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Diameter versus girth: which variable provides the best estimate of the cross-sectional area?

机译:直径与周长:哪个变量可以提供最佳的横截面积估计?

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Aim of study : Cross-sectional area is one of the most important forest inventory variable since it is highly correlated with growth and yield at both tree and stand levels. In this research, we evaluated the bias, precision and accuracy of three measurements such as cross-sectional area: the girth, the arithmetic mean diameter, and the geometric mean diameter normally used to estimate the cross-sectional area in practical forestry. Area of study : Measurements were taken in a poplar plantation ( Populus x euramericana (Dode) Guinier cv. Luisa Avanzo) located in Huesca, Spain. Material and Methods : A total of 5,408 cross-sectional areas from 48 poplar trees were measured with and image based software. To test the differences between real and estimated cross-sectional area based on the three measurements of study, a multilevel mixed-effect model was used. Main Results : All three measurements overestimated the cross-sectional area by (0.47%-2.37%) and were found to be biased. Estimations based on arithmetic or geometric mean diameter of the maximum and minimum axes were more accurate than those using tree girth. Research highlights : There was a strong correlation between estimation errors and departures from a circumference in the cross section i.e. estimation errors were larger in elliptical cross-sections than in those closer to a circumference. In order to avoid overestimation of growth and yield derived from cross-sectional area estimates, we recommend using the geometric mean diameter trying to measure the largest and the smallest diameters of the section, especially on trees that are clearly elliptical. Keywords : diameter; circumference; cross-sectional area; poplar plantations.
机译:研究目的:截面积是最重要的森林资源调查变量之一,因为它与树木和林分水平的生长和产量高度相关。在这项研究中,我们评估了三种测量方法的偏差,精度和准确性,例如横截面积:周长,算术平均直径和几何平均直径,通常用于估算实际林业中的横截面积。研究领域:测量是在位于西班牙韦斯卡的白杨人工林(Populus x euramericana(Dode)Guinier cv。Luisa Avanzo)进行的。材料和方法:使用基于图像的软件,对来自48棵杨树的5,408个横截面进行了测量。为了基于三种研究测量值来测试实际横截面积和估计横截面积之间的差异,使用了多级混合效应模型。主要结果:所有三个测量都高估了横截面积(0.47%-2.37%),并且发现有偏差。基于最大轴和最小轴的算术或几何平均直径的估计比使用树围的估计更准确。研究重点:估计误差与横截面与圆周的偏离之间存在很强的相关性,即椭圆形横截面的估算误差大于接近圆周的估算误差。为了避免过高地估计横截面面积所带来的生长和产量,我们建议使用几何平均直径来尝试测量截面的最大和最小直径,尤其是在明显为椭圆形的树木上。关键字:直径;圆周;横截面面积;杨树人工林。

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