[Objectives] From July 2019 to November 2021, based on the data of bird community diversity surveys conducted at Yangzhou Taizhou International Airport and its surrounding areas, this study analyzed the species, function and phylogenetic diversity of bird communities in different habitats, to explore the function and phylogenetic structure of bird communities and the correlation between each index. This study investigated the construction process of the bird community in the human-disturbed airport environment and provided a theoretical basis for the prevention and control of bird disease in the airport and its surrounding areas. [Methods] The traditional point count method was used to investigate the bird community of 30 sampling sites in 4 habitats (Fig. 1). The statistical analysis included single-group t-test, with a total of 713 samples, which was the cumulative survey number of 30 samples in 2 years. A total of 2 224 individuals were included in the sample, which was the cumulative sum of the number of species observed during the survey of the sample sites. Traditional bird community diversity indices such as richness, abundance, Shannon-Wiener index, Simpson diversity index, and Pielou evenness index were used to characterize the species diversity, functional (FDis) and phylogenetic (Faith’ PD) diversity elucidates the differences in the diversity of bird communities around the airport for each habitat type. Meanwhile, based on the mean pairwise functional distance (MFD) and mean pairwise phylogenetic distance (MPD) weighted by abundance, the function and phylogenetic structures of the community were characterized, and the community assembly mechanisms, as well as correlations between various diversity indicators, were explored. The calculation and statistical analysis of this study were completed in R 4.0.0. A total of 30 survey samples were designed in this study, with a total of 713 survey samples and 2 224 observational data. [Results] Our results showed that (1) The species accumulation curves of the four habitats were close to asymptotes, indicating that the survey data of bird species were relatively complete and fully met the requirements of the analysis (Fig. 2). (2) A total of 88 bird species were recorded, belonging to 14 orders and 36 families, respectively. The largest number of orders and families were Passeriformes and Scolopacidae (Fig. 3). (3) FDis was highest in farmland and lowest in urban areas, and PD was highest in urban areas and lowest in wetlands (Fig. 4). (4) Standardized effect size analysis showed that random processes affected the function and phylogenetic construction of wetland bird communities, and the clustering of communities in the other three habitats was mainly affected by habitat filtering (Fig. 5). [Conclusion] The analysis of bird community diversity and related indicators in this study can grasp the relationship between habitat types and airport bird communities, and provide theoretical guidance for airport managers.