Predicting the potential distribution and climatic response of the endangered medicinal and edible species, Anoectochilus roxburghii, using an optimized MaxEnt model.

ABSTRACT: Assessing how the habitat suitability and distribution of endangered species may alter under future climate scenarios is essential for robust conservation strategies. Anoectochilus roxburghii, an endangered and medicinally important orchid, faces significant threats from climate change due to its specific habitat requirements. This study predicts its potential distribution dynamics from the Last Glacial Maximum to the 2070s to inform conservation. We employed an optimized Maximum Entropy (MaxEnt) model, using species occurrence records and environmental variables to project its suitable habitats under past, current, and future (SSP126 and SSP585 scenarios) climates. The model performed excellently (AUC = 0.965), identifying the Mean Temperature of the Coldest Quarter (bio11) and Annual Pre

SUBMITTER: Hou Y 

PROVIDER: S-EPMC12635229 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature