A. Maarit I. Kallio, Victor F. Strîmbu, Helle Gobakken, Terje Gobakken. (2025). Climate change mitigation through alternative uses of Norwegian forest resources. Silva Fennica vol. 59 no. 1 article id 23066. https://doi.org/10.14214/sf.23066

Keywords: harvested wood products; forest sector; biofuels; greenhouse gas emissions; bioeconomy; carbon sink

Highlights: Climate effects of Norwegian forests under various policies were examined under parametric uncertainty; Shifting some of wood use to high-emission-saving wood products, climate benefits from Norwegian forests can be increased without increasing harvests; Only in the short-term it is possible to increase the climate benefits by increasing harvest; Investments to bioethanol production likely decrease climate benefits of forests.

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The carbon substitution and storage effects related to Norwegian forests and the forest sector were compared under three potential roundwood harvest scenarios: maintaining harvests at 2021 levels, increasing harvests by 20% due to policies aimed at maximizing economic benefits from the forest sector, and reducing harvests by 20% due to biodiversity concerns. For harvested wood products, both the current product structure and hypothetical alternatives were considered. The carbon stock development in forests was projected using a forestry simulation tool for Norway. Many uncertainties in carbon storage, substitution parameters, and data have been addressed using Monte Carlo simulations. Shifting a portion of pulpwood use to produce wood-based insulation materials and textile fibres was found to increase the climate benefits from the Norwegian forest sector. In contrast, the shift to bioethanol production had only a marginal effect compared to the current production structure. The analysis spanned the next two decades, which is a period relevant to the investment and operational lifespan of industrial facilities. The results suggest that during this time, smarter use of harvested roundwood for HWPs with high carbon substitution benefits can be an effective means of climate change mitigation. However, in the long term, enhancing forest carbon sinks by reducing harvests may be more beneficial for the climate, provided that global efforts to reduce emissions from energy production are successful and lead to a decrease in emissions associated with the production of various materials.

Kallio, Norwegian University of Life Sciences, Faculty of Environmental Sciences and Natural Resource Management, P.O.Box 5003, NO-1432 Ås, Norway https://orcid.org/0000-0002-5393-761X E-mail: maarit.kallio@nmbu.no
Strîmbu, Norwegian University of Life Sciences, Faculty of Environmental Sciences and Natural Resource Management, P.O.Box 5003, NO-1432 Ås, Norway https://orcid.org/0000-0002-0588-2036 E-mail: victor.strimbu@nmbu.no
Gobakken, Norwegian University of Life Sciences, Faculty of Environmental Sciences and Natural Resource Management, P.O.Box 5003, NO-1432 Ås, Norway E-mail: helle.ross.gobakken@nmbu.no
Gobakken, Norwegian University of Life Sciences, Faculty of Environmental Sciences and Natural Resource Management, P.O.Box 5003, NO-1432 Ås, Norway https://orcid.org/0000-0001-5534-049X E-mail: terje.gobakken@nmbu.no

Category : Research article

article id 25025, category Research article

Mikko T. Niemi, Marjo Palviainen, Annamari Laurén. (2026). Enhanced multi-objective decision support in peatland forestry using Peatland simulator SUSI. Silva Fennica vol. 60 no. 2 article id 25025. https://doi.org/10.14214/sf.25025

Keywords: forest planning; drainage; tree growth; nutrient leaching; trade-offs; ditch depth; greenhouse gas emissions

Highlights: Reaching multidimensional economic and environmental objectives in peatland forest management can be enhanced using process-based ecosystem models; Applying ditch depth of 60 cm in ditch network maintenance improved the trade-off between timber production and soil greenhouse gas emissions compared with the conventional ditch depth of 90 cm; Intensive drainage can reduce tree growth in southern Finland during dry summers.

