Abstract: The invasion of Eupatorium adenophorum Sprengel may occupy the living space of other plant species, reduce the native biodiversity and ecosystem productivity, and cause serious ecological consequences. To reasonably estimate the potential hazards of this invasion and adopt corresponding measures, it’s necessary to investigate the invaded region and potential distribution of the weed. Based on the distribution data of E. adenophorum and related environmental factors in Longitudinal Range-Gorge Region of Yunan Province, and by using Genetic Algorithm for Rule-set Prediction (GARP) model, the potential distribution of the weed was predicted. The results showed that the main suitable area for E. adenophorum was the south part of the study region, where the suitable distribution index was above 0.5, except for some specific sites. Due to the high elevation and low air temperature, the suitable distribution index in the north part of the region, except some valleys, was much lower. The modeling results of artificial neural network were basically consistent with the GARP model, showing a higher suitable distribution index in the south than in the north part. Some mountainous areas in the south part and most areas in the north part of the region were not suitable for the growth of E. adenophorum.

Key words: Beauveria bassiana oil formulation, Ultra low volume, Biological diversity