Because forest responses to CO$\sb2$ fertilization and associated climate change are likely to be extremely complex, numerical models representing forest response to an integrated set of future conditions can be useful predictive tools. I compared predictions of forest net primary productivity (NPP) made by two ecosystem process models (PnET-II and TEM 4.0) using different climate scenarios, spatial resolutions, and methods of representing land cover and soils. Decreasing spatial resolution did not appreciably change NPP estimates. Input datasets, particularly climate, land cover, and soil water holding capacity, were important sources of variability in NPP estimates. These datasets interacted with model structures to produce significant va...
Predicting long-term trends in forest growth requires accurate characterisation of how the relations...
Large changes in atmospheric CO2, temperature, and precipitation are predicted by 2100, yet the long...
Predicting long-term trends in forest growth requires accurate characterisation of how the relations...
Because forest responses to CO$\sb2$ fertilization and associated climate change are likely to be ex...
This thesis stems from several ongoing efforts to characterize patterns of productivity and nitrogen...
Rapid and simultaneous changes in temperature, precipitation and the atmospheric concentration of CO...
Because model predictions at continental and global scales are necessarily based on broad characteri...
Accurate estimation of forest net primary productivity (NPP), biomass, and their sensitivity to chan...
Forest ecosystems represent the dominant form of land cover in the northeastern United States and ar...
We used the PnET-II model of forest carbon and water balances to estimate regional forest productivi...
Terrestrial primary production—the carbohydrates produced by plants via photosynthesis—is the entry ...
In this dissertation I assessed the potential hydrochemical responses of future climate change condi...
We use the terrestrial ecosystem model (TEM), a process-based model, to investigate how interactions...
This dataset includes aboveground biomass (AGB) growth trajectories for the first 300 years of fores...
Climate, tree species traits, and soil fertility are key controls on forest productivity. However, i...
Predicting long-term trends in forest growth requires accurate characterisation of how the relations...
Large changes in atmospheric CO2, temperature, and precipitation are predicted by 2100, yet the long...
Predicting long-term trends in forest growth requires accurate characterisation of how the relations...
Because forest responses to CO$\sb2$ fertilization and associated climate change are likely to be ex...
This thesis stems from several ongoing efforts to characterize patterns of productivity and nitrogen...
Rapid and simultaneous changes in temperature, precipitation and the atmospheric concentration of CO...
Because model predictions at continental and global scales are necessarily based on broad characteri...
Accurate estimation of forest net primary productivity (NPP), biomass, and their sensitivity to chan...
Forest ecosystems represent the dominant form of land cover in the northeastern United States and ar...
We used the PnET-II model of forest carbon and water balances to estimate regional forest productivi...
Terrestrial primary production—the carbohydrates produced by plants via photosynthesis—is the entry ...
In this dissertation I assessed the potential hydrochemical responses of future climate change condi...
We use the terrestrial ecosystem model (TEM), a process-based model, to investigate how interactions...
This dataset includes aboveground biomass (AGB) growth trajectories for the first 300 years of fores...
Climate, tree species traits, and soil fertility are key controls on forest productivity. However, i...
Predicting long-term trends in forest growth requires accurate characterisation of how the relations...
Large changes in atmospheric CO2, temperature, and precipitation are predicted by 2100, yet the long...
Predicting long-term trends in forest growth requires accurate characterisation of how the relations...