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当归药材生产区划研究
引用本文:严辉,张小波,朱寿东,钱大玮,郭兰萍,黄璐琦,段金廒. 当归药材生产区划研究[J]. 中国中药杂志, 2016, 41(17): 3139-3147
作者姓名:严辉  张小波  朱寿东  钱大玮  郭兰萍  黄璐琦  段金廒
作者单位:南京中医药大学 江苏省中药资源产业化过程协同创新中心 中药资源产业化与方剂创新药物国家地方联合工程研究中心, 江苏 南京 210023,中国中医科学院 中药资源中心 道地药材国家重点实验室培育基地, 北京 100700,中国中医科学院 中药资源中心 道地药材国家重点实验室培育基地, 北京 100700,南京中医药大学 江苏省中药资源产业化过程协同创新中心 中药资源产业化与方剂创新药物国家地方联合工程研究中心, 江苏 南京 210023,中国中医科学院 中药资源中心 道地药材国家重点实验室培育基地, 北京 100700,中国中医科学院 中药资源中心 道地药材国家重点实验室培育基地, 北京 100700,南京中医药大学 江苏省中药资源产业化过程协同创新中心 中药资源产业化与方剂创新药物国家地方联合工程研究中心, 江苏 南京 210023
基金项目:国家自然科学基金项目(81202862);中央本级重大增减支项目(20603020201);江苏高校优势学科建设工程项目;江苏高校品牌专业建设工程项目(PPZY2015A070)
摘    要:通过走访和实地调查,收集当归在全国的栽培信息。以当归药材主产区43个采样点为分析基点,分析当归各类功效性成分,综合气候、地形等相关生态因子,利用GIS技术和最大信息熵模型分析当归适宜性分布。应用R语言构建当归有效成分与环境因子之间的关系模型,采用ArcGIS软件空间计算方法进行当归品质区划。研究结果显示影响当归适宜性分布的主要生态因子为海拔、土壤亚类、5月份降水量和最暖月最高温等4个生态因子,这与当归喜冷凉湿润气候,适宜于分布在土层深厚区域的生活习性相一致。此外,以当归功效性成分为指标的生态适宜性区划结果还提供了传统分布区以外的新适宜分布区,为开展当归合理引种栽培提供了科学依据。

关 键 词:当归  生产区划  最大信息熵模型  生态因子  生态适宜性  ArcGIS
收稿时间:2016-05-20

Production regionalization study of Chinese angelica based on MaxEnt model
YAN Hui,ZHANG Xiao-bo,ZHU Shou-dong,QIAN Da-wei,GUO Lan-ping,HUANG Lu-qi and DUAN Jin-ao. Production regionalization study of Chinese angelica based on MaxEnt model[J]. China Journal of Chinese Materia Medica, 2016, 41(17): 3139-3147
Authors:YAN Hui  ZHANG Xiao-bo  ZHU Shou-dong  QIAN Da-wei  GUO Lan-ping  HUANG Lu-qi  DUAN Jin-ao
Affiliation:National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, and Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing 210023, China,State Key Laboratory of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China,State Key Laboratory of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China,National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, and Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing 210023, China,State Key Laboratory of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China,State Key Laboratory of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China and National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, and Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing 210023, China
Abstract:The distribution information of Chinese angelica was collected by interview investigation and field survey, and 43 related environmental factors were collected, some kinds of functional chemical constituents of Angelica sinensis were analyzed. Integrated climate, topography and other related ecological factors, the habitat suitability study was conducted based on Arc geographic information system(ArcGIS),and maximum entropy model. Application of R language to establish the relationship between the effective component of Chinese angelica and enviromental factors model, using ArcGIS software space to carry out space calculation method for the quality regionalization of Chinese angelica. The results showed that 4 major ecological factors had obvious influence on ecology suitability distributions of Chinese angelica, including altitude, soil sub category, May precipitation and the warmest month of the highest temperature, et al. It is suitable for the living habits of the Chinese angelica, cold and humid climate, which is suitable for the deep area of the soil. In addition, the ecological suitability regionalization based on the effect of Chinese angelica also provides a new suitable distribution area other than the traditional distribution area, which provides a scientific basis for the reasonable introduction of Chinese angelica.
Keywords:Chinese angelica  production regionalization  maximum entropy model(MaxEnt model)  ecological factors  ecology suitability  ArcGIS
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