Maxent model-based prediction of the potential distribution of Fritillaria taipaiensis P. Y. Li
Abstract Fritillaria taipaiensis P. Y. Li has received much research attention because of its high medicinal value and edibility. Analysis of the areas of suitable habitat for F. taipaiensis can aid the conservation of its germplasm resources. We used the Maxent model to predict areas with suitable...
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Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-01682-z |
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| author | Yuhan Wang Xueyang Ren Kai Wang Wei Lin Panpan Wang Zhenyu Liu Hua Zhang Nong Zhou |
| author_facet | Yuhan Wang Xueyang Ren Kai Wang Wei Lin Panpan Wang Zhenyu Liu Hua Zhang Nong Zhou |
| author_sort | Yuhan Wang |
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| description | Abstract Fritillaria taipaiensis P. Y. Li has received much research attention because of its high medicinal value and edibility. Analysis of the areas of suitable habitat for F. taipaiensis can aid the conservation of its germplasm resources. We used the Maxent model to predict areas with suitable habitat under current and future climate scenarios; we also determined the primary climatic factors affecting the distribution of F. taipaiensis. Currently, suitable habitats for F. taipaiensis are concentrated in the western and central regions of China. The area of suitable habitat in this region will decrease in the future; some patches of suitable habitat will decrease in size and migrate to higher latitudes. Pivotal environmental factors that affect the distribution of F. taipaiensis is temperature. Northeastern Chongqing, southern Shaanxi, western Hubei, and northwestern Yunnan were the suitable areas for F. taipaiensis, which was basically consistent with the predicted areas in the Maxent model. The findings in the study are important for the conservation and use of F. taipaiensis specifically and Fritillaria plants more generally. |
| format | Article |
| id | doaj-art-4452cfe9c6944697a6de0d2cf680fa7a |
| institution | DOAJ |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
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| spelling | doaj-art-4452cfe9c6944697a6de0d2cf680fa7a2025-08-20T03:03:42ZengNature PortfolioScientific Reports2045-23222025-07-0115111810.1038/s41598-025-01682-zMaxent model-based prediction of the potential distribution of Fritillaria taipaiensis P. Y. LiYuhan Wang0Xueyang Ren1Kai Wang2Wei Lin3Panpan Wang4Zhenyu Liu5Hua Zhang6Nong Zhou7College of Biology and Food Engineering, Chongqing Three Gorges UniversityCollege of Biology and Food Engineering, Chongqing Three Gorges UniversitySchool of Pharmacy, Chengdu University of Traditional Chinese MedicineCollege of Biology and Food Engineering, Chongqing Three Gorges UniversityCollege of Environmental and Chemical Engineering, Chongqing Three Gorges UniversityCollege of Biology and Food Engineering, Chongqing Three Gorges UniversityCollege of Biology and Food Engineering, Chongqing Three Gorges UniversityCollege of Biology and Food Engineering, Chongqing Three Gorges UniversityAbstract Fritillaria taipaiensis P. Y. Li has received much research attention because of its high medicinal value and edibility. Analysis of the areas of suitable habitat for F. taipaiensis can aid the conservation of its germplasm resources. We used the Maxent model to predict areas with suitable habitat under current and future climate scenarios; we also determined the primary climatic factors affecting the distribution of F. taipaiensis. Currently, suitable habitats for F. taipaiensis are concentrated in the western and central regions of China. The area of suitable habitat in this region will decrease in the future; some patches of suitable habitat will decrease in size and migrate to higher latitudes. Pivotal environmental factors that affect the distribution of F. taipaiensis is temperature. Northeastern Chongqing, southern Shaanxi, western Hubei, and northwestern Yunnan were the suitable areas for F. taipaiensis, which was basically consistent with the predicted areas in the Maxent model. The findings in the study are important for the conservation and use of F. taipaiensis specifically and Fritillaria plants more generally.https://doi.org/10.1038/s41598-025-01682-zFritillaria taipaiensis P. Y. LiMaxent modelClimate changePrediction of suitable areaEnvironmental factor |
| spellingShingle | Yuhan Wang Xueyang Ren Kai Wang Wei Lin Panpan Wang Zhenyu Liu Hua Zhang Nong Zhou Maxent model-based prediction of the potential distribution of Fritillaria taipaiensis P. Y. Li Scientific Reports Fritillaria taipaiensis P. Y. Li Maxent model Climate change Prediction of suitable area Environmental factor |
| title | Maxent model-based prediction of the potential distribution of Fritillaria taipaiensis P. Y. Li |
| title_full | Maxent model-based prediction of the potential distribution of Fritillaria taipaiensis P. Y. Li |
| title_fullStr | Maxent model-based prediction of the potential distribution of Fritillaria taipaiensis P. Y. Li |
| title_full_unstemmed | Maxent model-based prediction of the potential distribution of Fritillaria taipaiensis P. Y. Li |
| title_short | Maxent model-based prediction of the potential distribution of Fritillaria taipaiensis P. Y. Li |
| title_sort | maxent model based prediction of the potential distribution of fritillaria taipaiensis p y li |
| topic | Fritillaria taipaiensis P. Y. Li Maxent model Climate change Prediction of suitable area Environmental factor |
| url | https://doi.org/10.1038/s41598-025-01682-z |
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