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A New Diameter Distribution Model for Unmanaged Loblolly Pine Plantations in East Texas

机译:东德克萨斯州未经管理的火炬松人工林的新直径分布模型

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A parameter recovery procedure for the Weibull distribution function based on four percentile equations was used to develop a diameter distribution yield prediction model for unmanaged loblolly pine (Tinus taeda L.) plantations in East Texas. This model was compared with the diameter distribution models of Lenhart and Knowe, which have been used in East Texas. All three models were evaluated with independent observed data. The model developed in this study performed better than the other two models in prediction of trees per acre and cubic-foot volume per acre (wood and bark, excluding stump) across diameter classes. Lenhart's model consistently underestimated the larger-diameter classes because it was developed originally with data mostly collectedin young plantations. Knowe's model overestimated volume in sawtimber-sized trees, which could lead to over estimations of volume in older loblolly pine plantations found in East Texas. An example also is provided to show users how to use this new yieldprediction system. These results support the recommendation that forest managers should use growth and yield models designed and/or calibrated for the region in which they are implemented.
机译:基于四个百分位数方程的Weibull分布函数的参数恢复程序被用来开发东得克萨斯州未经管理的火炬松(Tinus taeda L.)人工林的直径分布产量预测模型。将该模型与在东德克萨斯州使用的Lenhart和Knowe的直径分布模型进行了比较。使用独立的观察数据对所有三个模型进行了评估。本研究中开发的模型在预测直径类别中的每英亩树木和每英亩立方英尺体积(木材和树皮,不包括树桩)方面比其他两个模型更好。 Lenhart的模型始终低估了大直径类,因为它最初是使用主要在年轻人工林中收集的数据开发的。 Knowe的模型高估了锯木大小树木的体积,这可能导致对东德克萨斯州发现的老火炬松人工林的体积过高估计。还提供了一个示例,向用户展示如何使用此新的产量预测系统。这些结果支持以下建议:森林管理者应使用针对其实施区域设计和/或校准的生长和产量模型。

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