Large changes in atmospheric CO2, temperature, and precipitation are predicted by 2100, yet the long-term consequences for carbon (C), water, and nitrogen (N) cycling in forests are poorly understood. We applied the PnET-CN ecosystem model to compare the long-term effects of changing climate and atmospheric CO2 on productivity, evapotranspiration, runoff, and net nitrogen mineralization in current Great Lakes forest types. We used two statistically downscaled climate projections, PCM B1 (warmer and wetter) and GFDL A1FI (hotter and drier), to represent two potential future climate and atmospheric CO2 scenarios. To separate the effects of climate and CO2, we ran PnET-CN including and excluding the CO2 routine. Our results suggest that, with ...
There is some uncertainty whether net ecosystem productivity (NEP) of boreal black spruce forests is...
Forests are dynamic in both structure and species composition, and these dynamics are strongly influ...
Climate change introduces considerable uncertainty in forest management planning and outcomes, poten...
Large changes in atmospheric CO2, temperature, and precipitation are predicted by 2100, yet the long...
Forest ecosystems represent the dominant form of land cover in the northeastern United States and ar...
Rapid and simultaneous changes in temperature, precipitation and the atmospheric concentration of CO...
A critical component of assessing the impacts of climate change on forest ecosystems involves unders...
Projections of terrestrial carbon (C) dynamics must account for interannual variation in ecosystem C...
Projections of terrestrial carbon (C) dynamics must account for interannual variation in ecosystem C...
Dynamic hydrochemical models are useful tools for understanding and predicting the interactive effec...
Predicting long-term trends in forest growth requires accurate characterisation of how the relations...
The response of forests to climate change depends in part on whether the photosynthetic benefit from...
Climate change is highly likely to impact on forest productivity over the next century. The directio...
The large magnitude of predicted warming at high latitudes and the potential feedback of ecosystems ...
Net primary production (NPP) is defined as the rate at which carbon (C) is accumulated by autotrophs...
There is some uncertainty whether net ecosystem productivity (NEP) of boreal black spruce forests is...
Forests are dynamic in both structure and species composition, and these dynamics are strongly influ...
Climate change introduces considerable uncertainty in forest management planning and outcomes, poten...
Large changes in atmospheric CO2, temperature, and precipitation are predicted by 2100, yet the long...
Forest ecosystems represent the dominant form of land cover in the northeastern United States and ar...
Rapid and simultaneous changes in temperature, precipitation and the atmospheric concentration of CO...
A critical component of assessing the impacts of climate change on forest ecosystems involves unders...
Projections of terrestrial carbon (C) dynamics must account for interannual variation in ecosystem C...
Projections of terrestrial carbon (C) dynamics must account for interannual variation in ecosystem C...
Dynamic hydrochemical models are useful tools for understanding and predicting the interactive effec...
Predicting long-term trends in forest growth requires accurate characterisation of how the relations...
The response of forests to climate change depends in part on whether the photosynthetic benefit from...
Climate change is highly likely to impact on forest productivity over the next century. The directio...
The large magnitude of predicted warming at high latitudes and the potential feedback of ecosystems ...
Net primary production (NPP) is defined as the rate at which carbon (C) is accumulated by autotrophs...
There is some uncertainty whether net ecosystem productivity (NEP) of boreal black spruce forests is...
Forests are dynamic in both structure and species composition, and these dynamics are strongly influ...
Climate change introduces considerable uncertainty in forest management planning and outcomes, poten...