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How economic performance of a stand increases due to decreased failure risk associated with the admixing of species

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  • Roessiger, Joerg
  • Griess, Verena C.
  • Härtl, Fabian
  • Clasen, Christian
  • Knoke, Thomas

Abstract

A new modeling approach which combined survival probabilities for spruce with financial optimization showed a considerably reduction in financial risk in spruce (Picea abies [L.] Karst.) stands with an admixture of a 20% proportion of beech (Fagus sylvatica L.). The admixture enhanced the stability of the spruce component against natural hazards, such as storm or insect damage. Here, these new survival investigations were integrated into a bio-economic modeling approach called silvicultural economics. A new failure model which includes the benefits of ecological interactions for decreasing hazard risk for spruce was developed. The modeling technique is based on Monte-Carlo-Simulation and on simultaneous portfolio optimization of management strategies under risk. Area proportions were allocated as decision variables to each tree species and to regeneration harvests at various points in time in order to achieve the maximum financial return given a predefined, acceptable risk. The simultaneous optimization led to a mixed – and, through long regeneration periods – to an uneven-aged forest stand, for almost all predefined risk-levels. In addition, for a selection of possible even-aged tree species compositions, a stand-level mixture (including the species interactions of the new model) was compared with the same species proportion at the stand level, but consisting of two separated parts of spruce and beech (thus excluding species interactions). For all even-aged and interacting mixtures that were investigated, a higher expected return and a lower financial risk were achieved when compared to the identical even-aged mixture proportions without interactions. When the timing and distribution of regeneration harvests was also optimized (as opposed to using a clear-cut strategy) there was a slight loss in financial return, but the reduction in risk was even greater, given the same tree species proportion – especially in cases with a low beech admixture. Compared to the simulation which excluded the stabilizing effect of beech on spruce, the variant with interacting tree species allowed for higher spruce proportions and shorter regeneration cycles for the same acceptable risk.

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  • 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.
  • Handle: RePEc:eee:ecomod:v:255:y:2013:i:c:p:58-69
    DOI: 10.1016/j.ecolmodel.2013.01.019
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    2. Bastit, Félix & Brunette, Marielle & Montagné-Huck, Claire, 2023. "Pests, wind and fire: A multi-hazard risk review for natural disturbances in forests," Ecological Economics, Elsevier, vol. 205(C).
    3. Wildberg, Johannes & Möhring, Bernhard, 2019. "Empirical analysis of the economic effect of tree species diversity based on the results of a forest accountancy data network," Forest Policy and Economics, Elsevier, vol. 109(C).
    4. Macpherson, Morag F. & Kleczkowski, Adam & Healey, John R. & Quine, Christopher P. & Hanley, Nick, 2017. "The effects of invasive pests and pathogens on strategies for forest diversification," Ecological Modelling, Elsevier, vol. 350(C), pages 87-99.
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    6. Nürnberger, K. & Hahn, A. & Rößiger, J. & Knoke, T., 2014. "Auswirkungen der Steuervergünstigungen für außerordentliche Holznutzungen auf die Wahl waldbaulicher Alternativen: Eine Simulationsstudie aus der Sicht eines risikomeidenden Entscheiders," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 49, March.
    7. 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).
    8. 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.
    9. Jarisch, Isabelle & Bödeker, Kai & Bingham, Logan Robert & Friedrich, Stefan & Kindu, Mengistie & Knoke, Thomas, 2022. "The influence of discounting ecosystem services in robust multi-objective optimization – An application to a forestry-avocado land-use portfolio," Forest Policy and Economics, Elsevier, vol. 141(C).
    10. 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.
    11. 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.
    12. 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.
    13. Matthies, Brent D. & Valsta, Lauri T., 2016. "Optimal forest species mixture with carbon storage and albedo effect for climate change mitigation," Ecological Economics, Elsevier, vol. 123(C), pages 95-105.

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