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Algorithms and software solution of thinning models for SIBYLA growth simulator

Author

Listed:
  • M. Fabrika

    (Faculty of Forestry, Department of Forest Management and Geodesy, Technical University in Zvolen, Zvolen, Slovak Republic)

  • J. Ďurský

    (Faculty of Forestry, Department of Forest Management and Geodesy, Technical University in Zvolen, Zvolen, Slovak Republic)

Abstract

The paper deals with a proposal for a thinning model for the growth simulator SIBYLA. The model is based on an analytical-causal modeling approach. Some partial theorems are tested on experimental data from thinning sample plots. The model is composed of the following components: the model of bio-sociological tree status, the model for score of existence, the model for type of selection, the model for amount of thinning, and the aggregated model of the thinning concept. The appropriate combination of type and amount of thinning allows the user to perform the following thinning concepts: thinning from below, thinning from above, neutral thinning, crop tree thinning, target diameter thinning, target frequency (equilibrium) curve thinning, clear cutting, and thinning by list (interactive thinning). A software solution of the algorithms, and an example of different thinning concepts for selected forest stands is presented at the end of the paper along with a discussion about the advantages and disadvantages of the thinning model compared to the SILVA 2.2 model.

Suggested Citation

  • M. Fabrika & J. Ďurský, 2005. "Algorithms and software solution of thinning models for SIBYLA growth simulator," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 51(10), pages 431-445.
    • Handle: RePEc:caa:jnljfs:v:51:y:2005:i:10:id:4577-jfs
    DOI: 10.17221/4577-JFS
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    Cited by:

    1. Pavel Brabec & Jakub Brichta & Zdeněk Vacek & Stanislav Vacek & Václav Šimůnek & Vojtěch Hájek, . "Potential of mixed Picea abies (L.) Karst. and Pinus sylvestris L. forests in lowland areas of Central Bohemia," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 0.
    2. Stanislav Vacek & Rostislav Linda & Ivo Králíček & Karel Vančura & Anna Prokůpková & Romana Prausová, 2020. "Effect of structure and dynamics of forests on the occurrence of Erythronium dens-canis," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 66(9), pages 349-360.
    3. Tomáš Čihák & Monika Vejpustková, 2023. "Comparison of nutrient and carbon stocks in the aboveground biomass of mature silver fir (Abies alba Mill.) and Norway spruce (Picea abies L. Karst) stands," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 69(8), pages 334-347.
    4. Pavel Brabec & Jakub Brichta & Zdeněk Vacek & Stanislav Vacek & Václav Šimůnek & Vojtěch Hájek, 2023. "Potential of mixed Picea abies (L.) Karst. and Pinus sylvestris L. forests in lowland areas of Central Bohemia," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 69(11), pages 470-484.
    5. Vilém Podrázský & Zdeněk Vacek & Stanislav Vacek & Jan Vítámvás & Josef Gallo & Anna Prokůpková & Giuseppe D'Andrea, 2020. "Production potential and structural variability of pine stands in the Czech Republic: Scots pine (Pinus sylvestris L.) vs. introduced pines - case study and problem review," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 66(5), pages 197-207.

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