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Plant Diversity ›› 2015, Vol. 37 ›› Issue (03): 349-356.DOI: 10.7677/ynzwyj201514103

• 研究论文 • 上一篇    下一篇

药用植物细辛在中国的潜在适生区分布

 景鹏飞1、2, 武坤毅1, 龚晔1, 韩立敏3, 崔浪军1   

  1. 1 药用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,西安710062;
    2 运城市种子管理站,山西 运城044000;3 陕西学前师范学院,西安710100
  • 收稿日期:2014-07-15 出版日期:2015-05-25 发布日期:2014-03-09
  • 基金资助:

    陕西省科技攻关计划 (2012K190204);中央高校基本科研业务费专项资金 (GK200902032);西安市科技计划 (NC1206(6))

Prediction of Potential Geological Distribution of Asarum in China by Maxent Model

 JING  Ping-Fei-1、2, WU  Kun-Yi-1, GONG  Ye-1, HAN  Li-Min-3, CUI  Lang-Jun-1   

  1. 1 Key Laboratory of Medicinal Resources and Natural Pharmaceutical Chemistry (Ministry of Education) School of Life
    Sciences, Shaanxi Normal University, Xi’an 710062, China; 2 Seed Administration Station, Yuncheng County,
    Yuncheng, Shanxi 044000, China; 3 Shaanxi Xueqian Normal University, Xi’an 710100, China
  • Received:2014-07-15 Online:2015-05-25 Published:2014-03-09
  • Supported by:

    陕西省科技攻关计划 (2012K190204);中央高校基本科研业务费专项资金 (GK200902032);西安市科技计划 (NC1206(6))

摘要:

细辛 (Asarum) 属植物多为我国传统名贵药源植物。利用3种入药的细辛属植物在中国的126个地理分布记录, 结合6大类28项环境因子,应用最大熵模型 (Maxent) 和地理信息系统 (ArcGIS93) 软件,定量地预测了细辛在我国的潜在适生区及其适生等级。结果表明,3种细辛属药用植物在中国的潜在适生区分布较为广泛,高适生区和适生区面积分别达到3125km2和276042km2,与降雨量相关的年降雨量、最干季降雨量和最暖季降雨量是影响细辛属药用植物分布的主要环境因子。本研究的预测结果可为细辛属药用植物资源的研究与栽培生产用地的合理布局提供参考依据。

关键词: 细辛, 最大熵模型, 潜在适生区

Abstract:

Genus Asarum contains several plant species that are mostly used as precious drug resources. In this study, 126 distribution records of 3 Asarum species and relevant 28 environmental factors data were collected, then a geographical distribution model of the genus medicinal plants in China was made by Maxent and the ArcGIS spatial analysis technique. The results showed that the 3 Asarum species have a wide potential distribution region. High suitable region and suitable region were 3125km2 and 276042km2 respectively. Among the environmental factors, 3 precipitation factors (annual precipitation, precipitations in the most dry season and the most warm season) are the main ones that can affect the distribution of the 3 Asarum medicinal plants. This study can provide a useful reference for the collection and cultivation of Asarum medicinal plants.

Key words: Asarum, Prediction of potential distribution, Maximum entropy model (Maxent)

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