Course code NOVA-401

NOVA-401 Decision Oriented Data Acquisition Strategies for Analysis of Sustainable Forestry

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Showing course contents for the educational year 2017 - 2018 .

Course responsible: Terje Gobakken
Teachers: Tron Haakon Eid, Erik Næsset, Annika Susanna Kangas
ECTS credits: 3
Faculty: Faculty of Environmental Sciences and Natural Resource Management
Teaching language: EN
(NO=norsk, EN=Engelsk)
Teaching exam periods:

Teaching: spring 2016, dates for on-site course: 23-27 May 2016

Evaluation: spring 2016

Course frequency: The course is offered if funding is granted by NOVA.
First time: Study year 2015-2016
Last time: 2018V
Preferential right:
Students on PhD level have number one prioritiy. Master's students may inquire vacancy for PhD courses from the contact listed on the course's NOVA webpage.
Course contents:

The course will provide a general and practical view as well as a deeper scientific understanding of challenges related to data acquisition, data use and decision support systems where the uncertainty and value of information in a decision-oriented cost-benefit concept will be focused. The multi-disciplinary aspects of forest management planning will be addressed.

Content The course will focus on studying decision-oriented data acquisition strategies for analysis of a sustainable forestry, i.e. to follow the information flow from the inventory to the final managerial decision.  The course includes elements from forest management planning, forest inventory, forest production, and forest economics, and will be based on statistical methods as well as theoretical and empirical modelling approaches. Key words: data requirements, monetary value of information, inventory methods and sampling theory, models describing forest dynamics, errors and uncertainty, and decisions-support systems applicable in forest management planning.

Programme Outline

  • Pre-campus assignments including reading of course portifolio.
  • Week 21:
  •  
    • 23 May
      • Course introduction
      • Decision-making in forestry
      • Overview of data acquisition techniques
      • Data requirements and the value of information in decision-making
      • Inventory and planning procedures in Norway
    • 24 May
      • Introduction to sampling
      • Planning sampling surveys
      • Important forestry applications in sampling
      • Remote sensing
      • Inventory and planning procedures in Sweden
    • 25 May
      • Error sources in field and remotely sensed data
      • Comparing photo interpretation and laser-scanning by means of cost-plus-loss analyses
      • Inventory and planning procedures in Finland
    • 26 May
      • Exercises strategic planning
      • Effects of errors on decisions
    • 27 May
      • Presenting results from exercises and discussion
      • Course round up, report supervision, evaluations and closing
  • Post-campus assignment and preparing reports for course evaluation
Learning outcome:

Knowledge:

  • Understand the framework and steps in forest management planning
  • Know important data acquisition theory related to sampling and data acquisition
  • Understand the concept of decision-oriented inventory planning and monetary value of information (VOI)
  • Know important aspects of similarities and differences in forest management planning in the Nordic countries

Skills:

  • Describe and quantify errors in forest inventories
  • Apply relevant decision-support systems in forest management planning
  • Apply analyses quantifying VOI for decision-making in forestry

Competences:

  • Synthesize knowledge and skills related to VOI in forest management planning
  • Apply planning of forest inventories with focus on cost-benefit in a decision-oriented framework
Learning activities:
The course includes lectures, data exercises, group work, oral presentations and writing of an essay. Lectures will be given by leading scientist from the Nordic countries. Relevant literature according to different subjects will be selected and sent to the participants prior to the course.
Syllabus:
Relevant literature according to different subjects will be selected and sent to the participants prior to the course.
Recommended prerequisites:
Enrolled as a Ph.D student in forest management planning, forest inventory, silviculture, forest economics or related subjects.
Mandatory activity:
Participation on the on-site course.
Assessment:
  • Approval of the written summary related to each participant's Ph.D project.
  • Approval of exercises.
  • Approval of a written essay related to the course content.
Nominal workload:
  • 20 hours seminar
  • 20 hours lecture
  • 50 hours independent work
Entrance requirements:

Enrolled as a Ph.D student in forest management planning, forest inventory, silviculture, forest economics or related subjects.  

Students on PhD level have number one prioritiy. Master's students may inquire vacancy for PhD courses from the contact listed on the course's NOVA webpage.

Type of course:
  • 20 hours seminar
  • 20 hours lecture
Note:

This is a joint Nordic NOVA PhD course organised by Professor Terje Gobakken, Department of Ecology and Natural Resource Management (INA), NMBU. Teachers and researchers from NMBU and the Swedish Agricultural University (SLU) teach on the course.

Please see the course description on NOVA's website for more information on the course.

Examiner:
Examination details: :