我国滇重楼种植的气候适宜性研究(1)
[摘要]该文在对云南、四川、贵州3省175个滇重樓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972%。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)
Climate suitability for potential Pairs polyphylla var
, 百拇医药
yunnanensis cultivation in China
SHI Ziwei1，2， KANG Liping3， PENG Huasheng4， YANG Shaohua5， ZHANG Lixia6，JING Zhixian3， CHEN Min3*， LIU Dahui1*
(1Pharmacy Faculty， Hubei University of Chinese Medicine， Wuhan 430065， China；
2College of Resources and Environment， Yunnan Agricultural University， Kunming 650201， China；
3State Key Laboratory of Daodi Herbs Breeding Base， National Resource Center for Chinese Materia Medica China Academy of Chinese Material Science， Beijing 100700， China；
, http://www.100md.com
4 Pharmacy Faculty， Anhui University of Chinese Medicine， Hefei 230012， China；
5 Institute of Alpine Economic Plant， Yunnan Academy of Agricultural Sciences， Lijiang 674100， China；
6Yunnan Branch of Institute of Medicinal Plant Development， Chinese Academy of Medical Sciences， Jinghong 666100， 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 972% 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., http://www.100md.com(石子为康利平彭华胜杨少华张丽霞景志贤陈敏刘大会)
[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)
Climate suitability for potential Pairs polyphylla var
, 百拇医药
yunnanensis cultivation in China
SHI Ziwei1，2， KANG Liping3， PENG Huasheng4， YANG Shaohua5， ZHANG Lixia6，JING Zhixian3， CHEN Min3*， LIU Dahui1*
(1Pharmacy Faculty， Hubei University of Chinese Medicine， Wuhan 430065， China；
2College of Resources and Environment， Yunnan Agricultural University， Kunming 650201， China；
3State Key Laboratory of Daodi Herbs Breeding Base， National Resource Center for Chinese Materia Medica China Academy of Chinese Material Science， Beijing 100700， China；
, http://www.100md.com
4 Pharmacy Faculty， Anhui University of Chinese Medicine， Hefei 230012， China；
5 Institute of Alpine Economic Plant， Yunnan Academy of Agricultural Sciences， Lijiang 674100， China；
6Yunnan Branch of Institute of Medicinal Plant Development， Chinese Academy of Medical Sciences， Jinghong 666100， 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 972% 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., http://www.100md.com(石子为康利平彭华胜杨少华张丽霞景志贤陈敏刘大会)