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首页> 外文期刊>Biomass & bioenergy >Relationship between soil chemical composition and potential fuel quality of biomass from poplar short rotation coppices in Portugal and Belgium
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Relationship between soil chemical composition and potential fuel quality of biomass from poplar short rotation coppices in Portugal and Belgium

机译:葡萄牙和比利时的杨树短周期轮作土壤化学成分与生物质潜在燃料质量的关系

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摘要

Soil-woody biomass interactions are relevant for the productivity of bioenergy plantations and biomass quality. In this context, the main objective of this study was to evaluate and to quantify possible relationships between chemical variables of the soil and the produced biomass through a multivariate approach. This latter approach allows to overcome the complex issue of multi-collinearity among variables. Soil and woody biomass samples were collected from two poplar short rotation coppices in Santarém (Portugal) and in Lochristi (Belgium). The results from the analyses of those samples were integrated into three databases with soil, woody biomass and site plots as cases, and 23 physical and chemical properties as variables. The databases were subjected to a multivariate sequence of calculations, which included correlation, principal components, factorial and hierarchical clustering analyses. The calculations showed that the site plots and the woody biomass of genotypes in Lochristi were more homogeneous as compared to Santarém; they also confirmed the high interconnection between soil and woody biomass variables. The higher heating value of the woody biomass correlated well with the soil concentrations of P_2O_5, Mg, Ca, Na and organic C. Linear equations related the higher heating value to the most important soil and woody biomass variables. Finally, the results suggest that the annual monitoring of soil and biomass in SRC systems should be performed to optimize both productivity and woody biomass quality as a fuel.
机译:土壤-木质生物量相互作用与生物能源人工林的生产率和生物量质量有关。在这种情况下,本研究的主要目的是通过多变量方法评估和量化土壤化学变量与产生的生物量之间的可能关系。后一种方法可以克服变量之间多重共线性的复杂问题。从圣塔伦(葡萄牙)和洛克里斯蒂(比利时)的两个杨树短周期轮作群落中收集土壤和木质生物质样品。这些样品的分析结果被整合到三个数据库中,其中以土壤,木质生物量和场地图为例,以23个物理和化学性质为变量。对数据库进行了多元计算,包括相关性,主成分,阶乘和层次聚类分析。计算表明,与圣塔伦相比,Lochristi的位点图和基因型的木质生物量更均匀。他们还证实了土壤和木质生物量变量之间的高度关联。木质生物量的较高的发热量与土壤中P_2O_5,Mg,Ca,Na和有机碳的浓度密切相关。线性方程式将较高的热值与最重要的土壤和木质生物量变量相关。最后,结果表明,应该对SRC系统中的土壤和生物质进行年度监测,以优化生产率和木质生物质作为燃料。

著录项

  • 来源
    《Biomass & bioenergy》 |2017年第10期|66-72|共7页
  • 作者单位

    INIAV, Instituto Nacional de Investigação Agrária e Veterinária, Portugal,Maretec Research Center, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal;

    Centre of Excellence on Plant and Vegetation Ecology (PLECO), Department of Biology, University of Antwerp, Belgium;

    IDMEC, Mechanical Engineering Department, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal;

    Centre of Excellence on Plant and Vegetation Ecology (PLECO), Department of Biology, University of Antwerp, Belgium;

  • 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

    Chemical analysis; Higher heating value; Multivariate analyses; Short rotation coppice; Woody biomass;

    机译:化学分析;发热量高;多元分析;短期轮换;木质生物量;

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