Forest Modelling
Course evaluation
Syllabus and other information
Syllabus
SV0058 Forest Modelling, 7.5 Credits
Skoglig modelleringSubjects
Forestry ScienceEducation cycle
Master’s levelModules
| Title | Credits | Code |
|---|---|---|
| Single module | 7.5 | 0001 |
Advanced study in the main field
Second cycle, has only first-cycle course/s as entry requirementsMaster’s level (A1N)
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.
Language
EnglishPrior knowledge
The equivalent of120 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.
Grading form
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.Formats and requirements for examination
Approved written exercises.
Completed compulsory components.
If a student has failed an examination, the examiner has the right to issue supplementary assignments. This applies if it is possible and there are grounds to do so.
The examiner can provide an adapted assessment to students entitled to study support for students with disabilities following a decision by the university. Examiners may also issue an adapted examination or provide an alternative way for the students to take the exam.
If this syllabus is withdrawn, SLU may introduce transitional provisions for examining students admitted based on this syllabus and who have not yet passed the course.
For the assessment of an independent project (degree project), the examiner may also allow a student to add supplemental information after the deadline for submission. Read more in the Education Planning and Administration Handbook.
Other information
The right to participate in teaching and/or supervision only applies for the course instance the student was admitted to and registered on.
If there are special reasons, students are entitled to participate in components with compulsory attendance when the course is given again. Read more in the Education Planning and Administration Handbook.
Additional information
The course is mainly campus-based but can be adapted to distance education if needed.Responsible department
Department of Southern Swedish Forest Research Centre
Further information
Litterature list
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.