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Technical Memo #2 Simulating Fall Redistribution and Overwinter Survival of Klamath River Coho

Cramer Fish Sciences. Technical Memo #2 Simulating Fall Redistribution and Overwinter Survival of Klamath River Coho. Nicklaus K. Ackerman Steve Cramer. Tech Memo 2. Purpose Present an approach to simulate fall redistribution and overwinter survival of coho in the Klamath Basin. Approach

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Technical Memo #2 Simulating Fall Redistribution and Overwinter Survival of Klamath River Coho

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  1. Cramer Fish Sciences Technical Memo #2Simulating Fall Redistribution and Overwinter Survival of Klamath River Coho Nicklaus K. Ackerman Steve Cramer

  2. Tech Memo 2 Purpose • Present an approach to simulate fall redistribution and overwinter survival of coho in the Klamath Basin. Approach • Klamath data for this portion of the life-cycle were limited. We outlined an approach based largely on information presented in peer reviewed and gray literature.

  3. Tech Memo 2

  4. Fall Redistribution Estuary - Trinity

  5. Fall Redistribution Coho Catch at the Big Bar Trap in Fall 2005

  6. Fall Redistribution 365 1,717 11K 45K 39K 1,389 44 260 302

  7. Fall Redistribution How Do We Simulate Fall Redistribution with limited information? We reviewed literature to find studies that presented data that would provide insight into the proportion of coho populations that move to or from tributaries during fall freshets. • Ebersole et al. (2006) • Rodgers et al. (1987) • Moring and Lantz (1975) • Peterson (1982) Transferability? Effects of Assumptions?

  8. Fall Redistribution We concluded that typically 3-11% of coho emigrate from tributaries to larger streams. Maximum range from literature reviewed was 0-38%. • Percent emigrating from a given reach partly dependent on habitat quality of that reach. We also concluded that 3-16% of the population in each mainstem Klamath reach would move into each nearby or downstream tributary. • Total exit rate from the mainstem would be 88-99% because of high number of tributaries available for overwinter rearing.

  9. Overwinter Survival Simulate overwinter survival in each reach of the model with a hockey-stick stock-recruitment function Proposed Approach: K Predicted using habitat data and habitat-based capacity model Hypothetical Population α = 0.45 K = 50,000

  10. Overwinter Survival – α Value Standard α value for tributaries based on review of overwinter survival rates by Lestelle (2007). Assigning an α value to each reach: Chose rate high among those reported by Lestelle under assumption that this would be most likely to reflect density independent survival. Baseline is similar to 3-year average survival for McGarvey Creek in lower Klamath Baseline α

  11. Overwinter Survival – α Value We proposed to scale the Tributary reach α to account for habitat quality. The mainstem Klamath was assumed to be less suitable for winter rearing than tributary reaches due to confinement and lack of wood for cover. Predictions of habitat capacity would be used to assign reaches high, moderate, or low quality scalars.

  12. Why Assume Lower Survival in Mainstem?

  13. Simulating Effect of Size on Winter Survival Why Bother? Flow management in the mainstem affects river temperatures for a portion of the river. Temperature affects growth which determines fish size entering winter. Size entering winter affects overwinter survival. Allows us to connect effect of alternative flow operations on river temperature to relative changes in survival of fish rearing the summer in the mainstem.

  14. Simulating Effect of Size on Winter Survival

  15. Simulating Effect of Size on Winter Survival Bioenergetics modeling by Sullivan et al. (2000) suggests what relative effect of maximum summer temperatures on size is. Model assumed equal initial fish sizes, feeding ration, and density were equal. Extrapolation of Sullivan’s findings suggested that temperature alone may reduce fall size from 4.1 to 2.6g When MWAT increases from 12.5 to 22.5oC. Length weight relationships for coho indicate this is a 10mm reduction inlength.

  16. Simulating Effect of Size on Winter Survival Bioenergetics modeling shows that food rations partly determine how coho growth will respond to temperature. Higher food availability increases the tolerance fish have towards higher temperatures and shifts optimal growth to a higher temperature. Higher rations exaggerate differences in size that may be observed at a given temperature. From Sullivan et al. (2000)

  17. Simulating Effect of Size on Winter Survival Conclusions on Summer Temperature Effect on Winter Survival:Survival of fish 60mm is 39% of fish 100mm in length.MWATs ranging from 12.5-22.5 may reduce end of summer length by 10mm.10mm Reduction in length equals a 15% reduction in winter survival.

  18. Coho Young-of-Year in 2003

  19. Tech Memo 2

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