前胡和紫花前胡在中国的潜在分布区预测

采用最大熵(MaxEnt)生态位模型,结合前胡和紫花前胡大量已有的地理分布数据,基于20个环境变量对其在中国的潜在分布区进行了预测.结果表明:最冷季度平均温度,最冷月最低温和最干季度平均温度为前胡分布限制性因子.而对紫花前胡影响最大的环境因子为最干月降水量,最冷季度平均温度和昼夜温差月均值.预测结果显示,前胡和紫花前胡的潜在分布区比现实分布区更广泛,其中中国秦岭地区、浙江省、湖南省等部分山区为其最佳适生区(适生指数0.71).在台湾、甘肃和西藏等地区分布的差异能为在地域上分辨两者提供理论依据.随着野生资源减少和中药材前胡和紫花前胡需求量的增加,在该地区进行栽培是增加产量,保护野生资源多样性的可行途径.

Prediction of Potential Distributions of Peucedanum praeruptorum and Angelica decursiva in China

The dry roots of Angelica decursiva and Peucedanum praeruptorum are used as Chinese traditional medicine for a long time. This study applied MaxEnt (Maximun Entropy) ecological niche modeling to predict the potential range of Qianhu and Zihuaqianhu in China on the basis of occurrence points. The results indicated that: environmental factors such as Mean temperature of the coldest quarter, Monthly mean diurnal temperature range, Min temperature of the coldest month, Precipitation of the driest month, and Precipitation of the driest quarter are greatly influenced the size of Qianhu''s and Zihuaqianhu''s potential range. Potential distribution areas of two plants are more widely than the realistic distribution areas. Some mountain areas of Qinling Mountains, Nanling and Zhejiang province are the most suitable area (adaptive index >0.71). The difference of distribution in Taiwan, Gansu, Xizang province can provide the basis for the discrimination. With the wild resource reducing and demands increasing, cultivation of plant in the most suitable area is feasible way to increase output of production and protection of wild resources diversity of Chinese medicinal materials.