Enhanced adaptive management: Integrating decision analysis, scenario analysis and environmental modeling for the everglades

Matteo Convertino, Christy M. Foran, Jeffrey M. Keisler, Lynn Scarlett, Andy Loschiavo, Gregory A. Kiker, Igor Linkov

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

We propose to enhance existing adaptive management efforts with a decision-analytical approach that can guide the initial selection of robust restoration alternative plans and inform the need to adjust these alternatives in the course of action based on continuously acquired monitoring information and changing stakeholder values. We demonstrate an application of enhanced adaptive management for a wetland restoration case study inspired by the Florida Everglades restoration effort. We find that alternatives designed to reconstruct the pre-drainage flow may have a positive ecological impact, but may also have high operational costs and only marginally contribute to meeting other objectives such as reduction of flooding. Enhanced adaptive management allows managers to guide investment in ecosystem modeling and monitoring efforts through scenario and value of information analyses to support optimal restoration strategies in the face of uncertain and changing information.

Original languageEnglish (US)
Article number2922
JournalScientific reports
Volume3
DOIs
StatePublished - 2013

Bibliographical note

Funding Information:
The authors are grateful to Laure Canis for developing an initial version of the model. This study was funded be the Jacksonville District of the US Army Corps of Engineers and from the USACE Environmental Benefit Analysis (EBA) program. Permission was granted by the USACE Chief of Engineers to publish this material. The views and opinions expressed in this paper are those of the individual authors and not those of the U.S. Army, or other sponsor organizations.

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