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.