Comparison of models for estimating bark thickness of Picea abies in southwest Germany: the role of tree, stand, and environmental factors

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• 作者：Stefan M. Stängle ; Udo H. Sauter ; Carsten F. Dormann
• 关键词：Norway spruce ; Linear mixed ; effects models ; Nonlinear mixed ; effects models ; Generalized additive mixed models ; Allometric equations ; Growth rate ; Climatic effects
• 刊名：Annals of Forest Science
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：74
• 期：1
• 全文大小：
• 刊物主题：Forestry; Wood Science & Technology; Forestry Management; Tree Biology; Environment, general;
• 出版者：Springer Paris
• ISSN：1297-966X
• 卷排序：74

文摘

Key messageBark thickness was shown to vary between regions, stands, and trees. Bark thickness prediction equations of different model complexity can be suggested depending on the purpose of application. Site and stand conditions, which influence variation of growth rate to a large extent, seem to have a strong influence on bark thickness, with better site quality leading to smaller relative bark thickness.