II.5.2 - BEHAVIOR DATA Button

Open the Behavior Menu

Right-hold the BEHAVIOR button on the Main Panel and a submenu appears.

Fig. 21 Behavior button and menu

pred Coef: Predation Coefficients

Predation coefficients affect the rate of predation on smolts as a function of the density of predators and smolts. The coefficients are defined for reservoirs and dam tailraces and forebays. The coefficients are species-specific and can vary for Monte Carlo runs.

Fig. 22 Predation Coefficient window

In Fig. 22 the predation coefficient sliders for five species are illustrated. The units are 10^-7/(predators km^-2 day).

• mean - mean value of the coefficient
• low - lowest possible value of the coefficient
• high - highest possible value of the coefficient

Vvar: Migration Variance

The migration variance parameter describes the along-stream spreading of a group of fish migrating through the river segments. It is also called the velocity variance parameter. It is adjusted in the same way as other sliders.

Migration Rate Variance: Variance in Velocity

This window contains three sliders for each species (Fig. 23), denoting a mean, low, and high value. These values produce the envelope around the velocity for each release of each stock: a larger envelope around the mean value means that stock velocity is highly variable from model run to model run. This differs from "vvar" in that it applies to the entire stock and produces variation in velocity on a game by game basis. Vvar, conversely, operates to produce "spread" in a release over the entire course of migration. The impact of large variance in velocity can be substantial; we do not recommend altering the calibrated values of migration rate variance.

Fig. 23 Migration rate variance window.

Migration Eqn: Active Fish Migration Equation

In the active migration model, fish begin moving at the onset of smoltification, and their velocity may change as they grow older and more smoltified (as in yearling chinook) or it may remain more or less constant regardless of fish age (as in subyearling chinook). The sliders in the equation window (Fig. 24) change the shape of the migration pattern in well-defined ways.

Fig. 24 Active Migration Equation window.

Gas Mort Eqn: Gas Mortality Equation

Selecting this menu item brings up two different equation windows, the Gas Mortality window (Fig. 25) and the Population Density vs. Depth window (Fig. 26).

Gas Mortality window

This equation window allows the user to select among three gas mortality equations. The first is the "archaic" gas mortality equation, which uses three parameters:

• mlow: mortality rate at gas levels below the critical value
• mhi: mortality rate at gas levels above the critical value
• crit: critical gas saturation level at the surface

The second equation is the "depth-dependent" gas mortality curve, and along with the three parameters above, displays four additional parameters:

• mcr: rate at which critical saturation changes with depth
• len: pool length
• vel: water velocity
• dpth: average depth of the water column

The final equation is the "density/depth dependent" mortality model (shown in Fig. 25), and it makes use of information from the population density vs. depth window, described below. This model allows the user to describe an average depth profile for each stock, and then uses the depth-dependent mortality model to calculate mortality rate. Again, parameters can be adjusted by dragging the sliders to the desired location and clicking the "activate/save displayed equation" button.

Fig. 25 Gas Mortality Window, showing the Density/Depth Dependent Mortality model.

Population Density vs. Depth window

This window (Fig. 26) uses three sliders to describe the depth profile for each stock modeled. The parameters used are:

• Dmode: the modal depth (most commonly used depth)
• Dbot: the deepest level at which a fish will swim
• dpth: Depth of the pool

Fig. 26 Population Density vs. Depth window.