Title: All you can eat
1All you can eat?
Center for Marine and Atmospheric Research -
University of Hamburg -
Super Size Me!
Defining prey fields mechanistic limits to food
consumption in larval fish IBMs An example for
sprat (Sprattus sprattus) in the North Sea. Ute
Daewel Myron A. Peck, Miriam Dickmann, Wilfried
Kühn, Mike St. John, Corinna Schrum
2Outline
3Introduction
- Spatial and temporal variability in fish vital
rates depend on - abiotic factors (e.g., temperature, advective
velocity, turbulence, light level) - biotic factors (e.g., prey size and
availability)
Prey field generation Observed-Modelled
4Development of Mechanistic IBM Foraging and
Growth Subroutines
FEEDING LARVAE
Light?
F(prey type,prey density)
5Observed prey fields
Video plankton recorder
Advantages Size- species-resolved prey fields
information about patchiness Disadvantages s
napshot in time and space
6Model-generated prey fields
Ecosystem model ECOSMO (Schrum et al. 2005) 1.
April 31. September 1990
7Prey fields
Zooplankton biomass mgC/m³ ? ind./m³
Prey length range 150-1000 µm ? Increment 10 µm
8Sensitivity analysis (Variability of prey size
distribution)
9Spatial variability (monthly mean 1993)
10Part 2
- Spatial and temporal variability in fish vital
rates depend on - abiotic factors (e.g., temperature, advective
velocity, turbulence, light level) - biotic factors (e.g., prey size and
availability)
Strategies to handle overfeeding in complex
IBMs
11Results from IBM Sensitivity analysis
(Individual Parameter Pertubation)
Parameters tested
a angle of visual acuity CS capture
success HT handling time ss swimming speed
Cmax maximum consumption
Rs standard metabolism k activity
multiplier SDA specific dynamic action ae
assimilation efficiency
12Limit to prevent over-feeding within models
Approach 1 GCmax Maximum Consumption
(Cmax) Werner et al. 1996, Letcher et al. 1996,
Daewel et al. Submitted Maximum Growth
(Gmax) Hinrichsen et al. 2002 Fiksen and
Folkford 1999
Approach 2 GER Gut Content Evacuation Lough
et al. 2005
Approach 3 AE Assimilation Efficiency Reglero
2003
13Approach 1 GCmax - Non-mechanistic limit to
prevent over-feeding
14Approach 1 GCmax - Cmax from bioenergetic
balance with known growth rates
CmaxA GR (RR RSDA RA)
G estimates (from field otoliths)
15Approach 2 GER - Mechanistic limitation I gut
evacuation rate
16Approach 3 AE - Mechanistic limitation
(assimilation efficiency)
Assimilation efficiency F (larval length,
relative ingestion, temperature)
17Results (simulated consumption and growth)
T15C Zoopl. Biomass100 mgC/m³
104
103
102
100
Food consumption rate (mg d-1)
10
1.0
0.1
4
6
8
10
12
14
16
18
20
22
larval length (mm)
18Prey patchiness
Growth at 15 mm SL
GCmax
GER
AE
19Prey patchiness
- Thin layer of zooplankton
- depth changes with time
Holiday et al. thin layers program
20Prey patchiness
- Super Tool Components
- Remoted operated vehicle (ROV)
- Sensors for measuring
- conductivity, temperature, pressure
- flourescence
- light
- turbidity
- oxygen
- current
- primary production
- Most importantly for furthering IBM modeling,
camera system for resolution of - Zooplankton species distributions
- patchiness
- Species interactions
21Conclusions and Recommendations
- Summary
- Part 1
- Foraging and growth IBM subroutines (larval
sprat, T, prey) - VPR prey fields ? resolving patchiness, species
and size distribution - NPZD-derived prey fields ? continuous, long-term,
large spatial scales - Model sensitivity I ? size spectrum, small prey
thresholds
- Part 2
- Comparison of 3 approaches employed to
prevent over-feeding - Assimilation efficiency method ? patchy
prey environments
Recommendations IBMs with complex foraging
subroutines should strive to incorporate
realistic prey fields (e.g., VPR - OPC - ROV)
that resolve prey patchiness.
These IBMs should also employ physiologically-bas
ed limits to energy assimilation.
Using NPZD model estimates to generate prey
fields has the advantage of incorporating
climate-driven changes in prey abundance and
distribution.
Other (stage-based) prey field model approaches
are also being advanced.
22Thank you!
Questions?