In recent decades, dynamic vegetation models have emerged as a powerful tool for quantifying ecosystem dynamics in response to climate and hydrologic processes. However, state-of-the-art vegetation models typically assume static hydrological conditions, such that the effects of climate and climate change on near surface hydrology are not accurately represented. Vice-versa, hydrological models treat vegetation as a rather static 'green layer' and ignore its dynamic nature in space and time. This topic addresses this gap by quantifying the degree to which hydrologic transients impact predictions from vegetation dynamics models and vice-versa. Our approach involves a step-wise coupling of a dynamic vegetation model with a transient 3D hydrologic model.
The aim of this topic is to develop a general hydrological model which has the similar time and spatial scale with the current vegetation model. The interaction between this two models can be that hydrology model use vegetation properties as input variables (e.g. Leaf area index and root depth), and produce information about hydrodynamics that can feed into vegetation models (e.g. soil moisture, pressure head). After that, couple model types that have not been coupled before.
