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Research article2014Peer reviewed

Questioning the contemporary forest planning paradigm: making use of local knowledge

Eriksson Ljusk, Ola; Wahlberg, Olof; Nilsson, Malin

Abstract

The forest planning system of large Swedish forest owners follows a three step procedure: long-term, medium-term, and short-term planning. The system is sequential and hierarchical in the sense that longer-term plans form the framework for shorter-term plans, and that top-level management prepares the long range plans and the lower management levels develop plans with successively shorter horizons. Studies indicate that this approach does not fully use existing knowledge within the organization. Problems associated with the top-down approach are also recognized in the general literature on organization and management. A proposal for a bottom-up approach is developed that aim at the use of local level knowledge to enhance accuracy and applicability of the forest plans. After top-level management has issued some fundamental planning directives, medium-term planning is conducted by the districts. Then the district plans are consolidated at the top-level for coordination and revision. A simulated planning process provides an illustration of the approach. The Heureka system is used here to optimize harvests and road costs with a mixed integer programming model of the problem, spanning 10 years with three seasons per year. The importance of detailed local knowledge to the outcome of planning is indicated, and needs for continued decision support systems development is discussed.

Keywords

knowledge management; mixed integer programming; hierarchical planning; bottom-up planning; planning dialog

Published in

Scandinavian Journal of Forest Research
2014, Volume: 29, number: Supplement 1, SI, pages: 56-70
Publisher: TAYLOR & FRANCIS AS

      SLU Authors

      • Sustainable Development Goals

      SDG9 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation

      UKÄ Subject classification

      Forest Science

      Publication identifier

      DOI: https://doi.org/10.1080/02827581.2013.834960

      Permanent link to this page (URI)

      https://res.slu.se/id/publ/63870