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!!!