Total Carbon Flux in the Northeastern U.S.
Entry ID:
EOSWEBSTER_PnET2_NEP_NE_US
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Summary
These datasets were formed from the ratios of two runs of PnET , a
forest ecosystem model (see Parent DIF). It represents a grid of
pixels in New England and eastern New York at spatial resolution of 60
arc seconds (about 2 kilometers). One model run used ambient levels of
CO2, precipitation and temperature, and the other run used modified
levels. Rapid and ... simultaneous changes in temperature, precipitation
and the atmospheric concentration of CO2 are predicted to occur over
the next century. Simple, well-validated models of ecosystem function
are required to predict the effects of these changes. This model is an
improved version of a forest carbon and water balance model (PnEt-II)
and the application of the model predicts stand-level and
regional-level effects of changes in temperature, precipitation, and
atmospheric CO2 concentration. PnET-II is a simple, generalized,
monthly time- step model of water and carbon balances (gross and net)
driven by nitrogen availability as expressed through foliar N
concentration. Improvements from the original model include a complete
carbon balance and improvements in prediction of canopy phenology, as
well as in the computation of canopy structure and photosynthesis. The
model was parameterized and run for 4 forest/site combinations and
validated against available data for water yield, gross and net carbon
exchange and biomass production. The validation exercise suggests that
the determination of actual water availability to stands and the
occurrence or non-occurrence of soil-based water stress are critical
to accurate modeling of forest net primary production (NPP) and net
ecosystem production (NEP). The model was then run for the entire New
England/New York (UAS) region using a 1 km resolution geographic
information system. Predicted long-term NEP ranged from, -85 to +275 g
C /m^2/yr for the 4 forest/site combinations, and from 150 to 350 g C
/m^2 /yr for the region, with a regional average of 76 g C /m^2/yr. A
combination of increased temperature (+6 deg C), decreased
precipitation (-15%) and increased water use efficiency (2X, due to
doubling of CO2) resulted generally in increases in NPP and decreases
in water yield over the region.
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, Gary M Lovett, Sarah E Millham, Richard G. Lathrop, Jennifer M. Ellis
Dataset Title:
Predicting the Effects of Climate Change on water yield and Forest Production in the Northeastern United States
Dataset Series Name:
Climate Research, vol 5: pp 207-222
Dataset Release Date:
1995
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
