Alexander Kaulen

Timber harvesting tends to generate controversy in society. Some emphasize the benefits of obtaining renewable resources, while others lament the loss of forest carbon stocks and the resulting emissions. However, as long as the wood does not decompose, it continues to store carbon. Consequently, buildings and goods made of wood become carbon sinks. To illustrate this carbon storage potential, we developed an application that calculates the carbon footprint of mechanized timber harvesting using the production reporting input files »harvested production-hpr« and »machine operating monitor-mom« in the StanForD format generated by harvesters and forwarders. The »HarvestCO2-App« is a free, user-friendly web application for forest owners, machine operators/owners, and policymakers, programmed in R with an R Shiny user interface. The app aims to raise awareness of the carbon storage potential of wood use by providing a quantitative basis for discussion. The app also inquires about the conditions under which timber was harvested. By evaluating this information alongside the calculated carbon footprint, it will be possible in the medium term to conduct a sensitivity analysis of the impact of individual factors on emissions.

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.

Traceability is the ability to follow the processes that a raw material or product goes through. For forestry, this means identifying the wood from the standing tree to the mill entrance and recording all information about the technical (production) and spatial (transportation) manipulation of the timber by linking it to the ID. We reviewed the literature for developments in timber flow traceability. Findings range from disillusionment with the non-application of available forestry technology to enthusiasm for the advancement of technology that—given appropriate incentives of an economic, environmental, consumer-oriented and legislative nature—can rapidly lead to widespread end-to-end media-interruption-free implementation. Based on our research, the solution lies in optical biometric systems that identify the individual piece of wood—without attaching anything—at three crucial points: during assortment at the skid road, at the forest road and at the mill entrance. At all of these points, the data accruing during the timber supply process must be linked to the ID of the piece of wood via data management.