1 / 34

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 Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader Idaho Department of Fish and Game. Viable Salmonid Population Parameters.

landis
Download Presentation

Tim Copeland Matthew Campbell, Christine Kozfkay, and Bill Schrader

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. 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

  2. Viable Salmonid Population Parameters • Abundance • How many of them are there? • Productivity • How well do they reproduce & survive? • Spatial structure • Where are they? • Diversity • What are they like?

  3. Abundance & Productivity • 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 (10 yr geomean) 5% extinction risk A 25% extinction risk B Productivity (geomean R/S)

  4. Challenges for Snake River Steelhead • Data collection during spawning is very difficult • Status assessments used aggregate data & habitat models from outside DPS

  5. “A-run” versus “B-run” “A-run” steelhead Grand Ronde River “B-run” steelhead S.F. Clearwater

  6. Genetic Stock Identification • Characterize allele frequencies from contributing stocks • Genotype mixed sample • Estimate stock proportions from genetic baseline

  7. 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

  8. METHODS

  9. GENETIC BASELINE • 66 sample collections • 9 geographic groups • 1) Elk Creek (Joseph) • 2) Snake/Lower Clearwater • 3) South Fk Clearwater • 4) Upper Clearwater • 5) Imnaha • 6) Lower Salmon • 7) South Fk Salmon • 8) Middle Fk Salmon • 9) Upper Salmon

  10. 2008 Adult Sampling at Lower Granite Dam • Wild steelhead only! • Aug 24 – Nov 25 • Scales taken, length recorded • 13 microsatellite loci from standard set • Genetic sex marker

  11. Mixture Analyses • 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

  12. RESULTS

  13. 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

  14. Age composition(n = 992)

  15. Genetic Stock Composition N = 20,078 A B B A A B B A A

  16. By Sex Female Male

  17. By Length

  18. By Total Age (3 or less)

  19. By Total Age (4)

  20. By Total Age (5 or greater)

  21. By Total Age (5 or greater)

  22. By Run-Timing (Early)

  23. By Run-Timing (Middle)

  24. By Run-Timing (Late)

  25. By Run-Timing (Early)

  26. By Run-Timing (Middle)

  27. By Run-Timing (Late)

  28. MAJOR FINDINGS

  29. Stock Contribution • 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

  30. Sex Composition • Females comprise 2/3 of adult steelhead • Female-biased sex ratios may result from: • Males residualize more than females • Females may be more iteroparous • Dams & long migration reduces successful iteroparity • No population effects = widespread male residualization?

  31. “A-run” versus “B-run” • 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

  32. 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

  33. 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

More Related