Abstract
This chapter deals with the basic principles underlying the optimum economic management of the industrial forest plantations. With this purpose the presentation will start with the introduction of basic concepts of the investment analysis, which will serve as a basis for explaining the tools most usually employed for analysing the profitability of this kind of investments. After this, the concept as well as the optimum economic determination of the forest rotation age will be analysed. Once the investment analysis and optimal forest rotation concepts have been reviewed, we focus in the basic aspects of forest valuation. Finally, an operations research technique used to optimize stand management planning decisions, as dynamic programming, will be shown.
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References
Amacher G (1997) The design of forest taxation: a synthesis with new directions. Silva Fenn 31:101–119
Amacher G, Brazee R, Thompson T (1991) The effects of forest productivity taxes on rotation age and initial stand investment. For Sci 37:1099–1118
Amidon EL, Akin GS (1968) Dynamic programming to determine optimum levels of growing stock. For Sci 14:278–291
Arthaud GJ, Klemperer WD (1988) Optimizing high and low thinnings in loblolly pine with dynamic programming. Can J For Res 18:1118–1122
Bettinger P, Boston K, Siry JP, Grebner DI (2009) Forest management and planning. Academic Press, Burlington
Borges JG, Falcão A (1999) Programação dinâmica e gestão de povoamentos com estrutura regular e composição pura. Aplicação à Mata Nacional de Leiria. Revista Florestal XII(1/2):69–82
Borges JG, Nordström EM,Garcia-Gonzalo J, Hujala T, Trasobares A (eds) (2014) Computer-based tools for supporting forest management. The experience and the expertise world-wide. SLU University Press (in press)
Boulding KE (1935) The theory of a single investment. Q J Econ 49:475–494
Brodie JD, Adams DM, Kao C (1978) Analysis of economic impacts on thinning and rotation for Douglas-fir, using dynamic programming. For Sci 24:513–522
Buongiorno J, Zhu S, Zhang D, Turner J (2003) The global forest products model. Structure, estimation and applications. Academic Press, San Diego
Campbell H, Brown R (2003) Benefit-cost analysis. Cambridge University Press, New York
Chang S (1983) Rotation age, management intensity and the economic factors of timber production: do changes in stumpage price, interest rate, regeneration cost, and forest taxation matter? For Sci 29:257–277
Davis LS, Johnson KN, Bettinger PS, Howard TE (2001) Forest management, 4th edn. McGraw-Hill, New York
Diaz-Balteiro L, Rodriguez LCE (2006) Optimal rotations on Eucalyptus plantations including carbon sequestration – a comparison of results in Brazil and Spain. For Ecol Manag 229:247–258
Diaz-Balteiro L, Romero C (1994) Rentabilidad económica y turnos óptimos de choperas en España (Economic profitability and financial rotations of poplar plantations in Spain). Investig Agrar Sist Recur For 3:43–56
Diaz-Balteiro L, Romero C (2001) Forest management and carbon captured: analytical aspects and policy implications. Investig Agrar Sist Recur For Fuera de Serie 1:153–165
Falcão A (1998) DUNAS – a growth model for the national forest of Leiria. In: Proceedings of the IUFRO workshop empirical and process-based models for forest tree and stand growth simulation, Oeiras, 21–27 Setembro 1997
Faustmann M (1849) Gerechnung des werteswelchenWaldbodensowienochnichthaubareholzbestäncefüe die Waldwirts-chafbesitzen. Allg Forst Jagdztg 25:441–455. English version: J Forest Econ 1995, 1:7–44
Ferreira L, Constantino M, Borges JG (2011) A stochastic approach to optimize Maritime pine (Pinus pinaster Ait) stand management scheduling under fire risk. An application in Portugal. Ann Oper Res. doi:10.1007/s10479-011-0845-z
Ferreira L, Constantino M, Borges JG, Garcia-Gonzalo J (2012) A stochastic dynamic programming approach to optimize short-rotation coppice systems management scheduling. An application to eucalypt plantations under wildfire risk in Portugal. For Sci 58:353–365
Fisher I (1930) The theory of interest. Macmillan, London
Gamponia V, Mendelsohn R (1987) The economic efficiency of forest taxes. For Sci 33:367–378
Götze U, Northcott D, Schuster P (2008) Investment appraisal. Methods and models. Springer, Berlin
Gunn E (2005) A neuro-dynamic programming approach to the optimal stand management problem. In: Bevers,M, Barrett TM comps. Systems analysis in forest resources: proceedings of the 2003 symposium. General technical report PNW-GTR-656. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, Portland OR, pp 265–272
Gunter JE, Hanley HL (1984) Essentials of forestry investment analysis. Oregon State University Bookstores, Corvallis, OR 97339
Guo B, Peyron J-L (1995) Optimiser la sylviculture à lon terme des peuplements forestiers équiennes grâce au logiciel Sylopt. Rév For Fr nº sp. 120–130
