Table A2: Generalised Additive Models to explain variation in
nightly abundance of different taxa of Myotis bats captured at
Middle Earth cave in 2018. Each model used a negative binomial error
family (scale = 1) and a log-link function. Max k = 40, e.d.f. =
effective degrees of freedom.
- Bechstein’s bat. Overdispersion statistic = 1.907, deviance
explained = 15.9%. The prediction plot from this model is shown in
Figure 2(i).
- Daubenton’s bat. Overdispersion statistic = 1.922, deviance
explained = 26.9%. The prediction plot from this model is shown in
Figure 2(ii).
- Natterer’s bat. Overdispersion statistic = 1.673, deviance
explained = 45.9%. The prediction plot from this model is shown in
Figure 2(iii).
- Brandt’s / Whiskered bat. Overdispersion statistic = 1.642,
deviance explained = 25.5%. The prediction plot from this model is
shown in Figure 2(iv).