Skip to main content
. 2020 Feb 10;8:e8480. doi: 10.7717/peerj.8480

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.

a

Estimate, slope parameter or β; SE, standard error of the estimate; Z, Wald Z-test statistic; P, probability value.