A computer-based optimization model for multiple use forest management planning: a case study from Turkey

Keles S., Baskent E. Z.

SCIENTIA FORESTALIS, vol.39, no.89, pp.87-95, 2011 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 39 Issue: 89
  • Publication Date: 2011
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.87-95
  • Karadeniz Technical University Affiliated: Yes


Multiple-use forest management planning focuses on developing alternative management strategies to achieve a desired flow of products and benefits from the forest ecosystem over time. A forest management planning model is indispensable to generate planning alternatives and determine an optimal management schedule. This research has developed an optimization model for multiple use forest management planning. A number of applications and analyses are performed by using the model. The main objective of these applications is to assess the effects of different minimum cutting ages and some forest management policy constraints on timber production, carbon sequestration, oxygen production, soil erosion and water production in a forest management unit in Turkey. Based on a reference case, results showed that increasing the minimum cutting ages by 10 and 20 years decreased the net present value (NPV) of timber by 19.25% and 42.16%, respectively. With a reduction of 20 years, however, total timber production, carbon sequestration and oxygen production increased by 37.74%, 12.1% and 12.1%, respectively. On the other hand, the amounts of soil erosion and water production decreased by 3.18% and 1.2%, respectively. Results showed that volume control policies decreased the amounts of the NPV of timber production (between 24.19% and 45.3%), carbon sequestration and oxygen production (between 9.01% and 20.25%). It was also estimated that a model including a regulated timber volume constraint resulted in an increase in the amounts of water production and soil erosion (between 1.71% and 5.09%) compared to an unconstrained model.