CONCLUSION.
Although ecosystems are dynamic and macroecological patterns do not remain constant in the face of disturbance, dynamic macroecology has not been adequately explored. DynaMETE, a theory of dynamic macroecology, hybridizes explicit mechanisms driving change with a powerful inference procedure, MaxEnt, from information theory. By predicting how patterns in macroecology shift under anthropogenic perturbations, or under natural successional and evolutionary forces, DynaMETE can contribute to better understanding the fate of disturbed ecosystems, to improving conservation and management strategies in ecology, to developing early warning indicators of ecosystems in transition or at the edge of collapse, to identifying specific processes driving ecological change, and to clarifying the roles of ecology and evolution in diversifying ecosystems. DynaMETE is a candidate dynamic theory of macroecology in the Anthropocene.