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Theoretical and empirical work has described a range of scenarios in which plasticity may shape adaptation to a novel environment. For example, recent studies have implicated a role for both adaptive and non-adaptive plasticity in facilitating adaptive evolution, yet we lack a broad mechanistic framework to predict under what conditions each scenario is likely to dominate evolutionary processes. We propose that such a framework requires understanding how transcriptional, protein, and developmental networks change in response to different rearing environments across evolutionary time scales. Our central argument is that these hierarchical networks generate and maintain phenotypic variation in populations, both by buffering organisms from developmental noise and mutational inputs and by exhibiting flexible responses to environmental cues. These network properties in turn lead to predictions about how …