Abstract: Peach aphid, Myzus persicae (Hemiptera: aphidiae), happened in all of the vegetable regions in china, especially in pepper, is a destructive pest of a wide range of crops. Peach aphids became control key point are due to be strong reproductive capacity and effect to quality and yield of pepper. So, in order to better understand the occurrence regularity of Myzus persicae in Chendu pepper regins of Sichuan province, two regression models [Iwao"s regression and Taylor"s power principle] and eight indices of aggregation [ K, C, C_A, I, M*, m*/m, L*, L*/(1+m)] were used to test the spatial distribution patterns of Myzus persicae population. The results indicate that the distribution patterns of Myzus persicae population, which accords with minus binomial distribution, belong to an aggregated distribution. The aggregation intensity increases with the increase of population density, and attracts each other. The aggregated mean indice (λ) suggested that aggregation was caused by biological characteristics of Myzus persicae and environmental factors, but environmental factors became key point after late August. In addition, the aggregation indexs [K, C_A, m*/m, L*/(1+m)] can explain the spatial distribution patterns of Myzus persicae population better through correlation analysis between population density and aggregation index. The equation of theoretical sampling number and sequential sampling model were inferred from the spatial pattern parameters.