Knowledge transfer to forestry and conservation

Apart from generating new information, knowledge and understanding of boreal forest biodiversity, this project seriously aims at answering questions that are of concern to forestry and conservation. Knowledge transfer from this project to forestry and conservation is unlikely to be entirely successful unless this task is fully integrated into the project and unless there is an experienced person who is responsible of this task. The primary responsibilities of the person to be hired are to be well informed about the needs of forestry and conservation for ecological knowledge; to help manage the project in such a way that relevant knowledge will be acquired; and to effectively disseminate the results to forestry and conservation.

Means of achieving knowledge transfer

  • The person to be hired will keep the board of PIs (see Section 5) well informed about what kind of specific knowledge is required in forestry and conservation. The board of PIs makes sure that all persons involved in the project are aware of the potential significance of their research
  • A data base will be created that helps in the maintenance and retrieval of relevant information. Anju Asunta's project involves an extensive study of the relevant literature (see Section 9), and her results will form a part of the relevant data base
  • A key aim of the modelling task (Task 4) is to produce practical models that can be used in forest management and conservation. The person to be hired will work closely with the post doc in Task 4 to achieve these aims
  • Generally, the person to be hired will actively interpret the results of this project in the context of forestry and practical conservation.

The research group is described in the following table (PI=Principal Investigator, FFIF=Finnish Forest Industries Federation, UH=University of Helsinki)

Name (organization)
Suvi Raivio (FFIF) PI

Anju Asunta (UH)
post doc (UH)
landscape ecological forest planning
literature review
practical implementation