Evolution of tree stem taper in Pinus taeda stands

Kohler, Síntia Valério; Koehler, Henrique Soares; Filho, Afonso Figueiredo; Arce, Júlio Eduardo; Machado, Sebastião do Amaral

doi:10.1590/0103-8478cr20140021

Cited by 19 publications

(24 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The stem taper equation generated by Schöpfer (1966) model varying coefficient based on age allowed the representation of different stem profiles according to age. This characteristic is extremely desirable, given that the shape of the stem varies according to age (KOHLER et al, 2013;TÉO et al, 2013;FIGUEIREDO FILHO et al, 2014a, 2015KOHLER et al, 2016). Results from the Schöpfer (1966) model adjusted with the coefficient linear function of age showed that stem profiles presented lower tapering with higher ages, from approximately 15% of height, which is in agreement with the results found by Téo et al (2013) in a study of P. elliottii stems in the state of Santa Catarina.…”

Section: Discussionsupporting

confidence: 81%

“…Several authors who have undertaken studies with tree taper modeling of different aged trees have recommended the use of a taper equation for each age class owing to better statistical performance of these equations when compared to a general equation (KOHLER et al, 2013;FIGUEIREDO FILHO et al, 2015;KOHLER et al, 2016;TERRA et al, 2018). However, there is an inconvenience associated with using several taper equations simultaneously that was avoided in the modeling approach used in the present study.…”

Section: Discussionmentioning

confidence: 99%

“…Usually, the development of a taper model is restricted to a single species, age class, management type, study region, or even diameter, height, and form classes (EISFELD et al, 2008;SOUZA et al, 2008;MIGUEL et al, 2011;FAVALESSA et al, 2012a;FAVALESSA et al, 2012b;SOUZA et al, 2012;KOHLER et al, 2013;LANSSANOVA et al, 2013;TÉO et al, 2013;DAVID et al, 2014;FIGUEIREDO FILHO et al, 2014a;FIGUEIREDO FILHO et al, 2015;COSTA et al, 2016;KOHLER et al, 2016;TERRA et al, 2018). According to Figueiredo Filho et al (2014b), the use of these equations is recommended for datasets experiencing the same conditions.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

STEM TAPER EQUATION WITH EXTENSIVE APPLICABILITY TO SEVERAL AGE CLASSES OF Pinus taeda L

Téo

Machado

Filho

et al. 2018

Self Cite

View full text Add to dashboard Cite

The aim of this study was to develop stem taper equations for trees of Pinus taeda L. inside and outside bark with extensive applicability to several age classes. Data were obtained from 631 trees of P. taeda, ranging from 4 to 31 years of age, in different stands distributed in several counties of the Midwest region of the state of Santa Catarina, Brazil. The taper models of Biging (1984), Schöpfer (1966), and Kozak et al. (1969) were tested. These models were fitted in their simplest formulation as well as by varying their coefficient linear functions of stand age with the procedure PROC NLIN in the software SAS® University Edition. There were no significant differences in accuracy and precision in the estimates between the simplest formulation of the Schöpfer (1966) model and the variation of its coefficient b linear function of age, and thus, the simplest formulation was chosen. Among all taper models tested, the Schöpfer (1966) model presented greater accuracy and precision to estimate diameters inside and outside bark, throughout the stem of Pinus taeda, in the Midwest region of the state of Santa Catarina, Brazil.

show abstract

Section: Discussionsupporting

confidence: 81%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

STEM TAPER EQUATION WITH EXTENSIVE APPLICABILITY TO SEVERAL AGE CLASSES OF Pinus taeda L

Téo

Machado

Filho

et al. 2018

Self Cite

View full text Add to dashboard Cite

show abstract

“…Several factors can affect the bole profile of a tree, among them: species, genetic material, age of the tree, stand spacing, cut regime and thinning, stand conduction regime, site and length and width of the crown (Nogueira et al, 2008;Queiroz et al, 2008;Campos and Leite, 2013;Batista et al, 2014;Andrade et al, 2016;Rodríguez-Toro et al, 2016;Souza et al, 2016;Kohler et al, 2016;Vendruscolo et al, 2016). These factors have encouraged the researchers to develop and apply the bole profile modeling under different conditions.…”

Section: Introductionmentioning

confidence: 99%

Bole Profile of Eucalyptus Under Two Conduction Regimes in the Southwest Region of the Brazilian State Bahia

Azevedo

Castro

et al. 2017

Rev. Árvore

View full text Add to dashboard Cite

The study of the bole profile is an important tool in the forest production management, which is influenced by several factors, such as the stand conduction regime. This work aimed to evaluate two stand conduction regimes regarding the Eucalyptus urophylla bole in the southwest region of the Brazilian state, Bahia. The data used was retrieved from stands conducted under high forest and coppice regimes. The tapering models proposed by Kozak, Demaerschalk, Ormerod, Garcia and Garay were adjusted, being selected the ones that presented better performances regarding adjustment statistics and graphic analysis of residue for each conduction regime. The models selected were validated by the chi-squared test (α = 0,05). Considering the models selected, it was possible to estimate the value of the diameter along the bole of the average-tree, allowing to evaluate the bole profile for each stand conduction regime. The identity test of the models showed that the stand conduction regime affects the shape of the trees' bole, making a necessity to adjust a specific equation for each situation. The bole tends to present a cylindrical form in a stand conducted in a coppice regime and conical one in a high forest regime.

show abstract

“…This is an innovative result of significant 437 importance as individual taper functions are customarily fit for every forest compartment and for 438 each one-year age class in Brazil (Kohler et al 2016). Additionally, including a tree size variable 439 in the PMS approach predicts the stand density effect in plantations which contributes to the 440 increase of precision.…”

mentioning

confidence: 99%

Comparison of taper functions applied to eucalypts of varying genetics in Brazil: application and evaluation of the penalized mixed spline approach

Scolforo

McTague

Raimundo³

et al. 2018

Can. J. For. Res.

View full text Add to dashboard Cite

Evolution of tree stem taper in Pinus taeda stands

Abstract: This study aimed to evaluate the evolution of stem taper of trees in Pinus taeda

Cited by 19 publications

References 6 publications

STEM TAPER EQUATION WITH EXTENSIVE APPLICABILITY TO SEVERAL AGE CLASSES OF Pinus taeda L

STEM TAPER EQUATION WITH EXTENSIVE APPLICABILITY TO SEVERAL AGE CLASSES OF Pinus taeda L

Bole Profile of Eucalyptus Under Two Conduction Regimes in the Southwest Region of the Brazilian State Bahia

Comparison of taper functions applied to eucalypts of varying genetics in Brazil: application and evaluation of the penalized mixed spline approach

Contact Info

Product

Resources

About