Table 5.
Generalized linear model testing the relationship between Mepraia spinolai abundance and the predictor variables.
Model | AIC | |||||
---|---|---|---|---|---|---|
MS/h = Intercept + TAP + TWT + VC + BC + RA + BA + NMA + DMA + OCA | 100.55 | |||||
MS/h = Intercept + TAP + TWT + VC + OCA + BA | 94.5 | |||||
Response | Variables | Estimates | SE | p | r² | p |
MS/h | 0.82 | <0.001 | ||||
Intercept | −40.259 | 12.295 | 0.007 | |||
TAP | −0.016 | 0.008 | 0.055 | |||
TWT | 2.331 | 0.686 | 0.005 | |||
VC | 27.409 | 4.144 | <0.001 | |||
OCA | 0.822 | 0.358 | 0.041 | |||
BA | −0.162 | 0.086 | 0.083 |
MS/h: total number of M. spinolai per hour; TAP: total annual precipitation; TWT: mean temperature of the warmest trimester; VC: vegetation cover; BC: cover of bromeliads; RA: mean records of reptiles per month; BA: mean records of birds per month; NMA: mean records of native mammals per month; DMA: mean records of domestic mammals per month; OCA: mean records of Oryctolagus cuniculus per month. The complete model is shown in the top. The selected model with the lowest AIC value is shown in the bottom. Statistically significant p-values in bold.