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

Oregon Project


The development and evaluation of monitoring protocols to inform water resource decision making

October 2017 - September 2021


Personnel

Participating Agencies

  • METROPOLITAN WATER DISTRICT OF SOUTHERN CALIFORNIA
Enhanced Delta Smelt Monitoring conducted by USFWS: Credit Steve Martarano/USFWS

Natural resource managers invest a considerable amount of resources on surveillance monitoring programs to track the distribution and abundance of species. Although these data can be useful when evaluating spatial and temporal trends for populations, using these data directly assumes the population dynamics signal is greater than the noise in the data that stems from the sampling process. This assumption is frequently unmet. An equally important consideration is the integration of monitoring and natural resource decision-making. Here we are evaluating the adequacy of long term monitoring data from San Francisco Bay-Delta to depict the status of fish populations and developing alternative estimators that can be integrated with water resource decision-making.

Research Publications Publication Date
Duarte, A. M.J. Adams, and J.T. Peterson. Fitting N-mixture models to count data with unexplained heterogeneity: bias, diagnostics, and alternative approaches. Ecological Modelling 2018-01-31
Peterson, J.T. and M.F. Barajas. 2018. An evaluation of three fish surveys in the Bay-Delta, 1995-2015. San Francisco Estuary and Watershed Science 16:4 2018-12-31
Kirsch, J.E., J.L.Day, J.T.Peterson, and D.K. Fullerton. 2018. Fish Misidentification and Potential Implications to Monitoring Within the San Francisco Estuary, California. Journal of Fish and Wildlife Management 9: 467-485. 2018-12-31
Technical Publications Publication Date
Duarte, A. and J.T. Peterson. 2017 Fitting N-mixture models to count data with unexplained heterogeneity: bias, diagnostics, and alternative approaches. Task Completion Report to Metropolitan Water District of Southern California, 24 July 2017, 80 pp. 2017-07-31
Peterson, J.T. and J.T. Deweber. 2018. Associations and quasi-extinction estimates for abundance indices and occupancy estimates for San Francisco bay delta fish species. Draft task Completion Report to Metropolitan Water District of Southern California, July 2018, 64 pp. 2018-07-31
Peterson, J.T., S. Whitlock, and A. Duarte. 2018. Evaluation of California Central Valley Project and State Water Project Fish Salvage Estimators. Draft task Completion Report to Metropolitan Water District of Southern California, August 2018, 23 pp. 2018-08-31
Presentations Presentation Date
Duarte, A., J.T. Peterson, M.A. Adams. 2017 N-mixture models in the presence of unmodeled heterogeneity in count data: when can we trust the inferences? Oregon Chapter of The Wildlife Society 2017 Annual Meeting, February 8-10, Pendleton, Oregon. 2017-02-09
Millers, K. and J.T Peterson. 2016.Evaluating the uncertainty in long-term fish monitoring data in the San Francisco Estuary . The International Society for Ecological Modelling Global Conference 2016. 8-12 May, Towson University, MD. 2016-05-08
Millers, K.A and J.T Peterson. 2016. Are the fishes imperiled? Evaluating uncertainty from long-term fish monitoring in the San Francisco Delta. International Statistical Ecology Conference 2016, Seattle. 2016-06-28
Peterson, J.T. 2014.Influence of incomplete capture on fish monitoring and management: problems and solutions. Annual California Delta Science Conference, October 29-31, Sacramento, California. 2014-10-29
Peterson, J.T., M. Barajas, J.T. DeWeber. 2018. Multistate occupancy modeling for Longfin Smelt. Biennial Bay-Delta Science Conference, Sacramento, CA. 2018-09-10