Direct policy search for robust multi-objective management of deeply uncertain socio-ecological tipping points

Julianne D. Quinn, Patrick M. Reed, Klaus Keller

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

Abstract

Managing socio-ecological systems is a challenge wrought by competing societal objectives, deep uncertainties, and potentially irreversible tipping points. A classic, didactic example is the shallow lake problem in which a hypothetical town situated on a lake must develop pollution control strategies to maximize its economic benefits while minimizing the probability of the lake crossing a critical phosphorus (P) threshold, above which it irreversibly transitions into a eutrophic state. Here, we explore the use of direct policy search (DPS) to design robust pollution control rules for the town that account for deeply uncertain system characteristics and conflicting objectives. The closed loop control formulation of DPS improves the quality and robustness of key management tradeoffs, while dramatically reducing the computational complexity of solving the multi-objective pollution control problem relative to open loop control strategies. These insights suggest DPS is a promising tool for managing socio-ecological systems with deeply uncertain tipping points.

Original languageEnglish (US)
Pages (from-to)125-141
Number of pages17
JournalEnvironmental Modelling and Software
Volume92
DOIs
StatePublished - 2017

All Science Journal Classification (ASJC) codes

  • Software
  • Environmental Engineering
  • Ecological Modeling

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