| Statuss(Aktīvs) | Izdruka | Arhīvs(0) | Studiju plāns Vecais plāns | Kursu katalogs | Vēsture |
| Course title | Multifunctional Forest Management Planning I |
| Course code | MežZ4093 |
| Credit points (ECTS) | 3 |
| Total Hours in Course | 81 |
| Number of hours for lectures | 16 |
| Number of hours for seminars and practical classes | 16 |
| Independent study hours | 49 |
| Date of course confirmation | 15/10/2019 |
| Responsible Unit | Institute of Forest Management |
| Course developers | |
| Ph.D., asoc. prof. Baiba Jansone Dr. silv., vad.pētn. Dagnis Dubrovskis |
|
| There is no prerequisite knowledge required for this course | |
| Course abstract | |
| The course learns knowledge of forest management planning in time and space. Information on forest ecological, economic and social functions is provided. Forest valuation and forest multifunctional use management planning models are learned, optimization of forest management planning, forestry risk management, SVID analysis; | |
| Learning outcomes and their assessment | |
| The student understands the ecological, economic and social functions of the forest (1st test) and the fundamental principles of sustainable forestry, can include them in formulating the objectives of the forest management purpose and its achievement (2nd test).
Understand the necessity and planning process of economic activity planning (3rd test). A student is able to use different methods of forest management planning, plan silvicultural events in time and space, plan financial flows in forest management and calculate forest value (Practical work). The student has mastered data processing programs, data mining methods, sources and other forest management planning decision support tools (Workshops). |
|
| Course Content(Calendar) | |
| 1. Forest organization as a forest inventory, forestry organization design system. (Lecture)
2. Information and planning process. (Lecture) 3. Ecological, economic and social functions of forests, integrated forest management. (Practical work) 4. Optimal forest, optimization methods (Lecture) 5. Linear optimization. (Lecture + Practical work) (2 h) 1. test 6. Criteria and Indicators for evaluation Sustainable Forest Management. (Lecture) 7. Forest management techniques, their ecological, social and economic justification. (Lecture + Practical work) (2 h) 8. Tree felling age. Forest Readiness (Natural, Regeneration, Quantitative). (Practical work) 9. Forest Readiness (Forest Economic Readiness). (Lecture + Practical work) (2 h) 10. Modelling principles for forest stand development. (Lecture + Practical work) (2 h) 11. Principles of forestry work planning. (Lecture + Practical work) (2 h) 2. test 12. Regulatory and strategic planning. (Lecture + Practical work) (2 h) 13. Principles of planning annual felling volumes. (Lecture + Practical work) (2 h) 14. Methods for planning annual felling volumes. (Lecture + Practical work) (2 h) 15. Assessing tree felling volumes, assessment criteria and indicators. (Practical work) 16. Multi-purpose forest management planning. (Lecture + Practical work) (2 h) 3. test Workshops: Forest management planning decision support tools (8h) |
|
| Requirements for awarding credit points | |
| All independent work must be submitted, all tests written. | |
| Description of the organization and tasks of students’ independent work | |
| Practical works should be developed:
Normal forest theory; Growth Modeling; Optimal modelling of forest management target and tree felling parameters; Optimization Methods, Linear and Genetic Optimization; Spatial planning of economic actions. |
|
| Criteria for Evaluating Learning Outcomes | |
| Lecture attendance and learning of theoretical knowledge, learning and fulfillment of practical work tasks. The final score consists of an average mark of 3 tests (60%), 2 workshop results (10% + 10%) and 20% for students' independent work results. | |
| Compulsory reading | |
| Klemperer W.D. Forest Resource Economics and Finance. New York: McGraw-Hill, 1996, 551 p. Maltamo M. Forest inventory: methodology and applications. Dordrecht: Springer, 2006. 362 p. | |
| Further reading | |
| Markus R. Ostwald’s Relative Forest Rent Theory. BLV Baierischer Landwirtshaftsverlag GmbH, München Basel Wien, 1967. 128 p. Jacobson J., Jonsson B. The forest management planning package. Sveriges Lantbruksuniversitet, 1993. 56 p. Pieejams: https://pub.epsilon.slu.se/4062/1/SFS189.pdf | |
| Periodicals and other sources | |
| 1. Baltijas Koks. ISSN 1407-6667
2. Meža Avīze. ISSN 1047-6187 3. Baltic Forestry. ISSN 1392-1355 |
|
| Notes | |
| For academic bachelor study program “Sustainable forestry” students | |