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我国滇重楼种植的气候适宜性研究
引用本文:石子为,康利平,彭华胜,杨少华,张丽霞,景志贤,陈敏,刘大会. 我国滇重楼种植的气候适宜性研究[J]. 中国中药杂志, 2017, 42(18): 3435-3442
作者姓名:石子为  康利平  彭华胜  杨少华  张丽霞  景志贤  陈敏  刘大会
作者单位:湖北中医药大学 药学院, 湖北 武汉 430065;云南农业大学 资源环境学院, 云南 昆明 650201,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,安徽中医药大学 药学院, 安徽 合肥 230012,云南省农业科学院 高山经济植物研究所, 云南 丽江 674100,中国医学科学院 药用植物研究所 云南分所, 云南 景洪 666100,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,湖北中医药大学 药学院, 湖北 武汉 430065
基金项目:国家"重大新药创制"科技重大专项(2014ZX09301306-001);中央本级重大增减支项目(2060302)
摘    要:该文在对云南、四川、贵州3省175个滇重楼种植区进行实地调查的基础上,根据"中药资源空间信息网格数据库"提供的1950—2000年1 km×1 km空间分辨率的气候资料,基于全国区域和年尺度选取影响我国滇重楼分布的潜在气候因子,利用最大信息熵模型(MaxEnt)和ArcGIS空间分析技术,研究了影响我国滇重楼潜在种植分布的主导气候因子及其气候适宜性。结果表明,影响我国滇重楼潜在种植分布的主导气候因子是8月平均降雨量、最干季平均温、等温性、10月平均降雨量、季节降水量变异系数和7月平均温,累积贡献率达到了97.2%。利用所建模型给出的滇重楼在待预测地区的存在概率,将我国滇重楼潜在种植分布区划分成气候不适宜区、次适宜区、较适宜区和最适宜区,并给出了各气候适宜区的气候特征。研究结果可为优化我国滇重楼生产布局及引种提供参考。

关 键 词:滇重楼  气候适宜性  区划  主导气候因子  最大信息熵模型(MaxEnt)
收稿时间:2016-12-26

Climate suitability for potential Pairs polyphylla var. yunnanensis cultivation in China
SHI Zi-wei,KANG Li-ping,PENG Hua-sheng,YANG Shao-hu,ZHANG Li-xi,JING Zhi-xian,CHEN Min and LIU Da-hui. Climate suitability for potential Pairs polyphylla var. yunnanensis cultivation in China[J]. China Journal of Chinese Materia Medica, 2017, 42(18): 3435-3442
Authors:SHI Zi-wei  KANG Li-ping  PENG Hua-sheng  YANG Shao-hu  ZHANG Li-xi  JING Zhi-xian  CHEN Min  LIU Da-hui
Affiliation:Pharmacy Faculty, Hubei University of Chinese Medicine, Wuhan 430065, China;College of Resources and Environment, Yunnan Agricultural University, Kunming 650201, China,State Key Laboratory of Dao-di Herbs Breeding Base, National Resource Center for Chinese Materia Medica China Academy of Chinese Material Science, Beijing 100700, China,Pharmacy Faculty, Anhui University of Chinese Medicine, Hefei 230012, China,Institute of Alpine Economic Plant, Yunnan Academy of Agricultural Sciences, Lijiang 674100, China,Yunnan Branch of Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Jinghong 666100, China,State Key Laboratory of Dao-di Herbs Breeding Base, National Resource Center for Chinese Materia Medica China Academy of Chinese Material Science, Beijing 100700, China,State Key Laboratory of Dao-di Herbs Breeding Base, National Resource Center for Chinese Materia Medica China Academy of Chinese Material Science, Beijing 100700, China and Pharmacy Faculty, Hubei University of Chinese Medicine, Wuhan 430065, China
Abstract:In this paper,the potential climate factors affecting the Pairs polyphylla var. yunnanensis distribution in China at rational scales were selected from related literatures, using the sampling point geographic information from of P. polyphylla var. yunnanensis, combine the maximum entropy model (MaxEnt) with spatial analyst function of ArcGIS software, to study the climate suitability of P. polyphylla var. yunnanensis cultivating region in China and the leading climate factors. The results showed that, average rainfall in August, average rainfall in October, coefficient of variation of seasonal precipitation, the average temperature of the dry season, isothermal characteristic, average temperature in July were the leading climate factors affecting the potential distribution of P. polyphylla var. yunnanensis cultivating region in China, with their cumulative contribution rate reached 97.2% of all candidate climate factors. Existence probability of the region to be predicted of P. polyphylla var. yunnanensis through the constructed model, the climate unsuitable region, low, medium and high region of P. polyphylla var. yunnanensis in China were clarified and the threshold of climatic factors were gave and clarified the climate characteristics of the cultivating region in each climatic suitability division. The results of research can provide reference for production layout and introduction of P. polyphylla var. yunnanensis.
Keywords:Pairs polyphylla var. yunnanensis  climatic suitability  regionalization  leading climate factor  maximum entropy model (MaxEnt)
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