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Evaluation of the forest growth simulator SILVA on dominant trees in mature mixed Silver fir–Norway spruce stands in South-West Germany

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  • Mette, Tobias
  • Albrecht, Axel
  • Ammer, Christian
  • Biber, Peter
  • Kohnle, Ulrich
  • Pretzsch, Hans

Abstract

Forest growth simulators go beyond a mere tabulation of empirical measurements by employing biometric models that functionally describe the dependence of forest growth of the initial forest structure, growth conditions and management regime. This makes them very flexible and allows predicting growth reactions for unknown and/or complex forest growth scenarios. When simulation outcomes are to be used in silvicultural strategic planning, the results are of direct and delicate importance, and the correct simulator performance must be ascertained. This is especially so when the considered forest situation differs from the forest data used to parameterise the model (e.g. different geographical region).

Suggested Citation

  • Mette, Tobias & Albrecht, Axel & Ammer, Christian & Biber, Peter & Kohnle, Ulrich & Pretzsch, Hans, 2009. "Evaluation of the forest growth simulator SILVA on dominant trees in mature mixed Silver fir–Norway spruce stands in South-West Germany," Ecological Modelling, Elsevier, vol. 220(13), pages 1670-1680.
    • Handle: RePEc:eee:ecomod:v:220:y:2009:i:13:p:1670-1680
    DOI: 10.1016/j.ecolmodel.2009.03.018
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    References listed on IDEAS

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    1. R. B. Myneni & C. D. Keeling & C. J. Tucker & G. Asrar & R. R. Nemani, 1997. "Increased plant growth in the northern high latitudes from 1981 to 1991," Nature, Nature, vol. 386(6626), pages 698-702, April.
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    Cited by:

    1. Pretzsch, Hans, 2022. "Facilitation and competition reduction in tree species mixtures in Central Europe: Consequences for growth modeling and forest management," Ecological Modelling, Elsevier, vol. 464(C).
    2. M. Bošeľa & R. Petráš & Š. Šmelko, 2011. "Site classification vs. wood production: a case study based on Silver fir growth dynamics in the Western Carpathians," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 57(10), pages 409-421.
    3. Schmid, Ueli & Frehner, Monika & Glatthorn, Jonas & Bugmann, Harald, 2023. "ProForM: A simulation model for the management of mountain protection forests," Ecological Modelling, Elsevier, vol. 478(C).

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