One of the central challenges for climate adaptation is anticipating changing dynamics in our management strategies. When and how should we act early to either mitigate or take advantage of the effects of a changing system? We explored this question in the context of setting waterfowl hunting regulations, using dynamic programming to find time-dependent optimal policies that account for, and indeed, anticipate, changes in the underlying demographic parameters. In this talk, we present results from a theoretical investigation of this question and discuss ongoing work with management agencies to apply the approach to waterfowl harvest management in the U.S.