Linear optimization of forest management for dynamic recursive model

Authors

  • Olga Turkovska Lviv Polytechnic National University International Institute for Applied Systems Analysis 1 Schlossplatz, Laxenburg, Austria, A-2361, Austria https://orcid.org/0000-0002-8797-1349
  • Mykola Gusti Lviv Polytechnic National University Ecosystems Services and Management Program. International Institute for Applied Systems Analysis 1 Schlossplatz, Laxenburg, Austria, A-2361, Austria
  • Pekka Lauri Ecosystems Services and Management Program. International Institute for Applied Systems Analysis 1 Schlossplatz, Laxenburg, Austria, A-2361, Austria
  • Nicklas Forsell Ecosystems Services and Management Program International Institute for Applied Systems Analysis 1 Schlossplatz, Laxenburg, Austria, A-2361, Austria
  • Petr Havlík Ecosystems Services and Management Program. International Institute for Applied Systems Analysis 1 Schlossplatz, Laxenburg, Austria, A-2361, Austria
  • Michael Obersteiner Ecosystems Services and Management Program. International Institute for Applied Systems Analysis 1 Schlossplatz, Laxenburg, Austria, A-2361, Austria https://orcid.org/0000-0001-6981-2769

DOI:

https://doi.org/10.15587/1729-4061.2015.50966

Keywords:

forest management, linear programming, age structure, forest value, forest management model, dynamic recursive model

Abstract

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.

Author Biographies

Olga Turkovska, Lviv Polytechnic National University International Institute for Applied Systems Analysis 1 Schlossplatz, Laxenburg, Austria, A-2361

Postgraduate student

Department of International Information

Research Assistant

Mykola Gusti, Lviv Polytechnic National University Ecosystems Services and Management Program. International Institute for Applied Systems Analysis 1 Schlossplatz, Laxenburg, Austria, A-2361

PhD, Doctoral candidate

Department of International Information

Research Scholar

Pekka Lauri, Ecosystems Services and Management Program. International Institute for Applied Systems Analysis 1 Schlossplatz, Laxenburg, Austria, A-2361

PhD, Research Scholar

Nicklas Forsell, Ecosystems Services and Management Program International Institute for Applied Systems Analysis 1 Schlossplatz, Laxenburg, Austria, A-2361

PhD, Research Scholar

Petr Havlík, Ecosystems Services and Management Program. International Institute for Applied Systems Analysis 1 Schlossplatz, Laxenburg, Austria, A-2361

PhD, Senior Research Scholar

Michael Obersteiner, Ecosystems Services and Management Program. International Institute for Applied Systems Analysis 1 Schlossplatz, Laxenburg, Austria, A-2361

PhD, Program Director

References

  1. Buongiorno, J., Gilless, K. J. (2003). Decision Methods for Forest Management. San Diego: Academic Press, 439.
  2. Pretzsch, H. (2009). Forest Dynamics, Growth and Yield. From Measurement to Model. Berlin Heidelberg: Springer-Verlag, 664. doi: 10.1007/978-3-540-88307-4
  3. Fontes, L., Bontemps, J.-D., Bugmann, H., Oijen, M. Van, Gracia, C., Kramer, K. et. al. (2010). Models for supporting forest management in a changing environment. Forest Systems, 3 (4), 8–29. doi: 10.5424/fs/201019S-9315
  4. Amacher, G., Ollikainen, M., Koskela, E. (2009). Economics of Forest Resources. Cambridge MA: MIT Press, 423.
  5. Baskent, E. Z., Keles, S. (2005). Spatial forest planning: A review. Ecological Modelling, 188 (2-4), 145–173. doi: 10.1016/j.ecolmodel.2005.01.059
  6. Sjølie, H. K., Latta, G. S., Trømborg, E., Bolkesjø, T. F., Solberg, B. (2015). An assessment of forest sector modeling approaches: conceptual differences and quantitative comparison. Scandinavian Journal of Forest Research, 30 (1), 60–72. doi: 10.1080/02827581.2014.999822
  7. McDill, M. E. (1999). Forest Value. In M.E. McDill, Forest Resources Management. Available at: https://www.courses.psu.edu/for/for466w_mem14/PDFs/Ch7_ForestValue.PDF
  8. Gusti, M., Kindermann, G. (2011). An approach to modeling landuse change and forest management on a global scale. Proceedings, 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2011). Noordwijkerhout, 180–185.
  9. Havlík, P., Schneider, U. A., Schmid, E., Böttcher, H., Fritz, S., Skalský, R. et. al. (2011). Global land-use implications of first and second generation biofuel targets. Energy Policy, 39 (10), 5690–5702. doi: 10.1016/j.enpol.2010.03.030
  10. FAO (2015). Forestry Production and Trade. Retrieved from Food and Agriculture Organization of the United Nations: Statistics Division. Available at: http://faostat3.fao.org/browse/F/FO/E
  11. Gusti, M. I. (2010). An algorithm for simulation of forest management decisions in the global forest model. Artificial Intelligence, 4, 45–49.
  12. State agency of forest resources of Ukraine (2015). Retrieved from State agency of forest resources of Ukraine. Available at: http://dklg.kmu.gov.ua/forest/control/uk/index

Downloads

Published

2015-10-23

How to Cite

Turkovska, O., Gusti, M., Lauri, P., Forsell, N., Havlík, P., & Obersteiner, M. (2015). Linear optimization of forest management for dynamic recursive model. Eastern-European Journal of Enterprise Technologies, 5(4(77), 12–18. https://doi.org/10.15587/1729-4061.2015.50966

Issue

Section

Mathematics and Cybernetics - applied aspects