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首页> 外文会议>International conference on environmental biotechnology and materials engineering;EBME 2011 >The development of compatible tree biomass models for main species in North-Eastern China
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The development of compatible tree biomass models for main species in North-Eastern China

机译：东北主要树种兼容生物量模型的建立

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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：针对传统生物量模型的缺点，即地上和地下树成分之和不等于整棵树，针对11种树的地上和地下树成分开发了相容的生物量方程。黑龙江省的树种。用于开发生物量模型的数据来自299棵树，这些树是从69个样地中收集的，代表了黑龙江省的林分和立地条件。以总生物量模型为约束，通过将胸高（D）的直径作为自变量，以测度联立方程的形式分别建立了每种成分（茎，枝，叶和根）的相容树生物量方程式。自变量的误差。树木生物量模型的评估和验证程序通过以下统计标准执行：确定系数（R2），误差总和（SEE），平均偏差（MB）和平均绝对偏差（MAB）。结果表明，尽管相容生物量方程的参数估计精度并不优于传统生物量模型，但相容生物量方程可以有效克服传统生物量模型不相容的弱点。

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