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Integrating Solute Transport, Stream
Metabolism and Nutrient Retention, using the Bio-Reactive Tracer Resazurin
Ricardo González-Pinzón, Roy Haggerty, Alba Argerich, Sarah Acker, David
Myrold
Outline
• Introduction• Current methods to estimate stream
metabolism • The resazurin-resorufin system • Metabolically Active Transient Storage
Introduction
Stream Response
Solute Transport
Stream Metabolism
Nutrient Dynamics
Introduction
Stream Response
Solute Transport
Stream Metabolism
Nutrient Dynamics
??
?
IntroductionThese knowledge gaps obscure the functionality of stream ecosystems and how they interact with other landscape processes.
Bencala et al., 2011
Introduction
Stream Metabolism & Sampling Limitations:– Benthic and hyporheic chambers, and
two-station diel technique.
Solute Transport vs. Nutrient Dynamics:– Weak or even contradictory
correlations using the Transient Storage Model (TSM).
Introduction: Stream Metabolism
Christensen 2010
Introduction: Stream Metabolism
(2009)
Introduction: Stream Metabolism
Introduction: Solute transport & Nutrient Dynamics
Hall et al. 2002
Introduction: Solute transport & Nutrient Dynamics
Working Hypothesis
Most metabolic activity and nutrient retention are associated with key active areas within TS zones, where biogeochemical gradients stimulate metabolism by aerobic microorganisms.
These zones are located in the near-subsurface of hyporheic zones and in the benthos of pools and eddies; they are referred to as the metabolically active transient storage (MATS) zones.
Drawing by Kera Tucker
Rru
Raz
Rru
Resazurin (Raz)
Resorufin (Rru)
Living organisms
Metabolically Active Transient Storage (MATS)
Metabolically Active Transient Storage (MATS)
quantified by Raz and Rru
MATS
Advection
Dispersion
MITS Sorption
MAIN CHANNEL
Exch
an
ge
Exch
an
ge
Fast
& S
low
decay
decay
decay
decay
Reaction and Degradation Rates
1.E-05
1.E-04
1.E-03
1.E-02
1.E-01
1.E+00
1.E+01
Measurements
Rat
es [
h-1
]
k1
k12
k2
10-5
10-4
10-3
10-2
10-1
100
101
k 1
k 12
k 2
Haggerty, Argerich & Martí, 2008
Transformation Rates
0.001
0.01
0.1
1
0.0001 0.001 0.01 0.1
c (mg/mL)
s (
g/g
)
Freundlich isotherm (shown):s = Kf c1/n
K f = 5.15 ± 1.34 mL/g1/n = 0.89 ± 0.04r2 = 0.993
Linear isotherm:s = Kd c
Kd = 6.63 ± 0.4 mL/g
r2 = 0.979
Rru- Sorption isotherm
Haggerty, Argerich & Martí, 2008
Complementary Sorption- Investigation
Methodology:
• Batch and column experiments to quantify the sorption of Raz and Rru.
• To prevent Raz transformation we will use sediments sterilized by gamma-radiation.
Quantitative relationship between ΔRaz and respiration
Vf-Raz = 0.26 ln(ER) + 0.47r² = 0.85 (p=0.01)
0.0
0.2
0.4
0.6
0.8
0.1 1.0 10.0
Raz
upta
ke v
eloc
ity
(V
f-Raz
mm
min
-1)
Ecosystem respiration (g O2 m-2 d-1)
Field Experiments
D Raz = 0.0019 D DO + 6 x 10-5
r² = 0.93 (p<0.001)0.E+001.E-042.E-043.E-044.E-045.E-046.E-047.E-04
0 0.05 0.1 0.15 0.2 0.25 0.3
ΔRa
z (m
mol
/L)
ΔDO (mmol/L)
Laboratory Experiments
y = 1.9x + 0.09R² = 0.91y = 6.8x - 0.01
R² = 0.93
y = 0.67x + 0.001R² = 0.99
y = 0.84x - 0.01R² = 0.98
-1.E-01
0.E+00
1.E-01
2.E-01
3.E-01
4.E-01
5.E-01
6.E-01
7.E-01
8.E-01
9.E-01
0 0.05 0.1 0.15 0.2 0.25 0.3
DR
az /
Co
D DO (mmol/L)
Oak Cr. Column exp. Clark Fork River. Column exp.
