Soil classification:

Lectures and exercises on the principles of soil classification, diagnostic layer/characteristics. Regional distribution. Use of information on global and regional basis. Use of classification keys and interpretation of classification nomenclature based on the world¿s most commonly used classification systems e.g. FAO 1974/1998, World reference base 2006, and Soil Taxonomy, 1999.  

Process Modelling in Soil Systems:

Lectures and practical exercises on the computer, using the object-oriented program Vensim. Soil processes as e.g. carbon and nitrogen turnover are modelled by using  0th , 1st  and 2nd  order reaction, as well as  Michaelis-Menten kinetics. In addition, the course involves modeling of mineral weathering as  equilibrium reactions. Simple transport of water and solutes in catchments is also included. Model results are compared with analytical solutions. Furthermore, model parameterization, sensitivity  and scenario analysis are performed. 

Spatial variability:

Lectures and exercises in geostatistics and a simple GIS model. The lectures will focus on geostatistical tools and how they are linked to GIS. A case study using soil data will be used to produce a map and interpret the variability with respect to relevant ecosystem services.

The overall aim of this course is to provide students with tools for understanding complex processes in soils, that regulate their properties and that are of crucial importance for downstream effects, including climate change and water quality. Emphasize will be on spatial effects, both locally and globally. This is knowledge that is important for sustainable use and management of different ecosystems. Providing students with problem-solving and critical-thinking skills necessary for optimal soil management and environmental protection.

After completing the course, students will be able to:

Soil classification

1.      give an account of the local, regional and global distribution, formation, characteristics and use of the important soil types in the world,

2.      express the important characteristics of soil based on classification nomenclature

Process modelling

3.      formulate, solve, apply and present simple models for major processes in soils and whole ecosystems.

4.      show insight into quantitative causal connections in soil, (water and plant) systems

5.      implement, interpret and present model sensitivity and scenario analyses.

Spatial variation

6.      understand the key geographic information system (GIS) functions (store, manipulate, analyze, and display spatial data)

7.      develop problem-solving and critical-thinking skills necessary to use GIS in the characterization and management of soils

8.      perform some basic geostatistics (regression-kriging, semi-variograms, continuous and class variables)