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).