Abstract
The cassava green mite (Mononychellus mcgregori) was listed as a quarantine pest in the world. The risk of invasion of M. mcgregori was on the increasing with the development of foreign trade, especially in Guangxi province, China. Therefore the prediction of geographic distribution areas and pest risk analysis should be done urgently. In this paper potential geographic distribution areas of M. mcgregori in Guangxi were predicted with niche model MaxEnt. Through validating prediction result and analyzing technical parameter AUC-value, it is sure that niche model MaxEnt is suitable for predicting potential distribution areas of M. mcgregori in Guangxi. At the same time the useful method would be utilized to predict potential geographic distribution areas of other cassava pests.
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