An integrated mcda software application for forest planning: A case study in southwestern Sweden

Mathematical and Computational Forestry and Natural-Resource Sciences

Volumn 3, Issue 2, 2011, Pages 75-86

  Korosuo, Anu ^a   Wikström, Peder ^a   Öhman, Karin ^a   Eriksson, Ljusk Ola ^a  

^a SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

Author keywords

AHP; Case study; Forest decision support system; Heureka; Multi criteria decision analysis

Indexed keywords

APPLICATION PROGRAMS; DECISION MAKING; FORESTRY; TIMBER;

EXPERT-ASSISTANCE; FOREST PLANNING; HEUREKA; INDIVIDUAL PREFERENCE; MULTI-CRITERIA DECISION ANALYSIS; PLANNING PROCESS; SOFTWARE APPLICATIONS; TIMBER PRODUCTION;

DECISION SUPPORT SYSTEMS;

DECISION SUPPORT SYSTEM; FORESTRY PRODUCTION; MULTICRITERIA ANALYSIS; PLANNING METHOD; SOFTWARE; TIMBER;

ARTIFICIAL INTELLIGENCE; COMPUTER PROGRAMS; DECISION MAKING; FORESTRY; PLANNING; PRODUCTION; SWEDEN;

SWEDEN;

EID: 84860283440     PISSN: None     EISSN: 19467664     Source Type: Journal    
DOI: None     Document Type: Article

References (26)

1. 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.
2. Belton, V., and T. J. Stewart. 2001. Multiple Criteria Decision Analysis: An integrated approach. Kluwer Academic Publishers. 372 p.
3. Bettinger, P., and J. Sessions. 2003. Spatial forest planning: to adopt, or not to adopt? Journal of Forestry. 101(2): 24-29.
4. Bisschop, J., and M. Roelofs. 1999. AIMMS The user's guide. Paragon Decision Technology B.V. 216 p.
5. EMDS. 2010. The Ecosystem Management Decision Support. Available online at http://www.institute.redlands.edu/emds/Default.aspx; last accessed May 12, 2010.
6. FORSYS 2010. COST Action FP0804 - Forest Management Decision Support Systems (FORSYS). Available online at http://fp0804.emu.ee/wiki/index.php/MainPage; last accessed May 12, 2010.
7. French, S., and D.-L. Xu. 2005. Comparison study of multi-attribute decision analytic software. J. Multi-Crit. Decis. Anal. 13: 65-80.
8. 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.
9. Heureka. 2009. Heureka MediaWiki. Available online at http://heureka.resgeom.slu.se/wiki/index.php?title=HeurekaMediaWiki; last accessed August 15, 2009.
10. Hiltunen, V., M. Kurttila, P. Leskinen, K. Pasanen, and J. Pykäläinen. 2009. Mesta: An internetbased decision-support application for participatory strategic-level natural resources planning. Forest Policy and Economics. 11: 1-9.
11. 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.
12. 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.
13. Kangas, A., J. Kangas, and M. Kurttila. 2008. Decision support for forest management. Springer. 222 p.
14. 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.
15. 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.
16. Koch, T. 2009. ZIMPL User Guide. Available online at http://zimpl.zib.de/download/zimpl.pdf; last accessed May 22, 2010.
17. 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 Agriculture49 (1): 81-102.
18. 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.
19. 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.
20. NCS. 2010. Decision Support Systems Inventory. Available online at http://ncseonline.org/ncssf/dss/Documents/search/complete.cfm; last accessed May 22, 2010.
21. Pukkala, T. 2004. Dealing with ecological objectives in the Monsu planning system. Silva Lus. 12 (Especial): 1-15.
22. 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.
23. nd ed. RWS Publications. 287 p.
24. Simon, H. A. 1960. The new science of management decision. Harper and Row. 50 p.
25. Sveaskog. 2010. Our operations. Available online at http://www.sveaskog.se/en/About-Sveaskog/Our-operations/; last accessed May 26, 2010.
26. 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.