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Novel approach to assessing residual biomass from pruning: A case study in Atlantic Pinus pinaster Ait. timber forests

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  • Hevia, Andrea
  • Crabiffosse, Alejandra
  • Álvarez-González, Juan Gabriel
  • Ruiz-González, Ana Daria
  • Majada, Juan

Abstract

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.

Suggested Citation

  • Hevia, Andrea & Crabiffosse, Alejandra & Álvarez-González, Juan Gabriel & Ruiz-González, Ana Daria & Majada, Juan, 2017. "Novel approach to assessing residual biomass from pruning: A case study in Atlantic Pinus pinaster Ait. timber forests," Renewable Energy, Elsevier, vol. 107(C), pages 620-628.
    • Handle: RePEc:eee:renene:v:107:y:2017:i:c:p:620-628
    DOI: 10.1016/j.renene.2017.02.029
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    References listed on IDEAS

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    1. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    2. Sajdak, M. & Velázquez-Martí, B. & López-Cortés, I. & Fernández-Sarría, A. & Estornell, J., 2014. "Prediction models for estimating pruned biomass obtained from Platanus hispanica Münchh. used for material surveys in urban forests," Renewable Energy, Elsevier, vol. 66(C), pages 178-184.
    3. Velázquez-Martí, B. & Sajdak, M. & López-Cortés, I., 2013. "Available residual biomass obtained from pruning Morus alba L. trees cultivated in urban forest," Renewable Energy, Elsevier, vol. 60(C), pages 27-33.
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