挪威云杉、松树和桦树的锥度、体积和树皮厚度模型

IF 1.8 3区 农林科学 Q2 FORESTRY Scandinavian Journal of Forest Research Pub Date : 2023-08-08 DOI:10.1080/02827581.2023.2243821
E. Hansen, Johannes Rahlf, R. Astrup, T. Gobakken
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引用次数: 1

摘要

描述树干形状的锥形模型是估计树干体积的核心。文献提供了挪威云杉、苏格兰松和桦树这三个主要物种的锥度和体积模型。然而,这些模型主要是使用50多年前建立的方法开发的,并且在锥度和体积之间没有一致性。我们测试了11个锥度方程和6个树皮厚度方程。使用覆盖挪威所有森林地区的大型数据集对模型进行了拟合和评估。使用数值积分将选定的模型转换为体积函数,提供有树皮和无树皮的体积,并与操作使用中的体积函数进行比较。锥度模型导致均方根误差(RMSE)分别为7.2、7.9和9.0 云杉、松树和桦树分别为mm。树皮厚度模型的RMSE分别为2.5、6.1和4.1 mm,分别用于云杉、松树和桦树。用树皮验证体积模型,结果云杉、松树和桦树的RMSE分别为12.7%、13.0%和19.7%。对其他变量,树龄、场地指数、海拔和活冠比例进行了测试,但预测能力没有显著提高。
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Taper, volume, and bark thickness models for spruce, pine, and birch in Norway
ABSTRACT Taper models, which describe the shape of tree stems, are central to estimating stem volume. Literature provides both taper- and volume models for the three main species in Norway, Norway spruce, Scots pine, and birch. These models, however, were mainly developed using approaches established over 50 years ago, and without consistency between taper and volume. We tested eleven equations for taper and six equations for bark thickness. The models were fitted and evaluated using a large dataset covering all forested regions in Norway. The selected models were converted into volume functions using numerical integration, providing both with- and without-bark volumes and compared to the volume functions in operational use. Taper models resulted in root mean squared error (RMSE) of 7.2, 7.9, and 9.0 mm for spruce, pine, and birch respectively. Bark thickness models resulted in RMSE of 2.5, 6.1, and 4.1 mm, for spruce, pine, and birch respectively. Validation of volume models with bark resulted in RMSE of 12.7%, 13.0%, and 19.7% for spruce, pine, and birch respectively. Additional variables, tree age, site index, elevation, and live crown proportion, were tested without resulting in any strong increase in predictive power.
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来源期刊
CiteScore
3.00
自引率
5.60%
发文量
26
审稿时长
3.3 months
期刊介绍: The Scandinavian Journal of Forest Research is a leading international research journal with a focus on forests and forestry in boreal and temperate regions worldwide.
期刊最新文献
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