Compatible taper and volume models were created for Quercus variabilis Blume (cork oak) forests in North China. 174 trees were felled to obtain stem analysis data. Linear mixed effects analyses were used in modelling. Firstly, a bark thickness model was built. Then diameter at breast height over bark (DBHob) for the inner layers of the 174 trees could be calculated, based on which a total volume model was built. The estimated volume and a specific parameter restriction were then substituted into a polynomial taper model, finally the taper model was fitted and compatible taper and volume models were obtained. Four sets of models based on different data sets were separately built and compared through coefficients of determination (R2), root mean square error (RMSE), value of Akaike’s information criterion (AIC), residuals plots and histograms of residuals. Models based on data of the analyzed stems without ramicorns and simultaneously with relative diameter under 1.5 were chosen as the most precise. Further testing of the chosen models using the jackknife method for the bark thickness and total volume models and a validation data set for the taper model verified that those models can be used to predict bark thickness, diameter at a specific point along the stem, merchantable volume and total stem volume of cork oak forests in North China within specific tree diameter at breast height and height ranges.
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Citation
Zheng C, Wang Y, Jia L, Mason EG, We S, Sun C, Duan J (2017). Compatible taper-volume models of Quercus variabilis Blume forests in north China. iForest 10: 567-575. - doi: 10.3832/ifor2114-010
Academic Editor
Rupert Seidl
Paper history
Received: May 16, 2016
Accepted: Feb 22, 2017
First online: May 08, 2017
Publication Date: Jun 30, 2017
Publication Time: 2.50 months
© SISEF - The Italian Society of Silviculture and Forest Ecology 2017
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This article is distributed under the terms of the Creative Commons Attribution-Non Commercial 4.0 International (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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