scholarly journals Improving the robustness of biomass functions: from empirical to functional approaches

2014 ◽  
Vol 72 (6) ◽  
pp. 795-810 ◽  
Author(s):  
Ablo Paul Igor Hounzandji ◽  
Mathieu Jonard ◽  
Claude Nys ◽  
Laurent Saint-André ◽  
Quentin Ponette
Keyword(s):  
2012 ◽  
Vol 42 (1) ◽  
pp. 59-66 ◽  
Author(s):  
Torbjörn A. Lestander ◽  
Anders Lundström ◽  
Michael Finell

Knowledge of the components of above-ground biomass of low-quality stems harvested to produce biofuel pellets is important, since bark has higher ash contents (a key quality parameter for the pellets) than wood. Therefore, single-tree biomass functions by Marklund (1988. Rep. 45. Department of Forest Survey, Swedish University of Agricultural Sciences, Umea, Sweden.) were evaluated using a sample population of 1612 Scots pine ( Pinus sylvestris L.), Norway spruce ( Pices abies (L.) Karst.), and birch ( Betula pendula Roth and Betula pubescens Ehrh.) trees and three methods to model bark proportions. Bark percentages calculated subtractively using functions for stem biomass over and under bark showed anomalous patterns, especially for pine and birch. However, additive use of biomass functions for bark biomass and stem biomass under bark resulted in similar patterns to bark percentages traditionally calculated from bark biomass and stem biomass over bark. Published ash contents of bark and stemwood indicate that pine, birch, and spruce stems with breast height (1.3 m) diameters of 4–40, 4–30, and >19 cm, respectively, have <0.7% ash contents (the current limit for the highest quality fuel pellets). However, if the highest recorded ash contents are used, only pine stems meet this criterion. Thus, material of different species and stem dimensions may need to be carefully mixed when whole-stem biomass is used as feedstock for pelletizing.


2012 ◽  
Vol 29 (1) ◽  
pp. 31-36 ◽  
Author(s):  
Z Akasbi ◽  
J Oldeland ◽  
J Dengler ◽  
M Finckh

Forests ◽  
2018 ◽  
Vol 9 (6) ◽  
pp. 310 ◽  
Author(s):  
Carlos Gonzalez-Benecke ◽  
Dehai Zhao ◽  
Lisa Samuelson ◽  
Timothy Martin ◽  
Daniel Leduc ◽  
...  

2008 ◽  
Vol 256 (5) ◽  
pp. 1096-1103 ◽  
Author(s):  
Jozef Pajtík ◽  
Bohdan Konôpka ◽  
Martin Lukac

2008 ◽  
Vol 54 (No. 3) ◽  
pp. 109-120 ◽  
Author(s):  
E. Cienciala ◽  
J. Apltauer ◽  
Z. Exnerová ◽  
F. Tatarinov

This study describes the parameterization of biomass functions applicable to oak (<I>Quercus robur, Quercus petraea</I>) trees grown in the conditions of Central-European forestry. It is based on destructive measurements of 51 grown trees sampled from 6 sites in different regions of the Czech Republic important for oak forest management. The samples covered trees of breast height diameter (<I>D</I>) ranging from 6 to 59 cm, tree height (<I>H</I>) from 6 to 32 m and age between 12 and 152 years. The parameterization was performed for total aboveground biomass and its individual components. The two basic levels of biomass functions utilized <I>D</I> either as a single independent variable or in combination with <I>H</I>. The functions of the third level represented the best function for each biomass component with the optimal combination of available independent variables, which included <I>D, H</I>, crown length (<I>CL</I>), crown width (<I>CW</I>), crown ratio (<I>CR = CL/H</I>), tree age and site altitude. <I>D</I> was found to be a particularly strong predictor for total tree aboveground biomass. <I>H</I> was found to always improve the fit, particularly for the individual components of aboveground biomass. The contribution of <I>CW</I> was minor, but significant for all biomass components, whereas <I>CL</I> and <I>CR</I> were found useful for the components of stem and living branches, respectively. Finally, the remaining variables tree age and altitude were each justified only for one component function, namely living branch biomass and stem bark, respectively. The study also compares the fitted functions with other available references applicable to oak trees.


2007 ◽  
Vol 31 (10) ◽  
pp. 685-692 ◽  
Author(s):  
V MIKSYS ◽  
I VARNAGIRYTEKABASINSKIENE ◽  
I STUPAK ◽  
K ARMOLAITIS ◽  
M KUKKOLA ◽  
...  

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