Table 2

Linear mixed effects model selection of Ae. aegypti development rate from hatch to pupation
Fixed factor Random factor AIC Δ AIC BIC Δ BIC
T, Ph, D, Dt, EV Author, Lat -36.74 436.16 -15.53 443.07
T, Ph, D, Dt, EV Lat -35.65 437.25 -16.79 441.81
T, Ph, D, Dt, EV Author -118.3 354.6 -96.28 362.32
T, Ph, D, Dt Author -124.9 348 -105.6 353
T, Ph, Dt, EV Author -127.4 345.5 -108.2 350.4
T, Ph, D, EV Author -196.5 276.4 -175.2 283.4
T, D, Dt, EV Author -215.4 257.5 -193.9 264.7
Ph, D, Dt, EV Author 39.35 512.25 58.62 517.22
T, D, Dt Author -222.8 250.1 -204.5 254.1
T, Dt, EV Author -224 248.9 -205.6 253
T, D, EV Author -395.2 77.7 -374.5 84.1
D, Dt, EV Author 1.712 474.612 20.09 478.69
T, D Author -403.5 69.4 -386.2 72.4
T, EV Author -466.8 6.1 -448.9 9.7
D, EV Author -96.4 376.5 -79.1 379.5
EV Author -131.6 341.3 -117.3 341.3
T Author -472.9 0 -458.6 0

Fixed factors considered were temperature (T), photoperiod (Ph), density in larvae/mL (D), diet in mg/larva/day (Dt), and environmental variability (EV). Environmental variability represents constant versus variable temperatures. Random factors included study author (Author) and latitude of origin for the Ae. aegypti study strain. AIC and BIC stand for Akaike and Bayes Information Criterion respectively. ∆ represents the difference with respect to the minimum value. The best model with minimum values for each selection criterion is bolded. The AIC and BIC have negative values because the models had positive log-likelihoods, which occur because the probability densities evaluated at the observations are below 1, which produces a negative logarithm. ∆AIC and ∆BIC show differences with respect to the model that minimized each information criterion.

Couret and Benedict

Couret and Benedict BMC Ecology 2014 14:3   doi:10.1186/1472-6785-14-3

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