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基于优化的Biomod2和MaxEnt模型预测气候变化下中国奥利弗潜在适宜区

Prediction of the potentially suitable areas of Oliver in China under climate change based on optimized Biomod2 and MaxEnt models.

作者信息

Cao Guoqiong, Yuan Xiaofeng, Shu Qilin, Gao Yayang, Wu Taosheng, Xiao Chenghong, Xu Jian, Zhang Yongping

机构信息

National Engineering Technology Research Center for Miao Medicine, Guizhou Engineering Technology Research Center for Processing and Preparation of Traditional Chinese Medicine and Ethnic Medicine, College of Pharmaceutical Sciences, Guizhou University of Traditional Chinese Medicine, Guiyang, China.

Resource Institute for Chinese & Ethnic Materia Medica, Guizhou University of Traditional Chinese Medicine, Guiyang, China.

出版信息

Front Plant Sci. 2024 Nov 15;15:1359271. doi: 10.3389/fpls.2024.1359271. eCollection 2024.

DOI:10.3389/fpls.2024.1359271
PMID:39619845
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11604462/
Abstract

Oliver is a medicinal plant of significant economic importance. Its cortex has been employed for centuries to alleviate various conditions such as lumbar pain, knee pain, and osteoporosis. Additionally, possesses substantial industrial value. With the growing demand for this medicinal herb, ensuring its sustainable supply has become imperative. Climate change has caused habitat restrictions or migration of medicinal plants. Therefore, predicting the impact of climate change on the distribution of is crucial for its conservation and sustainable use. This study evaluated the potential distribution of across China under various climate change scenarios since the last interglacial period by modeling suitable areas based on 257 distribution records and 19 major environmental factors related to . The model selection process initially identified the MaxEnt model as the most suitable. The optimized MaxEnt model, with RM = 2.0 and FC = LQHPT settings, generated the most precise predictions. Results indicate that the minimum temperature of the coldest month, annual mean temperature, and annual precipitation significantly affect the distribution of . Under current environmental conditions, highly suitable areas for are found in Southwest and Southeast China, with a total suitable habitat area of 23.12 × 10 km. However, the range of suitable habitat has shifted due to global warming's negative impact. Under different climate scenarios, suitable areas for have either increased or decreased, with expansions primarily in high-latitude regions. Future climate scenarios predict shifts in the centroid of suitable habitat towards Yichang City in Hubei Province. The findings of this study support the development, artificial cultivation, and conservation of resources.

摘要

奥利弗是一种具有重要经济价值的药用植物。其树皮已被使用了几个世纪,用于缓解各种病症,如腰痛、膝盖疼痛和骨质疏松症。此外,它还具有重大的工业价值。随着对这种药草需求的不断增长,确保其可持续供应变得至关重要。气候变化导致药用植物的栖息地受到限制或迁移。因此,预测气候变化对奥利弗分布的影响对于其保护和可持续利用至关重要。本研究通过基于257条分布记录和与奥利弗相关的19个主要环境因素对适宜区域进行建模,评估了自上一个间冰期以来奥利弗在中国不同气候变化情景下的潜在分布。模型选择过程最初确定MaxEnt模型为最合适的模型。优化后的MaxEnt模型,设置RM = 2.0和FC = LQHPT,产生了最精确的预测。结果表明,最冷月的最低温度、年平均温度和年降水量对奥利弗的分布有显著影响。在当前环境条件下,中国西南和东南部发现了奥利弗的高度适宜区域,适宜栖息地总面积为23.12×10平方公里。然而,由于全球变暖的负面影响,适宜栖息地的范围已经发生了变化。在不同的气候情景下,奥利弗的适宜区域有所增加或减少,主要在高纬度地区有所扩张。未来气候情景预测适宜奥利弗栖息地的质心将向湖北省宜昌市转移。本研究的结果支持奥利弗资源的开发、人工种植和保护。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6bca/11604462/81e5defefe14/fpls-15-1359271-g011.jpg
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