Forest Modelling
Entry Requirements
120 credits
60 credits within one of the following subjects/main fields of study
- forestry science
- forest science
- forest management
- biology
- environmental sciences
- natural resource management
English 6.
Course facts
- Course name
- Forest Modelling
- Swedish course name
- Skoglig modellering
- Level
- Second cycle (A1N)
- Main field of study
- Forestry Science
- Credits
- 7.5 credits
- Rate of study
- 100 %
- Study location
- Alnarp
- Form of instruction
- Campus-based instruction
- Application code
- SLU-10295
- Course code
- SV0058
- Course language
- English
- Included in program
-
Euroforester (MSc)
- Offered as a freestanding course
- Ja
- Tuition fee
-
19030 SEK
Tuition fees only for non-EU/EEA/Switzerland citizens
SV0058, Forest Modelling, 7.5 Hp
Print syllabus
Syllabus
Finalized by: Ordföranden för programnämnden för utbildning inom skog (PN-S), 2023-12-22
Valid from : Autumn semester 2025 (2025-09-01)
Level
Second cycle (A1N)
Main field of study
Forestry Science
Sub-area forestry science
Natural processes 7,5 credits
Grading Scale
The grade requirements within the course grading system are set out in specific criteria. These criteria must be available by the course start at the latest.
Course language
English
Entry Requirements
120 credits
60 credits within one of the following subjects/main fields of study
- forestry science
- forest science
- forest management
- biology
- environmental sciences
- natural resource management
English 6.
Objectives
The overall goal of the course is to give students an in-depth understanding of forest models with a focus on sustainable forestry.
Upon successful completion of the course, students will be able to
- describe the experimental design and develop forest field trials, as well as analyze and evaluate forest field trialsiscuss and critically examine the characteristics and limitations of different forest production models
- describe and analyse empirical and mechanistic models
- use models to analyse and present interactions between forest growth, stock dynamics and climate effects through the use of survey material and experimental data.
Content
The course gives students the ability to perform analyses of forest development with the help of forest production models and insight into what data and information are needed to develop and apply these models. Students also learn the difference between empirical and mechanistic models, their areas of use, and the limitations of the different model types.
The course covers forest models and concepts needed for an in-depth understanding of forest production and for climate-adapted sustainable forest management. Study topics include experimental design of field trials and how to analyse important variables such as basal area, volume, biomass, and carbon. In addition, important processes with regard to forest modelling are studied, such as regeneration and growth, stand structure and competition, and various site variables including climate data.
To further student learning and promote discussion, a variety of methods are used: Lectures, literature studies, seminars, individual assignments, group work, exercises, and field excursions.
Exercises, group work and individual assignments consist of literature studies and of analysis of theoretical and practical questions with the help of statistical data processing and simulation tools.
The course focuses on the following generic competencies: Information competence, critical thinking and reflection, problem solving, scientific methods, digital competence, use of technology, oral and written communication, teamwork.
The following course components are compulsory: Individual and group assignments, seminars and field excursions.
Examination Formats and Requirements for Passing the Course
Approved written exercises. Completed compulsory components.
Responsible Department/Equivalent
Department of Southern Swedish Forest Research Centre
Supplementary information
Included in program
- Euroforester (MSc)
Module set
| Title | Credits | Code |
|---|---|---|
| Single module | 7.5 | 0001 |
The Course Replaces
SG0276
Other Information
The course is mainly campus-based but can be adapted to distance education if needed.
Appia Mensah A., Holmström E., Petersson H., Nyström K., Mason EG., Nilsson U. 2021. Forest Ecology and Management 481.
Appia Mensah A., Petersson H., Dahlgren J., Elfving B. 2023. Taller and slenderer trees in Swedish forests according to data from the National Forest Inventory. Forest Ecology and Management. 527.
Battaglia M., Sands PJ. 1997. Process-based forest productivity modela and their application in forest management. Forest Ecology and Management. 102.
Elfving, B. 2010. Growth modelling in the Heureka system. SLU-Faculty of Forestry. Stencil.
Fridman J., Holm S., Nilsson M., Nilsson P., Ringvall AH., Ståhl G. 2014. Adapting Ntional Forest Inventories to changing requirements – the case of the Swedish National Forest Inventory at the turn of the 20th century. Silva Fennica. http://dx.doi.org/10.14214/sf.1095
Garcia O. 1993. Stand growth models: Theory and practice. Advancement in Forest Inventory and Forest Management Sciences - Proceedings of the IUFRO Seoul Conference (pp.22-45).
Goude M., Nilsson U., Holmström E. 2019. Comparing direct and indirect leaf area measurements for Scots pine and Norway spruce plantations in Sweden. European Journal of Forest Research.
Goude M., Nilsson U., Mason E., Vico G. 2022. Comparing basal area growth models for Norway spruce and Scots pine dominated stands. Silva Fennica 56.
Landsberg JJ., Waring RH. 1997. A generalized model of forest productivity using simplified concepts of radiation-use efficiency, carbon balance and partitioning. Forest Ecology and Management. 95.
Mason EG., Methol R., Cochrane H. 2011. Hybrid mensorational and physiological modelling of growth and yield of Pinus radiata D. Don. using potentially useable radiation sums. Forestry. 84.
Mohren GMJ., Burkhart HE. 1994. Contrasts between biologically-based process models and management-oriented growth and yield. Forest Ecology and Management. 69.
Siipilehto J., Allen M., Nilsson U., Brunner A., Huuskonen S., Haikarainen S., Subramaninan N., Anton-Fernandez C., Holmström E., Andreassen K., Hynynen J., 2020. Stand-level mortality models for Nordic boreal forests. Silva Fennica 54.
Twery MJ. 2004. Modelling in Forest management. In: Wainwright, John; Mulligan, Mark, eds. Environmental modelling: Finding Simplicity in Complexity. London, John Wiley & Sons.
Vanclay JK. 1994. Modelling Forest Growth and Yield. CAB International, Wallingford UK.
Vanclay JK. 2011. Modelling continuous cover forests. In Pukkala T., von Gadow K. eds. Continuous cover forestry. Springer.
Weiskittel AR., Hann DW., Kershaw JA., Vanclay JK. Forest growth and yield modeling. 2011. Wiley-Blackwell.
academic year 2025/2026
Forest Modelling (SV0058-10295)
2025-10-26 - 2025-11-16
Contact
- Course coordinator
- Renats Trubins
- Course administrator
- Desiree Mattsson
- Examiner
- Renats Trubins