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A linkage among whole-stand model, individual-tree model and diameter-distribution model

机译:整树模型,单棵树模型和直径分布模型之间的联系

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Stand growth and yield models include whole-stand models, individual-tree models and diameter-distribution models. In this study, the three models were linked by forecast combination and parameter recovery methods one after another. Individual-tree models combine with whole-stand models through forecast combination. Forecast combination method combines information from different models, disperses errors generated from different models, and then improves forecast accuracy. And then the forecast combination model was linked to diameter-distribution models via parameter recovery methods. During the moment estimation, two methods were used, arithmetic mean diameter and quadratic mean diameter method (A-Q method), and arithmetic mean diameter and diameter variance method (A-V method). Results showed that the forecast combination for predicting stand variables outperformed over the stand-level and tree-level models respectively; A-V method was superior to A-Q method on estimating Weibull parameters; these three different models could be linked very well via forecast combination and parameter recovery.
机译:林分生长和产量模型包括整林模型,单棵树模型和直径分布模型。在这项研究中,这三个模型通过预测组合和参数恢复方法相互联系在一起。通过预测组合将单个树模型与整体模型相结合。预测组合方法可以合并来自不同模型的信息,分散不同模型产生的误差,从而提高预测的准确性。然后,通过参数恢复方法将预测组合模型链接到直径分布模型。在弯矩估算期间,使用了两种方法:算术平均直径和二次平均直径方法(A-Q方法)和算术平均直径和直径方差方法(A-V方法)。结果表明,用于预测林分变量的预测组合分别优于林分模型和树状模型。在估计威布尔参数方面,A-V方法优于A-Q方法。这三种不同的模型可以通过预测组合和参数恢复很好地链接在一起。

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