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.