Prediction of the potentially suitable areas of Leonurus japonicus with the optimized MaxEnt model

Leonurus japonicus Houtt. is a traditional Chinese medicinal plant with high medicinal and edible value. Wild L. japonicus resources have been reduced dramatically in recent years. This study predicted the response of distribution range of L. japonicus to climate change in China, which provided the scientific basis for the conservation and utilization. In this study, 489 occurrence points of L. japonicus were selected based on GIS technology and spThin package. The default parameters of the Maxent model were adjusted by using ENMeva1 package of the R environment, and the optimized Maxent model was used to analyze the distribution of L. japonicus. When the feature combination in the model parameters is hing and the regularization multiplier is 1.5, the Maxent model has a higher degree of optimization. With the AUC of 0.830 our model showed a good predictive performance The results showed that L. japonicus was widely distributed in the current period. The maximum temperature of the warmes...益母草（Leonurus japonicus Houtt.）是一种兼具较高药用与食用价值的传统中草药。近年来，野生益母草资源已大幅缩减。本研究预测了中国境内益母草分布区对气候变化的响应，可为该物种的保护与利用提供科学依据。本研究基于地理信息系统（Geographic Information System, GIS）技术与spThin包，筛选得到489条益母草的物种分布记录点。通过R语言环境中的ENMeva1包调整最大熵（Maxent）模型的默认参数，并利用优化后的Maxent模型分析益母草的适宜分布范围。当模型参数中的特征组合为hing、正则化乘数为1.5时，Maxent模型的优化程度更高。本模型的受试者工作特征曲线下面积（Area Under Curve, AUC）达0.830，预测性能良好。结果表明，当前时期益母草分布范围较为广泛。最热月的最高气温……