应用MaxEnt模型预测辣椒果实蝇在中国的潜在地理分布

Using MaxEnt model to predict potential geographic distribution of Batrocera latifrons in China

采用MaxEnt模型和ArcGIS地理信息系统,将影响辣椒果实蝇生存条件因子的环境数据(降水、温度、海拔)等作为模型的变量,以现有分布区的最大相似度来预测辣椒果实蝇在中国的潜在地理分布。

Using the MaxEnt model and ArcGIS geographic information system, and using the environmental data （ such as precipitation, temperature, altitude） which involve the influence factors of existence condition of Bacerocera latifrons as a variable, this paper took the largest similarity of distribution area to predict the potential geographic distribution of B. latifrons in China.