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The current accelerated extinction tempo and the attendant decline in speciation rates are expected to segue into a mass-extinction event in the next few centuries. It cannot be stopped and will have profound implications for humans not yet born. What can be done? To begin, it is clear that the customary short-term conservation strategies with their scale mismatches fail to work in the long term, because they ignore the slow variables associated with deep time that ultimately drive the eco-evolutionary dynamics of ecosystems. Also, it is clear that large population ranges not only reduce extinction rates, but also enhance speciation rates. Hence, mitigation strategies for protecting as much evolutionary potential as possible during the forthcoming century and subsequent millennia (10–10 years) necessitate a focus on nonlinear, self-organizing, eco-evolutionary complexity that emerges from the slow processes embedded across expansive spatial and temporal scales. Management schemes for the effective protection of eco-evolutionary couplings include restoring apex predators, maintaining ecoevolutionary abundances of important species, linking bottom-up and top-down control of food webs, establishing and protecting corridors between ecosystems, strengthening the negative feedbacks that sustain eco-evolutionary interplay, and protecting and restoring biodiversity and biodisparity. Moreover, given that the vast majority of ecosystems worldwide are human dominated, it is imperative that the geographical range of diverse biota be expanded into these anthropogenic habitats, a sharing of living space promoted by reconciliation ecology. To illustrate the theoretical efficacy of the above, we briefly apply Ecosystems and Sustainable Development IX 57 www.witpress.com, ISSN 1743-3541 (on-line) WIT Transactions on Ecology and The Environment, Vol 175, © 2013 WIT Press doi:10.2495/ECO130061 reconciliation ecology to the long-term eco-evolutionary management of the densely populated northeastern United States.

The ongoing extinction event: a deep time, eco-evolutionary perspective for mitigation and reconciliation management