Abstract
This paper analyses the potential allowable cut of Finland based on nonindustrial private forest (NIPF) landowners’ choices as to timber management strategies. Alternative timber management strategies were generated, and the choices and factors affecting the preference of strategies by NIPF landowners were studied. Timber management strategy choices were determined by maximising the utility functions of the NIPF landowners. The parameters of the utility functions were estimated using the analytic hierarchy process (AHP). The level of the potential allowable cut was compared to cutting budgets based on the 7th and 8th national forest inventories (NFI7 and NFI8), to combined private forestry plans, and to the actual harvest from nonindustrial private forests. The potential allowable cut was calculated using the same MELA system as has been used in the calculation of the national cutting budget. The potential allowable cut defined in the study was 19% higher than the average of the actual harvest during the years 1989–1994. Correspondingly, the potential allowable cut defined in the present study was 13% lower than the NFI8-based greatest sustained allowable cut for the 1990s. Using the method presented in this study, which is based on choices of timber management strategies, regular cutting budgets can be calculated more realistically than before.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Apostolou, B. and Hassell, J. M. 1993. An empirical examination of the sensitivity of the analytic hierarchy process to departures from recommended consistency ratios. Mathematical and Computer Modelling 17: 163–170.
Boyd, R. G. 1984. Government support of nonindustrial production: The case of private forests. South. J. Ecoa 51:89–107.
Forest 2000 Program. 1985. Main Report. Council of Economics. Section of the Forest 2000 Program.
Hansson, K., Lönnstedt, L. and Svensson, J. 1990. Decision support system for nonindustrial private forest owners. Swedish University of Agricultural Sciences. Dep. For.Ind.Market Studies. Rep. 12.
Hirshleifer, J. 1984. Price theory and applications. Prentice-Hall. 536 p.
Hyberg, B. T. 1987. Multiattribute decision theory and forest management: A discussion and application. Forest Science 33: 835–845.
Johnson, K. N. and Jones, D. B. 1986. A user’s guide to multiple use — sustained yield resource scheduling calculation (MUSYC): Timber management, USDA Forest Service, Washington DC.
Jonsson, B., Jacobsson, J. and Kallur, H. 1993. The forest management planning package. Theory and application. Studia Forestalia Suecica 189. 56 p.
Kajanus, M, Kurttila, M. and Pesonen, M. 1998. A simultaneous equation model for predicting the production frontier of a forest holding. Canadian Journal of Forest Research 28:1851–1860.
Kangas, J. 1992. Multiple-use planning of forest resources by using the Analytic Hierarchy Process. Scand. J. For. Res. 7: 259–268.
Kangas, J. and Pukkala, T. 1992. A decision theoretic approach applied to goal programming of forest management. Silva Fennica 26:169–176.
Kast, E. K. and Rosenzweig, J. E. 1974. Organization and management. A systems approach. Second edition. 389 p.
Kilkki, P. 1968. Income-oriented cutting budget. Acta Forestalia Fennica 91:1–54.
Kilkki, P., Maltamo, M., Mykkänen, R. and Päivinen, R. 1989. Use of the Weibull function in estimating the basal area dbh-distribution. Silva Fennica 23: 311–318.
Kilkki, P. and Siitonen, M. 1976. Principles of a Forest Information System. XVI IUFRO World Congress, Division IV. Proceedings, p. 154–163.
Kurttila, M, Pesonen, M., Kangas, J. and Kajanus, M. 1998. Utilizing the analytical hierarchy process (AHP) in SWOT analysis — A hybrid method and its application to a forest-certification case. Forest Policy and Economics. In print.
Laasasenaho, J. and Päivinen, R. 1986. Kuvioittaisen arvioinnin tarkistamisesta. Summary: On the checking of inventory by compartments. Folia Forestalia 664. 19 p.
Laskey, K. B. and Fischer, G. W. 1987. Estimating utility functions in the presence of response error. Manage. Sci. 33:965–980.
Lönnstedt, L. 1989. Goals and cutting decisions of private small forest owners. Scand. J. For. Res. 4:259–265.
Lönnstedt, L. and Törnqvist, T. 1990. The Owner, the Estate and the External Influences: Nonindustrial private forest owners’ management decisions. Swedish University of Agricultural Sciences. Dep. of Forest-Industry-Market Studies. Report No. 14. Uppsala, Sweden.
