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Current issue: 58(5)

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Articles by Thomas Purfürst

Category : Research article

article id 24011, category Research article
Alexander Kaulen, Benjamin Engler, Thomas Purfürst. (2024). Net carbon storage of supplied timber in highly mechanized timber harvest. Silva Fennica vol. 58 no. 4 article id 24011. https://doi.org/10.14214/sf.24011
Keywords: carbon balance; emissions; forest machine data; forestry technique; timber supply chain; traceability
Highlights: CO2 emissions from timber supply comprise only 1.5–5% of the CO2 stored in wood; Distance to the mill has the greatest influence on CO2 emissions; Successful application by combining a few variable parameters from forest machine data with constant parameters to create a net carbon storage of the supplied timber; Simple presentation of the net CO2 storage capacity of wood can influence policy positively.
Abstract | Full text in HTML | Full text in PDF | Author Info

Highly mechanized timber harvesting and timber logistics emit CO2. In turn, the provided timber stores CO2 from the atmosphere as biogenic carbon. This basic assumption resulted in the calculation of net carbon storage of supplied timber. For this, we first developed a formula that represents the carbon content of freshly harvested timber. Coniferous wood contains about 734 kg CO2 m-3 and deciduous wood about 1000 CO2 m-3. Contrary to this, CO2 emissions from trucks, harvesters, and forwarders were calculated using the variable parameters for actual diesel consumption and the distance to the sawmill and constant parameters for the transport of the machine to the stand, lubricants, transport of operators, loading, and fabrication, supply, and maintenance. The method was tested on an actual harvest. The principal findings are that the method is practical, the net carbon storage of the supplied timber is reduced by 1.5% to 5% by harvesting and transport activities, and timber logistics is the largest contributor to emissions. The CO2 emissions for harvesters and forwarders are about 4 kg CO2 m-3, and for downstream timber logistics across all assortments and distances is 11 kg CO2 m-3. We conclude that the emissions are low, vis-a-vis the storage capacity. Emissions and a standardized calculation model are imperative. The model developed here for mapping the net carbon storage of roundwood highlights the climate protection performance of timber and contributes to optimizing climate-friendly timber supply chains.

  • Kaulen, KWF - Kuratorium für Waldarbeit und Forsttechnik e.V., Spremberger Straße 1, 64823 Groß-Umstadt, Germany; University of Freiburg, Chair of Forest Operations, Werthmannstr. 6, 79085 Freiburg, Germany ORCID https://orcid.org/0009-0006-2633-8132 E-mail: alexander.kaulen@kwf-online.de (email)
  • Engler, University of Freiburg, Chair of Forest Operations, Werthmannstr. 6, 79085 Freiburg, Germany ORCID https://orcid.org/0000-0003-2104-8209 E-mail: benjamin.engler@foresteng.uni-freiburg.de
  • Purfürst, University of Freiburg, Chair of Forest Operations, Werthmannstr. 6, 79085 Freiburg, Germany ORCID https://orcid.org/0000-0001-9661-0193 E-mail: thomas.purfuerst@foresteng.uni-freiburg.de

Category : Review article

article id 22018, category Review article
Felipe de Miguel-Díez, Thomas Purfürst, Mauricio Acuna, Eduardo Tolosana-Esteban, Tobias Cremer. (2023). Estimation of conversion factors for wood stacks in landings and their influencing parameters: a comprehensive literature review for America and Europe. Silva Fennica vol. 57 no. 1 article id 22018. https://doi.org/10.14214/sf.22018
Keywords: log properties; roundwood measurement; roundwood purchase; stack properties; wood supply chain
Highlights: Midpoint diameter, stacking quality, crookedness, log length, delimbing quality and bark thickness strongly influence the conversion factors; In Europe and America, a total of 48 methods were developed to estimate the conversion factors of wood stacks; The conversion factors should be estimated for each wood assortment and tree species.
Abstract | Full text in HTML | Full text in PDF | Author Info
In commercial transaction of stacked roundwood, the estimation of the stack net volume plays a key role. One generalized method to determine the net volume is using conversion factors that relate the gross and net volumes. In this literature review the developed methods to estimate the conversion factors as well as their influencing parameters were analyzed based on 153 references from America and Europe. According to the results, 48 different methods (including their variants) for estimating the conversion factors were developed. The newest methods enabled their accurate determination inexpensively, e.g., photo-optical methods or 3D simulation models. The analyzed references revealed that 30 parameters influence the conversion factors. Based on this comprehensive review, each stakeholder involved in the roundwood supply chain can know which method is used for estimating the conversion factors in the analyzed territories and which influencing parameters should be considered when purchasing roundwood in order to accurately assess the solid wood content in the stacks.
  • de Miguel-Díez, Eberswalde University for Sustainable Development, Department of Forest Utilization and Timber Markets, Eberswalde, Germany; University of Freiburg, Chair of Forest Operations, Freiburg, Germany ORCID https://orcid.org/0000-0002-3800-7449 E-mail: felipe.diez@hnee.de (email)
  • Purfürst, University of Freiburg, Chair of Forest Operations, Freiburg, Germany ORCID https://orcid.org/0000-0001-9661-0193 E-mail: thomas.purfuerst@foresteng.uni-freiburg.de
  • Acuna, University of the Sunshine Coast, Forest Research Institute, Sunshine Coast, Queensland, Australia E-mail: macuna@usc.edu.au
  • Tolosana-Esteban, Universidad Politécnica de Madrid, E.T.S.I. Montes, Forestal y del Medio Natural, Madrid, Spain ORCID https://orcid.org/0000-0003-2561-0342 E-mail: eduardo.tolosana@upm.es
  • Cremer, Eberswalde University for Sustainable Development, Department of Forest Utilization and Timber Markets, Eberswalde, Germany ORCID https://orcid.org/0000-0001-7866-944X E-mail: Tobias.Cremer@hnee.de

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