Best models describing bee, butterfly and hoverfly species richness and abundance by variables on railway embankments.

For each model the number of predictors (k), variance explained by the model (r2), the Akaike information criterion score (AICc), the difference between the given model and the most parsimonious model (Δ) and Akaike weight (w) are listed. Explanations of variable codes: bare ground cover – ground, grassland cover – grass, human settlement cover – set, species richness of native flowering plants – na, species richness of non-native flowering plants – nna, length of railway lines – rail, angle of slopes – aslop, length of slopes – lslop, shrub cover – shrub, vegetation height – height, water reservoir cover – wa, woodland cover – wood. (↑) – positive, significant relationship; (↓) – negative, significant relationship.