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Predicting tree-seedling height distributions using subcontinental-scale forest inventory data

机译:使用亚平坦林库存数据预测树幼苗高度分布

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The importance of tree seedlings in determining future stand composition and structure is well documented in forestry literature. When planned or unanticipated overstory removal events occur, subsequent regeneration success is often linked to the number of seedlings and their height distribution. Yet, in most forest inventories, only counts of seedlings are obtained as it is too time-consuming to measure individual seedlings. To better understand the expected height distribution, models were developed to predict Weibull distribution parameters based on seedling abundance information and stand/site characteristics. A number of these characteristics were found to be statistically significant predictors of the distribution parameters; however, a more parsimonious model using stand basal area, stand age, number of seedlings, and latitude provided essentially the same fit statistics. Models were fitted for all species and for selected species subgroups, but there was generally insufficient data at this time to develop species level analyses. Published by Elsevier B.V.
机译:树苗在确定未来立式构成和结构方面的重要性在林业文学中有很好的记录。当发生计划或未意识到的卵形去除事件时,随后的再生成功通常与幼苗数量及其高度分布有关。然而,在大多数森林库存中,只有幼苗的数量都是如此,因为测量单个幼苗太耗时。为了更好地了解预期的高度分布,开发了基于幼苗丰度信息和支架/网站特征来预测Weibull分布参数的模型。发现许多这些特征是分布参数的统计上有显着的预测因子;然而,使用架构基地区域,站立年龄,幼苗数量的更加令人惊讶的模型,以及纬度提供基本相同的统计数据。模型适用于所有物种和所选物种亚组,但此时通常存在足够的数据来开发物种级别分析。由elsevier b.v出版。

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