tim copeland matthew campbell, christine kozfkay, and bill schrader

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Estimating Viable Salmonid Population Parameters for Snake River Steelhead using Genetic Stock Identification of Adult Mixtures at Lower Granite Dam Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader Idaho Department of Fish and Game

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Estimating Viable Salmonid Population Parameters for Snake River Steelhead using Genetic Stock Identification of Adult Mixtures at Lower Granite Dam. Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader Idaho Department of Fish and Game. Viable Salmonid Population Parameters. - PowerPoint PPT Presentation

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Page 1: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

Estimating Viable Salmonid Population Parameters for Snake River Steelhead using Genetic Stock Identification of Adult Mixtures

at Lower Granite Dam

Tim CopelandMatthew Campbell, Christine Kozfkay, and Bill Schrader

Idaho Department of Fish and Game

Page 2: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

Viable Salmonid Population Parameters

• AbundanceAbundance• How many of them are there?How many of them are there?

• ProductivityProductivity• How well do they reproduce & How well do they reproduce &

survive?survive?• Spatial structureSpatial structure

• Where are they?Where are they?• DiversityDiversity

• What are they like?What are they like?

Page 3: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

•Abundance is a primary status metric•Salmon/steelhead = number of spawning adults

•Productivity = abundance x age comp. through time•Combination measures population resiliency

•Necessary for sustainable harvest•Necessary for conservation of weak stocks & biodiversity

Abundance & Productivity

Productivity (geomean R/S)

5% extinction risk

25% extinction riskA

B

Page 4: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

•Data collection during spawning is very difficult•Status assessments used aggregate data & habitat models from outside DPS

Challenges for Snake River Steelhead

Page 5: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

“A-run” versus “B-run”

Stock Ocean

ResidenceTiming over Bonneville

Size at return Distribution

A-run Usually 1 yr June - Aug < 78 cmTucannon, Grand Ronde, Imnaha, low elevation tribs of Clearwater

& Salmon, upper Salmon

B-run Usually 2 yrs Sept - Oct > 79 cmNorth & South Fk Clearwater, Lochsa , Selway, SFSR, MFSR

“A-run” steelhead Grand Ronde River

“B-run” steelhead S.F. Clearwater

Page 6: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

•Characterize allele frequencies from contributing stocks•Genotype mixed sample•Estimate stock proportions from genetic baseline

Genetic Stock Identification

Page 7: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

Strategy• Sample aggregate at Lower Granite Dam

(numbers & age composition)• Use genetic stock identification• Develop data suitable for VSP assessments

(abundance & productivity)• Address A vs B dichotomy

Page 8: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

METHODS

Page 9: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

GENETIC BASELINE

•66 sample collections

•9 geographic groups

1) Elk Creek (Joseph)2) Snake/Lower Clearwater3) South Fk Clearwater4) Upper Clearwater5) Imnaha6) Lower Salmon7) South Fk Salmon8) Middle Fk Salmon9) Upper Salmon

Page 10: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

Wild steelhead only!

•Aug 24 – Nov 25•Scales taken, length recorded•13 microsatellite loci from standard set•Genetic sex marker

2008 Adult Sampling at Lower Granite Dam

Page 11: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

•Proportion by group estimated with ONCOR

For the entire wild run (all samples)

By sex (male and female)

By size (fork length <78 cm or >78 cm)

By run-timing (early, middle, late)

By total age (3, 4, and 5 year olds)

• 95% bootstrap confidence interval

Mixture Analyses

Page 12: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

RESULTS

Page 13: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

Lower Granite Dam Sampling• Sample period missed first 13% of run• 46% unclipped fish were hatchery-origin• 20,078 wild fish• 992 aged, 1,076 genotyped• 65.7% genetically female

Page 14: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

Age composition(n = 992)

Ocean Age

Freshwater age

X 1 2 3 4 5

1 13 5 180 204 27 1

2 35 2 286 168 25 0

3 5 0 20 20 1 0

Page 15: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

Genetic Stock CompositionN = 20,078

AB

A

AA AB

B B

Page 16: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

1.0%

35.7%

8.2%

15.9%

8.6%

15.8%

3.5%5.0% 6.4%

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

0.0%

37.2%

6.4%

14.5%11.0% 10.8%

1.1%

5.5%

13.7%

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

By Sex

Female

Male

Page 17: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

By Length

Page 18: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

0.24%

46.90%

0.59%4.26%

21.58%

7.80%

1.07%2.36%

15.19%

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

By Total Age (3 or less)

Page 19: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

0.61%

41.37%

8.29%

15.03%9.51%

11.71%

0.22%4.58%

8.65%

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

By Total Age (4)

Page 20: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

0.74%

19.74%

11.14%

22.96%

3.27%

19.54%

8.20% 9.88%4.52%

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

By Total Age (5 or greater)

Page 21: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

0.74%

19.74%

11.14%

22.96%

3.27%

19.54%

8.20% 9.88%4.52%

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

By Total Age (5 or greater)

Page 22: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

0.7%

34.3%

2.9%

10.2% 10.8%

18.1%

2.8%

9.6% 10.7%

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

By Run-Timing (Early)

Page 23: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

0.7%

35.2%

9.8%

17.2%

8.8%13.2%

3.0% 3.3%

8.8%

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

By Run-Timing (Middle)

Page 24: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

0.0%

43.5%

14.0%

24.6%

8.8%1.8%

0.0% 1.9%5.4%

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

By Run-Timing (Late)

Page 25: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

0.7%

34.3%

2.9%

10.2% 10.8%

18.1%

2.8%

9.6% 10.7%

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

By Run-Timing (Early)

Page 26: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

0.7%

35.2%

9.8%

17.2%

8.8%13.2%

3.0% 3.3%

8.8%

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

By Run-Timing (Middle)

Page 27: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

0.0%

43.5%

14.0%

24.6%

8.8%1.8%

0.0% 1.9%5.4%

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

By Run-Timing (Late)

Page 28: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

MAJOR FINDINGS

Page 29: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

•Genetic groups did not conform with TRT population structure

•Majority from 3 stocks (65%):

•Snake/Lower Clearwater, Upper Clearwater, Lower Salmon

•Grand Ronde likely lumped with Snake/Lower Clearwater

•Two large areas of good habitat have poor representation

•Middle Fk Salmon & South Fk Salmon

Stock Contribution

Page 30: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

•Females comprise 2/3 of adult steelhead

•Female-biased sex ratios may result from:

1. Males residualize more than females

2. Females may be more iteroparous

•Dams & long migration reduces successful iteroparity

•No population effects = widespread male residualization?

Sex Composition

Page 31: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

•Length conformed with A/B expectations

•Salmon River B stocks return over Lower Granite earlier

•Lower Salmon stock has older age comp than other A-runs

•All stocks produce smaller/younger & larger/older adults

•A/B dichotomy masks important diversity for conservation

“A-run” versus “B-run”

Page 32: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

Summary

First time Snake River steelhead abundance estimated at the stock/population level

This approach provides information relevant to VSP criteria

Abundance

Age composition

Sex ratio

Genetic diversity

Life history diversity

Page 33: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

Future•Improve baseline

•Better resolution within some groups (e.g., Lemhi R)•Coverage needed in some areas (e.g., Grand Ronde) •Resolve differences with TRT population structure?•Annual maintenance sampling

•Sample entire adult run•Transition to SNPs•Include smolt sampling at Lower Granite Dam

Page 34: Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader