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Campbell 2014 esa workshop

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Paired watershed studies Watersheds are unreplicated It’s difficult to find suitable replicate watersheds and expensive to treat them Uncertainty analysis can be used to report statistical confidence Andréassian 2004 Journal of Hydrology 29:1-27
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Page 1: Campbell 2014 esa workshop

Paired watershed studies

• Watersheds are unreplicated

• It’s difficult to find suitable replicate watersheds and expensive to treat them

• Uncertainty analysis can be used to report statistical confidence Andréassian 2004 Journal of

Hydrology 29:1-27

Page 2: Campbell 2014 esa workshop

W6W5

• Net hydrologic flux = precipitation inputs minus stream outputs

• W5 - whole tree harvest during winter of 1983-1984• All trees >5 cm dbh were removed (boles and branches)• Purpose: evaluate impact of this more intensive

management practice on nutrient removals and site productivity

Uncertainty in the flux of Ca

Page 3: Campbell 2014 esa workshop

Water year (June 1)1960 1970 1980 1990 2000 2010

Net

hyd

rolo

gic

flux

(kg

ha-1

yr-

1)

-24

-21

-18

-15

-12

-9

-6

-3

0

W6 (reference)W5 (harvested)

Ca response to harvesting

Harvest

Calcium data courtesy G.E. Likens

Page 4: Campbell 2014 esa workshop

Sources of uncertainty

Precipitation • Interpolation model• Collector undercatch• Chemical analysis• Gaps in chemistry

Stream water• Watershed area• Rating curve• Gaps in discharge• Chemical analysis• Streamwater

interpolation model

Page 5: Campbell 2014 esa workshop

Precipitation interpolation method

0 1000 m

1000 1600 mm

Precip. gageWatershed

Precip.

W6 W5 W4W2

W3

W7W8

W9

W1 W6 W5 W4W2

W3

W7W8

W9

W1

W6 W5 W4W2

W3

W7W8

W9

W1

W6 W5 W4W2

W3

W7W8

W9

W1

Kriging

W6 W5 W4W2

W3

W7W8

W9

W1Inverse distanceweighting

Thiessen polygon

Spline

Regression

Page 6: Campbell 2014 esa workshop

Precipitation interpolation method

W1 W2 W3 W4 W5 W6 W7 W8 W9

Ann

ual p

reci

p. (m

m)

1340

1360

1380

1400

1420

1440

1460

1480

1500

1520ThiessenKrigingIDWSplineRegression

Uncertainty = 0.6%

Page 7: Campbell 2014 esa workshop

Chemical analyses

Uncertainty = 1.0%

• Precision describes the variation in replicate analysis of the same sample

• At Hubbard Brook, one sample of every 40 is analyzed four times 

Page 8: Campbell 2014 esa workshop

Watershed area

Page 9: Campbell 2014 esa workshop

Watershed area

W6

Uncertainty = 2.3%

Page 10: Campbell 2014 esa workshop

Gaps in streamflow

• 7% of streamflow record is gaps• 65% due to the chart recorder (53% clock)

Page 11: Campbell 2014 esa workshop

Streamflow

Monte Carlo approach

Watershed Area

Net Hydrologic Flux

Etc.

Calculation

Page 12: Campbell 2014 esa workshop

Ca response to harvesting

Harvest

Water year (June 1)1960 1970 1980 1990 2000 2010

Net

hyd

rolo

gic

flux

(kg

ha-1

yr-

1)

-24

-21

-18

-15

-12

-9

-6

-3

0

W6 (reference)W5 (harvested)

Harvest

Page 13: Campbell 2014 esa workshop

Ca response to harvesting

W6 Ca Net hydrologic flux (kg/ha/yr)

-25 -20 -15 -10 -5 0

W5

Ca

net h

ydro

logi

c flu

x (k

g/ha

./yr)

-25

-20

-15

-10

-5

0

Page 14: Campbell 2014 esa workshop

Contributions to uncertainty

Page 15: Campbell 2014 esa workshop
Page 16: Campbell 2014 esa workshop
Page 17: Campbell 2014 esa workshop

• Stream chemistry sampling interval• Rating curve at high flow

Other sources of Uncertainty

Page 18: Campbell 2014 esa workshop

Source of excess Ca in W5

• Dissolution of calcium oxalate, which is common in plant tissue and is known to accumulate in forest soils (Bailey et al. 2002).

• Dissolution of nonsilicate minerals, such as calcite and apatite, which are more rapidly weathered than silicate minerals (Hamburg et al. 2003).


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