INF-31806 Models for Ecological Systems

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Studiepunten 6.00

Language of instruction:

English

Contents:

Systems approaches are widely used in education, research and management to understand, analyse and manage systems with the help of simulation models.
The first topic is related to the content of simulation models of eco-environmental systems and the associated (agro)ecological, chemical and physical processes.
The second topic introduces a Good Modelling Practice approach, i.e. how to design, build, analyse, and use simulation models to solve certain aspects of problems. Good Modelling Practice facilitates the (re)construction of a model based management study, which allows others to audit and evaluate the overall quality of these studies.
Furthermore, attention will be paid to apply a complex existing model to solve real-world problems in the domain of Forest and Nature Conservation and Ecology, and to learn judge such models.
Finally, students will develop their own so-called mini-model that are simplified versions of the complex case models. In both the complex case models and the mini-models students will apply what they learned on model content and on Good Modelling Practice

Learning outcomes:

After successful completion of this course students are expected to be able to:
- apply modelling according to Good Modelling Practice (GMP). This includes problem analysis, data requirement analysis, conceptual modelling, mathematical modelling, numerical integration, model analysis, model application, interpretation of results and activities to enable re-use of models and model components;
- evaluate models for complex, real world, problem solving in the context of ecological systems according to GMP principles. This includes identifying completeness and adequacy of required input, and checking and interpreting output;
- practice mathematical formulations of some elementary (agro)ecological, chemical and physical processes, as part of such models;
- explain the concepts and basics of mathematical simulation models consisting of algebraic and/or differential equations. This includes state variables, rate variables and driving variables, feedback, time coefficient, conceptual model diagram, analysis of units, and numerical integration methods;
- develop, test and analyse small models.

Activities:

Classroom lectures (25%), mini-models (15%), practical training (30%), problem oriented education (30%).

Examination:

Written exam, group work, presentations.

Literature:

Reader and course outline available, see http://www.ldi.wur.nl/UK/