transformative outcomes?
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Transformative Outcomes?
http://lgrc.lga.gov.ph/greenstone/collect/strength/tmp/Transformative_Partnerships.html
Synthesis & Consilience• The concurrence of multiple inductions drawn from different data sets• Agreement, co-operation or sharing of (diverse) methods between or convergence or overlap of academic disciplines • Consilience happens under stressed conditions (shock resilience?)• Warning: “Consumption of this raw product may be hazardous to your intellect”. • Let it age!
http://en.wiktionary.org/wiki/consilience
FILTERS, CASCADES,WAVES, ATTENUATORS:
Climate(rainfall, ET)
Landscape (non-linear
filter)
Streamflow
Biogeochemistry (non-
linear filter)
Contaminant Loads
Aquatic Habitat and Biodiversity
Cascading Controls
kN C
DOC
Spiraling Waves• Multiple storm events (frequencies,
depths, etc)
• Multiple wetting fronts (storage deficit)
• Multiple solute fronts (sources, retardation, degradation)
• Multiple sediment fronts (within the active zone; along a reach)
• “Exchange” rates & spiraling distances
• Legacy accumulation & triggering events
Emerging Simplicity:Attractors & Patterns
• “Functional homogeneity” in spite of
“structural heterogeneity”
• Persistence of emerging patterns
• “Legacy” matters!
• Convergence to “attractors”?
• Mirror image patterns?
Legacy Management!!
LHCO3 = Q*CHCO3
L =
Q*
Ci
0
1
2
3
0 5 10 15Ch
emica
l Loa
d (g
/m2 /
yr)
Bicarbonate Load (g C/m2/yr)
DOC
Nitrate
TPOrtho-P
Bicarbonate as a conservative tracer
• For each of four constituents, data for three large sub-basins collapse to a single line.• Slope of the lines is indicative of the “reactivity” of the constituent & land-use management.
• For each of four constituents, data for three large sub-basins collapse to a single line.• Slope of the lines is indicative of the “reactivity” of the constituent & land-use management.
CONTAMINANT LOAD-DISCHARGE RELATIONSHIP ACROSS SCALES
SLOPE: HILLSLOPE LOSSES
IN-STREAM LOSSESDIC
C
DICapp
Capp
DIC
C
LAPU
LAPU
M
M
L
L
,
,
9
Network Models: Spatial Patterns
Nitrogen Yieldkg/km2
y = 1.22x-0.09
R² = 0.97
y = 2.31x-0.29
R² = 0.94
y = 1.52x-0.16
R² = 0.97
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
10 100 1000
LA
PU
area (km2)
Q^0.4
Q^0
Q^0.2
0
0.2
0.4
0.6
0.8
1
0 200 400 600 800
ke (p
er d
ay)
area (km2)
no Q dependence
Q^0.2
Q^0.4
Hubbard Brook WS3
Hubbard Brook WS3
Hubbard Brook WS2
Sunny Squamish
Acknowledgements
• The students, of course
• Nandita
• Siva
• Marwan, Simon & Aaron
• McGrath (UWA)
• Kalita (UIUC)
• Rinaldo & Botter (Padua)
• Jennifer!!!
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