modeling atlantic menhaden in support of nutrient and multispecies management in chesapeake bay
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Modeling Atlantic menhaden in support of nutrient and multispecies management in Chesapeake Bay. Mark J. Brush Robert J. Latour Elizabeth A. Canuel Virginia Institute of Marine Science College of William and Mary. Chesapeake 2000 calls for …. - PowerPoint PPT PresentationTRANSCRIPT
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Modeling Atlantic menhaden in support of
nutrient and multispecies management in Chesapeake Bay
Mark J. BrushRobert J. Latour
Elizabeth A. Canuel
Virginia Institute of Marine ScienceCollege of William and Mary
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Chesapeake 2000 calls for …
• Assessment of the potential impacts of filter feeders on bay water quality.
• Continued nutrient loading reductions
• A move towards multispecies, ecosystem-based management* These issues are linked by
the transfer of nutrient-fueled primary production up the
food chain via filter feeders such as Atlantic menhaden …
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Atlantic menhaden
PiscivoresOther forage spp.
PlanktonNutrients
Top-down
effects
Bottom-upeffects
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Menhaden-based food web:
striped bass bluefish weakfish
Atlantic menhadenbay anchovy
Approaches: • Ecopath with Ecosim• Bioenergetics
PHYTOPLANKTON ZOOPLANKTON
FISHING
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• Ecopath with Ecosim (EwE)
Types of Multispecies Models
• Multispecies Bioenergetics Models (MSBE)
• Multispecies Production Models (MSP)
• Multispecies Virtual Population Analysis
(MSVPA)
Latour, Brush & Bonzek (2003)Toward ecosystem-based fisheries
management: strategies for multispecies modeling and
associated data requirements.
Fisheries 28(9):10-22
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Ecopath
• Parameterization of an Ecopath model is based on satisfying two ‘master’ equations:
1) Production = catch + predation + net migration + biomass accumulation + other mortality2) Consumption = production + respiration + unassimilated food
• Master equations translate to:
Biomass of i
ji
n
jjjiiiiii DCBQBBAEYEEBPB
1
)/()/(
Total mortality
Ecotrophic efficiency
Yield
Net migration
Biomass accum
Biomass of predator j
Food consumed per unit biomass of predator j
Fraction of i in diet of j
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MSP MSVPA EwE MSBE
Age / size structure no yes yes yes
Biomass predictions yes yes yes yes
Data requirements low high high high
Mass / energy balance no no yes yes
Network analysis no no yes no
Number of species low intermediate high intermediate
Model output intermediate quantitative qualitative intermediate
Physiological information no no limited yes
Predictions with variable F yes yes yes yes
Spatial resolution no no possible possible
Taxonomic resolution species or groups
species species or groups
species
Temporal resolution annual annual annual daily
Why bioenergetics?
Source:Latour et al.
(2003)
Types of Multispecies Models
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Bioenergetics Approach
… piecing together environmental data and biological relationships
C
TEMPERATURE
R
TEMPERATURE
C
FOOD
GROWTHOR
LOSS
Example: Atlantic menhaden
INPUTSconsumption (C)
OUTPUTSrespiration (R)
feces (F)excretion (U)
specific dynamic action (S)
Growth = C – R – F – U – S
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MULTISPECIES BIOENERGETICS MODELS (MSBE)
Consumption IndividualWeight (W)
W
C
Respiration
W
R
T
Ractivity
multiplier
EgestionC * (1-assimilation
efficiency)Excretion
C * fraction excreted
Specific Dynamic ActionC * SDA coefficient
Predation
B
Ppredator
abundance
day
T
T
C
F
C
day
T
day
F
B
PopulationSize (N)Recruitment
Background mortality
Fishing mortality
C = Cmax * f(T) * p
Cmax = aWb
R = Rmax * f(T) * ACT
Rmax = aWb
Menhaden: Rippetoe (1993) Gottlieb (1998) Luo et al. (2001)
Bay anchovy: Luo & Brandt (1993)
Piscivores: Hartman & Brandt (1995)
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Estuarine Food Web
SmallPhytoplankton
LargePhytoplankton
Micro-Zooplankton
Meso-Zooplankton
MicrobialLoop
SeaNettles
CombJellies
FishLarvae
ForageFish
PredatoryFish
Cloern, J.E. 2001. “Our evolving conceptual model
of the coastal eutrophication problem”
Mar Ecol Prog Ser 210:223-253
Nutrients
Climate
?
