. 2020 May 22;128(5):057007. doi: 10.1289/EHP5899

Table 2.

Relative contribution (%) of the ecological factors contributing toward predicting the distribution of Aedes aegypti and Ae. albopictus mosquito vectors in Canada and the United States for the time period 2006–2016, using projected climatic data from four regional climatic data models (RCP4.5) and a single boosted regression trees model run.

Species	Covariates	Regional climatic models
Species	Covariates	CanRCM4-CanESM2 [RC (%)]^a	CRCM5-CanESM2 [RC (%)]^a	CRCM5-MPI-ESM-LR [RC (%)]^a	HIRHAM5-EC-EARTH [RC (%)]^a
Aedes aegypti	Mean temperature	8.21	51.92	20.13	30.56
	Mean minimum temperature	3.49	2.77	8.61	36.84
	Mean maximum temperature	6.41	17.16	15.45	4.48
	Mean January temperature	43.48	11.90	13.03	0.00
	Number of days $\geq 10 ° C$	24.10	9.01	19.46	17.36
	Number of days $\geq 20 ° C$	2.56	1.63	13.69	2.11
	Mean precipitation	4.45	1.58	3.75	3.60
	Urban land cover	7.34	4.03	5.87	5.04
Aedes albopictus	Mean temperature	5.88	3.92	16.33	9.83
	Mean minimum temperature	38.54	41.57	40.02	11.04
	Mean maximum temperature	—	—	—	—
	Mean January temperature	3.41	4.14	5.33	0.00
	Number of days $\geq 10 ° C$	34.00	33.73	19.23	52.03
	Number of days $\geq 20 ° C$	4.18	3.55	5.38	4.77
	Mean precipitation	7.47	9.11	8.67	14.36
	Urban land cover	6.52	3.99	5.05	7.97

Note: The covariates that contributed $\geq 10 %$ to the model were considered most influential. —, indicates covariate dropout during model simplification process; RC, relative contribution.

^{^a}

The RC values are rounded to two decimal digits.