Predicting the distribution of potentially suitable habitat in China for Fisch. ex DC. under future climate scenarios based on the R-optimized MaxEnt model.

contains a variety of medicinal components with good clinical efficacy. With the rapid changes in global climate, it is increasingly important to study the distribution of species habitats and the factors influencing their adaptability. Utilizing the MaxEnt model, we forecasted the present and future distribution regions of suitable habitats for under various climate scenarios.

The ecological suitability area of (Thunb.) Sch.-Bip. under future climate change in China based on MaxEnt modeling.

Many kinds of medicinal ingredients occur in that have good clinical efficacy, conferring on this species its high medicinal development value. However, with a rapidly changing global climate, it is increasingly imperative to study the factors affecting the habitat distribution and survival of species. We predicted the current and future distribution areas of suitable habitats for , analyzed the importance of environmental variables in influencing habitat shifts, and described the alterations to suitable habitats of in different periods (modern, 2050s, and 2070s) and scenarios (RCP2.