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Cumulative continuous predictions for bole and aboveground woody biomass in Eucalyptus globulus plantations in northwestern Spain

机译:西班牙西北部桉树人工林的地上和地上木质生物量的累积连续预测

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摘要

At present there is increasing interest in modelling biomass to estimate carbon sequestration or the availability of forest products for use as bioenergy. The biomass of different tree components can be estimated to provide more detailed information. However, the different components have not been clearly defined. Moreover, the greater the number of components considered, the more difficult it is to fit the system of equations with any guarantee of statistical robustness. To overcome these limitations, we developed a continuous function that predicts cumulative biomass from the stump until any top diameter (including the biomass of branches). We also used two different methods to predict bole biomass: a cumulative continuous biomass function and conversion from volume to biomass by use of a taper equation and average wood density. We used a mixed-effects modelling framework to account for correlated errors in developing the taper equation. We developed a separate equation to estimate the foliar biomass for use in estimating total aboveground tree biomass. The cumulative aboveground woody biomass equation is implicitly additive, and no heteroscedasticity was observed, thereby resolving two of the main modelling goals in the development of biomass equations. For predicting cumulative bole biomass, estimation from volume generated less error, after bias correction, than direct estimation. Moreover, the indirect method also yields useful variables such as volume and height limits. Other variables such as carbon and nutrient contents, calorific power, ash content, etc. can be estimated by multiplying the mean contents by the predicted biomass or, for more accurate predictions, by using equations based on the relative diameter.
机译:目前,人们越来越关注对生物质进行建模以估计碳固存或林产品用作生物能源的可用性。可以估计不同树木成分的生物量以提供更多详细信息。但是,尚未明确定义不同的组件。此外,考虑的组件数量越多,在保证统计鲁棒性的情况下拟合方程组越困难。为了克服这些限制,我们开发了一种连续函数,可以预测从树桩到任何顶部直径(包括分支的生物量)的累积生物量。我们还使用了两种不同的方法来预测胆汁的生物量:累积的连续生物量功能以及通过使用锥度方程和平均木材密度从体积转换为生物量的方法。我们使用了混合效应建模框架来解决锥度方程开发中的相关误差。我们开发了一个单独的方程式来估算用于估算地上树木总生物量的叶生物量。累积的地上木质生物量方程是隐式加和的,没有观察到异方差,从而解决了生物量方程开发中的两个主要建模目标。为了预测累积的胆汁生物量,在偏差校正之后,与直接估算相比,根据体积估算得出的误差较小。此外,间接方法还会产生有用的变量,例如体积和高度限制。其他变量,例如碳和营养物含量,热能,灰分含量等,可以通过将平均含量乘以预测的生物量来估算,或者为了更准确地进行预测,可以使用基于相对直径的方程式进行估算。

著录项

  • 来源
    《Biomass & bioenergy》 |2015年第6期|155-164|共10页
  • 作者单位

    Centro de Investigacion Forestal de Lourizan, Xunta de Galicia, Pontevedra, Spain,Department of Environmental Science, Policy, and Management, UC Berkeley, Berkeley, CA, USA,Departamento de Ingenieria Agroforestal, Universidad de Santiago de Compostela, Lugo, Spain,Centro de Investigacion Forestal de Lourizan, Xunta de Galicia, Carretera de Marin km 3.5, 36153 Pontevedra, Spain;

    Department of Environmental Science, Policy, and Management, UC Berkeley, Berkeley, CA, USA;

    Departamento de Ingenieria Agroforestal, Universidad de Santiago de Compostela, Lugo, Spain;

    CERNA Ingenieria y Asesoria Medioambiental S.L.P., Lugo, Spain;

    Departamento de Ingenieria y Ciencias Agrarias, Universidad de Leon, Ponferrada, Spain;

    Departamento de Ingenieria Agroforestal, Universidad de Santiago de Compostela, Lugo, Spain;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Tasmanian blue gum; Additivity; Heteroscedasticity; Volume; Galicia;

    机译:塔斯马尼亚蓝胶;可加性异方差性;体积;加利西亚;

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