Forecasting production in thinned clonal stands of Tectona grandis in Eastern Amazonia

• dos Santos, Mario L. ^[1] ; Miguel, Eder P. ^[1] ; dos Santos, Cassio R. C. ^[4] ; de Souza, Hallefy J. ^[1] ; Martins, Walmer B. R. ^[4] ; Lima, Michael D. R. ^[2] ; Arce, Julio E. ^[3] ; Silva, José N. M. ^[5]
  1. [1] Universidade de Brasília

     Universidade de Brasília

     Brasil

     
  2. [2] Universidade Federal de Lavras

     Universidade Federal de Lavras

     Brasil

     
  3. [3] Universidade Federal do Paraná

     Universidade Federal do Paraná

     Brasil

     
  4. [4] Federal Rural University of Amazonia, Capitão Poço Campus, Travessa Pau Amarelo W/N, 68650-000, Vila Nova, Capitão Poço, PA, Brazil
  5. [5] Federal Rural University of Amazonia, Belém Campus, Dept. of Forest Sciences, Av. Presidente Tancredo Neves 2501, 66077-830, Terra Firme, Belém, PA, Brazil

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• Localización: Forest systems, ISSN 2171-5068, ISSN-e 2171-9845, Vol. 31, Nº. 3, 2022
• Idioma: inglés
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• Resumen

  • Aim of the study: We investigated the most suitable thinning ages and intensities to maximize productivity and minimize the rotation age of Tectona grandis clonal plantations in the Brazilian Eastern Amazon.

    Area of study: Capitão Poço, State of Pará, Eastern Amazonia, Brazil.

    Materials and methods: We used diameter, height, and volume data from 72 permanent plots measured on nine occasions. We determined the classification of forest sites using the generalized algebraic difference approach (GADA). Clutter’s segmented model was used to simulate different intensities of basal area reduction, determining the technical ages according to the projected increments.

    Main results: The polymorphic site curves generated by the GADA method revealed that there were sites with different productive characteristics. The Clutter model produced compatible projections of basal area and volume that followed the behavior of the productivity classes. The final production was maximized when three thinning intensities (basal area reductions) were applied: 1st thinning (50%), between the ages of 3.5 to 4.2 years; 2nd thinning (50%), between the ages of 6.1 to 7.3 years; and 3rd thinning (25%), between the ages of 10.6 to 12.8 years. Projected rotation ages ranged from 13.9 to 16.6 years earlier than seminal plantings. The simulations increased the net volume by 8.3%, on average, compared to no thinning.

    Research highlights: Simulations with three thinnings maximized production compared to the no thinning scenario. The time interval between thinnings was less than five years. The research results can help forest management decision-making and reveal production increases of T. grandis clonal stands in a shorter time.