Fig. 3. McNicholl et al. (2007)-activated sludge Fig. 4. McNicholl et al. (2007)-activated sludge
[Raz]=10 ppm
[Raz]~200 ppb
Quantitative relationship between ΔRaz and respiration
Quantitative relationship between ΔRaz and respiration
Research approach:
• Batch experiments: aerobic bacteria and facultative anaerobic bacteria.
These experiments will restrict the transformation of Raz to biological mechanisms.
• Column experiments with different concentrations of Raz and varying physicochemical conditions to broaden respiration rates.
Study site: H.J. Andrews Experimental Forest, Oregon
Total reach length = 668.3 mTwo reaches
BEDROCK REACH
(357.5 m)
ALLUVIAL REACH
(310.8 m)
Argerich et al., in rev.
Two consecutive reaches:
Upper reach (bedrock reach): streambed sediments scoured to bedrock.
Lower reach (alluvial reach): deep alluvium.
22
N
Reach 2
Thick alluvium
with alder
Reach 1Bedrock
Flow
Argerich et al., in rev.
Longitudinal sampling 17 h since start of the injection
0 100 200 300 400 500 6000
50
100
150
200
250
300
350
400
0
20
40
60
80
100
Distance from the injection point (m)
bedrock reach
alluvial reach
Raz
(μ
g/L
)
Rru
(μg
/L) &
EC
(μS
/cm)
Argerich et al. (in rev.)
Raz sensitive to spatial heterogeneity
0
50
100
150
200
250
0 10 20 30 40 50 60
0
50
100
150
200
250
0 10 20 30 40 50 60
ALLUVIAL REACH
Raz
& R
ru (
μg
/L)
Raz
& R
ru (
μg
/L)
Time since addition started (h)
BEDROCK REACH
Raz (µgL-1)Rru (µgL-1)
Argerich et al. (in rev.)
f = 0.37 (MATS/TS)As/A = 0.19Mean travel time= 3.5 h
MATS = 0.002 m2
Raz reaction rate = 1.88 h-1
Raz reaction rate volume-weighted
= 0.13 h-1
f = 1.00 (MATS/TS)As/A = 2.45Mean travel time= 15.3 h
MATS = 0.291 m2
Raz reaction rate = 0.12 h-1
Raz reaction rate volume-weighted = 0.29 h-1
0.11 0.12 0.13 0.14 0.15 0.160.10
0.20
0.30
0.40
0.50
0.60
Instantaneous respiration rates (mg
O2m-2min-1)
Rru
:Raz
rati
o
y=1.29ln(x)+3.05R2=0.75, P=0.01
Raz to Rru proportional to whole-reach respiration rates
Argerich et al. (in rev.)
Respiration: alluvial = 2 x bedrock
Transient storage: alluvial = 13 x bedrock
Volume-weighted Raz reaction rate: alluvial = 2.1 x bedrock
Nutrient dynamics = f(MATS) Hydrologic processes:
DischargeTS
Biotic controls:Assimilatory uptake (algal mats,
microbes)Dissimilatory uptake (microbes)Consumers (macro-invertebrates,
fishes)
Abiotic controls: • Precipitation • Sorption
MATS: a linking tool between hydrologic and biologic nutrient retention
MATS: a linking tool between hydrologic and biologic nutrient retention
Methodology:• Column experiments with sterilized
and unsterilized sediments to differentiate biotic and abiotic nutrient retention.
• Injections of conservative (NaCl) and bio-reactive tracers (NH4, PO4, and Raz) monitored through time.
• In the field, we will measure the same injectates in surface upwelling/downwelling locations.
Applications in water resourcesMore robust techniques are needed to develop mechanistic relationships to improve our fundamental understanding of in-stream processes and how streams interact with other ecosystems
Water Resources Science
Water Resources Engineering
Water Resources Management
Understanding TS from a metabolic
perspective
Support to design stream
restoration projects
Support to design stream preservation
projects
Take-home points• Raz-Rru system is a “smart
tracer” for MATS– May allow us to worry less about
surface vs. subsurface transient storage and more about the rates of transformation in MATS.
– Transformation of Raz to Rru is proportional to aerobic respiration.
– Can help us to measure metabolism at different scales.
• MATS model can be used to differentiate metabolic activity in reaches and separate hydrologic and biologic effects.