Financial consequences of losing admixed tree species: A new approach to value increased financial risks by ungulate browsing
The influence of ungulates on the growth of young trees is amply discussed in forestry literature, particularly game browsing. Although there are a few appraisal methods that consider negative long-term influences on forest regeneration, hitherto no approach has addressed the financial consequences of lost admixed tree species. A homogenised species composition may lead to an increased financial risk of a forest. Based on financial return and risk ratios of mixed forests, this paper derives the financial compensation that would be necessary to make acceptable the increased risk of pure forest for forest owners. In this conceptual case study we consider a two-species mixed forest (Norway spruce, Picea abies [L.] Karst. and European beech, Fagus sylvatica L.) and calculate a tree species composition with maximum financial return per unit of risk. The financial indicators were generated via 1000 Monte Carlo scenarios, which consider natural hazard risks as well as timber price fluctuations. In case of an assumed reduction of European beech in different mixed forests by 30 percentage points, a compensation rate for ungulate browsing of between 16 and 23 [euro] ha-Â 1Â yr-Â 1 was estimated. Compared to the annual gains of mixed-forest between 89 and 113 [euro] ha-Â 1Â yr-Â 1 for admixtures of beech between 70 and 30 percent, we consider this amount substantial and conclude that the appraisal of game browsing effects should include the changed risk profiles between homogenised and mixed forests.
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- Zakamouline, Valeri & Koekebakker, Steen, 2009. "Portfolio performance evaluation with generalized Sharpe ratios: Beyond the mean and variance," Journal of Banking & Finance, Elsevier, vol. 33(7), pages 1242-1254, July.
- Hyytiainen, Kari & Penttinen, Markku, 2008. "Applying portfolio optimisation to the harvesting decisions of non-industrial private forest owners," Forest Policy and Economics, Elsevier, vol. 10(3), pages 151-160, January.
- Gregory S. Amacher & Markku Ollikainen & Erkki A. Koskela, 2009. "Economics of Forest Resources," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262012480, July.
- Wayne Y. Lee & Ramesh K. S. Rao, 1988. "Mean Lower Partial Moment Valuation and Lognormally Distributed Returns," Management Science, INFORMS, vol. 34(4), pages 446-453, April.
- Roll, Richard, 1977. "A critique of the asset pricing theory's tests Part I: On past and potential testability of the theory," Journal of Financial Economics, Elsevier, vol. 4(2), pages 129-176, March.
- Hildebrandt, Patrick & Knoke, Thomas, 2011. "Investment decisions under uncertainty--A methodological review on forest science studies," Forest Policy and Economics, Elsevier, vol. 13(1), pages 1-15, January.
- Post, Thierry & van Vliet, Pim, 2006.
"Downside risk and asset pricing,"
Journal of Banking & Finance,
Elsevier, vol. 30(3), pages 823-849, March.
- Post, G.T. & van Vliet, P., 2004. "Downside Risk and Asset Pricing," ERIM Report Series Research in Management ERS-2004-018-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
- Barreto,Humberto & Howland,Frank, 2006. "Introductory Econometrics," Cambridge Books, Cambridge University Press, number 9780521843195, September.
- Jun-ya Gotoh & Hiroshi Konno, 2000. "Third Degree Stochastic Dominance and Mean-Risk Analysis," Management Science, INFORMS, vol. 46(2), pages 289-301, February.
- Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, 03.
- 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.
- Knoke, Thomas & Steinbeis, Otto-Emmanuel & Bösch, Matthias & Román-Cuesta, Rosa María & Burkhardt, Thomas, 2011. "Cost-effective compensation to avoid carbon emissions from forest loss: An approach to consider price-quantity effects and risk-aversion," Ecological Economics, Elsevier, vol. 70(6), pages 1139-1153, April. Full references (including those not matched with items on IDEAS)
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