【摘要】 目的：明确白及资源分布格局、促进其保护和科学利用并行。方法：根据白及属中我国产4个种的地理分布数据，运用ArcGIS绘制中国范围内白及属分布图。采用R程序包Biomod2组合模拟出当前白及在中国的潜在分布，并对其与环境变量之间的联系进行分析。结果：组合模型的受试者工作特征曲线下面积（AUC）为0.95，真实技巧统计值（TSS）为0.82，表明模型运行良好。将参与的环境因子重要性进行评估得出，最冷月最低气温是影响白及分布的主导因素。目前白及潜在分布区主要在中国的中亚热带地区。结论：组合模型是预测白及潜在分布的最适合模型，分析结果较为可靠，可为我国白及属野生资源的调查、保护和适合栽培地的选择提供理论依据。更多还原

【Abstract】 Objective: To clarify the distribution pattern of Bletilla striata resources and to facilitate the conservation and scientific utilization of these resources. Methods: Based on the geographical distribution data, ArcGIS was used to map the distribution of four species belonging to Bletilla in China. R package Biomod2 was employed to simulate the potential distribution of B. striata in China and to analyze its relationship with environmental variables. Results: The ensemble models performed well, with an area under the receiver operating characteristic curve(AUC) of 0.95 and true skill statistics(TSS) of 0.82. Among the evaluated environmental factors, the minimum temperature of coldest month was the dominant influence on the distribution of B. striata. The potential distribution of B. striata was mainly located in mid-subtropical China. Conclusion: The ensemble model proved to be the most suitable for predicting the potential distribution of B. striata. The reliable findings provided a theoretical basis for the investigation, protection, and selection of cultivation regions for Bletilla resources in China.更多还原