Technical Abstract: Mathematical and process-based simulation models are powerful tools for synthesizing information about invasive species. However, there are a number of different types of models, ranging from simple to complex, that can be selected for any given application. In this paper, a model classification framework of three types of models is applied to studies of invasive species that allows the objective selection of a model type based on its ability to capture key processes and dynamics, yet minimize the errors in prediction. Model selection is illustrated using a series of increasingly complex models