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黄芩在中国适生地分析及其数值区划研究
引用本文:陈士林,魏淑秋,兰进,陈向东,李先恩,刘峻明,魏建和,王晓光.黄芩在中国适生地分析及其数值区划研究[J].医学教育探索,2007(2):254-257.
作者姓名:陈士林  魏淑秋  兰进  陈向东  李先恩  刘峻明  魏建和  王晓光
作者单位:中国医学科学院中国协和医科大学药用植物研究所,深圳中药药学与分子药理学重点实验室 广东深圳518057,中国农业大学资源与环境学院,北京世农绿方高新技术发展中心,北京100094,中国医学科学院中国协和医科大学药用植物研究所,中国医学科学院中国协和医科大学药用植物研究所,中国医学科学院中国协和医科大学药用植物研究所,中国农业大学资源与环境学院,中国医学科学院中国协和医科大学药用植物研究所,中国医学科学院中国协和医科大学药用植物研究所,北京100094,北京100094,北京100094,北京100094,北京100094,北京100094,北京100094,北京100094
摘    要:目的研究黄芩在中国适生地区域,为黄芩生产提供科学依据。方法应用“生物适生地分析系统”,对黄芩生长发育过程进行各种生物气候分布滑移过程的相似计算、测序与分析。结果在我国种植黄芩的不同适宜程度区域共有736个点,其中最适宜区为268个点。结论采用生物适生地分析系统,结合黄芩道地产区承德的资源,可以较好地对黄芩的适宜区进行数值分级区划。

关 键 词:黄芩  生物适生地分析系统  适生地  数值区划

Analysis on adaptive area of Scutellaria baicalensis in China and it's numerical division
CHEN Shi-lin,WEI Shu-qiu,LAN Jin,CHEN Xiang-dong,LI Xian-en,LIU Jun-ming,WEI Jian-he,WANG Xiao-guang.Analysis on adaptive area of Scutellaria baicalensis in China and it's numerical division[J].Researches in Medical Education,2007(2):254-257.
Authors:CHEN Shi-lin  WEI Shu-qiu  LAN Jin  CHEN Xiang-dong  LI Xian-en  LIU Jun-ming  WEI Jian-he  WANG Xiao-guang
Institution:1. Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100094, China; 2. College of Resources and Environments, China Agricultural University, Beijing 100094, China; 3. Shenzhen Key Laboratory of Pharmaceutics and Molecular Pharmacology for Chinese Materia Medica, Shenzhen 518057, China; 4. Beijing Shinong Lüfang Center of Advance and New Technology Development, Beijing 100094, China
Abstract:Objective To analyzes the adaptive area and regionalization of Scutellaria baicalensis in China, in order to provide a scientific basis for the production of S. baicalensis. Methods With the Analytical System of Adaptive Region for Living Being's Growth (RALG), the similar calculation, measure sequencing, and analysis of variety bio-climate distributing slide process of the growth and development of S. baicalensis were carried out. Results It showed that there were 736 sites of different adaptive areas and regionalizations of S. baicalensis among all the counties in China, among which 268 areas were the most adaptive areas. Conclusion The RALG combined with the data of the cultivation of S. baicalensis in Chengde can be used for the numerical division of the adaptive area and regionalization of S. baicalensis.
Keywords:Scutellaria baicalensis Georgi  RALG  adaptive area  numerical division  
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