Zoning of Integrated Quality Regions for <i>Alpinia officinarum</i> Hance Based on a Multi-Model Evaluation System.

ABSTRACT: Understanding the spatiotemporal dynamics of medicinal plant distributions and their quality responses under climate change is essential for formulating forward-looking conservation and utilization strategies. In response to the increasing depletion of wild resources of Alpinia officinarum Hance, one of the 'Ten Major Guangdong Medicinal Materials', this study developed an integrated modeling platform incorporating nine algorithms. These included generalized linear models, machine learning techniques, and a MaxEnt model optimized using ENMeval (Regularization Multiplier (RM) = 3, Feature Class (FC) = LQH). The platform was applied to simulate habitat suitability evolution under current climatic conditions (1970-2000) and for two future periods (2050s: 2041-2060; 2090s: 2081-2100) ac

SUBMITTER: Jiang H 

PROVIDER: S-EPMC12937820 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature