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.

开发了两个加法方程组系统来预测原木产品中地上林分水平的生物量，并从常规测量或预测的辐射松林分变量中收获残余物澳大利亚新南威尔士州的人工林。这些人工林在三种疏伐制度或林分类型下进行管理，然后在轮伐期通过定尺收割机进行砍伐，以生产锯木和纸浆木。清除操作后的残留物主要包括树桩，树枝和树梢，由于茎变形，缺陷，损坏和折断而造成的短切边和废料部分。一种方程式系统没有在模型规范中包含林分类型的虚拟变量，并且打算在林分密度管理制度与我们研究中的林分类型不同的人工林中更广泛地使用。另一个包含虚拟变量的系统是针对展位类型的应用程序的。使用61种基于图的商用原木生物量和残留成分估算值来估算这两个方程组，这些估算值是从为预测单个树木的产品和残留生物量而就地开发的方程式系统派生而来的。为了满足所有实际应用，为每个方程组估计了两组参数，分别用于预测新鲜和干重的组分和地上总生物量。联合估计了无虚拟变量的方程组的两组参数，以提高参数估计的统计效率。这两个方程组的预测性能通过留一法交叉验证程序进行了基准测试。它们通常优于替代性两阶段方法的性能，该方法将主要成分的添加系统与子成分的分配系统结合在一起。随着将森林砍伐残余生物质用于生物能源已成为林业不可或缺的一部分，对产品和残余生物质的可靠估计将有助于采伐和经营计划，以实现将原木定尺生产与残留采伐相结合的清晰作业。