Research Coordination Meeting: Strategic Placement and ...cels.uri.edu/docslink/whl/Talks/IAEA...
Transcript of Research Coordination Meeting: Strategic Placement and ...cels.uri.edu/docslink/whl/Talks/IAEA...
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Workshop: Relating Site Specific Insights to Landscape Features for Catchment Scale Management .
Art Gold, Professor, Univ. Rhode Island
Research Coordination Meeting: Strategic Placement and Area-wide Evaluation of
Conservation Zones in Agric. Catchments
IAEA/FAO Vienna, AustriaDecember 17, 2008
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Motivations For Scaling
• Inherent conceptual interest in scaling
• Interest in a micro-scale process that is relevant at large scales, e.g. N gas fluxes
• Need to solve a specific problem at a large scale, e.g. nitrate delivery to coastal waters, that is regulated by micro-scale processes
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Overview: Relating Landscape Features to Site Process for Catchment Management
• Site Scale– Does our sample size capture the controlling
processes – the hot spot issue at the micro level?– Does our sampling design capture transformation
rates at the scale of single landscape feature?• Landscape Scale
– What “map” attributes relate to landscape features that control or reflect hot spots of transformations?
– Is the mapping scale suitable to capture critical processing at the landscape scale?
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Sample Size Question: Do microcosms for soil and aquifer biogeochemistry capture site processes?
R. L. Smith, USGS
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In situ Nitrate Dosing Experiment Explore Biogeochemistry on Larger Sample Volumes
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Scale of Site Measurements CanYield Major Differences in Groundwater N Removal in Hydric
Soils at the Same Site
Dosing FieldStudy
Volume of Media (cm3)
16,000 32
Mass (g) 25,000 50
N Removal (μg kg-1 d-1)
50 <2
N Removal Method
Microcosm Study
Conservative Tracers: Mass Balance
Denitrification Gases
Nelson et al., 1995 Groffman et al., 1996
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Undisturbed Mesocosms Permit Mass Balance and Process Level Studies
15 cm diam. PVC Core
Extendible Pipe
Hydraulic Jack with press
Back side of pit
Side of pit where core will be extracted
Seasonal High Water Table
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Mesocosm Dosing Experiment
Carboy: Groundwater
Br+/5%15NO3
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15N Mesocosm Experiments:Carbon rich microsites (1-5% by volume) in hydric cores
generated the denitrification and N removal
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Push-Pull Method: In Situ Denitrification Capacity
Push Pull
Water Table
Introduced plume: 44 kg sample size
2 cm mini-piezometer
1. Pump groundwater2. Amend with 15NO3
-
and Br-
3. Lower DO to ambient levels with gaseous SF6
4. Push (inject) into well5. Incubate6. Pull (pump) from well7. Analyze samples for
15N2 and 15N2O (products of microbialdenitrification)
(Addy et al. 2002, JEQ)
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Question: Does our sampling design capture transformations at the scale of a single
landscape feature?• Hubbard Brook “valley-wide” study (Schwarz,
Venterea, Lovett, Groffman)
• Are there intra-valley patterns of N transformations that must be considered for scaling up to regional/catchment scale gas flux study?
• Can map attributes (elevation, aspect, geology, soils, vegetation) explain variation and permit scaling from point samples?
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Sampling Scheme: Hubbard Brook Watershed, NSF Long Term Ecological Research Site
1.5 km
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Mean Range CV
(kg N ha-1 d-1) %
N mineralization rate 1.18 0.25 - 2.33 44
Nitrification rate 0.61 -0.01 - 1.53 71
(g N ha-1 d-1)
N2O production rate 4.26 -0.69 - 16.1 76
High valley-wide variability in point-based N transformation rates
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Aspect
N m
iner
aliz
atio
n ra
te,
Nitr
ifica
tion
rate
(kg
N h
a-1 d
-1)
0.0
0.5
1.0
1.5
2.0
N2O
pro
duct
ion
rate
(g N
ha-1
d-1
)
0.0
0.5
1.0
1.5
2.0
N2O productionN facing S facing N facing S facing N facing S facing
a
b**
ab**
N mineralization Nitrification
Landscape attributes (ASPECT) relate to N transformation rates
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N mineralization Nitrification
Elevation
N m
iner
aliz
atio
n ra
te,
Nitr
ifica
tion
rate
(kg
N h
a-1 d
-1)
0.0
0.5
1.0
1.5
2.0
N2O
pro
duct
ion
rate
(g N
ha-1
d-1
)
0.0
0.5
1.0
1.5
2.0
N2O productionlow high
a
b***
b***a
a
b***
low high low high
Landscape attributes (ELEVATION) relate to N transformation rates
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Dominant species
N m
iner
aliz
atio
n ra
te,
Nitr
ifica
tion
rate
(kg
N h
a-1 d
-1)
0.0
0.5
1.0
1.5
2.0
2.5
N2O
pro
duct
ion
rate
(g N
ha-1
d-1
)
0.0
0.5
1.0
1.5
2.0
RS AB YB SM PB RS AB YB SM PB RS AB YB SM PB
N mineralization Nitrification N2O production
a
abcabc
c*
aab ab
b
c***
Landscape attributes relate (SPECIES) toN transformation rates
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Conclusions from valley-wide study
• There are coherent patterns of N cycling across the landscape of the Hubbard Brook valley
• These patterns can be related to map attributes and permit scaling up for catchment or regional gas flux estimates
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Stream N Cycling Is Quite Variable
Question: Can we use landscape attributes to relate stream morphology to N removal?
