2015
DOI: 10.1590/0103-9016-2014-0225
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Mixed effect models for predicting breast height diameter from stump diameter of Oriental beech in Göldağ

Abstract: Diameter at breast height (DBH) is the simplest, most common and most important tree dimension in forest inventory and is closely correlated with wood volume, height and biomass. In this study, a number of linear and nonlinear models predicting diameter at breast height from stump diameter were developed and evaluated for Oriental beech (Fagus orientalis Lipsky) stands located in the forest region of Ayancık, in the northeast of Turkey. A set of 1,501 pairs of diameter at breast height-stump measurements, orig… Show more

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Cited by 11 publications
(9 citation statements)
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“…The establishment of permanent plots can also assist inspection agencies in cases of wood being illegally removed, in addition to helping understand the regrowth. This is because a relationship can be obtained with neighboring areas of similar composition and forest structure (ERCANLI et al, 2015;PETER;CONSTANCE, 2010) due to the diameter of the stumps left in the field for elaborating mathematical models to estimate the biomass that was extracted in an acceptable manner, thereby helping the agents to prepare infraction notices.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The establishment of permanent plots can also assist inspection agencies in cases of wood being illegally removed, in addition to helping understand the regrowth. This is because a relationship can be obtained with neighboring areas of similar composition and forest structure (ERCANLI et al, 2015;PETER;CONSTANCE, 2010) due to the diameter of the stumps left in the field for elaborating mathematical models to estimate the biomass that was extracted in an acceptable manner, thereby helping the agents to prepare infraction notices.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, indirect methods that reliably estimate tree biomass are preferred. Statistical models have been developed for this and used to estimate woody biomass left standing and/or from the diameter of the remaining stock (ERCANLI et al, 2015;NASCIMENTO et al, 2010;ÖZÇELÍK et al,2010;SAMPAIO et al, 2010;SILVA;THORPE et al,2010).…”
Section: Introductionmentioning
confidence: 99%
“…Thus, it was possible to calculate random parameters according to the expression proposed by the Bayesian estimator (Vonesh and Chinchilli, 1997;Sharma and Parton, 2007). As suggested, these sample alternatives for the calibration responses included the selection of trees based on specific categories of stand size (Calama and Montero, 2004;Yang et al, 2009;Gómez-García et al, 2015;Ercanli et al, 2015).…”
Section: Cernementioning
confidence: 99%
“…According to Dorado and Diéguez-Aranda (2006), modelling allows to adjust equations that estimate height according to diameter, including other variables such as age, site index or dominant height, improving the quality of adjustments of height curves. Costa et al (2016) outline that the use of classic regression models requires meeting key assumptions such as independence among observations and homogeneity of variance, which are not always achieved, thus indicating explicit modelling of the covariance structure and the use of mixed models, what allows to generalize structures of spatial-temporal correlations and non-constant variance (Adame et al, 2008;Yang and Huang, 2009;Ercanli et al, 2015). Mixed models are one of the most sophisticated regression techniques with adjustment of a more consistent model, allowing to better verify model variability (Pinheiro and Bates, 2000;Trincado et al 2007;Bueno-López and Bevilacqua, 2012).…”
Section: Introductionmentioning
confidence: 99%
“…Wharton's (1984) model explained slightly lower percentage (93%) of the total dbh variance for beech. Conversely, Ercanli et al (2015) used mixed effect models for predicting dbh from the stump diameter of Oriental beech with a coefficient of determination of 0.99. Thorpe et al (2010) developed a linear model for black spruce explaining 97% of the total dbh variance.…”
Section: Diameter-stump Modelsmentioning
confidence: 99%