Ji Bao-Yu, Liu Miao, Pei Li-Xin, Yang Lin-Lin
School of Pharmacy, Henan University of Chinese Medicine Zhengzhou 450046, China School of Pharmaceutical Science and Technology, Tianjin University Tianjin 300072, China.
Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences Beijing 100700, China.
Zhongguo Zhong Yao Za Zhi. 2021 Sep;46(17):4389-4394. doi: 10.19540/j.cnki.cjcmm.20210625.101.
This paper explored the ecologically suitable areas for growing Scutellaria baicalensis using Geographic Information System for Global Medicinal Plants(GMPGIS), to figure out the resource distribution of S. baicalensis worldwide and provide a scientific basis for its scientific introduction. A total of 349 S. baicalensis sampling sites were selected all over the world for GMPGIS-based analy-sis of the ecologically suitable areas with six ecological factors including annual average temperature, average temperature during the coldest season, average temperature during the warmest season, average annual precipitation, average annual relative humidity, and annual average illumination and soil type as the ecological indexes. The results demonstrated that the ecologically suitable areas for growing S. baicalensis were mostly located in the Northern hemisphere, and the suitable areas in the United States, China, and Russia accounted for 19.25%, 18.66%, and 13.15% of the total area worldwide, respectively. In China, the Inner Mongolia, Heilongjiang province, and Yunnan province occupied the largest proportions of the total area, namely 14.28%, 8.72%, and 6.18%, respectively. As revealed by ecological factors of each sampling site, S. baicalensis was resistant to low temperature but not to high temperature. The adaptive range of average annual precipitation is narrower than that of average annual air humidity. The suitable soils were mainly inceptisol, alfisol, and fluvisol. High temperature and rainy climate or excessively high soil bulk density was not conducive to the growth of S. baicalensis. The adoption of GMPGIS enabled to obtain areas with the greatest ecological similarity for S. baicalensis, which were reliable data supporting the exploration of resource distribution and reasonable introduction of S. baicalensis.
本文利用全球药用植物地理信息系统（GMPGIS）探索黄芩的生态适宜种植区，以明确黄芩在全球的资源分布情况，并为其科学引种提供科学依据。在全球范围内共选取了349个黄芩采样点，以年平均温度、最冷月平均温度、最热月平均温度、年平均降水量、年平均相对湿度、年平均光照和土壤类型这六个生态因子作为生态指标，基于GMPGIS对生态适宜区进行分析。结果表明，黄芩的生态适宜种植区大多位于北半球，其中美国、中国和俄罗斯的适宜种植区分别占全球总面积的19.25%、18.66%和13.15%。在中国，内蒙古、黑龙江省和云南省占总面积的比例最大，分别为14.28%、8.72%和6.18%。从各采样点的生态因子来看，黄芩耐寒但不耐高温。年平均降水量的适应范围比年平均空气湿度的适应范围窄。适宜的土壤主要是始成土、淋溶土和潮土。高温多雨的气候或过高的土壤容重不利于黄芩生长。采用GMPGIS能够获取与黄芩生态相似度最高的区域，这些数据为黄芩资源分布探索和合理引种提供了可靠支撑。
