Early warning of West Nile virus mosquito vector: climate and land use models successfully explain phenology and abundance of Culex pipiens mosquitoes in north-western Italy

Table 3 Predicting mosquito abundance (TOTAL)

Model	Variable	Weight	Coeff.	Std. error	z-value	Pr(>\|z\|)
Early	Intercept		1.27	8.4e-03	152.83	< 0.001
	DAY_PREC_1–12	1	2.8e-02	3.2e-03	8.75	< 0.001
	DIST_RICE	0.13	-7.8e-05	1.6e-05	4.78	< 0.001
Early + Late	Intercept		6.96	0.53	12.97	< 0.001
	LST_21–32	1	-0.15	0.021	7.24	< 0.001
	DAY_PREC_1–12	1	1.7e-02	3.1e-03	5.04	< 0.001
	NDWI _22–33	0.6	-0.886	1.150	0.77	0.441

The average weight and significance of variables remaining in the two best 'Early predictors only' and two best 'Early + Late predictors' models. Note that terms in italics are significant in some of the selected best models but not in others, and that overall, weighted model averaging procedures suggest that they are not significant.