FUNÇÃO DE AFILAMENTO E SORTIMENTOS DE MADEIRA PARA &lt;i&gt;Araucaria angustifolia

Costa, Emanuel Arnoni; Finger, César Augusto Guimarães; Schneider, Paulo Renato; Hess, André Felipe

doi:10.5902/1980509822753

Cited by 10 publications

(7 citation statements)

References 1 publication

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“…For the volume calculation, we followed the Kozak model [36] (Equation 3), adjusted to the same area of the study by Costa et al [37]. The model showed adjusted determination coefficient (R 2 adj.)…”

Section: Volume Volume Increments and Cutting Ratementioning

confidence: 99%

Simulating Araucaria angustifolia (Bertol.) Kuntze Timber Stocks With Liocourt’s Law in a Natural Forest in Southern Brazil

Costa

Liesenberg

Hess

et al. 2020

Forests

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This paper presents a simulation of the regulation of Araucaria angustifolia (Bertol.) Kuntze timber stocks using Liocourt’s law. Although this species is currently protected by law, recent government initiatives are being considered to propose sustainable forest management practices by selecting small rural properties in Southern Brazil. Here, we simulate the applicability of Liocourt’s law in a typical rural property, the size of which is approximately 85 ha. Forest inventory measurements were conducted by estimating the diameter at the breast height (d), total height (h), and annual diameter increments of 308 trees that fit the criteria of d ≥ 10 cm, distributed on 35 permanent plots of 400 m2 each. As a result, a reverse J-shaped d distribution was found. On average, 303 trees can be found per hectare (ha). Local allometric equations showed their basal area (G) to be 21.9 m2∙ha−1, and their commercial volume (V) to be 172 m3∙ha−1, whereas Liocourt’s quotient (q) was 1.31. Based on these attributes, nine different forest management scenarios were proposed by simulating a remaining basal area (Grem) of 10.0, 14.0, and 18.0 m2∙ha−1, and Liocourt’s quotient was changed to 1.1, 1.3, and 1.5. All scenarios consider a d of 62.5 cm. In the less intensive scenario (i.e., q value = 1.5 and larger basal area of 18.0 m2·ha−1) there is greater optimization of space, and higher economic return is ensured to rural producers due to the definition of shorter cutting cycles. This also allows a faster growth rate in both d and h for smaller trees, due to the higher incidence of light onto the lower canopy layer, increasing the natural regeneration implementation of other native species. Forest management should thus be considered a goal in addition to consumer market characteristics for defining the ideal timber stock scenario.

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Section: Volume Volume Increments and Cutting Ratementioning

confidence: 99%

Simulating Araucaria angustifolia (Bertol.) Kuntze Timber Stocks With Liocourt’s Law in a Natural Forest in Southern Brazil

Costa

Liesenberg

Hess

et al. 2020

Forests

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“…To know the tapering of tree shafts is important for planning and implementing forest activities, especially when one wants to classify the production through the wooden logs. By associating it with the growth factor, the mathematical description of the tapering allows to dynamically infer the quantity and dimension of the logs, simulating scenarios that contribute to studies on the economic viability of the forest (Costa et al, 2016). Simulations of different scenarios are possible through application of linear and nonlinear modeling techniques.…”

Section: Introductionmentioning

confidence: 99%

Partial Volume Prediction Through Nonlinear Mixed Modeling

et al. 2019

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The objective of this study was to assess the prediction of partial volumes with nonlinear mixed modeling for Pinus taeda. The volume of 558 trees was measured. The four-parameter logistic model was used in its modified form for the nonlinear mixed approach and, for comparison, the 5 th degree polynomial was used. In the mixed modeling, the random effects diameter, age and place were inserted. The statistical criteria used to assess the quality of the adjustment were the Akaike Information Criterion (AIC), the Bayesian Information Criterion (BIC), standard error of the estimate (Syx) and residual graphical analysis. Among the random effects analyzed, age obtained the best adjustment. However, to predict partial volumes, it was noticed that, regardless of the analyzed portion of the trunk, the 5 th degree polynomial had the best estimates, with a mean standard error of 20.1% of the estimate compared to 51.8% of the logistic.

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“…Conhecer, portanto, o afilamento do tronco das árvores é importante para o planejamento e execução de atividades florestais, principalmente quando se deseja classificar a produção pelas toras de madeira, segundo as metas estabelecidas para o talhão. Ao associá-lo à função de crescimento, a descrição matemática do afilamento permite inferir na quantidade e dimensão das toras de forma dinâmica, simulando cenários de custo e renda os quais podem auxiliar na definição da rotação da floresta (COSTA et al, 2016).…”

Section: Introductionunclassified

MODELOS POLINOMIAIS PARA DESCREVER A FORMA DO TRONCO DE Pinus taeda L.

Costa¹,

Martins²,

Sequeira³

et al. 2019

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RESUMO Funções de afilamento permitem estimar diâmetros e volumes ao longo do tronco das árvores. Estas funções são usadas para a determinação dos sortimentos de madeira de povoamentos florestais. Neste sentido, o presente estudo teve por objetivo avaliar a performance de modelos polinomiais de 2°, 3°, 4° e 5° grau ajustados para árvores de P. taeda no município de Correia Pinto (SC). As árvores foram cubadas de metro em metro e testados ajustes de modelos polinomiais em seções de 1, 2 e 3 m, a partir da posição referente ao nível do diâmetro à altura do peito. Os volumes das árvores foram obtidos por meio da fórmula de Smalian. Os polinômios de 4º e 5º grau apresentaram resultados semelhantes quanto aos critérios de ajuste e precisão. O polinômio de 2° grau alcançou o pior resultado, independentemente das distâncias avaliadas entre as cubagens. De forma geral, o modelo polinomial de 5º foi o mais adequado para descrever o afilamento do tronco de árvores de P. taeda. Para as estimativas de volume utilizando os diâmetros estimados com o uso do polinômio de 5º grau foi verificado melhores resultados com o seccionamento de 2 m. Este estudo apresenta potencial de aplicação para outras espécies florestais. PALAVRAS-CHAVE: forma do tronco, volume, sortimentos.

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FUNÇÃO DE AFILAMENTO E SORTIMENTOS DE MADEIRA PARA <i>Araucaria angustifolia

Cited by 10 publications

References 1 publication

Simulating Araucaria angustifolia (Bertol.) Kuntze Timber Stocks With Liocourt’s Law in a Natural Forest in Southern Brazil

Simulating Araucaria angustifolia (Bertol.) Kuntze Timber Stocks With Liocourt’s Law in a Natural Forest in Southern Brazil

Partial Volume Prediction Through Nonlinear Mixed Modeling

MODELOS POLINOMIAIS PARA DESCREVER A FORMA DO TRONCO DE Pinus taeda L.

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