Hypotheses
• Stream denitrification is stimulated by hydrologic “connectivity” with riparian system
• Stream morphology reflects potential connectivity
• Appropriate stream restoration increases rates of hyporheic denitrification
Kausal et al., 2008
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Possible Denitrification Pathways In Stream Ecosystems
Denitrifying Bacteria
Surface water storage
Algal matsBiofilms
Woody debris Biofilms
Hyporheic exchangeRunkel USGS
Hyporheic Exchange:
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Developed vs Forested Storm Hydrographs
0
50
100
150
200
250
300
350
400
0 2 4 6 8 10 12 14 16
TimeFl
ow R
ate
I. Natural Channel
II. Channel with Incision Due to Increased Runoff
Water Table Stream
• Channel Erosion• Nonfunctional Floodplain• Dry Riparian Soils
Developed
Forested
Intensive Land Use: • Higher flood flows
• Less recharge• Lower Riparian Water Tables
Groffman et al, 2004
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Nutrient inputs
Bank Incision
Removal of riparian zone
Stream Degradation
Increased Nitrogen Concentrations
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Push Pull Groundwater Denitrification Studies: Low Bank (Unrestored)
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High non-connected bank
(Restored)
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Low Bank “Connected”to Riparian Water Table
(Restored)
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0
50
100
150
200
250
300
June 2003 November 2003 June 2004
Date
Den
itrifi
catio
n R
ate
(μg/
N/k
gso
il/da
y)Unrestored High BankUnrestored Low BankRestored High Un-connected BankRestored Low Connected Bank
Kaushal et al. (2008)
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Stream morphology and genesis may provide insight into stream denitrificationThe Rosgen Classification System
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Question: Is the mapping scale suitable to capture critical processing at the landscape scale?
Example: Geospatial data to identify high N removal riparian zones
• Can we identify narrow bands of hydric riparian soils?– 10 m of hydric soil width = substantial nitrate sink– 10 m < 0.02” at 1:24,000 scale
• Can we identify map features that reflect riparian flow paths? – Riparian Groundwater flow >> denitrification than
Surface Flow
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• 100 lower order Geo-referenced streams
• 6 transects per site
- Hydric soil width
- Presence of seeps
• Compare to SSURGO - Hydric status
- GeomorphicClassification
- Measurements
Water flow
T1 T2 T3
30m
Stream
7.5m 7.5m
Right Bank
Left Bank
T1 T2 T3
SSURGO Riparian Zone Validation StudySoil Survey Geographic Digital Data 1:24,000 vs. Field Data
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Riparianecosystem
Surface flow(short-circuiting?)
Stream
Groundwater Seeps: Field Data-Seeps found at 29/34 hydric till sites : Expect reduced groundwater N removalpotential in till-No seeps found at 16/18 hydric outwash sites: Expect groundwater flow through hydric soils with high denitrification potential
Till HydricSoil
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% o
f si
tes
>10
m o
f hy
dric
soi
ls>
10m
of
hydr
ic s
oils
& N
O s
eeps
pre
sent
& N
O s
eeps
pre
sent
0.0
10.0
20.0
30.0
40.0
50.0
60.0
70.0
80.0
90.0
HydricTill
N=34
HydricOutwash
N=18
NonhydricTill
N=17
NonhydricOutwash
N=10
HydricOrganic&AlluviumN=21
SSURGO Validation StudyHydro-geomorphic settings with high potential
for riparian groundwater nitrate removal
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30m buffer
Stream flow
T1 T2 T3
Rte 165
SPD
VPD
PD
VPD
PD
SPD
MWD
Right bank
Left bank
Soil Map Units Only Accurate for
Presence/Absence of Hydric Soils
Field Observations:
• Ground-truth map: 3-4 drainage classes
• SSURGO composed of 1 soil map unit
Rte 165
N
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Summary
• Great value in hypothesis based research relating landscape attributes (soils, morphology, topopgrahy, plant community) to biogeochemical cycling.
• Geospatial analyses can serve to “scale-up” site specific studies on wetland, riparian and stream functions at the catchment scale.