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Juvenile salmon survival in coastal waters of the Northeast Pacific Ocean: top-down or bottom-up control?

Research Funded by GLOBEC. Juvenile salmon survival in coastal waters of the Northeast Pacific Ocean: top-down or bottom-up control?. Vladlena Gertseva, Thomas Wainwright, Vladimir Gertsev October 19, 2004 PICES XIII Annual Meeting. Why juveniles?.

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Juvenile salmon survival in coastal waters of the Northeast Pacific Ocean: top-down or bottom-up control?

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  1. Research Funded by GLOBEC Juvenile salmon survival in coastal waters of the Northeast Pacific Ocean: top-down or bottom-up control? Vladlena Gertseva, Thomas Wainwright, Vladimir Gertsev October 19, 2004 PICES XIII Annual Meeting

  2. Why juveniles?

  3. From: Pearcy W.G. 1992. Ocean Ecology of North Pacific Salmonids.

  4. Early ocean life is the most “critical” time for a year class

  5. Upper Trophic Levels Top-down Bottom-up Lower Trophic Levels Juvenile Salmon

  6. Research objectives • Summarize knowledge on juvenile salmon interactions in coastal oceanic waters • Develop a mathematical model of juvenile salmon dynamics • Identify processes controlling the survival of juvenile salmon

  7. Number of Fish N(t) Fish Weight W(t) Total Biomass B(t)

  8. Top-down Bottom-up N(t) Initial weight, W0 W(t) Initial number, N0 Maximum weight, Wmax Y Trophic coefficient, kT Resources Competition Anthropogenic effect B(t) N(t) W(t) Natural mortality Stochastic elimination Food availability Temporal migrations Trophic demands Cannibalism Predation Temperature Salinity Light Dissolved oxygen

  9. Juvenile stage Modeling individual growth W0 – initial weight of fish Wmax– maximal weight of fish Q1 – buffer coefficient kT – trophic coefficient t – time

  10. Modeling fish abundance N0– initial number of fish Y – additive loss Q2– buffer coefficient t – time

  11. Coho salmon 1999 – 2002 May, June, September • Fish abundance • Fish weight • Temperature • Salinity • Trophic demands • Abiotic preferences

  12. Individual weight Total biomass Number of fish 90 180 Days 0 45 135 Model simulations

  13. Sensitivity analysis • Vary the values of different parameters • Record the response of the juvenile salmon • Determine the most important factors

  14. Model predictions effect of variations in predation on total biomass Total Biomass 150000 1:Predation=0.03 2:Predation=0.035 3:Predation=0.04 4:Predation=0.045 5:Predation=0.05 75627 1255 90 180 0 45 135 Days

  15. Total Biomass 90 180 0 45 135 Model predictionseffect of variations in trophic coefficient on total biomass 150000 1:Trophic coefficient=1 2:Trophic coefficient=0.95 3:Trophic coefficient=0.9 4:Trophic coefficient=0.85 5:Trophic coefficient=0.8 75627 1255 Days

  16. Growth of juvenile coho salmon

  17. Abundance of juvenile coho salmon 3.5% 2.5% 4% 2%

  18. Conclusions • Juvenile salmon biomass in the coastal waters is primarily defined by variations in activity at upper trophic levels rather than lower ones • Juvenile salmon survival is primarily controlled by a top-down, but not a bottom-up mechanism in the nearshore oceanic ecosystem

  19. Theoretical implications • Provides a theoretical insight into complicated relationships between juvenile salmon and their environment • Enables a simultaneous study of both upper and lower trophic level effects • Sets the range of data necessary for studying the survival of juvenile salmon • Defines future research priorities

  20. Research priority • Study predators • Abundance • Food habits • Feeding rates

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