Journal ArticleDOI
Predicting wood and tracheid properties of Norway spruce
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In this paper, a model was developed for predicting the proportion of latewood and average tracheid length in earlywood, as well as wood density and cell wall thickness in individual annual rings of Norway spruce.About:
This article is published in Forest Ecology and Management.The article was published on 2007-03-30. It has received 75 citations till now. The article focuses on the topics: Tracheid.read more
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Growing Plantation Forests
TL;DR: This work has shown clear trends in growth rates and wood quality in mixed-species plantations, and these trends are likely to continue into the next generation of plantations.
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Wood Density within Norway Spruce Stems
TL;DR: In this article, the variation in average wood density of annual rings, earlywood density, and latewood density in addition to ring width and late wood percentage within Norway spruce (Picea abies (L.) Karst.) stems from the pith to the bark, and from the stem base towards the stem apex.
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Models for predicting wood density variation in Scots pine
TL;DR: In this paper, a model for predicting wood density variation in plantation-grown Scots pine (Pinus sylvestris L.) using position in the stem and radial growth increment as independent variables was developed.
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ANAFORE: A stand-scale process-based forest model that includes wood tissue development and labile carbon storage in trees
Gaby Deckmyn,Hans Verbeeck,M. Op de Beeck,Dries Vansteenkiste,Kathy Steppe,Reinhart Ceulemans +5 more
TL;DR: In this paper, a stand-scale forest model is developed that dynamically simulates, besides carbon (C) and water (H2O) fluxes, wood tissue development from physiological principles.
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Decomposition of Scots pine fine woody debris in boreal conditions: Implications for estimating carbon pools and fluxes
TL;DR: In this paper, the authors examined the effects of litter quality and environmental effects on Scots pine fine woody debris (FWD) decomposition in three forestry-drained peatlands representing different site types along a climatic gradient.
References
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Multilevel Statistical Models
TL;DR: In this article, the authors present a general classification notation for multilevel models and a discussion of the general structure and maximum likelihood estimation for a multi-level model, as well as the adequacy of Ordinary Least Squares estimates.
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Use of Logarithmic Regression in the Estimation of Plant Biomass
TL;DR: In this paper, the basic assumptions of regression analysis are recalled with special reference to the use of a logarithmic transformation, and the limitations imposed on inference-making by failure to comply with these assumptions are discussed.