Table 3.
Coefficients for Model 2, which assessed the impact of habitat, nest depth and number of unique badgers trapped at the closest sett on the proportion of artificial nests dug up
| Model 2 | Estimate | SE | 95% CI | z value | p value | logLik | AICc | Marginal R2 | Conditional R2 |
|---|---|---|---|---|---|---|---|---|---|
| Intercept (Habitat [Grassland], nest depth [Control]) | −3.090 | 0.590 | 1.156 | −5.241 | <.001 | −58.189 | 134.240 | 0.291 | 0.334 |
| Habitat (Woodland) | 1.546 | 0.313 | 0.613 | 4.944 | .011 | ||||
| Nest depth (Surface) | 1.372 | 0.451 | 0.884 | 3.045 | <.01 | ||||
| Nest depth (Underground) | 1.140 | 0.455 | 0.892 | 2.507 | .012 | ||||
| Scale (Number of badgers) | −0.541 | 0.261 | 0.512 | −2.074 | .038 | ||||
| Scale (Number of badgers)^2 | −0.394 | 0.322 | 0.631 | −1.222 | .222 |
Model formula: glmer(cbind(success, failure) ~ Habitat + Nest depth + scale (number of badgers) + I(scale (number of badgers)^2) + (1|Sett), family = Binomial.
Table includes AICc and R2 values. This model was built using data from seven setts at Woodchester Park more often than control pot only. A quadratic term was included in the model to account for the nonlinearity of the “number of badgers” variable.