Elevated concentrations of heavy metals in natural soils and waters possibly deteriorate soil and water ecosystem functioning. In view of precautionary risk assessment, the concept of critical loads was developed for heavy metals, being the load below which selected receptors are protected at steady state, i.e. with inputs and outputs of metals being in equilibrium (see Chap. 7). Given the long times it takes for metal concentrations to reach steady state, the use of dynamic models should be considered to manage and evaluate the risks of metal loads in time ). Moreover, key processes determining the fate of metals are related to soil properties such as pH and the concentration of dissolved organic matter (DOM), both being subject to changes due to external factors such as land use change, climate change and atmospheric deposition of nitrogen. Dynamic models help to understand the complex interactions of processes due to such external factors and give insight into the timescales at which changes take effect.Metal transfers in ecosystems are complex, but by identifying and quantifying key processes it is possible to produce useful descriptions of metal behaviour in soils and catchments with models that can be driven with limited data. Here we describe three models, which aim to capture the key processes determining the fate of metals in natural ecosystems, differing in complexity, while keeping the data demand limited. Identified key factors for the fate of metals in soils are the pH and concentrations of soil-and dissolved organic matter (SOM, DOM), which are related to sorption of metals to reactive surfaces (organic matter, oxides, clay). The models discussed in this chapter all combine predictions of soil acidity and major soil solution chemistry with heavy metal behaviour.