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
Link:
VIEW RELATED INFORMATION
Description:
Pnet model journal articles, PnET source code, PnET executable.
Geographic Coverage
Spatial coordinates
N: 48.0
S: 38.0
E: -66.0
W: -77.0
Data Set Citation
Dataset Creator:
J.D. Aber, S.V. Ollinger, C.A. Federer, P.B. Reich, M.L. Goulden, D.W. Kicklighter, J.M. Melillo, R.G. Lathrop Jr.
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, 1995
Dataset Release Date:
1995
Dataset Publisher:
CSRC, University of New Hampshire
Data Presentation Form:
ASCII grid and image
Online Resource:
http://eos-webster.sr.unh.edu
Name:
DENISE
BLAHA Phone:
1-603-862-3785
Fax:
603-862-0188
Email:
support at cooa.sr.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
Distribution
Distribution Media:
CD-ROM, Online Internet (HTTP)
Distribution Format:
ASCII, GIF images
Fees:
None
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
Links
