Predicting the Potential Distribution of <i>Aralia chinensis</i> L. (Wild Vegetable) in China Under Different Climate Change Scenarios
Global climate change has a main impact on the distribution of plants. <i>Aralia chinensis</i> L. is economically valuable, making it necessary to predict the impact of climate change on its distribution. It is important for researching the effects of climate change on <i>A. chinen...
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MDPI AG
2024-11-01
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| author | Longjiang Liu Shanshan Liang Chengshi Xie Jie Liu Yaqiang Zheng Juan Xue |
| author_facet | Longjiang Liu Shanshan Liang Chengshi Xie Jie Liu Yaqiang Zheng Juan Xue |
| author_sort | Longjiang Liu |
| collection | DOAJ |
| description | Global climate change has a main impact on the distribution of plants. <i>Aralia chinensis</i> L. is economically valuable, making it necessary to predict the impact of climate change on its distribution. It is important for researching the effects of climate change on <i>A. chinensis</i> distribution to achieve sustainable utilization. Based on 340 occurrence records of <i>A. chinensis</i> covering all known provinces and 58 environmental factor data, we used MaxEnt to simulate the potential distribution of <i>A. chinensis</i> under current and different future climate scenarios, analyzing the key environmental variables affecting its distribution. The results were as follows: (1) Suitable <i>A. chinensis</i> habitats under current and different future climate scenarios were mainly distributed in the southern region of China, east of the Hu Huanyong line. (2) Annual precipitation, minimum temperature during the coldest month, precipitation during the driest month, and slope were the key environmental variables affecting its potential distribution, and annual precipitation was more important. (3) Suitable habitat areas were projected to increase under different future climate scenarios and expand westward and northward while shrinking in the central regions, such as Hubei and Hunan. The results provide a theoretical reference for the conservation and cultivation of <i>A. chinensis</i>. |
| format | Article |
| id | doaj-art-bc45e0a802874da5bbbeeafe5405839c |
| institution | OA Journals |
| issn | 2079-7737 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
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| series | Biology |
| spelling | doaj-art-bc45e0a802874da5bbbeeafe5405839c2025-08-20T02:28:07ZengMDPI AGBiology2079-77372024-11-01131193710.3390/biology13110937Predicting the Potential Distribution of <i>Aralia chinensis</i> L. (Wild Vegetable) in China Under Different Climate Change ScenariosLongjiang Liu0Shanshan Liang1Chengshi Xie2Jie Liu3Yaqiang Zheng4Juan Xue5College of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang 550025, ChinaCollege of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang 550025, ChinaCollege of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang 550025, ChinaCollege of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang 550025, ChinaCollege of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang 550025, ChinaCollege of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang 550025, ChinaGlobal climate change has a main impact on the distribution of plants. <i>Aralia chinensis</i> L. is economically valuable, making it necessary to predict the impact of climate change on its distribution. It is important for researching the effects of climate change on <i>A. chinensis</i> distribution to achieve sustainable utilization. Based on 340 occurrence records of <i>A. chinensis</i> covering all known provinces and 58 environmental factor data, we used MaxEnt to simulate the potential distribution of <i>A. chinensis</i> under current and different future climate scenarios, analyzing the key environmental variables affecting its distribution. The results were as follows: (1) Suitable <i>A. chinensis</i> habitats under current and different future climate scenarios were mainly distributed in the southern region of China, east of the Hu Huanyong line. (2) Annual precipitation, minimum temperature during the coldest month, precipitation during the driest month, and slope were the key environmental variables affecting its potential distribution, and annual precipitation was more important. (3) Suitable habitat areas were projected to increase under different future climate scenarios and expand westward and northward while shrinking in the central regions, such as Hubei and Hunan. The results provide a theoretical reference for the conservation and cultivation of <i>A. chinensis</i>.https://www.mdpi.com/2079-7737/13/11/937<i>Aralia chinensis</i> L.MaxEntpotential distributionsuitable habitats |
| spellingShingle | Longjiang Liu Shanshan Liang Chengshi Xie Jie Liu Yaqiang Zheng Juan Xue Predicting the Potential Distribution of <i>Aralia chinensis</i> L. (Wild Vegetable) in China Under Different Climate Change Scenarios Biology <i>Aralia chinensis</i> L. MaxEnt potential distribution suitable habitats |
| title | Predicting the Potential Distribution of <i>Aralia chinensis</i> L. (Wild Vegetable) in China Under Different Climate Change Scenarios |
| title_full | Predicting the Potential Distribution of <i>Aralia chinensis</i> L. (Wild Vegetable) in China Under Different Climate Change Scenarios |
| title_fullStr | Predicting the Potential Distribution of <i>Aralia chinensis</i> L. (Wild Vegetable) in China Under Different Climate Change Scenarios |
| title_full_unstemmed | Predicting the Potential Distribution of <i>Aralia chinensis</i> L. (Wild Vegetable) in China Under Different Climate Change Scenarios |
| title_short | Predicting the Potential Distribution of <i>Aralia chinensis</i> L. (Wild Vegetable) in China Under Different Climate Change Scenarios |
| title_sort | predicting the potential distribution of i aralia chinensis i l wild vegetable in china under different climate change scenarios |
| topic | <i>Aralia chinensis</i> L. MaxEnt potential distribution suitable habitats |
| url | https://www.mdpi.com/2079-7737/13/11/937 |
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