Lönnstedt, L and Roos, A. 1993. Cutting Levels for Nonindustrial Forestry: An estimate based on the state of forests and the goals of forest owners. Swedish University of Agricultural Sciences. Dep. of Forest-Industry-Market Studies. Report No. 26. Uppsala, Sweden.
Mendoza, G. A. and Sprouse, W. 1989. Forest planning and decision making under fuzzy environments: An overview and illustration. Forest Science 35: 481–502.
Mykkänen, R. 1994. Aspiration-based utility functions in a planning model for timber flow manangement. Acta Forestalia Fennica 245. 66 p.
Pesonen, M. 1995. Nonindustrial private forest landowners’ choices of timber management strategies and potential allowable cut. Acta Forestalia Fennica 247. 31 p.
Pesonen, M. 1996. Estimation of potential allowable cut using modeling of landowners’ strategic decision making. Dissertation. Finnish Forest Research institute, Research Papers 625. 56+ 83 p.
Pesonen, M., Kettunen, A., Heikkinen V.-P. and Räsänen, P. 1994. Yksityismetsänomistajien puuntuotantostrategi at ja potentiaaliset hakkuumahdollisuudet Pohjois-Savossa. Metsäntutkimuslaitoksen tiedonantoja 515. 50 p.
Pesonen, M. and Räsänen, P. 1993. Metsäverovalinta — strateginen ratkaisu. Metsäntutkimuslaitoksen tiedonantoja 472. 78 p.
Pesonen, M. and Soimasuo J. 1998. Tilakohtaisen kestävyyden vaikutus suuralueen kestäviin hakkuumahdollisuuksiin — tapaustutkimus Satakunnan metsälautakunnan alueella. Metsätieteen aikakauskirja — Folia Forestalia 1/1998: 43–51.
Pihljerta, K. 1994. Maatilalaskennan tilastoja 1988–1994. Verohallitus.
Pukkala, T. and Kangas, J. 1993. A heuristic optimization method for forest planning and decision making. Scandinavian Journal of Forest Research 8: 560–570.
Ranta, R. 1991. Metsätalouden suunnittelulaskelmat. In: Tapion taskukirja. 21. painos. Kustannusosakeyhtiö Metsälehti, p. 334–337.
Saaty, T. L. 1977. A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology 15: 234–281.
Saaty, T. L. 1980. The Analytic Hierarchy Process. McGraw-Hill. New York. 287 p.
Sevola, Y. (Eds.) 1998. Metsätilastollinen vuosikirja 1998-Skogsstatistisk årsbok-Finnish Statistical Yearbook of Forestry. 348 p. SVT Maa-ja metsätalous 1997:4. 348 p.
Siitonen, M. 1983. A Long-Term Forestry Planning System Based on Data from the Finnish National Forest Inventory. Proceedings of the IUFRO subject group 4.02 meeting in Finland. University of Helsinki, Dep. of Forest Mensuration and Management, Research Notes 17. p. 195–207.
Siitonen, M. 1993. Experiences in the Use of Forest Management Planning Models. Silva Fennica 27 (2). p. 167–178.
Tell, B. 1976. A comparative study of some multiple-criteria methods. The Economic Research Institute at the Stockholm School of Economics. 203 p.
Wardle, P. A. 1965. Forest management and operational research: a linear programming study. Ser. B, Management science 11: 260–270.
Ware, G. O. and Clutter, J. L. 1971. Mathematical programming system for the management of industrial forests. Forest Science 17(4): 428–445.
Wedley, W. C. 1993. Consistency prediction for incomplete AHP matrices. Mathematical and Computer Modelling. 17: 151–161.
von Winterfeldt, D. and Edwards, W. 1986. Decision analysis and behavioral research. Cambridge University Press. Cambridge. 604 p.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Pesonen, M. (2001). Potential Allowable Cut of Finland Using the AHP to Model Landowners’ Strategic Decision Making. In: Schmoldt, D.L., Kangas, J., Mendoza, G.A., Pesonen, M. (eds) The Analytic Hierarchy Process in Natural Resource and Environmental Decision Making. Managing Forest Ecosystems, vol 3. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9799-9_11
Download citation
DOI: https://doi.org/10.1007/978-94-015-9799-9_11
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-5735-8
Online ISBN: 978-94-015-9799-9
eBook Packages: Springer Book Archive