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.
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.
- Professor Erik Næsset, NMBU
- Professor Tron Eid, NMBU
- Professor Annika Kangas, NMBU
- Professor Terje Gobakken, NMBU
- Professor Göran Ståhl, SLU
Please find more information on the course and how to apply on the course information website: http://www.nmbu.no/en/students/nova/students/phd-courses/phd-2016/node/23525