Additive predictions of aboveground stand biomass in commercial logs and harvest residues for rotation age Pinus radiata plantations in New South Wales, Australia

Xixi Qiao; Huiquan Bi; Yun Li; Fabiano Ximenes; Christopher J Weston; Liubov Volkova; Mohammad Reza Ghaffariyan

doi:10.1007/s11676-021-01307-x

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Additive predictions of aboveground stand biomass in commercial logs and harvest residues for rotation age Pinus radiata plantations in New South Wales, Australia

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Additive predictions of aboveground stand biomass in commercial logs and harvest residues for rotation age Pinus radiata plantations in New South Wales, Australia

Xixi Qiao, Huiquan Bi, Yun Li, Fabiano Ximenes, Christopher J Weston, Liubov Volkova and Mohammad Reza Ghaffariyan

Journal of Forestry, Vol.32, pp.2265-2289

2021

DOI: https://doi.org/10.1007/s11676-021-01307-x

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Abstract

plot-based biomass estimates

wood product

harvest residue

bioenergy

systems of additive and allocative equations

prediction error variance functions

Two systems of additive equations were developed to predict aboveground stand level biomass in log products and harvest residue from routinely measured or predicted stand variables for Pinus radiata plantations in New South Wales, Australia. These plantations were managed under three thinning regimes or stand types before clear-felling at rotation age by cut-to-length harvesters to produce sawlogs and pulpwood. The residue material following a clear-fell operation mainly consisted of stumps, branches and treetops, short off-cut and waste sections due to stem deformity, defects, damage and breakage. One system of equations did not include dummy variables for stand types in the model specification and was intended for more general use in plantations where stand density management regimes were not the same as the stand types in our study. The other system that incorporated dummy variables was for stand type-specific applications. Both systems of equations were estimated using 61 plot-based estimates of biomass in commercial logs and residue components that were derived from systems of equations developed in situ for predicting the product and residue biomass of individual trees. To cater for all practical applications, two sets of parameters were estimated for each system of equations for predicting component and total aboveground stand biomass in fresh and dry weight respectively. The two sets of parameters for the system of equations without dummy variables were jointly estimated to improve statistical efficiency in parameter estimation. The predictive performances of the two systems of equations were benchmarked through a leave-one-plot-out cross validation procedure. They were generally superior to the performance of an alternative two-stage approach that combined an additive system for major components with an allocative system for sub-components. As using forest harvest residue biomass for bioenergy has increasingly become an integrated part of forestry, reliable estimates of product and residue biomass will assist harvest and management planning for clear-fell operations that integrate cut-to-length log production with residue harvesting.

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Title: Additive predictions of aboveground stand biomass in commercial logs and harvest residues for rotation age Pinus radiata plantations in New South Wales, Australia
Authors: Xixi Qiao (Author) - Beijing Forestry University
Huiquan Bi (Author) - The University of Melbourne
Yun Li (Corresponding Author) - Beijing Forestry University
Fabiano Ximenes (Author) - New South Wales Department of Primary Industries
Christopher J Weston (Author) - The University of Melbourne
Liubov Volkova (Author) - The University of Melbourne
Mohammad Reza Ghaffariyan (Author) - University of the Sunshine Coast, Queensland, Forest Industries Research Centre
Publication details: Journal of Forestry, Vol.32, pp.2265-2289
Publisher: Oxford University Press
Date published: 2021
DOI: 10.1007/s11676-021-01307-x
ISSN: 1938-3746; 0022-1201
Copyright note: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Organisation Unit: University of the Sunshine Coast, Queensland; Forest Industries Research Centre; Forest Research Institute
Language: English
Record Identifier: 99523408202621
Output Type: Journal article

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