Optimal management of naturally regenerating uneven-aged forests

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Sinha , A , Rämö , J V I , Malo , P , Kallio , M & Tahvonen , O I 2017 , ' Optimal management of naturally regenerating uneven-aged forests ' , European Journal of Operational Research , vol. 256 , no. 3 , pp. 886–900 . https://doi.org/10.1016/j.ejor.2016.06.071

Title: Optimal management of naturally regenerating uneven-aged forests
Author: Sinha, Ankur; Rämö, Janne Veli Ilmari; Malo, Pekka; Kallio, Markku; Tahvonen, Olli Ilari
Contributor organization: Department of Forest Sciences
Economic-ecological optimization group
Environmental and Resource Economics
Forest Economics, Business and Society
Date: 2017-02-01
Language: eng
Number of pages: 15
Belongs to series: European Journal of Operational Research
ISSN: 0377-2217
DOI: https://doi.org/10.1016/j.ejor.2016.06.071
URI: http://hdl.handle.net/10138/307539
Abstract: 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.
Subject: 4112 Forestry
512 Business and Management
Peer reviewed: Yes
Rights: other
Usage restriction: openAccess
Self-archived version: acceptedVersion

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