We propose a framework that brings together two major forms of default reasoning in Artificial Intelligence: applying default property classification rules in static domains, and default persistence of properties in temporal domains. Particular attention is paid to the central problem of qualification. We illustrate how previous semantics developed independently for the two separate forms of default reasoning naturally lead to the integration that we propose, and how this gives rise to domains where different types of knowledge interact and qualify each other while preserving elaboration tolerance.