Table 3. Best-fit generalized linear model representing variation in Non-Ant Invertebrate 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 non-ant invertebrate 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. Non-ant invertebrate counts showed a significant decrease over time.
Variable | Estimate | SE | Z | P value |
---|---|---|---|---|
Intercept | 2.664 | 0.114 | 23.33 | <0.001 |
Week | −0.034 | 0.013 | −2.57 | 0.01a |
Notes.
Estimate, slope parameter or β; SE, standard error of the estimate; Z, Wald Z-test statistic; P, probability value.