| Abstrakt: |
Simple Summary: Aralia chinensis L. is an economic plant with high medicinal and food value, which is very popular in domestic and international markets. Global warming has an effect on the distribution of a large number of species; accordingly, it is necessary to study the effects on climate change on A. chinensis in order to protect and utilize A. chinensis resources much better. The maximum entropy model (MaxEnt) was used to predict the distribution of A. chinensis under the influence of climate change. It was found that A. chinensisis mainly distributed in the southern of China, east of the Hu Huanyong line under current and different future climate scenarios, and its distribution range might be expanded to the north and west in the future period; on the contrary, the middle part of its distribution range might be contracted. Precipitation had a great influence on the distribution, especially annual precipitation. It is recommended to protect A. chinensis resources in the central part of its distribution range in the future, and to collect A. chinensis resources in the region, and this work can help to customize relevant control strategies. Global climate change has a main impact on the distribution of plants. Aralia chinensis 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 A. chinensis distribution to achieve sustainable utilization. Based on 340 occurrence records of A. chinensis covering all known provinces and 58 environmental factor data, we used MaxEnt to simulate the potential distribution of A. chinensis under current and different future climate scenarios, analyzing the key environmental variables affecting its distribution. The results were as follows: (1) Suitable A. chinensis 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 A. chinensis. [ABSTRACT FROM AUTHOR] |