?
Fishing?
Systems-level process models
Why bioenergetics?
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MULTISPECIES BIOENERGETICS MODELS (MSBE)
Individual models for:
Menhaden Juveniles Age-0 Adults Age-1 Age-2 Age-3 Age-4 Bay anchovy Juveniles Age-0 Adults Age-1 Striped Bass Juveniles Age-0 Residents Age-1 Age-2 Age-3 Age-4 Migrants Age-5 Weakfish Juveniles Age-0 Adults Age-1 Age-2 Bluefish Juveniles Age-0 Adults Age-1 Age-2
Population models for:Menhaden Juveniles
Menhaden Adults
Bay anchovy
Striped Bass Juveniles
Striped Bass Residents
Striped Bass Migrants
Weakfish JuvenilesWeakfish Adults
Bluefish JuvenilesBluefish Adults
Groups in EwE model:
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Starting point: Individual Bioenergetics Modelsfor each Species & Age-Class
2:44 PM Wed, Aug 13, 2003
0.00 182.50 365.00 547.50 730.00
Days
1:
1:
1:
2:
2:
2:
0.00
20.00
40.00
1: Wind[Men0] 2: vBavg[Men0]
1
1
1
1
2
2
2
2
growth: p1 (Untitled)
Age-0 Menhaden
modelaveragetrajectory
2:44 PM Wed, Aug 13, 2003
0.00 182.50 365.00 547.50 730.00
Days
1:
1:
1:
2:
2:
2:
3:
3:
3:
4:
4:
4:
0.00
200.00
400.00
1: Wind[Men2] 2: vBavg[Men2] 3: vBmax[Men2] 4: vBmin[Men2]
1
1
1
1
2
2
2
2
3
3
3
3
44
44
growth: p3 (Untitled)
Age-2 Menhaden
min & max
trajectories
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MULTISPECIES BIOENERGETICS MODELS (MSBE)
Age-specific individual models
Average rates for each species/group
Population-level biomass models
Predator consumption
Fishing Mortality(limited to season)
Non-predation, natural mortality
Diet compositionor
foraging model
Prey loss
Modified byco-occurrence
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• In Ecosim, this density-dependent effect is modeled as:
Ft =QREt/[1+(QR-1)Bt/Bo] where QR=qmax/qo
is the specified catchability increase ratioBt = stock biomass at time t Bo = Ecopath base biomass
Model calibration – Ecosim• Menhaden QR = 3.50
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Some Key Limitations
• Need Bay-specific stock assessments for:- abundance- biomass- fishing mortality (F)
• Need to refine menhaden feeding ecology
Current CBP study
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Objective 1:Menhaden Stock Assessment
• R. Latour in collaboration with S. Martell and NMFS Beaufort Lab
• MDDNR and VIMS seine survey data (juveniles)• Fisheries-independent trawl data (adults)• Bay-specific landings • Simple biomass-based (e.g. surplus production) models • More complex age-structured models (e.g. VPA, catch-at-age, etc.) • As much spatial and seasonal resolution as possible
Timing: Year 1, with updates in Years 2-3
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MDupper
MDmid
MDlower
VAlower
VAupper
PatuxentRiver
PotomacRiver
RappahannockRiver
YorkRiver
JamesRiver
MDupper
MDmid
MDlower
VAlower
VAupper
PatuxentRiver
PotomacRiver
RappahannockRiver
YorkRiver
JamesRiver
MDupper
MDmid
MDlower
VAlower
VAupper
PatuxentRiver
PotomacRiver
RappahannockRiver
YorkRiver
JamesRiver
Objective 1:Menhaden Stock
Assessment
Goals:
• Age Resolution – by year class
• Temporal Resolution:AnnualSeasonalMonthly (?)
