Optimal management of naturally regenerating uneven-aged forests

Ankur Sinha, Janne Veli Ilmari Rämö, Pekka Malo, Markku Kallio, Olli Ilari Tahvonen

Research output: Contribution to journalArticleScientificpeer-review


A shift from even-aged forest management to uneven-aged management practices leads to a problem rather different from the existing straightforward practice that follows a rotation cycle of artificial regeneration, thinning of inferior trees and a clearcut. A lack of realistic models and methods suggesting how to manage uneven-aged stands in a way that is economically viable and ecologically sustainable creates difficulties in adopting this new management practice. To tackle this problem, we make a two-fold contribution in this paper. The first contribution is the proposal of an algorithm that is able to handle a realistic uneven-aged stand management model that is otherwise computationally tedious and intractable. The model considered in this paper is an empirically estimated size-structured ecological model for uneven-aged spruce forests. The second contribution is on the sensitivity analysis of the forest model with respect to a number of important parameters. The analysis provides us an insight into the behavior of the uneven-aged forest model.
Original languageEnglish
JournalEuropean Journal of Operational Research
Issue number3
Pages (from-to)886–900
Number of pages15
Publication statusPublished - 1 Feb 2017
MoE publication typeA1 Journal article-refereed

Fields of Science

  • 4112 Forestry
  • 512 Business and Management

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