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. 2016 Jun 7;16(1):48. doi: 10.1093/jisesa/iew027

Table 4.

Results of linear mixed effects model, showing the temporal variation and effects of the rainfall, moisture, and temperature on bark and ambrosia beetle richness and abundance

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.