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首页> 外文期刊>Southern Journal of Applied Forestry >Testing the accuracy of growth and yield models for southern hardwood forests
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Testing the accuracy of growth and yield models for southern hardwood forests

机译:测试南部硬木森林生长和产量模型的准确性

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摘要

The accuracy often growth and yield models for Southern Appalachian upland hardwood forests and southern bottomland forests was evaluated. In technical applications, accuracy is the composite of both bias (average error) and precision. Results indicate that GHAT, NATPIS, and a locally calibrated version of NETWIGS may be regarded as being operationally valid growth and yield models for Southern Appalachian yellow-poplar (Liriodendron tulipifera) and mixed oak (Quercus spp.) forests that fall withinthe range of characteristics of the test data set. No publicly available growth and yield models specifically developed for southern bottomland hardwood forests exist. Four general models that contain most of the applicable species to predict growth ofthese forests were tested. SETWIGS was found to be the most accurate of the four models tested and is recommended for use if the reported level of accuracy is acceptable and the target stand characteristics fall within the range of our test data set. Results indicate that the growth and density, dynamics of dense, young stands of both upland and bottomland hardwoods were poorly predicted by the models. Models predicted basal area and density changes in yellow-poplar stands more accurately than mixed hardwoods. Predictions for upland hardwoods were more accurate than those for bottomland hardwoods. Model accuracy uniformly decreases with increasing length of the projection period.
机译:评价了南部阿巴拉契亚山地硬木森林和南部低地森林的经常生长和产量模型的准确性。在技​​术应用中,精度是偏差(平均误差)和精度的总和。结果表明,在特征范围内,南阿巴拉契亚黄杨(Liriodendron tulipifera)和混合栎(Quercus spp。)森林的GHAT,NATPIS和本地校准版本的NETWIGS可被视为有效的生长和产量模型。测试数据集。没有公开可得的专门针对南部底层硬木森林的增长和产量模型。测试了四个通用模型,这些模型包含可预测这些森林生长的大多数适用物种。发现SETWIGS是所测试的四个模型中最准确的,如果报告的精度水平可以接受并且目标林分特性在我们的测试数据集范围内,则建议使用SETWIGS。结果表明,该模型对高地和低地硬木的茂密,幼龄林的生长和密度,动态变化的预测均较差。与混合硬木相比,模型预测的黄杨林基面积和密度变化更准确。陆地硬木的预测比陆地硬木的预测更准确。模型精度随着投影周期长度的增加而均匀降低。

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