• Spatial Resolution:BaywideSpatial elements
• Output: Abundance, biomass, & F
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Objective 2:Feeding & Diet Study
• Stable isotopes in field-caught fish and prey sources:
- size-fractionated plankton, SAV & Spartina detritus
- long-term, integrated diet composition
• Expt 1: Diet selectivity• Expt 2: Functional response (consumption vs. food conc.)• Expt 3: Density dependence (consumption vs. fish density)• Expt 4: Excretion rate
Timing: Years 1-2
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Menhaden Feeding Experiments
1. Starvation period (48 hours, 1 m filtered water)
2. Sample 3 fish stomachs to confirm guts are empty
3. Early A.M. - Fill tanks (n=20) with raw seawater from pier - Collect samples for size-fractionated Chl-a & CHN, TSS (pre- and post-combustion), particle size distribution, size-fractionated isotopes, and lipids
4. Expt start: place fish in tanks (1 per tank)
5. Expt end: collect samples from each tank for … - Size-fractionated Chl-a & CHN, TSS (pre- and post-combustion), particle size distribution
? Decide on expt duration & mid-point sampling
- Stomach contents- microscopic ID
- stable isotopes- lipid biomarkers
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Pilot Experiments
0
2
4
6
8
10
12
14
16
18
20
t0 t10 t20 t30 t40 t50 t60
TIME, minutes
CHL-
a ,
mg m
-3
1 23 45 67 89 10Control
Tank:
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2002 CBP Suspension Feeder Workshop
• Research and monitoring• Basic consumption estimates• Management-relevant intermediate complexity models• Application of the 3-D water quality model
… called for a multi-faceted approach to estimating the
effects of suspension feeders on water quality …
Thisproject
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Objective 3:Basic Consumption Estimates
• Individual daily rations (literature – seasonal variations)• Stock assessment (annual, seasonal, and regional abundance)• Planktonic food supply (Brush et al., C. Buchanan)
Timing: Year 1
0.0
0.4
0.8
1.2
1.6
J F M A M J J A S O N D
g C
m-3
PC
phyto-plankton detritus
microzooplankton mesozooplankton
a.
0.0
1.0
2.0
3.0
J F M A M J J A S O N D
g C
m-3
b.
ug/L2
30
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MDupper
MDmid
MDlower
VAlower
VAupper
PatuxentRiver
PotomacRiver
RappahannockRiver
YorkRiver
JamesRiver
MDupper
MDmid
MDlower
VAlower
VAupper
PatuxentRiver
PotomacRiver
RappahannockRiver
YorkRiver
JamesRiver
MDupper
MDmid
MDlower
VAlower
VAupper
PatuxentRiver
PotomacRiver
RappahannockRiver
YorkRiver
JamesRiver
Objective 3:Basic Consumption
Estimates
Goals:
• Age Resolution – by year class
• Temporal Resolution:AnnualSeasonalMonthly (?)
• Spatial Resolution:BaywideSpatial elements
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Objective 4:Multi-Layered MSBE & EwE Modeling
Timing: Years 1-2
• Refine with stock assessment and experimental results• Force plankton concentrations• Daily, seasonal, & annual consumption, N cycling, and N export
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Objective 4:Multi-Layered MSBE & EwE Modeling
Timing: Years 1-2
• Add dynamic feedbacks with plankton populations
• Effect of menhaden cons. & excr. on plankton biomass & productivity• Fraction of menhaden yield supported by Bay production• Run over range of menhaden biomass & nutrient loading
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Objective 4:Multi-Layered MSBE & EwE Modeling
Timing: Years 1-2
• Coupling to piscivores; full MSBE development
• Role of menhaden as a forage base• Effect of fisheries management scenarios
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Objective 4:Multi-Layered MSBE & EwE Modeling
Timing: Years 2-3
• Full coupling
• Simultaneous impact of multiple stressors (a la Cloern 2001)• Indirect effects• Comparison of nutrient and fisheries mgmt effects on menhaden yield & control of water quality
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Objective 5:Comparison of Menhaden, Zooplankton,
Oyster, and Clam Filtration
Timing: Year 3
• Add zooplankton, oyster, and clam information to MSBE and EwE models
• Run for different regions of the Bay