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Fisheries Management to Remediate

Mercury Contamination in Sport Fish

Colorado Parks and Wildlife26 September 2013

Hg 80200.59

Dr. Jesse M. Lepak

No advisory

0.3 – 0.5 ppm

Advisory

Data pending

QF (egestion)

C(consumption)

QG

QS

(standard)

QU (excretion)

QR (respiration/metabolism)

QA

(active) QH

(SDA)

(Growth)

+ +

Wisconsin Fish Bioenergetics Model 3.0 (Hanson et al. 1997)

Bioenergetics

Original Hg content + (Consumption * Prey Hg * α) - elimination

Daily predator Hg concentration =

Predator weight

Bioenergetics

0.00

0.25

0.50

0.75

1.00

0 1000 2000 3000 4000 5000 6000

Example: Brush Hollow Reservoir

Immature walleye

Female walleyeMale walleye

Walleye weight (g)

Wal

leye

Hg

(ppm

)

Simulate management to reduce ♂♂ mercury?

• Establish male “baseline” model;• Double and half weight gain at age (changes in

density due to harvest);• Switch to rainbow trout diet and double

growth;• Increase system productivity (bloom or

biomass dilution: lower prey Hg, WI);• Decrease water level fluctuation (decreased

methylation rates: lower prey Hg, SD).

0

0.25

0.5

0.75

1

Walleye age (years)

3 4 5 6 7 8 9 10 11 12

Wal

leye

Hg

(ppm

)Baseline conditions

Walleye age (years)

Wal

leye

Hg

(ppm

)

0

0.25

0.5

0.75

1

Altered growth

CurrentDouble weight gain at ageHalf weight gain at age

3 4 5 6 7 8 9 10 11 12

0

0.25

0.5

0.75

1

Walleye age (years)

Wal

leye

Hg

(ppm

)RBT diet and doubling weight gain at age

3 4 5 6 7 8 9 10 11 12

0

0.25

0.5

0.75

1

Walleye age (years)

Wal

leye

Hg

(ppm

)Increasing system productivity

3 4 5 6 7 8 9 10 11 12

0

0.25

0.5

0.75

1

Walleye age (years)

Wal

leye

Hg

(ppm

)Decreased water level fluctuation

3 4 5 6 7 8 9 10 11 12

Summary• Female walleye had lower than expected Hg

due to RBT consumption (growth dilution);• Simulating increased walleye growth alone

decreased Hg, but not below 0.5 ppm;• Simulations with reduced prey Hg showed the

largest reductions in walleye Hg;• These are only simulations, results may vary

(e.g., methylation increase with productivity);• Simulated responses mid-life span rapidly

reached equilibrium.

Walleye age (years)

Wal

leye

Hg

(ppm

)Mid-life span simulation (gizzard shad diet)

3 4 5 6 7 8 9 10 11 12

0

0.25

0.5

0.75

1

• We tested a whole-lake management action experimentally;

• 25 ha College Lake, dense, slow growing northern pike population (crayfish diet);

• Provided rainbow trout as higher quality forage to quantify growth dilution;

• Repeated measures on individuals (2 months; 30 fish and 1 year; 15 fish);

• A pond component (~40 days) was conducted to verify results.

Do responses really happen this quickly?

College

Lake

N

Rainbow trout stocking

N

25 ha

0.1 ha each

Length, gastric lavage (diet), weightLength, gastric lavage (diet), weight

BiopsyBiopsy Release into College Lake or pondsRelease into College Lake or ponds

50:50 denture 50:50 denture cream/neosporincream/neosporin

Floy Floy TagTag

Initial sampling

• ~1 kg of RBT per pike (27,000, 150 mm);Stocking and recapture

0%

25%

50%

75%

100%

Initial capture

Initialrecapture

Unfed Increasedforage

Recapture(2010)

Die

t com

posi

tion

(% w

et b

iom

ass)

Sample period/treatment

Cray

fish

Oth

er fi

sh Rain

bow

trou

t

Nor

ther

n cr

icke

t fro

gs

Other inverts Warbler

n = 254 n = 30 n = 12 n = 8 n = 15

▼ ▼

At pond draining: 1 RBT remainedNorthern pike diet response

Ponds

Δ w

eigh

t (%

)

Total length (mm)

-10

0

10

20

30

40

400 450 500 550 600 650 700 750 800

Northern pike weight change at length

-50

-25

0

25

50

-50 -25 0 25 50

Δ T-

Hg

conc

entr

ation

(%)

Δ weight (%)

College LakeExperimental ponds

Northern pike Hg response

0

1000

2000

3000

4000

5000

400 500 600 700 800

T-H

g co

ncen

trati

on (p

pm)

Total length (inches)

Pre-manipulationPost-manipulation

• 50% of the pike exceeded advisory levels before; We removed 35% of those from the advisory.

1.25

1.00

0.75

0.50

0.25

0.00 400 500 600 700 800

Northern pike Hg response

T-H

g po

st-m

anip

ulati

on (p

pm)

T-Hg pre-manipulation (ppm)

Recapture (2010) 1:1 line

One year later…

1.25

1.0

0.75

0.50

0.25

0.00.0 0.25 0.50 0.75 1.0 1.25

Implications

• Providing quality (low Hg, high calorie) prey has potential to reduce sport fish Hg rapidly;

• More cost effective and ecologically “safe” to manage for prey species already present or increase productivity/decrease methylation;

• Even if low Hg, high quality prey are present, individual sport fish may have elevated Hg;

• The general patterns observed were present across the landscape in Colorado.

No advisory

0.3 – 0.5 ppm

Advisory

Data pending

N,PN,P

0

0.25

0.5

0.75

1

-20 0 20 40 60 80 100 120 140

Chlorophyll a (mg/L)

Prob

abili

ty o

f an

advi

sory

Given that you caught a piscivore….

PCA (unitless)

Prob

abili

ty o

f an

advi

sory

0

0.25

0.5

0.75

1

-4 -2 0 2 4 6

PCA including chlorophyll a, secchi depth and total phosphorus

Given that you caught a piscivore….

Conclusions

• Food web structure (from productivity to predators) is extremely important;

• Food web structure can change rapidly through management and stochasticity;

• Caution, there are reasons why some of these actions may increase bioaccumulation (e.g., increasing productivity);

• Implications for monitoring and potentially remediating mercury contamination in sport fish.

Thank you

Hg 80200.59

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