Yue JiaQi, Li ZhiMin, Zuo ZhiTian, Wang YuanZhong
Medicinal Plants Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, China.
Front Plant Sci. 2022 Apr 28;13:818376. doi: 10.3389/fpls.2022.818376. eCollection 2022.
is an important medicinal plant in China, but there are some limitations in the ecological suitability study, such as incomplete investigation of species distribution, single regionalization modeling, and lack of collaborative evaluation of ecological suitability, and quality suitability. In this study, the maximum entropy model was used to analyze the ecological suitability of under current and future climates. The multi-source chemical information of samples was collected to evaluate the uniformity between quality and ecology. The results showed that the current suitable habitat was mainly in southwest China. In the future climate scenarios, the high suitable habitat will be severely degraded. Modeling based on different regionalization could predict larger suitable habitat areas. The samples in the high suitable habitat had both quality suitability and ecological suitability, and the accumulation of chemical components had different responses to different environmental factors. Two-dimensional correlation spectroscopy combined with deep learning could achieve rapid identification of samples from different suitable habitats. In conclusion, global warming is not conducive to the distribution and spread of . The high suitable habitat was conducive to the cultivation of high-quality medicinal materials. Actual regionalization modeling had more guiding significance for the selection of suitable habitats in a small area. The multi-regionalization modeling theory proposed in this study could provide a new perspective for the ecological suitability study of similar medicinal plants. The results provided a reference for the introduction and cultivation, and lay the foundation for the scientific and standardized production of high-quality .
是中国一种重要的药用植物，但在生态适宜性研究方面存在一些局限性，如物种分布调查不完整、区域化建模单一、缺乏生态适宜性与质量适宜性的协同评价等。本研究利用最大熵模型分析了当前和未来气候条件下的生态适宜性。收集样本的多源化学信息以评估质量与生态之间的一致性。结果表明，当前适宜生境主要在中国西南部。在未来气候情景下，高适宜生境将严重退化。基于不同区域化的建模可以预测更大的适宜生境面积。高适宜生境中的样本同时具有质量适宜性和生态适宜性，化学成分的积累对不同环境因子有不同响应。二维相关光谱结合深度学习能够实现对来自不同适宜生境样本的快速识别。总之，全球变暖不利于的分布与扩散。高适宜生境有利于优质药材的种植。实际区域化建模对小区域适宜生境的选择具有更强的指导意义。本研究提出的多区域化建模理论可为类似药用植物的生态适宜性研究提供新视角。研究结果为引种栽培提供了参考，为优质的科学规范生产奠定了基础。
