  We show how clustering as a general hierarchical dynamical process proceeds
via a sequence of inverse cascades to produce self-similar scaling, as an
intermediate asymptotic, which then truncates at the largest spatial scales. We
show how this model can provide a general explanation for the behavior of
several models that has been described as ``self-organized critical,''
including forest-fire, sandpile, and slider-block models.
