Ma Xiao-Hui, Lu You-Yuan, Huang De-Dong, Zhu Tian-Tian, Lv Pei-Lin, Jin Ling
Gansu University of Chinese Medicine, Lanzhou 730000, China.
Research Institute of Chinese(Tibetan) Medicinal Resources, Gansu University of Chinese Medicine, Lanzhou 730000, China.
Zhongguo Zhong Yao Za Zhi. 2017 Jun;42(11):2068-2071. doi: 10.19540/j.cnki.cjcmm.2017.0091.
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.
本研究旨在运用最大熵Maxent模型结合地理信息系统(GIS)预测中国中麻黄的生态适宜性,并找出影响中麻黄适宜生长区适宜性分布的主要生态因子。分析了采集的38个中麻黄样本以及利用ArcGIS技术从中国数字植物标本馆(CVH)信息中获取的116条分布信息。应用MaxEnt模型预测我国中麻黄的生态情况。中麻黄MaxEnt模型ROC曲线模型训练数据集和测试数据集的AUC值分别为0.986和0.958,均大于0.9,趋于1。模型计算得出的中麻黄栖息地适宜性具有较高的准确性和可信度,表明MaxEnt模型能够很好地预测中国中麻黄的潜在分布区域。