Cooperative Fish and Wildlife Research Units Program: Oregon
Education, Research and Technical Assistance for Managing Our Natural Resources

A considerable amount of resources have been invested in ecological restoration projects across the globe to restore ecosystem integrity. These restoration strategies are often diverse and have been met with mixed success. In this paper, we describe the Chinook salmon (Oncorhynchus tshawytscha) decision-support models developed by the Central Valley Project Improvement Act Science Integration Team as part of a larger structured decision making effort aimed at maximizing natural adult production of Chinook salmon in California’s Central Valley, USA. We then describe the decision analytic tools the stakeholder group used to solve the models and explore model results, including stochastic dynamic programming, forward simulation, proportional scoring, relative loss, expected value of perfect information, response profile analyses, and indifference curves. Using these tools, the stakeholder group was able to develop and quantitatively evaluate restoration strategies for multiple Chinook salmon runs simultaneously, a first for the restoration program. Furthermore, information uncovered during this process was then used to direct efforts towards targeted research/monitoring to reduce critical uncertainties and make better restoration decisions moving forward. The decision sciences have established a wide range of analytical tools and approaches to simplify complex problems into key components, and we believe the concepts described in this paper are of great interest to many restoration practitioners that undoubtedly face similar difficulties when implementing restoration strategies for complex systems.