关键词: 青岛, 蝇类, 生态学监测, 种类构成, 季节消长

Abstract: Objective To investigate the species composition, population density distribution, and seasonal fluctuation of flies in Qingdao, China, and to provide a scientific basis for fly control. Methods Flies were monitored using the cage trap method. Fly species composition was analyzed using the chi-square test, and fly population density was analyzed using the Kruskal-Wallis H test. Results From 2017 to 2022, a total of 10 490 flies were caught, with a mean annual density of 12.14 flies/cage. The dominant fly populations were Sarcophagidae, Musca domestica, and Lucilia sericata, accounting for 22.73%, 17.58%, and 17.45%, respectively. The species composition of fly differed significantly in different years (χ²=4 863.573, P<0.001). The activity of flies spanned a long period from March to November. The seasonal peak of fly population density in different years all occurred in July, at 47.63, 32.13, 33.63, 23.00, 26.75, and 28.50 flies/cage, respectively, and there was a significant difference in the seasonal fluctuations of fly density between different years (H=36.442, P<0.001). For different habitats, fly density was highest in farmers’ markets (15.27 flies/cage) and lowest in restaurant surroundings (7.26 flies/cage), with a significant difference in the density of each fly species between different habitats (H=2.386, P=0.035). Among the dominant species, M. domestica had the highest density in residential areas (3.18 flies/cage), Sarcophagidae had higher densities in farmers’ markets (2.68 flies/cage), green belts (2.73 flies/cage), and residential areas (3.75 flies/cage), and L. sericata had the highest density in farmers’ markets (3.34 flies/cage). Conclusions Flies in Qingdao are mainly infested farmers’ markets and residential areas, peaking in July, and different fly species prefer different habitats. Fly seasonality, dominant species, and breeding characteristics should be considered in formulating targeted control measures to effectively reduce fly population density.

Key words: Qingdao, Fly, Ecological surveillance, Species composition, Seasonal fluctuation