Linear optimization of forest management for dynamic recursive model
DOI:
https://doi.org/10.15587/1729-4061.2015.50966Keywords:
forest management, linear programming, age structure, forest value, forest management model, dynamic recursive modelAbstract
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.
References
- Buongiorno, J., Gilless, K. J. (2003). Decision Methods for Forest Management. San Diego: Academic Press, 439.
- 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
- 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
- Amacher, G., Ollikainen, M., Koskela, E. (2009). Economics of Forest Resources. Cambridge MA: MIT Press, 423.
- 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
- 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
- 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
- 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.
- 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
- 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
- Gusti, M. I. (2010). An algorithm for simulation of forest management decisions in the global forest model. Artificial Intelligence, 4, 45–49.
- 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
How to Cite
Issue
Section
License
Copyright (c) 2015 Mykola Gusti, Olga Turkovska, Lauri Pekka, Nicklas Forsell, Petr Havlík, Michael Obersteiner
This work is licensed under a Creative Commons Attribution 4.0 International License.
The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.
A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.