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The simultaneous equations models for the application in forestry

机译:林业应用的同时方程模型

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摘要

In accordance with weakness of traditional biomass models in which the sum of the above- and below-ground tree components was not equal to the whole tree, compatible biomass equations were developed for the above- and below-ground tree components of 11 kinds of tree species in Heilongjiang Province. The data used to develop biomass models are from 299 trees that were collected from 69 sample plots, and represented a wide range of stand and site conditions in Heilongjiang Province. Based on the total biomass model as restrictions, the compatible tree biomass equations for each component (stems, branches, foliages, and roots) were separately established by considering diameter at breast height (D) as independent variables in the form of simultaneous equations with measure error of independent variables. The evaluation and validation procedures for tree biomass models were performed by using the following statistical criterions: the coefficient of determination (R2), sum square of error (SEE), Mean Bias (MB), and Mean Absolute Bias (MAB). The results showed that although parameter estimation accuracy of compatible biomass equations was not better than traditional biomass models, the compatible biomass equations could effectively overcome the weakness of un-compatible of traditional biomass models.
机译:根据传统生物量模型的弱点,其中地下树和地下树组分的总和不等于整树,为11种树的上述和地下树组分开发了兼容的生物量方程黑龙江省物种。用于开发生物质模型的数据是从69个样品地块收集的299棵树,并且在黑龙江省代表了广泛的立场和现场条件。基于总生物量模型作为限制,通过考虑乳房高度(d)的直径作为具有测量的同时方程的形式的独立变量,分别确定每个组分(茎,分支,叶片和根)的兼容树生物质方程。独立变量的错误。通过使用以下统计标准执行树生物量模型的评估和验证程序:确定系数(R2),误差的总和平方(参见),平均偏置(MB)和平均绝对偏置(MAB)。结果表明,尽管兼容生物量方程的参数估计精度并不比传统的生物量模型更好,但兼容的生物质方程可以有效地克服传统生物量模型不合兼容的弱点。

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