Invasive species pose significant threats to biodiversity, making it essential to understand the factors that drive their success. To contribute to effective biodiversity protection, we will analyze a comprehensive dataset that includes an invasiveness index, ecological indicator values (EIVs), habitat information, and traits for all vascular plants established in Sweden. Assuming the invasiveness index accurately reflects species impact and that EIVs, traits, and habitat data effectively capture key ecological characteristics, we will empirically test the hypothesis that species invasions occur when conditions in the recipient system favor species that can exploit them. Using Bayesian hierarchical modeling, we will explore the relationships between EIVs, traits, and invasiveness. By applying the Shapley variable importance measure, we aim to identify key factors associated with invasiveness across and within different habitat types. This approach will deepen our understanding of the competitive advantages and disadvantages of invasive species in specific habitats, generate new hypotheses about their ecological impacts, and inform targeted control measures at regional and local scales.