juvenile salmon survival in coastal waters of the northeast pacific ocean: top-down or bottom-up...
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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
Research Funded by GLOBEC
Why juveniles?
From: Pearcy W.G. 1992. Ocean Ecology of North Pacific Salmonids.
Early ocean life is the most “critical” time for a
year class
Juvenile Salmon
Upper Trophic Levels
Top-down
Lower Trophic Levels
Bottom-up
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
Total Biomass B(t)
Fish Weight W(t)
Number of Fish N(t)
B(t)
Natural mortality
Stochastic elimination
Cannibalism
Temporal migrations
Temperature
Salinity Light Dissolved oxygen
Predation
Trophic demands
Initial number, N0
Competition
Food availability
Initial weight, W0
Maximum weight, Wmax
ResourcesTrophic coefficient,
kT
Y
W(t)N(t)
Anthropogenic effect
N(t) W(t)
Bottom-upTop-down
0
1000
2000
3000
4000
5000
6000
0 200 400 600 800
Time, days
Wei
ght,
gram
s
Modeling individual growth
tkQ
0
0max
max
T1eW
WW1
W)t(W
W0 – initial weight of fish
Wmax– maximal weight of fish
Q1 – buffer coefficient
kT – trophic coefficient
t – time
Juvenile stage
Modeling fish abundance
)tYQexp(N)t(N 20
N0– initial number of fish Y – additive loss Q2– buffer coefficient t – time
0.00
200.00
400.00
600.00
800.00
1,000.00
0 200 400 600 800
Time, days
# of
fish
•Fish abundance
•Fish weight
Coho salmon
•Trophic demands
•Abiotic preferences
1999 – 2002May, June, September
•Temperature
•Salinity
Model simulations
Indiv
idual
wei
ght
Number of fish
Total biomass
0 45 90 135 180Days
Sensitivity analysis
• Vary the values of different parameters
• Record the response of the juvenile salmon
• Determine the most important factors
0 45 90 135 180Days
effect of variations in predation on total biomass
150000
75627
1255
Total Biomass
1:Predation=0.03 2:Predation=0.035 3:Predation=0.04 4:Predation=0.045 5:Predation=0.05
Model predictions
0 45 90 135 180
Total Biomass
Model predictionseffect of variations in trophic coefficient on total
biomass
150000
75627
1255
Days
1:Trophic coefficient=1 2:Trophic coefficient=0.95 3:Trophic coefficient=0.9 4:Trophic coefficient=0.85 5:Trophic coefficient=0.8
Growth of juvenile coho salmon
0
100
200
300
400
500
600
May Jun Sep
Month
Fis
h W
eig
ht
(g)
1999
2000
2001
2002
Abundance of juvenile coho salmon
01020304050607080
May June Sep
Month
# fi
sh c
aug
ht
per
day
1999
2000
2001
2002
2.5%
4%
2%
3.5%
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
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
Research priority
Study predators
•Abundance
•Food habits
•Feeding rates