Mid-Columbia Fall Chinook Travel Time


|Tools & Models| |CRiSP Models| |Travel Time|

The Data

These run-of-the-river fish were collected, tagged, and released at Rock Island Dam on the mid- Columbia River. Summer/fall chinook on the mid-Columbia arise from natural populations spawning in the mainstem Columbia and tributaries and from several hatcheries. They are considered to be "ocean-type" chinook, meaning that they migrate to sea as subyearlings shortly after they emerge from eggs in the spring. In contrast, spring or "stream-type" chinook migrate as yearlings after over-wintering in a stream. Although the taggers were not able to distinguish individual fish as being either spring or summer/fall, two temporally distinct distributions passed the dam each year. We followed the precedent of Chapman, et al. (1994) and identified the later peak as summer/fall chinook. Release groups over 7 consecutive days were lumped together to form cohorts.

The arrival distribution at McNary dam is very protracted, with a few individuals arriving through October, November and December. We decide to eliminate from the analysis fish arriving after October 7 (Julian day 280) for the following reasons: 1) it is likely that these late arrivals will either over-winter in the river (and thus would complete their migration as yearlings) or will die before reaching the estuary; 2) we are interested in the behavior of the active migrants; 3) mitigation efforts are likely to be directed at the 90-95% of the population that arrive during the summer months; and 4) the late arrivals strongly influence average travel times. Approximately 5% of the fish were censored. In the future, we will conduct similar analyses with later cutoff dates.


Models

We applied six models of varying complexity to the data:

Model details are provided by Zabel, et al. (1996).


Graphical Results

The plots below show observed average travel times versus modeled average travel times to McNary Dam for all five models.

corresponds to observations at McNary Dam.

Tabular Results

Table 1 . Parameter estimates, standard errors, sum of squares, and R2 for the Rock Island fall chinook in the years 1992 - 1996. The units for 0 and offset95 are mi·day-1. FLOW is non-dimensional. 1 has units 1/date. LEN has units mi·day-1·mm-1. TSEASN has units of Julian date, and 2 has units km2·day-1.
model parameter estimates (standard error) resid. ss R2
0 FLOW LEN TSEASN offset95 2
1 5.89 (0.42) - - - - - 357.09 1106.09 -
2 -1.30 (1.40) 0.344 (0.066) - - - - 357.09 829.46 0.250
3 -0.35 0.600 - 0.0003 190.0 - 357.09 829.86 0.250
7 -17.19 (5.81) - 0.221 (0.056) - - - 357.09 783.74 0.291
8 -28.54 (5.59) 0.364 (0.031) 0.255 (0.051) - - - 357.09 507.86 0.541
18 -31.24 (1.96) 0.527 (0.037) 0.238 (0.020) - - 3.75 (0.35) 357.09 277.18 0.750

Results

Based on the model 1 (constant migration) results, the average migration rate for these fish is 5.89 miles/day. This is slower than any of the other stocks we have studied. Model 2 (linear flow) explains 25% of the variability present in model 1. With this model, fish use 34% of the river velocity for migration. Model 3, which adds a seasonal flow component, essentially reduces down to model 2, indicating that these fish exhibit no seasonal flow behavior. Since this model degenerated to model 2 (by 1 becoming very small) the fitting routine did not converge, and we were not able to calculate standard errors for the parameters. Model 7 (migration linearly related to fish length) explained close to 30% of the variability present in the simplest model. Model 8 (which adds a linear flow term to model 7) explains over 53% of the variability in model 1. For all these models, the standard errors were relatively small compared to the parameter values, indicating that the models are stable.

To further explore the variability in fall chinook travel times, we constructed a model to detect "year effects". To do this, we added a yearly offset to model 8, the flow and length model. For each year (after the first one) a constant migration rate is either added or subtracted to the intercept term (MIN). This "year effect" model (results not shown in the table) explained almost 76% of the variability in the model 1. Most of the explanatory ability for this model can be maintained by just adding an offset for 1995 (results shown). This reduced model had an R2 of 0.75 and had the 1995 cohorts travelling 3.75 miles/day faster than the other cohorts.

Discussion

Fall chinook have a more complex migratory behavior than spring chinook. Fall chinook tend to feed and grow as they migrate downstream, unlike spring chinook, which attain a larger size prior to migration and feed very little as they move downstream. As a result, it is much more difficult to model the travel times of fall chinook. In addition, their travel time distributions tend to be protracted, as evidenced by the large value for 2 compared to spring chinook and steelhead.

The results of this last model and the importance of fish length in the other models demonstrates that for fall chinook, fish condition is an important factor in determining travel times. Fall chinook appear to have a more flexible life history during outmigration (as compared to spring chinook). Individuals chose between downstream migration and delaying migration to feed. More complex models than we have presented might be required to describe the observed behavior.

The results of the "year-effects" model demonstrate year-to-year differences in summer/fall chinook behavior. This variability may be attributed to several possible causes: 1) differential composition (e.g., proportion of hatchery versus wild fish) of the stocks passing Rock Island Dam; or 2) differential river conditions (e.g., food availability).

A debate exists as to the importance of river flow for fall chinook travel times. Giorgi, et al. (1994) concluded that flow is not an important factor in determining travel times while Berggren and Filardo (1993) arrived at the opposite conclusion. Our results (models 2 and 8) indicate a slight flow effect based on the FLOW parameter and its relatively small standard error. With model 2, fish used approximately 35% of the river velocity, and this model accounted for only 25% of the variability present in the simple constant migration rate model.

References

Berggren, T.J., and M.J. Filardo. 1993. An analysis of variables influencing the migration of juvenile salmonids in the Columbia River basin. N. Amer. J. Fish. Manag. 13: 48-63.

Chapman, D., A. Giorgi, T. Hilman, D. Deppert, M. Erho, S. Hays, C. Peven, B. Suzumoto, and R. Klinge. 1994. Status of Summer/Fall Chinook Salmon in the Mid-Columbia River. Don Chapman Consultants, Boise, Idaho.

Giorgi, A.E., D.R. Miller, and B.P. Sanford. 1994. Migratory characteristics of juvenile ocean-type chinook salmon, Oncorhynchus tshawytscha, in John Day Reservoir on the Columbia River.


Home | Columbia R. DART | Status & Trends | Inseason Forecasts | Tools & Models | Research & Publications | Library | Site Map | Search
Please direct questions or comments to:
web@cbr.washington.edu
Columbia Basin Research,
School of Aquatic & Fishery Sciences,
University of Washington
Thursday, 03-Apr-2003 15:49:49 PST