Feature tuning improves MAXENT predictions of the potential distribution of Pedicularis longiflora Rudolph and its variant.

ABSTRACT: Pedicularis longiflora Rudolph and its variant (P. longiflora var. tubiformis (Klotzsch) Tsoong) are alpine plants and traditional Chinese medicines with important medicinal value, and future climate changes may have an adverse impact on their geographic distribution. The maximum entropy (MAXENT) model has the outstanding ability to predict the potential distribution region of species under climate change. Therefore, given the importance of the parameter settings of feature classes (FCs) and the regularization multiplier (RM) of the MAXENT model and the importance of add indicators to evaluate model performance, we used ENMeval to improve the MAXENT niche model and conducted an in-depth study on the potential distributions of these two alpine medicinal plants. We adjus

SUBMITTER: Bao R 

PROVIDER: S-EPMC9074863 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature