Pelagic species richness and relative abundance were modelled as a function of seafloor characteristics (derived from high-resolution
multibeam maps) in each sampling area using generalised additive mixed models (GAMMs). Uncertainty was accounted for and
propagated via bootstrapping (n = 100) of the original data. For further details, see Bouchet, P.J., Letessier, T.B., Caley,
M.J., Nichol, S.L., Hemmi, J.M., Meeuwig, J. (2020). Submerged carbonate banks aggregate pelagic megafauna in offshore tropical
Australia. Front. Mar. Sci. doi: 10.3389/fmars.2020.00530
Prediction data are supplied in GeoTiff format, and represent median predicted values of species richness and relative abundance
across 100 bootstrap iterations, along with associated uncertainty (calculated as a robust coefficient of variation).