A new stand-level growth and yield model, consisting of component equations for stand volume, basal area, survival, and dominant stand height, was developed from a dataset of long-term trials for managed thinned and unthinned even-aged Norway spruce (Picea abies (L.) Karst.) forests in Norway. The developed models predict considerably faster growth rates than the existing Norwegian models. Further, it was found that the existing Norwegian stand-level models do not match the data from the thinning trails. The significance of thinning response functions indicated that thinning increases basal area growth while reducing competition related mortality. No significant effects of thinning were found in the dominant stand height growth. Model examination by means of cross-validation indicated that the models were unbiased and performed well within the data range. An application of the developed stand-level model highlights the potential use for these models in comparing different management scenarios.

根据管理的稀薄和未稀薄的挪威云杉（Picea）的长期试验数据集，开发了一个新的林分生长和产量模型，该模型由林分体积，基础面积，存活率和林分优势高度的组成方程式组成阿比（L.）喀斯特。）挪威的森林。与现有的挪威模型相比，已开发的模型预测的增长率要快得多。此外，发现现有的挪威标准水位模型与稀疏径迹的数据不匹配。稀化反应功能的重要性表明稀化增加了基面积的增长，同时降低了与竞争有关的死亡率。在主要林分高度生长中未发现减薄的显着影响。通过交叉验证进行的模型检查表明，模型在数据范围内无偏见且性能良好。所开发的标准模型的应用突出显示了这些模型在比较不同管理方案时的潜在用途。