Capacidade produtiva de Tectona grandis L.f no Sudoeste de Mato Grosso

Chaves, Arthur Guilherme Schirmbeck; Drescher, Ronaldo; Caldeira, Sidney Fernando; Martinez, Diego Tyszka; Vendruscolo, Diogo Guido Streck

doi:10.18671/scifor.v44n110.14

Cited by 7 publications

(13 citation statements)

References 11 publications

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“…This type of instability in the early growth phase is typical in teak height growth modeling, which has been also reported in other studies (e.g. Chaves et al, 2016;Figueiredo, 2005). Chaves et al (2016) report that this phenomenon occurs because the plants are in an adaptation period, which is the phase when there is the greatest heterogeneity in the stand.…”

Section: Resultssupporting

confidence: 86%

“…The results of teak growth in MT indicate that the culture of these species meets the expectations regarding growth and high productive potential in several regions of the state, corroborating the findings of Pelissari et al (2013) in Nossa Senhora do Livramento; in Santo Antônio do Leverger and Brasnorte; and Chaves et al (2016) in Indiavaí. These researchers also highlight the superior development of teak as compared to other South American countries, as well as the countries where the species naturally occurs.…”

Section: Resultssupporting

confidence: 78%

“…The equations presented errors below 10% (RMSE), except for the stand in the municipality of Santo Antônio do Leverger. Low values of mean error of the estimates are desirable in regression models, since they indicate that the functional relationship [DH = f (Age)] adequately described the variation of the dominant heights with the age of the trees, as also verified by Bermejo et al (2004); Chaves et al (2016) and Drescher et al (2016) for teak stands. The four tested models resulted in equations with very similar fitting statistics in each site with variations less than 1% for r yŷ and RMSE%.…”

Section: Resultsmentioning

confidence: 75%

“…Chaves et al, 2016;Figueiredo, 2005). Chaves et al (2016) report that this phenomenon occurs because the plants are in an adaptation period, which is the phase when there is the greatest heterogeneity in the stand. This explains, in part, that when assessing the local productive capacity by means of the dominant height, databases of stands at very young ages should not be used as a reference (Machado et al, 1997).…”

Section: Resultsmentioning

confidence: 99%

“…In addition, an alternative to quantify the productive potential is by using the site index through site curves, which are usually employed to support the choice of teak sites (Chaves et al, 2016;Drescher et al, 2016;Silva et al, 2015;Ziech et al, 2016). The advantage of this technique is that different productivity classes can be generated for the same region.…”

Section: Resultsmentioning

confidence: 99%

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Dominant Height Growth in Tectona grandis Plantations in Mato Grosso, Brazil

et al. 2019

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Tectona grandis (teak) plantations have gained increased interest in recent decades in Brazil, bringing about the need for acquiring information regarding the growth and productive potential. The present work aims to evaluate the growth of dominant height in teak at various locations in the state of Mato Grosso, midwest Brazil. For this purpose, six stands were evaluated in distinct municipalities and the database was obtained from trunk analysis. Subsequently, the dominant height growth was estimated using nonlinear regression models, whose performance was evaluated, based on goodness-of-fit statistics and graphical analysis of residues. Tests for model identity were used to analyze the differences in growth rates between sites (municipalities). The studied teak stands displayed different dominant height growth trends, with differences reaching up to 37%.

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Section: Resultssupporting

confidence: 86%

Section: Resultssupporting

confidence: 78%

Section: Resultsmentioning

confidence: 75%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Dominant Height Growth in Tectona grandis Plantations in Mato Grosso, Brazil

et al. 2019

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Artificial neural networks, quantile regression, and linear regression for site index prediction in the presence of outliers

Júnior

Souza

Assis

et al. 2019

Pesq. agropec. bras.

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The objective of this work was to compare methods of obtaining the site index for eucalyptus (Eucalyptus spp.) stands, as well as to evaluate their impact on the stability of this index in databases with and without outliers. Three methods were tested, using linear regression, quantile regression, and artificial neural network. Twenty-two permanent plots from a continuous forest inventory were used, measured in trees with ages from 23 to 83 months. The outliers were identified using a boxplot graphic. The artificial neural network showed better results than the linear and quantile regressions, both for dominant height and site index estimates. The stability obtained for the site index classification by the artificial neural network was also better than the one obtained by the other methods, regardless of the presence or the absence of outliers in the database. This shows that the artificial neural network is a solid modelling technique in the presence of outliers. When the cause of the presence of outliers in the database is not known, they can be kept in it if techniques as artificial neural networks or quantile regression are used.

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Modelagem da espessura e percentual de casca em árvores de Tectona grandis L.f

Vendruscolo¹,

Drescher²,

Medeiros³

et al. 2019

Sci. For.

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Objetivou-se nesse trabalho avaliar modelos e variáveis para a modelagem da espessura e conteúdo percentual de casca em árvores de Tectona grandis (teca). Os dados foram coletados de 68 árvores dominantes de teca com idade variando de 6 a 34 anos, distribuídas em diferentes regiões de Mato Grosso. Para estimar a espessura da casca das árvores foram testados dois modelos de regressão, sendo um polinomial e outro linear simples. Em ambos os modelos também foi inserida a idade como um componente aleatório. O percentual de casca foi estimado utilizando modelos da família exponencial. A qualidade dos ajustes foi realizada por meio de parâmetros estatísticos e um conjunto de analises gráficas. Verificou-se que o modelo polinomial com a variável independente altura relativa e a idade como efeito aleatório mostrou-se eficiente para a predição da espessura da casca ao longo do fuste de árvores de teca. O conteúdo percentual de casca das árvores em pé pode ser estimado com precisão, por meio de um modelo biexponencial utilizando apenas o DAP como variável regressora. Palavras-chave: Teca; árvores dominantes; volume de casca; modelagem de efeitos mistos; modelos não lineares.

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Capacidade produtiva de Tectona grandis L.f no Sudoeste de Mato Grosso

Cited by 7 publications

References 11 publications

Dominant Height Growth in Tectona grandis Plantations in Mato Grosso, Brazil

Dominant Height Growth in Tectona grandis Plantations in Mato Grosso, Brazil

Artificial neural networks, quantile regression, and linear regression for site index prediction in the presence of outliers

Modelagem da espessura e percentual de casca em árvores de Tectona grandis L.f

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