Many environmental and agricultural challenges rely on the proper understanding of water ow and solute transport in soils, for example the carbon cycle, crop growth, irrigation scheduling or fate of pollutants in subsoil. Current modeling approaches typically simulate plant uptake via empirical approaches, which neglect the three-dimensional (3D) root architecture. Yet, nowadays 3D soil-root water and solute models on plant-scale exist, which can be used for assessing the impact of root architecture and root and soil hydraulic resistances on the root uptake pattern and solute transport and water ow in soil. In this thesis, we used a numerical model, which oers the possibility to describe soil and root interaction processes in a mechanistic manner avoiding empirical descriptions of root water uptake as a function of averaged water potential and root length density. Water ow is simulated along water potential gradients in the soil-root continuum and the model accounts for solute movement and root solute uptake. Solute movement in soils is modeled with a particle tracking algorithm. With this model, three research questions are investigated. The rst study investigates how root water uptake aects the velocity eld, and thus the dispersivity length. The solute breakthrough curves from the three-dimensional results and dierent simulation setups were tted with an equivalent one-dimensional ow and transport model. The obtained results of the apparent soil dispersivities show the eect of the plant roots on solute movement, and illustrate the relevance of small scale 3D water and solute uxes, induced by root water and nutrient uptake. Second, we show how local matric and osmotic potentials aect root water uptake. We analyze the dierence between upscaled time and root-zone integrated water potentials, as often measured in experimental studies, and local water potentials at the root-soil interface. In addition, we demonstrate the relation between the shape of local stress function and the global (time-integrated) plant stress response to salinity. The last part explores how water uptake could be deduced from tracer concentration distribution monitored in a soil-plant system by magnetic resonance imaging (MRI). We show the eects of root system architecture, ne rootsand root conductance on solute and compare numerical and measured data. This shows the capabilities and limitations of both, the model prediction and the MRI measurement methodology. Furthermore, it points out the extensive eect of root architecture and its conductance parameters on solute spreading.