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Root CSA-Root Biomass Prediction Models in Six Tree Species and Improvement of Models by Inclusion of Root Architectural Parameters

机译:六种树种的根CSA根生物量预测模型和包含根建筑参数的模型改进

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摘要

Models were developed for Norway spruce, Sitka spruce, Scots pine, Pedunculate Oak and European Beech to predict the biomass of individual structural roots based on either basal root cross sectional area (rCSA) assessments (basic models) or on rCSA and additional root architectural measurements (multiple models). The material embraces 1257 roots from 337 trees derived from 33 stands. The soil types of the investigation cover sandy podzols, sandy moraine, brown earth, deep peat, and pseudogley, but all species were not represented on all soil types. The models were developed for stands in three dimension classes depending on the average diameter of the stands and for horizontal roots (angle to the surface less than 45°) and vertical roots (angle to the surface greater than or equal to 45°), respectively. Simple models using rCSA near the stump to predict coarse root biomass (logarithmic models) did not account for stand differences in Norway spruce and Sitka spruce. To eliminate these differences, it was necessary to include root taper and vertical root parameters in the models. Variation between stands concerning the regression between rCSA and root biomass was not found for Pedunculate Oak, Scots Pine or European Beech, but the number of stands of these species was also limited compared with Norway spruce and Sitka spruce.
机译:为挪威云杉,锡特卡云杉,苏格兰松树,带花梗橡树和欧洲山毛榉开发了模型,以基于基部根部横截面积(rCSA)评估(基本模型)或基于rCSA和其他根部结构测量来预测单个结构根的生物量(多种型号)。该材料包含来自33个林分的337棵树的1257根。调查的土壤类型包括沙质足动物,沙质冰ora,棕壤,深层泥炭和拟g,但并不是所有土壤类型都代表了所有物种。针对支架的三维尺寸,分别根据支架的平均直径和水平根部(与表面的角度小于45°)和垂直根部(与表面的角度大于或等于45°)开发了模型。 。使用树桩附近的rCSA预测粗根生物量的简单模型(对数模型)不能解释挪威云杉和锡特卡云杉的林分差异。为了消除这些差异,必须在模型中包括根锥度和垂直根参数。对于花梗橡木,苏格兰松树或欧洲山毛榉,未发现涉及rCSA和根生物量回归的林分之间的差异,但是与挪威云杉和锡特卡云杉相比,这些树种的林分数量也受到限制。

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