Table 2. Best-fit generalized linear model representing variation in Native Ant counts.
We present results from the best-fit generalized linear mixed-effects model that examined the effect of RIFA suppression/treatment (i.e., prairies that were treated with insecticide and left untreated) and time on native ant count data collected from April–July 2015 at our study site in the Attwater Prairie Chicken National Wildlife Refuge (APCNWR). This top-ranked model specified a Type 2 Negative Binomial error distribution and random variation in intercepts among prairies. Native ant counts were significantly lower in treated areas.
| Variable | Estimate | SE | Z | P value |
|---|---|---|---|---|
| Intercept | 3.396 | 0.177 | 19.15 | <0.001 |
| TreatmentTRT | −1.552 | 0.254 | −6.11 | <0.001a |
Notes.
Estimate = slope parameter or β; SE, standard error of the estimate; Z, Wald Z-test statistic; P, probability value.