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.
  1. Bechstein’s bat. Overdispersion statistic = 1.907, deviance explained = 15.9%. The prediction plot from this model is shown in Figure 2(i).
  2. Daubenton’s bat. Overdispersion statistic = 1.922, deviance explained = 26.9%. The prediction plot from this model is shown in Figure 2(ii).
  3. Natterer’s bat. Overdispersion statistic = 1.673, deviance explained = 45.9%. The prediction plot from this model is shown in Figure 2(iii).
  4. Brandt’s / Whiskered bat. Overdispersion statistic = 1.642, deviance explained = 25.5%. The prediction plot from this model is shown in Figure 2(iv).