摘要
利用最大熵Maxent模型并结合GIS技术对中麻黄在我国的生态适宜性进行预测,以寻找影响中麻黄适宜性分布的主要生态因子及适宜生长区域。对采集到38份中麻黄样本和从CVH中获得的116条中麻黄分布信息运用ArcGIS技术进行分析。利用MaxEnt模型对中麻黄在我国的生态适宜区进行预测。中麻黄MaxEnt模型ROC曲线训练数据集和测试数据集的AUC依次分别是0.986,0.958,均大于0.9,趋近于1。中麻黄较高适宜度主要集中在甘肃西部、青海东部、新疆西北部、内蒙古中部和西藏东北部。模型运算得出的中麻黄生境适宜度具有很高的准确度和可信度,表明MaxEnt模型对中麻黄在中国潜在分布区的预测效果非常好。为野生资源的探测和栽培区域的选择提供参考依据。
The study aims at predicting ecological suitability of Ephedra intermedia in China by using maximum entropy Maxent model combined with GIS, and finding the main ecological factors affecting the distribution of E. intermedia suitability in appropriate growth area. Thirty-eight collected samples of E. intermedia and E. intermedia and 116 distribution information from CVH information using ArcGIS technology were analyzed. MaxEnt model was applied to forecast the E. intermedia in our country＇s ecology. E. intermedia MaxEnt ROC curve model training data and testing data sets the AUC value was 0. 986 and 0. 958, respectively, which were greater than 0. 9, tending to be 1. The calculated E. intermedia habitat suitability by the model showed a high accuracy and credibility, which indicated that MaxEnt model could well predict the potential distribution area of E. intermedia in China.
出处
《中国中药杂志》
CAS
CSCD
北大核心
2017年第11期2068-2071,共4页
China Journal of Chinese Materia Medica
基金
2014高校基本科研业务费专项课题(甘财教[2014]63号06课题)
甘肃教育厅科研项目(1106B-07)
科技基础性工作专项重点项目子课题(SB2007FY020)
甘肃省基础研究创新群体项目(1606RJIA323)
中央引导地方科技发展专项项目
