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

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Enxeñaría Agroforestalgl
dc.contributor.areaÁrea de Enxeñaría e Arquitectura
dc.contributor.authorHevia Cabal, Andrea
dc.contributor.authorCrabiffosse Barrero, Alejandra
dc.contributor.authorÁlvarez González, Juan Gabriel
dc.contributor.authorRuiz González, Ana Daría
dc.contributor.authorMajada Guijo, Juan Pedro
dc.date.accessioned2020-05-07T18:45:58Z
dc.date.available2020-05-07T18:45:58Z
dc.date.issued2017
dc.description.abstractForestry 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 productiongl
dc.description.peerreviewedSIgl
dc.description.sponsorshipWe 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)gl
dc.identifier.citationHevia 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.2017.02.029gl
dc.identifier.doi10.1016/j.renene.2017.02.029
dc.identifier.issn0960-1481
dc.identifier.urihttp://hdl.handle.net/10347/22122
dc.language.isoenggl
dc.publisherElseviergl
dc.relation.publisherversionhttps://doi.org/10.1016/j.renene.2017.02.029gl
dc.rightsCopyright © 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/)gl
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.rights.accessRightsopen accessgl
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectMaritime pinegl
dc.subjectForest biomass wastegl
dc.subjectWeibull distribution functiongl
dc.subjectForestry modellinggl
dc.subjectSilviculturegl
dc.titleNovel approach to assessing residual biomass from pruning: A case study in Atlantic Pinus pinaster Ait. timber forestsgl
dc.typejournal articlegl
dc.type.hasVersionAMgl
dspace.entity.typePublication
relation.isAuthorOfPublication443b974d-f86c-417e-ba14-670506204985
relation.isAuthorOfPublicatione4204ab0-e599-4e21-9a4b-134f311b17d8
relation.isAuthorOfPublication.latestForDiscovery443b974d-f86c-417e-ba14-670506204985

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