ORIGINAL RESEARCH article
Front. Plant Sci.
Sec. Functional Plant Ecology
Volume 16 - 2025 | doi: 10.3389/fpls.2025.1600491
Integrate MaxEnt with chemometrics to evaluate the impact of environmental variables on the distribution of Angelica dahurica and coumarin content
Provisionally accepted
- 1School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
- 2Xinjiang Academy of Surveying And Mapping, Xingjiang, China
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Angelica dahurica is a valuable medicinal plant, rich in medicinal coumarins. This study first integrates MaxEnt with chemometrics to analyze Angelica dahurica's suitable habitat distribution under climate change and its relationship with coumarin accumulation. The results indicate that: (1) BIO_13 (Precipitation of wettest month), BIO_11 (Mean temperature of coldest quarter), and DEM (Elevation) are key variables influencing the distribution of A. dahurica; (2) Under current climate scenarios, the highly suitable growth areas of A. dahurica are primarily located in Sichuan, Henan, and Hebei; (3) Under future climate scenarios, the area of highly suitable growth regions is projected to gradually expand, with a trend of migration from the central region towards Henan and Jiaozuo. Parts of northern Hubei, central and southern Shaanxi, and Shandong may change from medium and slightly suitable growth areas to highly suitable growth areas; (4) The total coumarin content of A. dahurica is higher in highly suitable habitat compared to medium suitable habitat, and this distinction in chemical composition suggests that A. dahurica from different habitats can be classified based on its chemical profile; (5) A significant correlation exists between the five chemical components found in A. dahurica and environmental variables (particularly BIO_11 and DEM); (6) By generating spatial distribution maps of the relative content of coumarin compounds in A. dahurica, it has been observed that different components exhibit varying content performances across different habitats. This study provides important references for understanding the chemical composition of A. dahurica and for selecting suitable cultivation areas.
Keywords: Angelica dahurica, chemometrics, MAXENT model, HPLC, Environmental Variables, Coumarin, Multiple stepwise regression
Received: 26 Mar 2025; Accepted: 12 Jun 2025.
Copyright: © 2025 Gan, Ma, Liu, Luo, Li, Pu, Jiang and Lian. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Zhengkun Gan, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
Lili Pu, Xinjiang Academy of Surveying And Mapping, Xingjiang, China
Guihua Jiang, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
Yan Lian, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
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