湖北黄精潜在分布区预测及生态适宜性研究

利用湖北黄精219个分布位点信息和55个环境生态因子,采用最大熵模型(Maxent模型)及地理信息系统(ArcGIS),筛选出影响湖北黄精生态适宜性的主导环境因子,并对湖北黄精适宜生长区进行划分.结果 显示:Maxent模型预测结果良好(AUC＞0.9),说明此研究具有非常高的准确度和可靠性.适宜湖北黄精生长的环境参数...

Prediction of the Potential Distributions and Ecological Suitability of Polygonatum zanlanscianense Pamp

Based on the information of 219 distribution sites of Polygonatum zanlanscianense Pamp and 55 environmental ecological factors, the dominant environmental factors affectting the ecological suitability of Polygonatum zanlanscianense Pamp were screened and the suitable growing areas were divided using the maximum entropy model (Maxent model) and GIS (ArcGIS). The results showed that: Maxent model had high accuracy and reliability (AUC>0.9). So, the suitable ecological parameters of Polygonatum zanlanscianense Pamp predicted by this model were that: precipitation of 54~160 mm in April; precipitation of 94~133 mm in October; the average temperature in November was 3.2~13.2 ℃; precipitation of 119~233 mm in May; the temperature annual range was 25.6~33.7 ℃; standard deviation of seasonal variations in temperature was 71.55~80.17 ℃; the soiltype codes were 11 (calcaric cambisols), 96(fimic anthrosols), 104(leptosols), precipitation of 112~217 mm in June, precipitation of 100~191 mm in September. It was predicted that the most suitable distribution areas of Polygonatum zanlanscianense Pamp were Shaanxi, Hubei, Chongqing, etc., which could provide theoretical basis for the cultivation, utilization, and development of Polygonatum zanlanscianense Pamp.