3.1 Species Distribution Model and Its Accuracy
Utilizing 232 geographic distribution data points and 36 environmental
variables, we employed the MaxEnt model to simulate and predict
potentially suitable areas for T. sinense . Optimization using the
Emavel data package revealed that when the feature combination (FC) was
set to LP and the regularization multiplier (RM) to 0.9, an AICc value
of 0 indicated optimal predictive performance. Hence, FC = LP and RM =
0.9 were chosen as the final parameter settings (Table 2).