NE U.S. Regional Estimate of Water Yield Using PnET
Entry ID:
EOSWEBSTER_PnET2_DRN_NE_US
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Summary
We used the PnET-II model of forest carbon and water balances to estimate
regional forest productivity and runoff for the northeastern United States.
The model was run at 30 arc-second resolution (approximately 1 km) in
conjunction with a Geographic Information System that contained monthly
climate data and a satellite-derived land cover map. Predicted net
... primary production (NPP) ranged from 700 to 1450 g m-2 yr-1 with a
regional mean of 1084 g m-2 yr-1. Validation at a number of locations
within the region showed close agreement between predicted and observed
values. Disagreement at two sites was proportional to differences
between measured foliar N concentrations and values used in the model.
Predicted runoff ranged from 24 to 150 cm yr-1 with a regional mean of
63 cm yr-1. Predictions agreed well with observed values from U.S.
Geologic Survey watersheds across the region although there was a slight
bias towards overprediction at high elevations and underprediction at
lower elevations.
Spatial patterns in NPP followed patterns of precipitation and
growing degree days, depending on the degree of predicted water versus
energy limitation within each forest type. Randomized sensitivity
analyses indicated that NPP within hardwood and pine forests was limited
by variables controlling water availability (precipitation and soil water
holding capacity) to a greater extent than foliar nitrogen, suggesting
greater limitations by water than nitrogen for these forest types. In
contrast, spruce-fir NPP was not sensitive to water availability and was
highly sensitivity to foliar N, indicating greater limitation by
available nitrogen. Although more work is needed to fully understand
the relative importance of water versus nitrogen limitation in
northeastern forests, these results suggests that spatial patterns of
NPP for hardwoods and pines can be largely captured using currently
available data sets, while substantial uncertainties exist for spruce-fir.
Related URL
Geographic Coverage
Spatial coordinates
| N: 48.0 |
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S: 38.0 |
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E: -66.0 |
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W: -77.0 |
Data Set Citation
Dataset Creator:
Scott V. Ollinger, John D. Aber and C. Anthony Federer
Dataset Title:
Estimating regional forest productivity and water yield using an ecosystem model linked to a GIS
Dataset Series Name:
Landscape Ecology v 13 pp 323-334
Dataset Release Date:
1998
Dataset Publisher:
CSRC, University of New Hampshire
Data Presentation Form:
ASCII and image
Online Resource:
http://eos-webster.sr.unh.edu
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Location Keywords
Science Keywords
ISO Topic Category
Platform
Project
Ancillary Keywords
Data Set Progress
Data Center
Distribution
Distribution Media:
CD-ROM, Online Internet (HTTP)
Distribution Format:
ASCII, GIF images
Fees:
None
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Personnel
JOHN
D.
ABER
Role:
INVESTIGATOR
Phone:
603-862-3045
Email:
John.Aber at unh.edu
Contact Address:
University of New Hampshire
Complex Systems Research Center
City:
Durham
Province or State:
NH
Postal Code:
03824
Country:
USA
RITA
FREUDER
Role:
TECHNICAL CONTACT
Role:
DIF AUTHOR
Phone:
603-862-1792
Fax:
603-862-0188
Email:
Rita.Freuder at unh.edu
Contact Address:
Complex Systems Research Center
Institute for the Study of Earth, Oceans, and Space
Morse Hall
University of New Hampshire
City:
Durham
Province or State:
New Hampshire
Postal Code:
03824
Country:
USA
SCOTT
V.
OLLINGER
Role:
INVESTIGATOR
Phone:
603-868-2926
Email:
Scott.Ollinger at unh.edu
Contact Address:
University of New Hampshire
CSRC/ Morse Hall
City:
Durham
Province or State:
NH
Postal Code:
03824
Country:
USA
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Creation and Review Dates
Last DIF Revision Date:
2007-02-15
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Links
