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Predicting individual tree mortality in northern hardwood stands under uneven-aged management in southern Quebec, Canada

机译:在加拿大魁北克南部地区,在年龄不均衡的管理下,预测北部硬木林中的个体树木死亡率

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This study proposes a generalized linear mixed model to predict individual tree mortality in northern hardwood stands under uneven-aged management in Quebec, Canada. The model is based on a complementary log-log (CLL) link function, and was calibrated using permanent-plot data. Tree vigour, stem product, diameter at breast height and stand basal area were tested as explanatory variables. A plot and an interval random effect were specified to account for spatial correlations. When compared with the traditional logit link function, the CLL facilitates the inclusion of the time factor. In this case study, there was an important variability of mortality predictions between the plots and the intervals for a given plot. The interval random effect is thought to be associated with catastrophic mortality. Since both tree vigour and stem product proved to be significant mortality predictors, we recommend that these variables be evaluated to increase the accuracy of mortality models.
机译:这项研究提出了一种广义线性混合模型,以预测加拿大魁北克受不平等年龄管理的北部硬木林分的单株死亡率。该模型基于互补对数对数(CLL)链接功能,并使用永久绘图数据进行了校准。测试树木的活力,茎粗,胸高的直径和根部的基础面积作为解释变量。指定了图和间隔随机效应以说明空间相关性。与传统的logit链接功能相比,CLL便于包含时间因素。在本案例研究中,在给定地块的地块与间隔之间,死亡率预测存在重要的差异。间隔随机效应被认为与灾难性死亡率有关。由于树木活力和茎产品均被证明是重要的死亡率预测指标,因此我们建议对这些变量进行评估,以提高死亡率模型的准确性。

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