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

Oregon Project


The development of integrated adaptive management for restoration of freshwater-estuarine ecosystems

January 2013 - April 2021


Personnel

Participating Agencies

  • CVPIA
  • Central Valley Project Improvement Act Fisheries
  • Bay Delta Office
Structured Decision Making Process

California Central Valley is the largest basin-estuary comoplex on the Pacific Coast that supports more than 500 fish, wildlife and plant species. It is also the home of millions of people that depend on the freshwater resources of the area . By its nature , the management of water resources in the Central Valley involves the evaluation of potential tradeoffs between conservation objectives, such as restoring or conserving at-risk species, and other values, such as providing reliable water supply to the public. This can result in conflict among competing objectives making the decision-making difficult. We are integrating management, science, and monitoring using the structured decision making process to develop an adaptive framework for restoration of aquatic ecosystems.

Technical Publications Publication Date
Peterson, J.T., E. McCreless, A. Duarte. 2019. Structured Decision Making for Scientific Management in the San Francisco Bay-Delta. Annual Progress Report to U.S. Bureau of Reclamation, Bay-Delta Office. 2019-05-31
Peterson, J.T., K. McDonnell, M.C. Colvin. 2014. Coarse Resolution Planning Tools for Prioritizing Central Valley Project Improvement Act Fisheries Activities. Draft Progress Report to Central Valley Project Improvement Act Fisheries Program. 2014-08-31
Peterson, J.T., A. Duarte, K. McDonell. 2019. ADAPTIVE MANAGEMENT OF CENTRAL VALLEY PROJECT FISHERIES PHASES I - V. Draft final report to the US Fish and Wildlife Service, Central Valley Improvement Act Program, Sacramento CA. 2020-01-31
Presentations Presentation Date
Duarte, A., and J.T. Peterson. 2018. An integrated population model to estimate survival, growth, and movement transition probabilities for juvenile salmonids. Biennial Bay-Delta Science Conference, Sacramento, CA. 2018-09-10
McDonald, K. and J.T. Peterson. 2019. Quantitative decision analysis for identifying the optimal allocation of Chinook Salmon habitat restoration projects in a California Central Valley stream. 55th Annual Meeting of the Oregon Chapter of the American Fisheries Society, March 4-8, Bend, OR. 2019-03-03
McDonnell, K. and J.Peterson. 2013.An example of quantitatively identifying the optimal spatial arrangement of freshwater salmon habitat restoration/improvement projects in a California Stream. Annual meeting of the American Fisheries Society Oregon Chapter, Feb 18-21. 2013-02-20
McDonnell, K. and J.T. Peterson. 2015. A state-space approach to the estimation of juvenile out-migrant survival of Chinook salmon (Oncorhynchus tshawytscha) in the Lower American River, California. 145th Annual Meeting of the American Fisheries Society, August 16-20, Portland OR. 2015-08-17
Peterson, J.T., A. Duarte, and K. McDonald. 2019. Transitioning the CVPIA fisheries program to a science-based prioritization and adaptive management process….progress? 55th Annual Meeting of the Oregon Chapter of the American Fisheries Society, March 4-8, Bend, OR. 2019-03-03
Duarte ,A. and J.T. Peterson. 2019. Decision analysis to identify optimal state-dependent restoration policies for Chinook salmon in California’s Central Valley. Annual Meeting of the American Fisheries Society, Reno NV. 2019-09-30
Duarte, A. and J.Peterson. 2020. The role of optimization in solving decision-support models for natural resource management. Annual Meeting of the Oregon Chapter of the American Fisheries Society, March 4-6, Bend, OR. 2020-03-05
Peterson, J.T. 2016. Salmon Population Model and linkage to Structured Decision-Making. 2016 Bay-Delta Science Conference, Sacramento CA. 2016-10-16
Theses and Dissertations Publication Date
McDonnell, K.N. 2019. The Influence of Scale in a Structured Decision Making Framework for Chinook Salmon Management. PhD Dissertation, Oregon State University. 2019-06-30