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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/71030 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/71030 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/71030 archive 351 disk0/00/01/13/43 2016-01-15 08:52:52 2021-08-27 17:24:56 2016-01-15 08:52:52 article show Turkovska O. 8796 Gusti M. 97792 Lauri P. 1965 Forsell N. 1999 Havlik P. 1868 0000-0001-5551-5085 Obersteiner M. 7255 0000-0001-6981-2769 Linear optimization of forest management for dynamic recursive model pub iis_env iis_for iis_mod prog_esm prog_ysp forest management; linear programming; age structure; forest value; forest management model; dynamic recursive model Our study presents development of a forest management model based on LP which can be easily integrated into a large-scale dynamic recursive model and contain the instruments providing future consideration for harvesting plans under recursive limitations. We introduce a general structure and simulation algorithm of the model. The forest management algorithm was tested applying historical data of Ukrainian forests. Obtained modeling results demonstrate a correct age class transition. They prove as well adequacy of utilizing benefit losses and delay costs as regulative mechanisms for temporal allocation of forest harvesting. As far as statistic data concerning age structure of Ukrainian forests are not publicly available, FesT was validated by comparing projected forest age structure with results of Global Forest Model (G4M).The comparison shows that the projections of both models are fairly close to each other. The divergence between the results can be explained by difference in forest management modelling approach. 2015 published Tekhnologicheskii Tsentr 10.15587/1729-4061.2015.50966 XJ-15-219 Eastern-European Journal of Enterprise Technologies; 5(4):12-18 [2015] [doi:10.15587/1729-4061.2015.50966] 313 114 173 93 119 219 public Eastern-European Journal of Enterprise Technologies 5 4 12-18 TRUE 1729-3774 FALSE info:eu-repo/semantics/article