PhD course: Forest modelling for PhD students, 4.5 ECTS
The course aims to build a strong understanding of forest models, especially for sustainable forestry and decision-making. It covers different modelling approaches (empirical and process-based), their data needs, uses, strengths, and limitations.
Start date: 30 September 2026 08:00
End date: 1 November 2026 00:00
Language: English
Last day of registration: 10 May 2026
Organiser: Department of Southern Swedish Forest Research Centre
Location: Alnarp
Students analyze key forest variables (e.g., volume, biomass, carbon) and study processes like growth, regeneration, and mortality using data and simulations. Learning is supported through lectures, assignments, group work, and field trips, while developing skills such as critical thinking, data analysis, teamwork, and communication.
Upon successful completion of the course, students should be able to:
- Design field trials based on statistical principles to ensure valid and reliable results.
- Discuss and critically examine the characteristics and limitations of main types of forest growth models.
- Use models to analyze forest dynamics under different environmental conditions and management scenarios.
Study pace is 60%.
For more information on the course please read the course syllabus