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Individual-tree diameter growth models for black spruce and jack pine plantations in northern Ontario.

机译:安大略省北部的黑云杉和杰克松人工林的单树直径生长模型。

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Individual-tree distance independent diameter growth models were developed for black spruce and jack pine plantations. Data used in this study came via stem analysis on 1170 black spruce (Picea mariana [Mill.] B.S.P.) and 800 jack pine (Pinus banksiana Lamb.) trees sampled from 75 stands of 25 even-aged monospecific plantations for each species in the Canadian boreal forest region of northern Ontario. Of the 75 stands, 50 were randomly selected for each species and all trees from these stands were used for model development. Trees from the remaining stands were used for model evaluation. A nonlinear mixed-effects approach was applied in fitting the diameter growth models. The predictive accuracy of the models was improved by including random effects coefficients. Four selection criteria - random, dominant or codominant, tree size close to quadratic mean diameter, and small sized - were evaluated for accuracy in predicting random effects for a new stand using the developed models. Random effects predicted based on trees selected using the random selection criterion provided more accurate diameter predictions than those using trees obtained via other selection criteria for both species. The models developed here are very important to forest managers as the diameters predicted by these models or, their stand-level summaries (i.e., basal area, average diameter), are used as inputs in any forest growth and yield models. In addition, individual-tree diameter growth models can be used to directly forecast changes in diameter distribution of stands.Digital Object Identifier http://dx.doi.org/10.1016/j.foreco.2011.03.010
机译:为黑云杉和杰克松树人工林开发了独立于树的距离的独立直径生长模型。本研究中使用的数据来自对75棵树上的1170棵黑云杉( Picea mariana [Mill。] BSP)和800顶松树( Lamb。)的茎进行分析。安大略省北部的加拿大北方森林地区,每个物种都有25个均匀年龄的单种人工林的林分。在75个林分中,每种物种随机选择了50个,并将这些林分中的所有树木用于模型开发。其余林分中的树木用于模型评估。应用非线性混合效应方法拟合直径增长模型。通过包括随机效应系数,提高了模型的预测准确性。使用开发的模型,评估了四个选择标准-随机,显性或共性,树木大小接近二次平均直径和小尺寸-预测新林分随机影响的准确性。与使用通过其他选择标准为两个物种获得的树木相比,基于使用随机选择准则选择的树木预测的随机效应提供了更准确的直径预测。此处开发的模型对于森林经营者来说非常重要,因为这些模型或它们的标准水平预测值(即基础面积,平均直径)预测的直径将用作任何森林生长和产量模型的输入。此外,可以使用单树直径增长模型直接预测林分直径的变化。数字对象标识符http://dx.doi.org/10.1016/j.foreco.2011.03.010

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