The bioenergetic efficiency of juvenile Chinook salmon feeding strategies during a drought in the San Joaquin River California Taylor Spaulding Justin SullivanGetty Images John Walker Fresno Bee Staff Photo ID: 636616
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Slide1
How To Survive A Drought
The bioenergetic efficiency of juvenile Chinook salmon feeding strategies during a drought in the San Joaquin River, CaliforniaTaylor Spaulding
Justin Sullivan/Getty Images
John Walker — Fresno Bee Staff PhotoSlide2
OutlineProblem
MechanismQuestionOrganismHypothesis and Predictions
VariablesMain Factors
Main Effects
ConsiderationsExperimental Design & Sampling
HabitatPrey
Salmon
Modeling
Statistics and TestingInterpretation and DeliverablesSlide3
ProblemMechanism
Salmonids can employ two different strategies when feeding, Drift (A) and Benthic (B) foragingDrift = ambush
Usually more efficient, allowing energy to be conserved and net energy intake optimizedBenthic = searching
Usually, less efficient, requires actively swimming and searchingSlide4
Bioenergetic
modeling of salmon only includes drift foraging; assumed to always be more efficientEfficiency of drift foraging is dependent on many factors:TemperatureTurbidity
VelocityPrey availability and qualityInfluenced by velocity
Predation riskC
ompetitive exclusionDrought conditions in rivers may lessen the efficiency of drift foraging
Increased temperaturesDecreased prey availability/quality
Increased competition and predation risk due to habitat loss
Problem
MechanismSlide5
Is the inclusion of benthic foraging a more efficient feeding strategy during drought conditions; optimizing net energy intake?
Are observed patterns of growth in salmon reared during a drought consistent with estimates produced with models inclusive of both strategies?
Problem
QuestionSlide6
Chinook Salmon (Onchorhyncus tschawytschaRear in freshwater from approximately January until May/June
Small, approximately 30mm to 120mm (~1”- ~4.7”)Eat invertebrates such as flies (dipterans), caddisflies (trichopterans), mayflies (ephemeropterans), Mites (Hydracarina), and Zooplankton (Daphnidae,
Amphipoda, Copepoda)
Problem
OrganismSlide7
Hypotheses and Predictions
H
0.1
: Models of drift feeding behavior of juvenile Chinook Salmon will not produce significantly different
estimates of growth
rates from those observed in nature or from models which
also include
benthic feeding
.
HA1: Models that include benthic and drift feeding strategies will produce growth rate estimates that are significantly greater than growth rates produced in models of only drift feeding.H
A2: Models that include benthic and drift feeding will produce growth rate estimates that are not significantly different from observed growth rates within the natural populationSlide8
Variables
Main Factors affecting foraging efficiencyWater temperature Prey Quality (Metcalfe et. al. 1999)
Prey Quantity (Metcalfe et. al. 1999)
Water velocity (Shirvell 1994)
Turbidity (Gregory & Northcote 1993 & DeYoung 2007)
Competition (Nakano 1995)
Predation risk
(Gregory & Northcote 1993)
Habitat characteristics (cover/refugia)
Main Effect of foraging efficiencyIncreased rates of growthConsiderations
Habitat characteristics (vegetation, substrate, temperature, and water velocity) can affect prey assemblagesSlide9
Experimental Design & SamplingHabitat
Figure 3: Map of San
JOaquin
Restoration Area from SJRRP (2011) showing locations of study sites
Figure 4 Schematic of Sampling design.
Solid Lines denote transects
DOTS
ON TRANSECT 3 REPRESENT NODES FOR SAMPLING OF WATER VELOCITY AND SUBSTRATE
Hollow boxes denote sampling stations
filled Boxes represent randomized sample site for benthic samples.
Four 100m study sites spaced along Restoration reaches 1A and 1B
Reaches divided into 10m transects
Recorded water velocities, temperatures, substrate classes, turbidity, and dissolved
o
xygenSlide10
Experimental Design & SamplingPrey
Prey collected using a stratified random sampling of each site
Drifting prey gathered with depth integrated nets
Benthic prey collected using kick-nets.
Sorted to Family or lower dependent on OrderSlide11
Experimental Design & SamplingSalmon
Wild fish only
Collected in weirs by the Bureau of Reclamation “Trap and Haul” effort led by Don
Portz
Dissected out livers and muscle tissue for stable isotope analysis (SIA)
Dissected out otoliths
for growth and age calculationSlide12
Experimental Design & SamplingModeling
Stable Isotope Modeling
Modeling of diet using ratios of
δ13C & δ15N found in salmon liver tissue and invertebrate whole tissue.
Liver resolution is ~ 1 weekMixed using MixSIAR a Bayesian model of dietary inputs. Can use priors to inform the model
Output is used to determine prey quality (preference for each prey item)Slide13
Experimental Design & SamplingModeling
Bioenergetics/Population Modeling
Using
inSTREAM, a model of whole populations with a focus on individuals
Developed by Steve Railsback and Brett HarveyComponents
Water velocity, depths, and refugia derived from hydrological modelsTemperatureTurbidity
Prey Quality and Quantity (Both benthic and Drifting)
Output
Daily and average growth rates for each individual within the populationSlide14
Testing & Statistics
Output from
bioenergetic model is growth rate which is directly comparable to growth rates derived from Otolith
analysesGrowth Rates from models or observations to testDrift
Drift + BenthicObservedMean TestingH0
testable using ANOVADunnet’s test would be an excellent post-hoc test, setting the observed growth means as the controlOther mean testing operations may be available
Residual Testing
Testing the residuals of the models to determine how well it fits the observed dataSlide15
Predicted Results
Results should indicate that the growth experienced by the wild population is more similar to one model than the other.
Testing the residuals will be used to evaluate model fit
If the model fits well, it can be used for future analyses
*Not real data
*Slide16
Future Directions
Best fit model can be used with future San Joaquin River hydrological modeling to better predict salmon growth and survival in the river
Results from study may indicate a lack of sophistication in current models when used to describe growth under sub-optimal conditions
Results may show that benthic foraging is an effective foraging method under certain conditions. Slide17
Questions?