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Individual-tree basal area growth models for Scots pine, pubescent birch and Norway spruce on drained peatlands in Finland.

机译:芬兰流失的泥炭地上的苏格兰松树,短毛桦树和挪威云杉的个体树基面积增长模型。

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摘要

Models for individual-tree basal area growth were constructed for Scots pine (Pinus sylvestris L.), pubescent birch (Betula pubescens Ehrh.) and Norway spruce (Picea abies (L.) Karst.) growing in drained peatland stands. The data consisted of two separate sets of permanent sample plots forming a large sample of drained peatland stands in Finland. The dependent variable in all models was the 5-year basal area growth of a tree. The independent tree-level variables were tree dbh, tree basal area, and the sum of the basal area of trees larger than the target tree. Independent stand-level variables were stand basal area, the diameter of the tree of median basal area, and temperature sum. Categorical variables describing the site quality, as well as the condition and age of drainage, were used. Differences in tree growth were used as criteria in reclassifying the a priori site types into new yield classes by tree species. All models were constructed as mixed linear models with a random stand effect. The models were tested against the modelling data and against independent data sets.
机译:构建了在排水的泥炭地林中生长的苏格兰松树(Pinus sylvestris L.),青春期桦树(Betula pubescens Ehrh。)和挪威云杉(Picea abies(L.)Karst。)的单树基础区域生长模型。数据由两组独立的永久性样地组成,形成了芬兰排干的泥炭地林的大样本。在所有模型中,因变量是树木的5年基面积增长。独立的树级变量是树dbh,树的基础面积以及大于目标树的树的基础面积之和。独立的林分水平变量是林分基础面积,中位数基础树的直径和温度总和。使用描述场地质量以及排水条件和年龄的分类变量。将树木生长的差异用作按树木种类将先验位点类型重新分类为新产量类别的标准。所有模型均构建为具有随机站立效应的混合线性模型。针对建模数据和独立数据集对模型进行了测试。

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