 This dynamical understanding, as Kellert denotes it, achieved by chaos models would suggest that typical causal accounts of explanation are aimed at a different level of understanding. In other words, causal accounts look much more consonant with studying the full nonlinear model. Chaos explanation, by contrast, pursues understanding by using reduced equations derived through various techniques, though still based on the full nonlinear equations. This way of viewing things suggests that there is a kind of unification going on in chaos explanation after all. A set of behavior patterns serves as the explanatory or unificatory features bringing together the appearance of similar features across a very diverse set of phenomena and disciplines (note: Kellert does not discuss unification accounts). This, in turn, suggests a further possibility: A causal account of explanation is more appropriate at the level of the full model, while a unification account perhaps is more appropriate at the level of the chaotic model. The approaches would be complementary rather than competing. 