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Our goal is to understand the ecological and evolutionary mechanisms triggering cyanoHABs within a lake ecosystem and its food-web, and develop predictive models of these events. We are addressing the potential hypotheses about the mechanisms triggering cyanoHABs with a holistic approach: Collecting information from genes and metabolites to population, community and ecosystem dynamics, and integrating all of this information into theoretical mechanistic models of cyanoHABs. Our interdisciplinary approach has high potential to provide robust inference through the application of joint empirical approaches (monitoring, controlled experiments), data assimilation and theory, which assure inference of mechanisms and accelerate progress compared to purely disciplinary studies.