Dynamic global vegetation models are key tools for interpreting and forecasting the responses of terrestrial ecosystems to climatic variation and other drivers. They estimate plant growth as the outcome of the supply of carbon through photosynthesis. However, growth is itself under direct control, and not simply controlled by the amount of available carbon. Therefore predictions by current photosynthesis-driven models of large increases in future vegetation biomass due to increasing concentrations of atmospheric CO 2 may be significant over-estimations. We describe how current understanding of wood formation can be used to reformulate global vegetation models, with potentially major implications for their behaviour
Dynamic global vegetation models (DGVMs) simulate surface processes such as the transfer of energy, ...
Uncertainties surrounding tree carbon allocation to growth are a major limitation to projections of ...
Dynamic global vegetation models (DGVMs) simulate surface processes such as the transfer of energy, ...
Dynamic global vegetation models are key tools for interpreting and forecasting the responses of ter...
This thesis aims to contribute to increased understanding and predictability of vegetation responses...
Increasing CO2 concentrations are strongly controlled by the behavior of established forests, which ...
Realistic forecasting of forest responses to climate change critically depends on key advancements i...
Realistic forecasting of forest responses to climate change critically depends on key advancements i...
Increasing CO 2 concentrations are strongly controlled by the behaviour of undisturbed forests, whic...
Land vegetation is currently taking up large amounts of atmospheric CO2, possibly due to tree growth...
Understanding how the biosphere may respond to increasing trace gas concentrations in the atmosphere...
The LPJ-GUESS dynamic vegetation model uniquely combines an individual- and patch-based representati...
We present an extension of the dynamic global vegetation model, Lund-Potsdam-Jena Managed Land (LPJm...
Increasing CO2 concentrations are strongly controlled by the behavior of established forests, which ...
Uncertainties surrounding tree carbon allocation to growth are a major limitation to projections of ...
Dynamic global vegetation models (DGVMs) simulate surface processes such as the transfer of energy, ...
Uncertainties surrounding tree carbon allocation to growth are a major limitation to projections of ...
Dynamic global vegetation models (DGVMs) simulate surface processes such as the transfer of energy, ...
Dynamic global vegetation models are key tools for interpreting and forecasting the responses of ter...
This thesis aims to contribute to increased understanding and predictability of vegetation responses...
Increasing CO2 concentrations are strongly controlled by the behavior of established forests, which ...
Realistic forecasting of forest responses to climate change critically depends on key advancements i...
Realistic forecasting of forest responses to climate change critically depends on key advancements i...
Increasing CO 2 concentrations are strongly controlled by the behaviour of undisturbed forests, whic...
Land vegetation is currently taking up large amounts of atmospheric CO2, possibly due to tree growth...
Understanding how the biosphere may respond to increasing trace gas concentrations in the atmosphere...
The LPJ-GUESS dynamic vegetation model uniquely combines an individual- and patch-based representati...
We present an extension of the dynamic global vegetation model, Lund-Potsdam-Jena Managed Land (LPJm...
Increasing CO2 concentrations are strongly controlled by the behavior of established forests, which ...
Uncertainties surrounding tree carbon allocation to growth are a major limitation to projections of ...
Dynamic global vegetation models (DGVMs) simulate surface processes such as the transfer of energy, ...
Uncertainties surrounding tree carbon allocation to growth are a major limitation to projections of ...
Dynamic global vegetation models (DGVMs) simulate surface processes such as the transfer of energy, ...