3. Results
The AUC value is 0.935 in the AHS model and 0.910 for C.imicola(see Figure S1). The contributions of the important environmental variables to the AHS model and C.imicola model are shown in Table 2, and Figure 2 presents the results of the jackknife test. In the AHS model, the horse distribution density was identified as the most important variable for model construction, followed by the mean temperature of wettest quarter and precipitation of coldest quarter. In the model for C.imicola , the mean temperature of coldest quarter contributed the most, and the precipitation of coldest quarter and global land cover characterization were strongly associated with theC.imicola prediction.
Figure S2 presents the predicted probability risk for AHS and the suitable habitat forC.imicola in Mainland China. Figure 3 shows the overlay of the AHS and C.imicolaprediction maps. Clearly, the southwest of Hainan and southeast of Fujian are high risk areas of AHS occurrence under the current conditions. Furthermore, the border sectors of Yunnan and Guangxi present relatively high risks.