable | d.f. | AIC (H1) | AIC (H0) | P |
---|---|---|---|---|---|
Bark beetle richness | Month | 9 | 205.76 | 196.14 | 0.497 |
Rainfall | 1 | 198.58 | 197.87 | 0.254 | |
Moisture | 1 | 200.73 | 198.58 | 1.000 | |
Temperature | 1 | 199.41 | 200.73 | 0.068 | |
Bark beetle abundance | Month | 9 | 252.93 | 256.75 | 0.009 |
Rainfall | 1 | 256.88 | 256.75 | 0.172 | |
Moisture | 1 | 255.12 | 256.88 | 0.052 | |
Temperature | 1 | 253.92 | 255.12 | 0.073 | |
Ambrosia beetle richness | Month | 9 | 343.11 | 352.07 | 0.001 |
Rainfall | 1 | 352.82 | 352.07 | 0.264 | |
Moisture | 1 | 352.14 | 352.82 | 0.101 | |
Temperature | 1 | 354.13 | 352.14 | 0.931 | |
Ambrosia beetle abundance | Month | 9 | 778.19 | 1668.59 | <0.001 |
Rainfall | 1 | 746.58 | 750.41 | 0.015 | |
Moisture | 1 | 746.58 | 754.54 | 0.001 | |
Temperature | 1 | 746.58 | 752.97 | 0.003 |
Significance was estimated by ANOVA comparing complete (H1) and null models (H0). The Akaike’s information criterion (AIC) represents the uncertainty of the model whereby lower AIC values represent the more parsimonious models.