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预测不同气候变化情景下中国野生蔬菜(L.)的潜在分布。

Predicting the Potential Distribution of L. (Wild Vegetable) in China Under Different Climate Change Scenarios.

作者信息

Liu Longjiang, Liang Shanshan, Xie Chengshi, Liu Jie, Zheng Yaqiang, Xue Juan

机构信息

College of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang 550025, China.

出版信息

Biology (Basel). 2024 Nov 16;13(11):937. doi: 10.3390/biology13110937.

Abstract

Global climate change has a main impact on the distribution of plants. 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 distribution to achieve sustainable utilization. Based on 340 occurrence records of covering all known provinces and 58 environmental factor data, we used MaxEnt to simulate the potential distribution of under current and different future climate scenarios, analyzing the key environmental variables affecting its distribution. The results were as follows: (1) Suitable 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 .

摘要

全球气候变化对植物分布有主要影响。L.具有经济价值,因此有必要预测气候变化对其分布的影响。研究气候变化对分布的影响对于实现可持续利用很重要。基于涵盖所有已知省份的340条L.的分布记录和58个环境因子数据,我们使用最大熵模型(MaxEnt)来模拟L.在当前和不同未来气候情景下的潜在分布,分析影响其分布的关键环境变量。结果如下:(1)当前和不同未来气候情景下的适宜L.栖息地主要分布在中国南方地区,胡焕庸线以东。(2)年降水量、最冷月最低温度、最干月降水量和坡度是影响其潜在分布的关键环境变量,年降水量更为重要。(3)预计在不同未来气候情景下适宜栖息地面积会增加,并向西和向北扩展,而在中部地区如湖北和湖南则会缩小。研究结果为L.的保护和栽培提供了理论参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2caa/11591624/056bc9086be5/biology-13-00937-g001.jpg

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