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中国珍稀药用植物白及的潜在分布与其气候特征
引用本文:龚晔,景鹏飞,魏宇昆,黄卫昌,崔浪军.中国珍稀药用植物白及的潜在分布与其气候特征[J].云南植物研究,2014(2):237-244.
作者姓名:龚晔  景鹏飞  魏宇昆  黄卫昌  崔浪军
作者单位:[1]药用植物资源与天然药物化学教育部重点实验室,陕西师范大学生命科学学院,陕西西安710010 [2]上海辰山植物园,上海201602
基金项目:科技部科技惠民计划项目(2012GS610102)、上海市绿化和市容管理局科学技术项目(F132439)资助致谢感谢科技部科技惠民计划项目和上海市绿化和市容管理局科学技术项目对本研究的大力支持.
摘    要:基于白及(Bletillastriata)地理分布信息和影响白及分布的主导气象因子,利用最大熵模型和地理信息系统预测了中国白及的潜在分布与其气候特征。结果表明:所建模型经ROC曲线验证,预测效果非常好(AUC〉0.9):中国白及潜在分布区主要位于秦岭、淮河以南大部分地区,白及主要适生省份为云南、湖北、四川、湖南、江西、浙江;刀切法测试表明,4月和10月最低气温、年温度变化范围、11月平均降水量为影响白及潜在分布的最主要气象因子。研究结果可为白及资源的调查、保护与人工种植产业的发展提供理论指导。

关 键 词:白及  最大熵模型  地理信息系统  潜在分布  气象因子

Potential Distribution of Bletilla striata (Orchidaceae) in China and Its Climate Characteristics
GONG Ye,JING Peng-Fei,WEI Yu-Kun,HUANG Wei-Chang,CUI Lang-Jun.Potential Distribution of Bletilla striata (Orchidaceae) in China and Its Climate Characteristics[J].Acta Botanica Yunnanica,2014(2):237-244.
Authors:GONG Ye  JING Peng-Fei  WEI Yu-Kun  HUANG Wei-Chang  CUI Lang-Jun
Institution:1 Key Laboratory of Medicinal Plant Resources and Natural Pharmaceutical Chemistry (Shaanxi Normal University) Ministry of Education, Xi' an 710010, China ; 2 Chenshan Botanical Gargen, Shanghai 201602, China)
Abstract:The potential distribution of Bletilla striata and its climate characteristics was predicted with MaxEnt mod- el and ArcGIS. The data was based on the information of geographic distribution of the plant and its dominant climate factors. The results showed that the model built by dominant climate factors had an ideal forecasting effect, which was tested by the ROC curve ( AUC 〉 0. 9). The model revealed that the potential distribution areas were mainly in the south of the Qinling Mountains and Huai river. The major suitable provinces for the plant were mainly restricted to Yunnan, Hubei, $ichuan, Hunan and Jiangxi. A jackknife test in MaxEnt suggested that Min temperature of Apr (tmin4), Min temperature of Oct (tminl0), Temperature annual range (bioT) and Precipitation of Nov ( prcl 1 ) were the most important climate variables affecting the potential distribution of the plant. The results can provide some theoretical basis for the resources protection, germplasm collections and reasonable development and utilization of wild Bletilla striata.
Keywords:Bletilla striata  MaxEnt model  ArcGIS  Climate factors  Potential distribution
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