ArticleFrontiers in plant science2026
Prediction of suitable distribution areas for Alismatis Rhizoma based on the MaxEnt model and study on quality-environment correlation.
Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Environmental Shaping Suitable Habitats and Quality ofPlants (Basel, Switzerland) · 2026Article
- Evaluation of ecological suitability and quality of wildFrontiers in plant science · 2026Article
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6 authors.
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Abstract
Background: Climate change profoundly impacts the suitable habitats of medicinal plants, and environmental factors in their production areas further determine their quality. Alismatis Rhizoma (AR) is a commonly used Chinese herbal medicine in clinical practice, derived from the dried rhizomes of Purpose: Clearly define the suitable distribution areas for the two source species of AR, reveal the relationship between the cultivation environment and the quality of the mainstream cultivar Methods: We employed for the first time a MaxEnt model optimized using the Kuenm package to systematically predict the suitable habitat distribution and its shifts for the two source species of AR under current and future climate scenarios. utilizing high-performance liquid chromatography, we conducted correlation analyses between 43 environmental factors and 15 medicinal quality indicators for the primary cultivated variety ( Results: Precipitation, altitude, and temperature are the key environmental factors influencing both the potential distribution and quality of AR. Currently, highly suitable habitats are mainly located in southern and eastern China ( Conclusions: The study has clarified the suitable habitats for the two source species of AR and the environment-quality coupling relationships of its mainstream cultivars. The integrated ecological-cultivation-quality control strategy developed provides critical guidance for advancing the ecological agriculture and enhancing the quality of AR.
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