Hypsometric models for a clonal plantation of Tectona grandis Linn F. subjected to selective thinning

Mario Lima dos Santos, Richard Pinheiro Rodrigues, Michael Douglas Roque Lima, Walmer Bruno Rocha Martins, Beatriz Cordeiro Costa, Patricia Mie Suzuki

Resumo


At a moment when the importance of planted forests in the Amazon region is increasing, hypsometric models become highly relevant tools as they allow monitoring of and planning for tree plantations in a way that is practical and economic for the producer. Thus, the objective of the current study was to select and adjust a model of hypsometric relationships for a clonal plantation of Tectona grandis Linn F., submitted to selective thinning, located in Capitão Poço municipality, Pará state, Brazil. Data were collected from permanent plots in five-year-old stands using the fixed area method and systematic process. The best adjusted model was selected with an adjusted determination coefficient (R²aj.%), residual standard deviation of the percentage estimate (Syx%), recalculated residual standard error (Syxr%), diagnosis of distribution of residuals as a percentage and the Percent Average Deviation (PAD%). Hyperbolic models 2 and 3 had the highest determination coefficients (83.42 and 83.40%) and lowest PAD (-0.006 and -0.154%). The polynomial (1) and hyperbolic models (2 and 3) showed the smallest errors in related to the estimates. Model 2 (hyperbolic) was found to generate the best estimate of total T. grandis clonal plantation height. Use of this hypsometric model will allow a significant reduction of costs and time in forest inventory studies.

Palavras-chave


Height estimation model. Planted forest. Forest inventory. Teak.

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DOI: http://dx.doi.org/10.18227/1982-8470ragro.v13i0.5292

Direitos autorais 2019 REVISTA AGRO@MBIENTE ON-LINE

Revista Agroambiente On-line ISSN 1982-8470 (online), www.agroambiente.ufrr.br. E-mail: agroambiente@ufrr.br. Licença Creative Commons
Este obra está licenciado com uma Licença Creative Commons Atribuição-SemDerivações-SemDerivados 3.0 Brasil.