Because model predictions at continental and global scales are necessarily based on broad characteriza-tions of vegetation, soils, and climate, estimates of carbon stocks and fluxes made by global terrestrial biosphere models may not be accurate for every region. At the regional scale, we suggest that atten-tion can be focused more clearly on understanding the relative strengths of predicted net primary pro-ductivity (NPP) limitation by energy, water, and nutrients. We evaluate the sources of variability among model predictions of NPP with a regional-scale comparison between estimates made by PnET-II (a forest ecosystem process model previously ap-plied to the northeastern region) and TEM 4.0 (
The purpose of this study was to evaluate 10 process-based terrestrial biosphere models that were us...
Modeling vegetation gross primary productivity (GPP) is crucial to understanding the land–atmosphere...
The purpose of this study was to evaluate 10 process-based terrestrial biosphere models that were us...
Because model predictions at continental and global scales are necessarily based on broad characteri...
We used the PnET-II model of forest carbon and water balances to estimate regional forest productivi...
We use the terrestrial ecosystem model (TEM), a process-based model, to investigate how interactions...
Gross primary production (GPP), the photosynthetic uptake of carbon, is an important variable in the...
[Extract] Terrestrial vegetation acts as a reservoir for significant amounts of carbon and is involv...
Annual and seasonal net primary productivity estimates (NPP) of 15 global models across latitudinal ...
Net primary production (NPP) is defined as the rate at which carbon (C) is accumulated by autotrophs...
termination of the vulnerability of ecosystems to large-scale changes in climate or atmospheric chem...
The net primary productivity (NPP) is commonly used for understanding the dynamics of terrestrial ec...
International audienceThe allocation of net primary production (NPP) to different plant structures, ...
The LPJ-GUESS dynamic vegetation model uniquely combines an individual- and patch-based representati...
Modeling vegetation gross primary productivity (GPP) is crucial to understanding the land–atmo...
The purpose of this study was to evaluate 10 process-based terrestrial biosphere models that were us...
Modeling vegetation gross primary productivity (GPP) is crucial to understanding the land–atmosphere...
The purpose of this study was to evaluate 10 process-based terrestrial biosphere models that were us...
Because model predictions at continental and global scales are necessarily based on broad characteri...
We used the PnET-II model of forest carbon and water balances to estimate regional forest productivi...
We use the terrestrial ecosystem model (TEM), a process-based model, to investigate how interactions...
Gross primary production (GPP), the photosynthetic uptake of carbon, is an important variable in the...
[Extract] Terrestrial vegetation acts as a reservoir for significant amounts of carbon and is involv...
Annual and seasonal net primary productivity estimates (NPP) of 15 global models across latitudinal ...
Net primary production (NPP) is defined as the rate at which carbon (C) is accumulated by autotrophs...
termination of the vulnerability of ecosystems to large-scale changes in climate or atmospheric chem...
The net primary productivity (NPP) is commonly used for understanding the dynamics of terrestrial ec...
International audienceThe allocation of net primary production (NPP) to different plant structures, ...
The LPJ-GUESS dynamic vegetation model uniquely combines an individual- and patch-based representati...
Modeling vegetation gross primary productivity (GPP) is crucial to understanding the land–atmo...
The purpose of this study was to evaluate 10 process-based terrestrial biosphere models that were us...
Modeling vegetation gross primary productivity (GPP) is crucial to understanding the land–atmosphere...
The purpose of this study was to evaluate 10 process-based terrestrial biosphere models that were us...