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Land expectation values for spruce and beech calculated with Monte Carlo modelling techniques

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  • Dieter, Matthias

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  • Dieter, Matthias, 2001. "Land expectation values for spruce and beech calculated with Monte Carlo modelling techniques," Forest Policy and Economics, Elsevier, vol. 2(2), pages 157-166, June.
    • Handle: RePEc:eee:forpol:v:2:y:2001:i:2:p:157-166
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    1. Samuelson, Paul A, 1976. "Economics of Forestry in an Evolving Society," Economic Inquiry, Western Economic Association International, vol. 14(4), pages 466-492, December.
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    1. Staupendahl, Kai & Möhring, Bernhard, 2011. "Integrating natural risks into silvicultural decision models: A survival function approach," Forest Policy and Economics, Elsevier, vol. 13(6), pages 496-502, July.
    2. L. Ferreira & M. Constantino & J. Borges, 2014. "A stochastic approach to optimize Maritime pine (Pinus pinaster Ait.) stand management scheduling under fire risk. An application in Portugal," Annals of Operations Research, Springer, vol. 219(1), pages 359-377, August.
    3. Félix Bastit & David W. Shanafelt & Marielle Brunette, 2023. "Stability and resilience of a forest bio-economic equilibrium under natural disturbances," Working Papers of BETA 2023-18, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    4. Thomas Knoke & Michael Weber, 2006. "Expanding Carbon Stocks in Existing Forests – A Methodological Approach for Cost Appraisal at the Enterprise Level," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 11(3), pages 579-605, May.
    5. Accastello, Cristian & Blanc, Simone & Mosso, Angela & Brun, Filippo, 2018. "Assessing the timber value: A case study in the Italian Alps," Forest Policy and Economics, Elsevier, vol. 93(C), pages 36-44.
    6. Roessiger, Joerg & Griess, Verena C. & Härtl, Fabian & Clasen, Christian & Knoke, Thomas, 2013. "How economic performance of a stand increases due to decreased failure risk associated with the admixing of species," Ecological Modelling, Elsevier, vol. 255(C), pages 58-69.
    7. Knoke, Thomas & Gosling, Elizabeth & Thom, Dominik & Chreptun, Claudia & Rammig, Anja & Seidl, Rupert, 2021. "Economic losses from natural disturbances in Norway spruce forests – A quantification using Monte-Carlo simulations," Ecological Economics, Elsevier, vol. 185(C).
    8. Nürnberger, Karin & Hahn, Andreas & Jörg, Rößiger & Thomas, Knoke, 2013. "Unerwünschte Effekte der Einkommensteuergesetzgebung auf die Wahl waldbaulicher Alternativen: Eine Simulationsstudie aus der Sicht eines risikomeidenden Entscheiders," 53rd Annual Conference, Berlin, Germany, September 25-27, 2013 156102, German Association of Agricultural Economists (GEWISOLA).
    9. Friedrich, Stefan & Paul, Carola & Brandl, Susanne & Biber, Peter & Messerer, Katharina & Knoke, Thomas, 2019. "Economic impact of growth effects in mixed stands of Norway spruce and European beech – A simulation based study," Forest Policy and Economics, Elsevier, vol. 104(C), pages 65-80.
    10. Félix Bastit & Marielle Brunette & Claire Montagne-Huck, 2021. "Earth, wind and fire: A multi-hazard risk review for natural disturbances in forests," Working Papers of BETA 2021-25, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    11. Thomas Knoke & Carola Paul & Elizabeth Gosling & Isabelle Jarisch & Johannes Mohr & Rupert Seidl, 2023. "Assessing the Economic Resilience of Different Management Systems to Severe Forest Disturbance," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(2), pages 343-381, February.
    12. Thiele, Jan C. & Nuske, Robert S. & Ahrends, Bernd & Panferov, Oleg & Albert, Matthias & Staupendahl, Kai & Junghans, Udo & Jansen, Martin & Saborowski, Joachim, 2017. "Climate change impact assessment—A simulation experiment with Norway spruce for a forest district in Central Europe," Ecological Modelling, Elsevier, vol. 346(C), pages 30-47.
    13. Fuchs, Jasper M. & v. Bodelschwingh, Hilmar & Lange, Alexander & Paul, Carola & Husmann, Kai, 2022. "Quantifying the consequences of disturbances on wood revenues with Impulse Response Functions," Forest Policy and Economics, Elsevier, vol. 140(C).
    14. Knoke, Thomas & Kindu, Mengistie & Jarisch, Isabelle & Gosling, Elizabeth & Friedrich, Stefan & Bödeker, Kai & Paul, Carola, 2020. "How considering multiple criteria, uncertainty scenarios and biological interactions may influence the optimal silvicultural strategy for a mixed forest," Forest Policy and Economics, Elsevier, vol. 118(C).
    15. Clasen, Christian & Griess, Verena C. & Knoke, Thomas, 2011. "Financial consequences of losing admixed tree species: A new approach to value increased financial risks by ungulate browsing," Forest Policy and Economics, Elsevier, vol. 13(6), pages 503-511, July.
    16. Petucco, Claudio & Andrés-Domenech, Pablo, 2018. "Land expectation value and optimal rotation age of maritime pine plantations under multiple risks," Journal of Forest Economics, Elsevier, vol. 30(C), pages 58-70.
    17. Hahn, W. Andreas & Härtl, Fabian & Irland, Lloyd C. & Kohler, Christoph & Moshammer, Ralf & Knoke, Thomas, 2014. "Financially optimized management planning under risk aversion results in even-flow sustained timber yield," Forest Policy and Economics, Elsevier, vol. 42(C), pages 30-41.
    18. J. Garcia-Gonzalo & T. Pukkala & J. Borges, 2014. "Integrating fire risk in stand management scheduling. An application to Maritime pine stands in Portugal," Annals of Operations Research, Springer, vol. 219(1), pages 379-395, August.
    19. Newman, D.H., 2002. "Forestry's golden rule and the development of the optimal forest rotation literature," Journal of Forest Economics, Elsevier, vol. 8(1), pages 5-27.
    20. Härtl, Fabian & Knoke, Thomas, 2014. "The influence of the oil price on timber supply," Forest Policy and Economics, Elsevier, vol. 39(C), pages 32-42.

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