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An economic evaluation of strategies for transforming even-aged into near-natural forestry in a conifer-dominated forest in Denmark

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  • Schou, Erik
  • Jacobsen, Jette Bredahl
  • Kristensen, Kristian Løkke
Abstract
Schemes for transformation of even-aged monoculture forest management regimes into near-natural regimes are currently applied throughout the Atlantic region of Europe. This is mainly due to poor ecological stability, low economic performance, and decrease in biodiversity in existing forests. In this study, we analysed the simultaneous transformation of adjacent even-aged stands (a forest division) into mixed conifer/broadleaved stands. The case area is found in a conifer-dominated Danish forest and consists primarily of Norway spruce, European beech, Douglas fir and Sitka spruce. An economic evaluation of several transformation strategies was carried out by simulation. An area based combined Markov chain and Dynamic yield table model was used. Analyses were conducted under risk of wind throw.

Suggested Citation

  • Schou, Erik & Jacobsen, Jette Bredahl & Kristensen, Kristian Løkke, 2012. "An economic evaluation of strategies for transforming even-aged into near-natural forestry in a conifer-dominated forest in Denmark," Forest Policy and Economics, Elsevier, vol. 20(C), pages 89-98.
  • Handle: RePEc:eee:forpol:v:20:y:2012:i:c:p:89-98
    DOI: 10.1016/j.forpol.2012.02.010
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    References listed on IDEAS

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    1. Knoke, Thomas & Seifert, Thomas, 2008. "Integrating selected ecological effects of mixed European beech–Norway spruce stands in bioeconomic modelling," Ecological Modelling, Elsevier, vol. 210(4), pages 487-498.
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    7. Knoke, Thomas & Moog, Martin & Plusczyk, Niels, 2001. "On the effect of volatile stumpage prices on the economic attractiveness of a silvicultural transformation strategy," Forest Policy and Economics, Elsevier, vol. 2(3-4), pages 229-240, July.
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    Cited by:

    1. M. Brunette & M. Hanewinkel & R. Yousefpour, 2020. "Risk aversion hinders forestry professionals to adapt to climate change," Climatic Change, Springer, vol. 162(4), pages 2157-2180, October.
    2. Julie Thomas & Marielle Brunette & Antoine Leblois, 2021. "Adapting forest management practices to climate change : Lessons from a survey of French private forest owners," Working Papers hal-03142772, HAL.
    3. Montagné-Huck, Claire & Brunette, Marielle, 2018. "Economic analysis of natural forest disturbances: A century of research," Journal of Forest Economics, Elsevier, vol. 32(C), pages 42-71.
    4. Evison, David & Bloomberg, Mark & Walker, Liam & Howley, Matt, 2024. "The economics of managing a small-scale radiata pine forest using target diameter harvesting," Forest Policy and Economics, Elsevier, vol. 161(C).
    5. Marielle Brunette & Arnaud Dragicevic & Jonathan Lenglet & Alexandra Niedzwiedz & Vincent Badeau & Jean-Luc Dupouey, 2017. "Biotechnical portfolio management of mixed-species forests," Journal of Bioeconomics, Springer, vol. 19(2), pages 223-245, July.
    6. 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).
    7. Strimbu, Bogdan M. & Paun, Mihaela & Montes, Cristian & Popescu, Sorin C., 2018. "A scalar measure tracing tree species composition in space or time," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 682-692.
    8. Marielle Brunette & Robin Bourke & Marc Hanewinkel & Rasoul Yousefpour, 2018. "Adaptation to climate change in forestry: a multiple correspondence analysis (MCA)," Post-Print hal-02620990, HAL.
    9. Jette Bredahl Jacobsen & Frank Jensen & Bo Jellesmark Thorsen, 2018. "Forest Value and Optimal Rotations in Continuous Cover Forestry," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(4), pages 713-732, April.

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