Abstract
The objective of this study was to evaluate nonlinear modeling methods to study the taper in Pinus taeda. It was used the logistic model of four parameters in both forms original and modified in the prediction of height along the trunk and the total volume of the trees. Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), standard error of estimates (Syx) and graphical analysis of the residuals were used to evaluate the models. The modified logistic model improved around 60% the standard error of the height estimates along the trunk and, consequently, the prediction of the volume reduced the prediction error by 70%. It was verified that the modified fixed logistic model showed superior fit in relation to the original logistic model.
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Claims 3
Claim · model-written summary
The modified logistic model improved height estimation standard error by around 60%.
- Taxon
- Pinus taeda
Pinus taedat0 - Outcome
- standard error of the height estimatese0
- Direction
- improvede0
- Value
- around 60%e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The modified logistic model improved around 60% the standard error of the height estimates along the trunk”
t0“PINUS TAEDA”
Claim · model-written summary
The modified model reduced volume prediction error by 70%.
- Taxon
- Pinus taedaPinus taedat0
- Outcome
- prediction errore0
- Direction
- reducede0
- Value
- 70%e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the prediction of the volume reduced the prediction error by 70%”
t0“PINUS TAEDA”
Claim · model-written summary
The modified fixed logistic model fit better than the original logistic model.
- Taxon
- Pinus taedaPinus taedat0
- Outcome
- fite0
- Direction
- superiore0
- Comparator
- original logistic modele0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the modified fixed logistic model showed superior fit in relation to the original logistic model”
t0“PINUS TAEDA”