While migrating through the Delta and its tributaries, Chinook salmon and steelhead move through diverse habitats, encounter predators, interact with highly dynamic flows, and are impacted by a multitude of human-made structures. Funding for this Project will be use to develop integrated system-level models that will effectively manage salmonid populations and other key resources in the California Central Valley.
Regents of the University of California, Santa Cruz
Specific objectives to accomplish the above goals of speed, robustness, usefulness and accessibility are:
1. Incorporate new behavioral data from up to date fish tagging and other studies
2. Use novel analytical methods to design navigation and predation modules based on high-resolution 2D acoustic telemetry data.
3. Design navigation and predation modules based on how salmon modify migration behavior in response to predators, flows and other environmental variables.
4. Increase model speed and robustness to diverse and changing environmental conditions.
5. Reduce uncertainty parameters in the existing NMFS ePTM hydrodynamics module by improving terms used for physical drivers of migration dynamics in the model.
6. Develop a hybrid 1D-3D model
7. Decrease model scenario run time and uncertainty, and maximize model simplicity, by passing 3D modeled parameters for the most critical channel junctions, flooded islands and wetlands, to the model’s 1D hydrodynamic driver.
8. Evaluate and validate the model’s ability to robustly predict salmon fates across a wide range of environmental condition
Research/Planning (including Science)
Project Benefits a Disadvantaged Community (or SDAC):