Increasing Volumetric Prediction Accuracy—An Essential Prerequisite for End-Product Forecasting in Red Pine

Sustainable forest management requires accurate estimates of wood volume. At present, red pine (<i>Pinus resinosa</i> Sol. ex Aiton) is the most widely planted conifer tree species in southern Ontario, Canada. Therefore, inside and outside bark volume equations were developed for red pin...

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Main Author: Mahadev Sharma
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Forests
Subjects:
Online Access:https://www.mdpi.com/1999-4907/11/10/1050
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spelling doaj-fd6333ea2118421bb52c4518b7829d2a2020-11-25T02:55:05ZengMDPI AGForests1999-49072020-09-01111050105010.3390/f11101050Increasing Volumetric Prediction Accuracy—An Essential Prerequisite for End-Product Forecasting in Red PineMahadev Sharma0Ontario Forest Research Institute, Ministry of Natural Resources and Forestry, 1235 Queen St. East, Sault Ste. Marie, ON P6A 2E5, CanadaSustainable forest management requires accurate estimates of wood volume. At present, red pine (<i>Pinus resinosa</i> Sol. ex Aiton) is the most widely planted conifer tree species in southern Ontario, Canada. Therefore, inside and outside bark volume equations were developed for red pine trees grown in plantations. One hundred and fifty red pine trees were sampled from 30 even-aged plantations from across Ontario, Canada. Height-diameter pairs along the boles of sampled trees used to calculate stem volumes were obtained from stem analysis. Equations fitted to the data were a combined variable, modified combined variable, and modified form of dimensionally compatible volume equations. These equations were compared for their goodness-of-fit statistics, logical consistency, and predictive accuracy. The goodness-of-fit characteristics for all three equations were comparable for both inside and outside bark volumes. However, the estimated values for the intercept for the modified form of the dimensionally compatible and modified combined variable volume equations were negative and nonsignificant. The combined variable volume equation resulted in logically consistent parameter estimates in the presence of random effects parameters. Therefore, this equation was selected as the inside and outside bark volume equation for red pine trees grown in plantations. A nonlinear mixed-effects modeling approach was applied in fitting the final volume equation that included a weight (power function) to address heteroscedasticity. The equations developed here can be used to calculate inside and outside bark volumes of red pine plantations in boreal forests in Eastern Canada. These equations would require both diameter at breast height (DBH) and total height values in meters.https://www.mdpi.com/1999-4907/11/10/1050tree formvolume and biomasstaper equationproduct recoverymixed-effects models
collection DOAJ
language English
format Article
sources DOAJ
author Mahadev Sharma
spellingShingle Mahadev Sharma
Increasing Volumetric Prediction Accuracy—An Essential Prerequisite for End-Product Forecasting in Red Pine
Forests
tree form
volume and biomass
taper equation
product recovery
mixed-effects models
author_facet Mahadev Sharma
author_sort Mahadev Sharma
title Increasing Volumetric Prediction Accuracy—An Essential Prerequisite for End-Product Forecasting in Red Pine
title_short Increasing Volumetric Prediction Accuracy—An Essential Prerequisite for End-Product Forecasting in Red Pine
title_full Increasing Volumetric Prediction Accuracy—An Essential Prerequisite for End-Product Forecasting in Red Pine
title_fullStr Increasing Volumetric Prediction Accuracy—An Essential Prerequisite for End-Product Forecasting in Red Pine
title_full_unstemmed Increasing Volumetric Prediction Accuracy—An Essential Prerequisite for End-Product Forecasting in Red Pine
title_sort increasing volumetric prediction accuracy—an essential prerequisite for end-product forecasting in red pine
publisher MDPI AG
series Forests
issn 1999-4907
publishDate 2020-09-01
description Sustainable forest management requires accurate estimates of wood volume. At present, red pine (<i>Pinus resinosa</i> Sol. ex Aiton) is the most widely planted conifer tree species in southern Ontario, Canada. Therefore, inside and outside bark volume equations were developed for red pine trees grown in plantations. One hundred and fifty red pine trees were sampled from 30 even-aged plantations from across Ontario, Canada. Height-diameter pairs along the boles of sampled trees used to calculate stem volumes were obtained from stem analysis. Equations fitted to the data were a combined variable, modified combined variable, and modified form of dimensionally compatible volume equations. These equations were compared for their goodness-of-fit statistics, logical consistency, and predictive accuracy. The goodness-of-fit characteristics for all three equations were comparable for both inside and outside bark volumes. However, the estimated values for the intercept for the modified form of the dimensionally compatible and modified combined variable volume equations were negative and nonsignificant. The combined variable volume equation resulted in logically consistent parameter estimates in the presence of random effects parameters. Therefore, this equation was selected as the inside and outside bark volume equation for red pine trees grown in plantations. A nonlinear mixed-effects modeling approach was applied in fitting the final volume equation that included a weight (power function) to address heteroscedasticity. The equations developed here can be used to calculate inside and outside bark volumes of red pine plantations in boreal forests in Eastern Canada. These equations would require both diameter at breast height (DBH) and total height values in meters.
topic tree form
volume and biomass
taper equation
product recovery
mixed-effects models
url https://www.mdpi.com/1999-4907/11/10/1050
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