摘要
采用《药用植物全球产地生态适宜性信息系统》(Geographic Information System for Global Medicinal Plants,GMPGIS),对中药材三七进行全球产地生态适宜性分析,以道地产区、野生分布区及当前主产区的326个三七采样点的生态因子为依据,通过生态相似性分析获得三七在全球范围内的最大生态相似度区域。结果表明中国三七最适宜产区所占区域超过全球最适栽培区面积的70%;美国、巴西、葡萄牙等国家亦有少量最适栽培区域。三七主产国中国的最适栽培区主要为云南、广西等省区,该研究结果与近年三七主产区及种植新区发展相吻合;本文总结了三七栽培及野生抚育等资源再生模式和发展现状,从品质生态学角度归纳阐述了产地、光、热、水、土壤等因素对三七品质的影响。本研究为指导三七全球范围内生产基地合理布局、引种繁育等提供依据,为高品质三七的科学规范化生产奠定基础。
In this study, the Geographic Information System for Global Medicinal Plants (GMPGIS) was used to assess the global production and ecological adaptation of Panax notoginseng. Based on climate factors and soil types of P. notoginseng from 326 sampling sites, which cover both traditional and current major producing regions, as well as on the results of the ecological similarity computing analysis, we obtained the maximum ecological similarity areas for P. notoginseng worldwide. The results indicated that China was the most suitable ecological and cultivated area globally for P. notoginseng, accounting for more than 70% of the total cultivated area in the world. The United States, Brazil, Portugal, and other 22 countries also had a small amount of potential suitable producing area. China has eight potential suitable producing provinces,including Yunnan, Fujian, Guangxi, Guizhou, etc. The prediction is consistent with the new district of P. notoginseng reported in recent years, which verifies the accuracy of the prediction of GMPGIS. We conducted a literature analysis on resource regeneration and quality ecology on P. notoginseng, and summarized the cultivation, wild tending models, and effects of environmental factors on the quality of P. notoginseng. The results provide scientific basis for selection of P. notoginseng, as well as the introduction, cultivation, and production of P. notoginseng worldwide.
出处
《药学学报》
CAS
CSCD
北大核心
2016年第9期1483-1493,共11页
Acta Pharmaceutica Sinica
基金
国家自然科学基金重点项目(81130069)
关键词
三七
药用植物全球产地生态适宜性信息系统
资源再生
品质
生态
Panax notoginseng
Geographic Information System for Global Medicinal Plants
resourcerecycle
quality
ecology