Table 6.

Comparison of linear and negative binomial regression analysis of larval abundance and significant principal components for data points stratified by locality^*

Site	PC	Species	Lin. regression		Neg. binomial
			Coefficient	AIC	Coefficient	AIC
B	2	An. goeldii	−0.56†	20.99	−1.10‡	12.93
C	2	An. janconnae	0.66†	27.66	0.71‡	24.61
	5	An. goeldii	−0.76†	24.36	−1.17†	21.89
E	2	An. janconnae	−2.47†	40.72	−0.64§	36.4
	5	An. janconnae	2.46	43.92	0.77†	39.29
G	5	An. goeldii	0.40§	−17.1	19.37	7.45
H	2	An. janconnae	−0.09‡	−14.3	−15.74	6.78
I	3	An. goeldii	−0.14	38.26	0.39‡	33.32
J	1	An. oryzalimnetes	0.28‡	−12.3	78.88	7.17
	2	An. oryzalimnetes	0.18‡	−14.2	−33.53	7.17
K	1	An. triannulatus	0.52	20.75	0.45†	19.95
	1	An. goeldii	0.18†	6.22	20.22	8
	1	An. oryzalimnetes	0.69	25.69	0.70‡	19.65
L	1	An. marajoara	2.18	58.21	0.34‡	86.41
	2	An. marajoara	−5.44	56.25	−0.89§	75.51
	3	An. goeldii	0.20†	6.30	39.24	8
	3	An. marajoara	−2.57	57.49	−0.44§	81.57
	4	An. triannulatus	0.72‡	23.47	0.79‡	22.6
	4	An. oryzalimnetes	0.73	30.90	0.64†	27.85
	4	An. marajoara	2	58.05	0.86†	50.78
M	2	An. oryzalimnetes	−0.24†	−0.47	−2.65	9.37

^*See Figure 1 for localities.

^†P ≤ 0.05.

^‡P ≤ 0.01.

^§P ≤ 0.001. Akaike information criterion (AIC), a measure of the relative goodness of fit of a statistical model, is included, with the preferred model (bold) having the minimum AIC value. PC = principal component.