Haight RG, Smith WD (1991) Harvesting loblolly pine plantations with hardwood competition and stochastic prices. For Sci 37:1266–1282
Haight RG, Brodie JD, Dahms WG (1985) A dynamic programming algorithm for optimization of Lodgepole pine management. For Sci 31:321–330
Hallett JT, Díaz-Calvo J, Villa-Castillo J, Wagner MR (2011) Teak plantations: economic bonanza or environmental disaster? J For 109:288–292
Hartman R (1976) The harvesting decision when a standing forest has value. Econ Inq 16:52–58
Healy MJ Jr, Bergquist K (1994) The sales comparison approach and timberland valuation. Apprais J 62:587–595
Hoganson HM, Borges JG, Wei Y (2008) Coordinating management decisions of neighboring stands with dynamic programming. In: von Gadow K, Pukkala T (eds) Designing green landscapes. Managing forest ecosystems, vol 15. Springer, Dordrecht, pp 187–214
Hotelling H (1925) A general mathematical theory of depreciation. J Am Stat Assoc 20:340–353
Hughell D (1991) Modelo preliminar para la predicción del rendimiento de Gmelina arborea Roxb. En América Central. Silvoenergía (C.R.) No. 44, pp 1–4
IVSC (2013) The valuation of forests – exposure draft. International Valuation Standards Council, London. 29 pp. http://www.ivsc.org/sites/default/files/Forestry%20TIP%20Exposure%20Draft_0.pdf
Johansson PO, Löfgren KG (1985) The economics of forestry and natural resources. Basil Blackwell, Oxford
Kula E (1984) Derivation of social time preferences rates for the United Sates and Canada. Q J Econ 99:873–883
Kula E (1985) Derivation of social time preferences rates for the United Kingdom. Environ Plann A 17:199–212
Löfgren KG (1983) The Faustmann-Ohlin theorem: a historical note. Hist Polit Econ 15:261–264
Marco R (2011) Propuesta de incorporación del aprovechamiento trufero en el paraje de La Umbría, Codes (Guadalajara). Trabajo Fin de Carrera. ETS Ingenieros de Montes, Madrid (not published)
Medema EL, Lyon GW (1985) The determination of financial rotation ages for coppicing tree species. For Sci 31:398–404
Norstrom CJ (1975) A stochastic model for the growth period decision in forestry. Swed J Econ 77:329–337
Ohlin B (1921) Till fragan om skogarnas omloppstid. EkonomiskTidskrift 22:89–113. English version, in J Forest Econ,1995 1:89–114
Peak R, Neale B (2006) Corporate finance and investment decisions & strategies, 5th edn. FT Prentice Hall, London
Pelkki M (1997) The effects of neighborhood storage size on dynamic programming solutions. For Sci 43:387–395
Pressler MR (1860) Aus der Holzzuwachlehre (zweiterArtikel). Allg Forst Jagdztg 36:173–191. English version, in J For Econ 1995, 1:45–87
Rodríguez LCE, Santos Bueno AR, Rodrigues F (1997) Rotações de eucaliptos mais longas: análise volumétrica e económica (Longer eucalypt rotations: volumetric and economic analysis). Sci For 51:15–28
Rojas F, Arias D, Moya R, Meza A, Murillo O, Arguedas M (2004) Manual para productores de melina (Gmelina arbórea) en Costa Rica. FONAFIFO, San José
Romero C (1997) Economía de los Recursos Ambientales y Naturales. Alianza Editorial, Madrid
Romero C, Ríos V, Díaz-Balteiro L (1998) Optimal forest rotation age when carbon captured is considered: theory and applications. J Oper Res Soc 49:121–131
Rose DW, Borges JG, Pelkki MH (1995) Forest management planning based on stand level decisions. North J Appl For 12(3):133–142
Samuelson PA (1976) Economics of forestry in a evolving society. Econ Inq 14:466–492
Sen AK (1967) The social time preference rate in relation to the market rate of interest. Q J Econ 81:112–124
Tait DE (1986) A dynamic programming solution of financial rotation ages for coppicing tree species. Can J For Res 16:799–801
Téllez E, González M, De los Santos HM, Fierros AM, Lilieholm RJ, Gómez A (2008) Rotación óptima en plantaciones de eucalipto al incluir ingresos por captura de carbono en Oaxaca, México (Optimal timber rotation lengths in eucalyptus plantations including revenues from carbon capture in Oaxaca, México). Rev Fitotec Mex 31:173–182
Wagner JE (2012) Forestry economics. A managerial approach. Routledge, New York
Zamudio FJ, Romo JL, Cervantes JOA (2010) Evaluaciónfinanciera y de riesgo de una plantación forestal comercial en Zihuateutla, Puebla. (Financial and risk assessment of a commercial forest plantation in Zihuateutla, Puebla). Rev Chapingo 16:69–78
Zinkhan FC, Sizemore WR, Mason GH, Ebner TJ (1992) Timberland investments. A portfolio perspective. Timber Press, Portland
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Diaz-Balteiro, L., Romero, C., Rodriguez, L.C.E., Nobre, S.R., Borges, J.G. (2014). Economics and Management of Industrial Forest Plantations. In: Borges, J., Diaz-Balteiro, L., McDill, M., Rodriguez, L. (eds) The Management of Industrial Forest Plantations. Managing Forest Ecosystems, vol 33. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-8899-1_5
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DOI: https://doi.org/10.1007/978-94-017-8899-1_5
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