Management of stochastic renewable natural resources occurs in the presence of various forms of uncertainty (e.g., parametric, model, and state).While the implications of different types of uncertainty for management have been carefully analyzed individually, it is not clear when each different type of uncertainty is relatively more or less important for the resource manager.In this talk, I will attempt to define three different forms of uncertainty.I will then discuss some of the challenges of comparing the value of learning about these different uncertainties within the same resource management problem. I will then describe and simulate one candidate method for comparing two different types of uncertainty.