Soils play a key role for the functioning of terrestrial ecosystems. Thus, soils are essential for human society not only because they form the basis for the production of food. This has long been recognized, and during the last three decades the need to establish methods to evaluate the ability of soils to provide soil functions has moved toward the top of the agenda in soil science. Quantitative evaluation schemes are indispensable to adequately include soils into strategies to reach sustainable development targets. In this paper we build upon existing approaches and propose a concept to evaluate individual soil functions with respect to the soil's intrinsic potential in contrast to its actual state. This leads to a separation of indicator variables and allows for conclusions on the structure of appropriate models that are required to predict the dynamics of soil functions in response to external perturbation. This concept is demonstrated for the production function, carbon storage and water storage which are evaluated exemplarily for different plots of a long-term field experiment. It is discussed for nutrient cycling and habitat function, where evaluation schemes are still less obvious.

Huge amounts of soil data are recorded in national databases using national nomenclatures. To use them in international context, they have to be harmonized with an international nomenclature. The World Reference Base for Soil Resources (WRB) provides such a framework. We present our approach to retrieve information from existing soil databases and nomenclatures for classifying the soils according to WRB in the form of graphical algorithms. Our study identifies some general mismatches between typical soil profile database structures and the data requirements for testing the presence or absence of WRB diagnostics. In addition, the difficulties originating e.g. from the data structure for recording horizon-related data, differing cl ass limits in national and FAO soil description systems, and ill- determined rules for soil description have to be addressed for proper identification of WRB diagnostics with existing soil data.