campbell 2015 lter asm v0.1 quest

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Uncertainty in the net hydrologic flux of calcium in a paired-watershed harvesting study LTER ASM Estes Park, CO September 2015 John Campbell, Ruth Yanai, Mark Green, Genen Likens, Craig See, Amey Bailey, Don Buso, Daqing Yang

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Page 1: Campbell 2015 lter asm v0.1 quest

Uncertainty in the net hydrologic flux of calcium in a paired-watershed

harvesting study

LTER ASM Estes Park, COSeptember 2015

John Campbell, Ruth Yanai, Mark Green, Genen Likens, Craig See, Amey Bailey, Don Buso, Daqing Yang

Page 2: Campbell 2015 lter asm v0.1 quest

Paired watershed studies

W6W5

• Watersheds are unreplicated

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

• Uncertainty analysis can be used to report statistical confidence

Page 3: Campbell 2015 lter asm v0.1 quest

Ca response to harvesting

HarvestHarvest

Data courtesy G.E. Likens

Page 4: Campbell 2015 lter asm v0.1 quest

Sources of uncertaintyPrecipitation • Interpolation model• Collector efficiency• Gaps in volume• Chemical analysis• Unusable chemistry

Stream water• Watershed area• Stage height-discharge• Gaps in discharge• Chemical analysis• Interpolation model

May 1956

Page 5: Campbell 2015 lter asm v0.1 quest

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 6: Campbell 2015 lter asm v0.1 quest

Watershed area

W6

Uncertainty = 2.3%

Page 7: Campbell 2015 lter asm v0.1 quest

Streamflow

Monte Carlo approach

Chemical value

Net Hydrologic Flux

Etc.

Calculation

Page 8: Campbell 2015 lter asm v0.1 quest

Ca response to harvesting

Page 9: Campbell 2015 lter asm v0.1 quest

Contributions to Uncertainty

Page 10: Campbell 2015 lter asm v0.1 quest
Page 11: Campbell 2015 lter asm v0.1 quest

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 12: Campbell 2015 lter asm v0.1 quest

Acknowledgments

Calcium data were obtained through funding from the A.W. Mellon Foundation and the NSF, including LTER and LTREB.

Amey BaileyIan HalmNick GrantTammy WoosterBranda Minicucci

Page 13: Campbell 2015 lter asm v0.1 quest

Gaps in streamflow

• 7% of streamflow record is gaps• 65% due to the cart recorder (50% clock)

Uncertainty = 7.9%

Page 14: Campbell 2015 lter asm v0.1 quest

Easier said than done…

• Difficult to identify sources of uncertainty

• Difficult to quantify sources

• Multiple approaches to uncertainty analysis

• No single answer

Page 15: Campbell 2015 lter asm v0.1 quest

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)

Page 16: Campbell 2015 lter asm v0.1 quest

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).

Page 17: Campbell 2015 lter asm v0.1 quest

Source of excess Ca in W5