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iForest - Biogeosciences and Forestry

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Integrating forest-based industry and forest resource modeling

Ragnar Jonsson   , Francesca Rinaldi, Minna Räty, Ola Sallnäs

iForest - Biogeosciences and Forestry, Volume 9, Issue 5, Pages 743-750 (2016)
doi: https://doi.org/10.3832/ifor1961-009
Published: Aug 12, 2016 - Copyright © 2016 SISEF

Research Articles


This paper introduces a modeling approach for the assessment of policy options within the forest-based bioeconomy. The feedback between the forestry dynamics model and the economic model of the global forest-based sector of the proposed framework is essential, not only for response analysis as to the development of forest resources and for a correct assessment of future harvesting potentials, but also for the assessment of the impact of different management regimes on wood-based product markets. Test runs of the modeling framework on a Swedish case highlight the necessity of considering timber assortments for a comprehensive integration of forest resources and wood-based commodity market dynamics. Hence, the composition of harvest demand in terms of timber assortment affects the allocation of harvesting activities and, consequently, the development of forest resources (and thus future harvest potentials), as well as the production, trade and consumption of wood-based products.

  Keywords


Policy, Bioeconomy, Wood-based Products, Market, Forest Resources

Authors’ address

(1)
Ragnar Jonsson
Francesca Rinaldi
Minna Räty
Ola Sallnäs
European Commission, Joint Research Centre (JRC), Institute for Environment and Sustainability (IES), Forest Resources and Climate Unit, v. E. Fermi 2749, I-21027 Ispra (Italy)

Corresponding author

 
Ragnar Jonsson
ragnar.jonsson@telia.com

Citation

Jonsson R, Rinaldi F, Räty M, Sallnäs O (2016). Integrating forest-based industry and forest resource modeling. iForest 9: 743-750. - doi: 10.3832/ifor1961-009

Academic Editor

Luca Salvati

Paper history

Received: Dec 21, 2015
Accepted: Jul 01, 2016

First online: Aug 12, 2016
Publication Date: Oct 13, 2016
Publication Time: 1.40 months

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