Novel approach to assessing residual biomass from pruning: A case study in Atlantic Pinus pinaster Ait. timber forests
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Elsevier
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Forestry residual biomass from pruning operations is an important, though little studied, potential resource. Residues normally remain in the stand, since tools for their accurate quantification do not exist and it has no particular end use. Traditional tree biomass estimation models consider the whole-tree, but estimating pruned biomass requires the development of more specific equations. This work provides a modelling approach for assessing biomass along the stem and the corresponding residual biomass from forest pruning, and quantitative results from different pruning intensities in Pinus pinaster Ait. are presented. Two types of models were considered: allometric biomass equations (whole-tree) and biomass ratio equations (tree by height along the stem), and the 2-parameter Weibull distribution function resulted in the best characterization. Diameter at breast height was the best explanatory variable in all equations, and model accuracy increased when models were combined with total tree height for the tree stem and thicker branches, or with crown ratio for the remaining tree crown components. This study provides a powerful tool to estimate residual pruned biomass, enabling its better management as a valuable source of bioenergy, as well as the importance in nutrient balance and fire risk which it plays in a sustainable forestry production
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Hevia A, Crabiffosse A, Álvarez-González JG, Ruiz-González AD, Majada J, Novel approach to assessing residual biomass from pruning: A case study in Atlantic Pinus pinaster Ait. timber forests, Renewable Energy (2017), doi: 10.1016/j.renene.2017.02.029
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https://doi.org/10.1016/j.renene.2017.02.029Sponsors
We thank the Forest Services of the Government of the Principality of Asturias for access to the forests used in this study and for financial support. Thank you to people from CETEMAS (L. González, M. García, P. Vallejo) and SERIDA (J.C. Hernández) for their participation in the fieldwork. Thank you to Ronnie Lendrum for reviewing the English and FORRISK project (Interreg IV B SUDOE 2007–2013) for its support during data analysis. Andrea Hevia was financially supported during fieldwork and data analysis by the Spanish Ministry of Education and Science through the FPU scholarship program (Reference AP2006-03890)
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Copyright © 2017 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0 license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Attribution-NonCommercial-NoDerivatives 4.0 Internacional








