An integrated MCDA software application for forest planning: a case study in southwestern Sweden
Parole chiave:
AHP, case study, forest decision support system, Heureka, multi-criteria decision analysisAbstract
Forest planning in Sweden today translates not only into planning of timber production, but also for the provision of other functions and services. Multi-criteria decision analysis (MCDA) methods provide a way to take also non-monetary values into account in planning. The purpose of this study was to gain experience on how to use a forest decision support system combined with an MCDA tool in practical forestry. We used a new forest planning tool, PlanWise, which includes an integrated MCDA module, PlanEval. Using the software, the decision maker can compare different forest plans and evaluate them against his/her objectives in a structured and analytical manner. The analysis thus provides a ranking of the alternatives based on the individual preferences of the decision maker. PlanEval and the MCDA planning process are described in a case study, where the manager of a forest estate in southwestern Sweden used the program to compare different forest plans made for the estate. In the paper, we analyze possibilities and challenges of this approach and identify problems such asthe adherence to formal requirements of MCDA techniques and the difficulty of comparing maps. Possibilities to expedite an MCDA planning process further are also discussed. The findings confirm that integration of an MCDA tool with a forest decision support system is valuable, but requires expert assistance to be successful.
Keywords: AHP, case study, forest decision support system, Heureka, multi-criteria decision analysis
Riferimenti bibliografici
Ananda, J., and G. Herath. 2009. A critical review of multi-criteria decision making methods with special reference to forest management and planning. Ecological Economics. 68: 2535-2548.
Belton, V., and T. J. Stewart. 2001. Multiple Criteria Decision Analysis: An integrated approach. Kluwer Academic Publishers. 372 p.
Bettinger, P., and J. Sessions. 2003. Spatial forest planning: to adopt, or not to adopt? Journal of Forestry. 101(2): 24-29.
Bisschop, J., and M. Roelofs. 1999. AIMMS - The user's guide. Paragon Decision Technology B.V. 216 p.
EMDS. 2010. The Ecosystem Management Decision Support. Available online at http://www.institute.redlands.edu/emds/Default.aspx; last accessed May 12, 2010.
FORSYS 2010. COST Action FP0804 - Forest Management Decision Support Systems (FORSYS). Available online at http://fp0804.emu.ee/wiki/index.php/Main Page; last accessed May 12, 2010.
French, S., and D.-L. Xu. 2005. Comparison study of multi-attribute decision analytic software. J. Multi-Crit. Decis. Anal. 13: 65-80.
Gunn, E.A. 2007. Models for strategic forest management. P. 317-341 in Handbook of Operations Research in Natural Resources, A. Weintraub, C. Romero, T. Bjørndal, and R. Epstein (Eds.). International Series in Operations Research & Management Science, Vol. 99. Springer.
Heureka. 2009. Heureka MediaWiki. Available online at http://heureka.resgeom.slu.se/wiki/index.php?title=Heureka MediaWiki; last accessed August 15, 2009.
Hiltunen, V., M. Kurttila, P. Leskinen, K. Pasanen, and J. Pykäläinen. 2009. Mesta: An internet-based decision-support application for participatory strategic-level natural resources planning. Forest Policy and Economics. 11: 1-9.
Ingemarsson F., A. Lindhagen and L. Eriksson. 2006. A typology of small-scale private forest owners in Sweden. Scandinavian Journal of Forest Research, 21(3):249-259.
Johnson, K. N., and H. L. Scheurman. 1977. Techniques for prescribing optimal timber harvest and investment under different objectives - Discussion and synthesis. Forest Science Monograph 18: a0001-z0001.
Kangas, A., J. Kangas, and M. Kurttila. 2008. Decision support for forest management. Springer. 222 p.
Kangas, J., and A. Kangas. 2005. Multiple criteria decision support in forest management - the approach, methods applied, and experiences gained. Forest Ecology and Management 207: 133-143.
Kangas, J., L. Hytönen, and T. Loikkanen. 2001. Integrating the AHP and HERO into the process of participatory natural resources planning. P. 131-148 in The Analytic Hierarchy Process in natural resources and environmental decision making, Managing forest ecosystems Vol. 3, D. Schmoldt, J. Kangas, G. A. Mendoza, and M. Pesonen (Eds). Kluwer Academic Publishers.
Koch, T. 2009. ZIMPL User Guide. Available online at http://zimpl.zib.de/download/zimpl.pdf; last accessed May 22, 2010.
Lexer, M.J., H. Vacik, D. Palmetzhofer, G. Oitzinger. 2005. A decision support tool to improve forestry extension services for small private landowners in southern Austria. Computers and Electronics in Agriculture 49 (1): 81-102.
Martell, D.L., E. A. Gunn, and A. Weintraub. 1998. Forest management challenges for operational researchers. European Journal of Operational Research 104(1): 1-17.
Mendoza, G. A., and H. Martins. 2006. Multi-criteria decision analysis in natural resource management: A critical review of methods and new modeling paradigms. Forest Ecology and Management 230: 1-22.
NCS. 2010. Decision Support Systems Inventory. Available online at http://ncseonline.org/ncssf/dss/Documents/search/complete.cfm; last accessed May 22, 2010.
Pukkala, T. 2004. Dealing with ecological objectives in the Monsu planning system. Silva Lus. 12 (Especial): 1-15.
Reynolds, K.M., M. Twery, M.J. Lexer, H. Vacik, D. Ray, G. Shao, and J.G. Borges. 2008. Decision Support Systems in Forest Management. P. 499-533 in Handbook on Decision Support Systems 2: Variations, Burstein, F., and C. W. Holsapple (Eds.). Springer.
Saaty, T.L. 1990. The Analytic Hierarchy Process: Planning, priority setting, resource allocation, 2nd ed. RWS Publications. 287 p.
Simon, H. A. 1960. The new science of management decision. Harper and Row. 50 p.
Sveaskog. 2010. Our operations. Available online at http://www.sveaskog.se/en/About-Sveaskog/Our-operations/; last accessed May 26, 2010.
Wikström, P., L. Edenius, B. Elfving, L. O. Eriksson, T. Lämås, J. Sonesson, K. Öhman, J. Wallerman, C. Waller, and F. Klintebäck. 2011. The Heureka Forestry Decision Support System: An Overview. Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS). Forthcoming.
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