杜胡克省4个不同样地卡拉布里亚松(Pinus brutia Ten)树高径关系的定量分析伊拉克库尔德斯坦地区

Tariq K. Salih, Hayfaa M. Saaed Abdulaziz
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引用次数: 0

摘要

120棵树的样本特意从杜胡克省的四个不同的微型站点(Behere、Swaratoka、Zawita和Semel)(每个微型站点30棵树)中选择。其中100个用于模型校正,其余用于所选回归方程的验证。本研究主要由两个部分组成。在第一部分中,首先对每个微站点进行散点图,以检测乳房高度与直径之间的关系类型,从而减少将要测试的回归模型的数量。据此,对4个微点分别建立了4个回归方程。这些模型可以用来观察每个研究地点的高径比是如何相互关联的,以及哪一个地点最适合种植卡拉布里亚松树。在第二部分中,将所有微点作为一个样本,使用Excel和Statographic软件包对25个回归模型的参数进行估计,并对所开发的回归模型进行筛选,以找到最合适的回归模型用于预测杜胡克省四个微点生长的卡拉布里亚松高度。采用确定系数、偏倚%、平均绝对误差、Ohtomo无偏检验、Furnival指数、AIC准则等精度指标检验所建立的方程对高度的预测效果。最后,选取该方程作为最佳回归模型。由方程可知,D与h之间存在线性关系和曲线关系。研究表明,高径比在Swaratoka最高,是最合适的微点,其次是Behere,最后是Zawita和Semel。
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Quantification of the Relationship Between the Height – Diameter of (Pinus brutia Ten), Calabrian Pine Trees in Four Different Microsites in Duhok Governorate. Kurdistan Region, Iraq
A sample of 120 trees was purposely selected from four different microsites (Behere, Swaratoka, Zawita, and Semel), (30 trees from each microsite) in the Duhok governorate. 100 of which were used for model calibration and the rest were used for validation of the selected regression equation. This study consisted of two main parts. In the first part  ,In the beginning, a scatter diagram was conducted for each microsite to detect the type of relationship between height and diameter at breast, which in turn will decrease the number of regression models that will be tested. Accordingly, 4 regression equations were developed for each of the four microsites separately. These models can be used to see how the ratio of height diameter in each of the studied sites is inter-correlated and which of them is the most appropriate for producing Calabrian pine trees.  In the second part, all microsites were then treated as one sample for estimating the parameters of 25 regression models using Excel and Statographic packageThe developed regression models underwent a screening process in order to find the most appropriate one to be used for the prediction of the height of Calabrian pine grown in the four mentioned microsites in Duhok governorate. Many measures of precision among them coefficient of determination, Bias%, Mean absolute error, Ohtomo’s unbiased test, Furnival Index, and AIC criterion were used for testing the performance of the developed equations in the prediction of the height. At last, the equation  was selected, as the best regression model. This equation shows that there is a linear relationship between  and a curvilinear relationship between D and H. The study showed that the height–diameter ratio was highest in Swaratoka and was the most appropriate microsite among the rest, followed by Behere, then Zawita and Semel came in last place.
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