Integrating MaxEnt with chemometrics to evaluate the impact of environmental variables on the coumarin content and the distribution of Angelica dahurica
IntroductionAngelica dahurica is a traditional medicinal plant known for its high content of bioactive coumarins. With climate change potentially affecting both species distribution and secondary metabolite accumulation, there is a pressing need to integrate ecological and chemical data to guide fut...
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Frontiers Media S.A.
2025-07-01
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| Series: | Frontiers in Plant Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2025.1600491/full |
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| author | Zhengkun Gan Jun Ma Xinyu Liu Jiaxin Luo Junke Li Lili Pu Guihua Jiang Guihua Jiang Yan Lian |
| author_facet | Zhengkun Gan Jun Ma Xinyu Liu Jiaxin Luo Junke Li Lili Pu Guihua Jiang Guihua Jiang Yan Lian |
| author_sort | Zhengkun Gan |
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| description | IntroductionAngelica dahurica is a traditional medicinal plant known for its high content of bioactive coumarins. With climate change potentially affecting both species distribution and secondary metabolite accumulation, there is a pressing need to integrate ecological and chemical data to guide future cultivation and resource utilization strategies.MethodsThis study combined the Maximum Entropy (MaxEnt) ecological modeling approach with chemometric analysis to (i) predict the suitable habitat distribution of A. dahurica under current and future climate scenarios and (ii) evaluate the correlation between environmental variables and coumarin accumulation.Results(1) The key environmental variables influencing the distribution of A. dahurica were identified as BIO_13 (precipitation of the wettest month), BIO_11 (mean temperature of the coldest quarter), and elevation (DEM). (2) Presently, the highly suitable regions for A. dahurica cultivation are mainly in Sichuan, Henan, and Hebei provinces. (3) Under future climate scenarios, the highly suitable habitats are expected to expand and shift geographically, especially toward Henan and Jiaozuo, with parts of Hubei, Shaanxi, and Shandong transitioning into highly suitable zones. (4) Chemometric analyses revealed that A. dahurica samples from highly suitable areas contained significantly higher total coumarin content than those from medium-suitability regions. (5) A strong correlation was observed between key environmental factors (especially BIO_11 and DEM) and the relative content of five major coumarin components.(6) Spatial mapping of chemical composition indicated distinct regional differences in coumarin distribution, suggesting the potential for geoherbalism-based classification.DiscussionThe integration of ecological modeling with chemical analysis provides a powerful framework for understanding the impact of environmental variables on both the distribution and chemical quality of A. dahurica. These findings offer valuable guidance for targeted cultivation and resource management under future climate change conditions. |
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| institution | Kabale University |
| issn | 1664-462X |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Plant Science |
| spelling | doaj-art-5a9e1baece0543bf99e6f884c652f6e82025-08-20T03:33:31ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2025-07-011610.3389/fpls.2025.16004911600491Integrating MaxEnt with chemometrics to evaluate the impact of environmental variables on the coumarin content and the distribution of Angelica dahuricaZhengkun Gan0Jun Ma1Xinyu Liu2Jiaxin Luo3Junke Li4Lili Pu5Guihua Jiang6Guihua Jiang7Yan Lian8State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaState Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaState Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaState Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaState Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaXinjiang Uyghur Autonomous Region Academy of Surveying and Mapping, Urumqi, Xinjiang, ChinaState Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaSchool of Ethnic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaState Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaIntroductionAngelica dahurica is a traditional medicinal plant known for its high content of bioactive coumarins. With climate change potentially affecting both species distribution and secondary metabolite accumulation, there is a pressing need to integrate ecological and chemical data to guide future cultivation and resource utilization strategies.MethodsThis study combined the Maximum Entropy (MaxEnt) ecological modeling approach with chemometric analysis to (i) predict the suitable habitat distribution of A. dahurica under current and future climate scenarios and (ii) evaluate the correlation between environmental variables and coumarin accumulation.Results(1) The key environmental variables influencing the distribution of A. dahurica were identified as BIO_13 (precipitation of the wettest month), BIO_11 (mean temperature of the coldest quarter), and elevation (DEM). (2) Presently, the highly suitable regions for A. dahurica cultivation are mainly in Sichuan, Henan, and Hebei provinces. (3) Under future climate scenarios, the highly suitable habitats are expected to expand and shift geographically, especially toward Henan and Jiaozuo, with parts of Hubei, Shaanxi, and Shandong transitioning into highly suitable zones. (4) Chemometric analyses revealed that A. dahurica samples from highly suitable areas contained significantly higher total coumarin content than those from medium-suitability regions. (5) A strong correlation was observed between key environmental factors (especially BIO_11 and DEM) and the relative content of five major coumarin components.(6) Spatial mapping of chemical composition indicated distinct regional differences in coumarin distribution, suggesting the potential for geoherbalism-based classification.DiscussionThe integration of ecological modeling with chemical analysis provides a powerful framework for understanding the impact of environmental variables on both the distribution and chemical quality of A. dahurica. These findings offer valuable guidance for targeted cultivation and resource management under future climate change conditions.https://www.frontiersin.org/articles/10.3389/fpls.2025.1600491/fullAngelica dahuricachemometricsMAXENT modelHPLCenvironmental variablescoumarin |
| spellingShingle | Zhengkun Gan Jun Ma Xinyu Liu Jiaxin Luo Junke Li Lili Pu Guihua Jiang Guihua Jiang Yan Lian Integrating MaxEnt with chemometrics to evaluate the impact of environmental variables on the coumarin content and the distribution of Angelica dahurica Frontiers in Plant Science Angelica dahurica chemometrics MAXENT model HPLC environmental variables coumarin |
| title | Integrating MaxEnt with chemometrics to evaluate the impact of environmental variables on the coumarin content and the distribution of Angelica dahurica |
| title_full | Integrating MaxEnt with chemometrics to evaluate the impact of environmental variables on the coumarin content and the distribution of Angelica dahurica |
| title_fullStr | Integrating MaxEnt with chemometrics to evaluate the impact of environmental variables on the coumarin content and the distribution of Angelica dahurica |
| title_full_unstemmed | Integrating MaxEnt with chemometrics to evaluate the impact of environmental variables on the coumarin content and the distribution of Angelica dahurica |
| title_short | Integrating MaxEnt with chemometrics to evaluate the impact of environmental variables on the coumarin content and the distribution of Angelica dahurica |
| title_sort | integrating maxent with chemometrics to evaluate the impact of environmental variables on the coumarin content and the distribution of angelica dahurica |
| topic | Angelica dahurica chemometrics MAXENT model HPLC environmental variables coumarin |
| url | https://www.frontiersin.org/articles/10.3389/fpls.2025.1600491/full |
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