Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/19600
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dc.contributor.authorSinha, Ankur
dc.contributor.authorRämö, Janne
dc.contributor.authorMalo, Pekka
dc.contributor.authorKallio, Markku
dc.contributor.authorTahvonen, Olli
dc.date.accessioned2017-06-23T03:47:16Z
dc.date.available2017-06-23T03:47:16Z
dc.date.issued2017
dc.identifier.citationSinha A., Rämö J., Malo P., Kallio M., Tahvonen O. (2017). Optimal management of naturally regenerating uneven-aged forests. European Journal of Operational Research, 256(3), 886-900.en_US
dc.identifier.urihttp://hdl.handle.net/11718/19600
dc.description.abstractA 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.en_US
dc.language.isoen_USen_US
dc.publisherElsevier B.V.en_US
dc.subjectEvolutionary algorithmsen_US
dc.subjectForest managementen_US
dc.subjectNatural resourcesen_US
dc.subjectNonlinear programingen_US
dc.titleOptimal management of naturally regenerating uneven-aged forestsen_US
dc.typeArticleen_US
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