Idaho Power webinar

Task 2 and 3 updates

Nathan Sutton
Oak Ridge National Lab

Subtask 2a Implement a hatchery model for the Brownlee reach and demonstrate the ability to simulate collection of 6 vs. 20 broodstock.

Existing hatchery function

Hatchery function operating as expected

Number/ origin of broodstock controlled by input parameters Tquota and Tsource
Stocking juveniles increases population size in target reach

Subtask 2d Estimate appropriate stocking numbers for broodstock capture of 6 vs. 20 adults to minimize genetic introgression over the long-term.

Appropriate stocking numbers

Subtask 3a Implement the ability to simulate larval collection and repatriation in the PVA model

Modified hatchery function

Stocking numbers decreased w/ repatriation

Subtask 3b Simulate the scenario with no change in water quality and document results

Portfolio theory compares risk/returns of hatchery

returns as benefit:cost ratio @ 100 years - represented here as a point

downside risks as below average returns - represented here by shading

Portfolio theory as a neutral framework

Tradeoffs between Bliss and Brownlee

Few solutions efficient for both reaches

Research conclusions

One efficient solution (10, no release limit)

Many suboptimal at upper/lower risk levels

Two efficient solutions (750 or 850)

Many suboptimal at intermediate risk levels

Working Tasks

Updating risk calculations with updated water quality data (Nate)
Automating modification of input parameters for PVA (Nate)
Improving spatial and temporal resolution of PVA by adapting shortnose model (Yetta)