Author:
Qiao Xixi,Bi Huiquan,Li Yun,Ximenes Fabiano,Weston Christopher J.,Volkova Liubov,Ghaffariyan Mohammad Reza
Abstract
AbstractTwo 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.
Publisher
Springer Science and Business Media LLC
Reference95 articles.
1. Acuña E, Espinosa M, Cancino J, Rubilar R, Muñoz F (2010) Estimating the bioenergy potential of Pinus radiata plantations in Chile. Ciencia e Investigación Agrarian 37(1):93–102
2. Affleck DL, Diéguez-Aranda U (2016) Additive nonlinear biomass equations: a likelihood-based approach. For Sci 62(2):129–140
3. Allen DM (1974) The relationship between variable selection and data agumentation and a method for prediction. Technometrics 16(1):125–127
4. Anon. (2016) Forest management plan 2016. Sydney: softwood plantations division, forestry corporation of NSW. Available at https://www.forestrycorporation.com.au/__data/assets/pdf_file/0010/660628/forest-management-plan-softwood - plantations.pdf. p.46
5. Baker TG, Attiwill PM, Stewart HTL (1984) Biomass equations for Pinus radiata in Gippsland, Victoria. NZ J For Sci 14(1):89–96
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