Piping plovers (Charadrius melodus) are federally threatened shorebirds. They are heavily affected by human disturbance and predation. Individual-Based modeling (IBM) is an important tool in predicting population responses to certain scenarios, and by incorporating empirical data into our virtual models, we can predict plover responses to disturbance. We investigated the effects of human density, beach configuration, and two separate avian predators on important population rates such as chick survival, nest survival, chick weight, and average time spent flushing in response to disturbance. Using statistical models and effect sizes, we can relate our findings back to managers of plover habitat and advise them on which disturbances should be targeted for mitigation. Our findings will also inform and direct future research and investigation into the most harmful disturbance combinations.