John D. Aber, Morse Hall, University of New Hampshire, Durham, NH 03824-3525
The PnET models provide a nested set of modular approaches to simulating the carbon, water and nitrogen dynamics of forest ecosystems. The different versions of PnET are modular and build out from simplest to most complex. Algorithms such as photosynthesis are identical among model versions.
The original PnET uses a monthly timestep. PnET-Day uses a daily timestep. The PnET models do not have an explicit spatial scale, but they are viewed as regional (i.e., in contrast with TEM, which is global in scale).
The original PnET was a precursor to the other three versions.
PnET-Day has been validated against daily summaries of eddy correlation carbon balance measurements from the Harvard Forest (Aber et al. 1996). PnET-II has been validated against annual NPP and monthly water yield data from the Harvard Forest and Hubbard Brook ecosystems. PnET-CN maintains the predictions for NPP and water balance used for validation in PnET-II. PnET-CN compares well with field data in predicting total annual, mean seasonal, and actual time series rates of nitrate loss in streams (Aber et al. 1997a, 1997b). PnET-II predictions of foliar production and NPP were validated against data from 10 additional forest types across North America (Aber and Federer 1992). Jenkins et al. (1999) found that PnET-II predictions were sensitive to soil water holding capacity, but not to temperature.
Aber, J.D. and C.A. Federer. 1992. A generalized, lumped-parameter model of photosynthesis, evapotranspiration and net primary production in temperate and boreal forest ecosystems. Oecologia 92:463-474.
Aber, J.D., P.B. Reich and M.l. Goulden. 1996. Extrapolating leaf CO2 exchange to the canopy: a generalized model of forest photosynthesis validated by eddy correlation. Oecologia 106:257-265.
Aber, J.D. and R. Freuder. 2000. Sensitivity of a forest production model to variation in solar radiation data sets for the Eastern U.S. Climate Research 15:33-43.
Jenkins, J.C., D.W. Kicklighter, S.V. Ollinger, J.D. Aber and J.M. Melillo. 1999. Sources of variability in NPP predictions at a regional scale: A comparison using PnET-II and TEM 4.0 in northeastern forests. Ecosystems 2:555-570
Ollinger, S.V., J.D. Aber and P.B. Reich. 1997. Simulating ozone effects on forest productivity: interactions between leaf,- canopy- and stand-level processes. Ecological Applications 7:1237-1251.

