Figure 1: Overview of work protocol and dataflow.

Three types of original data were input into the analyses: (1) biogeography hypotheses, (2) geography and climate data and (3) species locality data. These data were used to predict the distributions of species, and the distribution models were used to calculate biodiversity patterns (species richness, corrected weighted endemism and turnover). We then tested for the correlation of these biodiversity patterns with spatial predictions derived from biogeography hypotheses, and used a mixed model to simultaneously test the influences of these hypotheses on the biodiversity patterns. *The response variables constituted standardized PCs of the raw biogeography hypotheses. ** The CAR models were iterated until only response variables that contributed significantly to the model were included. Then, the remaining variables were backward eliminated, starting with variables with smallest βs, until the AICc of the reduced model exceeded the more complex model.