Download presentation
Presentation is loading. Please wait.
Published byFaith McIntyre Modified over 11 years ago
1
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
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
Juvenile Salmon Upper Trophic Levels Top-down Lower Trophic Levels Bottom-up
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
Total Biomass B(t) Fish Weight W(t) Number of Fish N(t)
8
B(t) Natural mortality Stochastic elimination Cannibalism Temporal migrations TemperatureSalinityLightDissolved oxygen Predation Trophic demands Initial number, N 0 Competition Food availability Initial weight, W 0 Maximum weight, W max ResourcesTrophic coefficient, k T Y W(t) N(t) Anthropogenic effect N(t) W(t) Bottom-up Top-down
9
Modeling individual growth W 0 – initial weight of fish W max – maximal weight of fish Q 1 – buffer coefficient k T – trophic coefficient t – time Juvenile stage
10
Modeling fish abundance N 0 – initial number of fish Y – additive loss Q 2 – buffer coefficient t – time
11
Fish abundance Fish weight Coho salmon Trophic demands Abiotic preferences 1999 – 2002 May, June, September Temperature Salinity
12
Model simulations Individual weight Number of fish Total biomass 045 90 135 180 Days
13
Sensitivity analysis Vary the values of different parameters Record the response of the juvenile salmon Determine the most important factors
14
045 90 135 180 Days 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
15
045 90 135 180 Total Biomass Model predictions effect 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
16
Growth of juvenile coho salmon
17
Abundance of juvenile coho salmon 2.5% 4% 2% 3.5%
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
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.