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Equa??es para estimar a biomassa da parte aérea e do sistema radicular em povoamentos de Eucalyptus grandis em sítios com produtividades distintas

机译:估计在桉树祖母的空中部位和根系中的生物量和具有不同生产的地点的生物量

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The main objective of this work was to adjust equations to estimate biomass of shoot and root system in 11-year-old Eucalyptus grandis stands growing in two sites with different productivities. Loamy soil (more productivity site) was classified as a Typic Hapludox (RED) and sandy soil (less productivity site) as a Typic Quartzipsamment (QTZ). Biomass inventory was carried out using ten sample-trees in each site including shoot (stem, bark, leaves and branches) and root system (fine and coarse roots) tree components. Two logarithmic regression equations were adjusted to estimate tree biomass, with diameter at breast height (DBH) and height (H) or DBH2H being used as independent variables. The adjusted models were significant at 95 % of probability by the t Student test. The best-fit equations were found with DBH2H. Validation of common equations for the two sites was based in the combined analyses of coefficient of determination (R2), stand error of estimate (Sy.x) and graphic analysis of residues. Adjusted equations had highest precision for estimate of stem biomass (R2 = 0.99; Sy.x = 0.12) and bark biomass (R2 = 0.97; Sy.x = 0.24). In spite of R2 > 0.70, equation for leaf and branch biomass had low accuracy. Thus, it was suggested the inclusion of other variables related to size of trees. Specific equations for biomass estimation by each site for fine [RED (R2 = 0.97; Sy.x = 0.30); QTZ (R2 = 0.96; Sy.x = 0.15)] and coarse roots [LVd (R2 = 0.98; Sy.x = 0.19); RQ (R2 = 0.99; Sy.x = 0.15)] were more accurate than common equations, since that there was more root biomass allocation in sandy soil (QTZ).
机译:这项工作的主要目的是调整16岁的桉树幼隶射击生物量的方程,在两个网站上生长在不同的产品中。遗传土壤(更多的生产力部位)被归类为典型的Hapludox(红色)和砂土(较少的生产力站点),作为典型的石英素(QTZ)。在每个站点中使用10种样品进行生物量库存,包括芽(茎,树皮,叶子和分支)和根系(细小和粗根)树组分。调整两个对数回归方程以估计树生物质,直径在乳房高度(DBH)和高度(H)或DBH2H用作独立变量。 T学生测试的调整模型占95%的概率。 DBH2H的最佳方程式被发现。两个站点的常见方程的验证基于组合分析的测定系数(R2),估计的效果误差(SY.X)和残留物的图形分析。调整后的方程具有最高的茎生物质估计的精度(R2 = 0.99; sy.x = 0.12)和树皮生物量(R2 = 0.97; sy.x = 0.24)。尽管R2> 0.70,但叶子和分支生物质的方程精度低。因此,建议包含与树的大小相关的其他变量。每个部位的生物量估计的特定方程对于精细[红色(R2 = 0.97; sy.x = 0.30); QTZ(R2 = 0.96; sy.x = 0.15)]和粗根[LVD(R2 = 0.98; sy.x = 0.19); RQ(R2 = 0.99; sy.x = 0.15)比常见方程更准确,因为沙土(QTZ)中有更多的根生物量分配。

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