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Boreal peatland forests have been extensively drained to increase timber production, but the maintenance of shallowed ditches has been questioned due to increased greenhouse gas (GHG) emissions and negative impacts on water quality. Ditch network maintenance (DNM) lowers water table, which typically increases tree growth, but also increases rate of peat decomposition and consequently CO₂ emissions. Multi-objective forest planning balances between the conflicting economic gains and adverse environmental impacts. We used a process-based Peatland simulator SUSI to simulate three management scenarios for 20 forest stands, covering the variety of growing conditions in Finland. We studied how DNM with a reduced ditch depth (60 cm) and a conventional ditch depth (90 cm) affected stand growth, GHG balance, and nitrogen and phosphorus export. Over a 20-year simulation period, annual volume growth response was on average 0.8 m³ ha^-1 when ditch depth was changed from 30 cm to 60 cm and 1.0 m³ ha^-1 when ditch depth was changed from 30 cm to 90 cm. In southern Finland, DNM decreased stand growth in fertile sites. Soil GHG emissions increased on average by 49% and 119% in 60 cm and 90 cm ditch depths, respectively, compared to 30 cm ditch depth. The cost of reducing GHG emissions ranged from 0–22 € per ton of CO₂ in our study sites and scenarios. Our results support the idea that omitting DNM or reducing ditch depth may lead to acceptable compromises, as the marginal cost of soil GHG emissions considerably increases with increasing ditch depth.

Niemi, Department of Forest Sciences, University of Helsinki, 00014 Helsinki, Finland; School of Forest Sciences, University of Eastern Finland, 80101 Joensuu, Finland https://orcid.org/0000-0003-0461-3667 E-mail: mikko.t.niemi@helsinki.fi
Palviainen, Department of Forest Sciences, University of Helsinki, 00014 Helsinki, Finland https://orcid.org/0000-0001-9963-4748 E-mail: marjo.palviainen@helsinki.fi
Laurén, Department of Forest Sciences, University of Helsinki, 00014 Helsinki, Finland https://orcid.org/0000-0002-6835-9568 E-mail: annamari.lauren@helsinki.fi

article id 10798, category Research article

Perttu Anttila, Johannes Ojala, Teijo Palander, Kari Väätäinen. (2023). The effect of road characteristics on timber truck driving speed and fuel consumption based on visual interpretation of road database and data from fleet management system. Silva Fennica vol. 56 no. 4 article id 10798. https://doi.org/10.14214/sf.10798

Keywords: fuel consumption; forest roads; CAN bus; forest logistics; greenhouse gas emissions; log truck; road classes

Highlights: Finnish road and pavement classes explain driving speed and fuel consumption of a timber truck; Other significant explanatory variables include the number of road crossings, season, proportion of distance travelled with a loader, and total laden mass of a truck; In the future, higher-resolution tracking data is needed to construct generalisable models for 76-tonne vehicles.

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Road transport produces 90% of greenhouse gas emissions in timber transport in Finland. It is therefore necessary to understand the factors that affect driving speed, fuel consumption, and ultimately, emissions. The objective of this study was to assess the effect of road characteristics on timber truck driving speed and fuel consumption. Data from the fleet management and transport management systems of two timber trucks were collected over a year. A sample of 104 trips was drawn, and the tracking points were overlaid on the road data in a geographical information system. Thereafter, work phases were determined for the points, and they were visually classified into road and pavement classes. Subsequently, the data of 80 trips were utilised in regression analysis to further study the effects of the visually interpreted variables on driving speed and fuel consumption. Fuel consumption was explained by the proportion of forest roads and distance travelled with a loader, and the number of crossings and season when driving without a load. When driving with a load, both asphalt and gravel pavements decreased consumption, in contrast to an unpaved road. Crossings increased fuel consumption, as did the winter and spring months, and the total laden mass of the truck. In conclusion, the study showed that the functional Finnish road and pavement classes can be used to predict driving speed and fuel consumption.

Anttila, Natural Resources Institute Finland (Luke), Latokartanonkaari 9, FI-00790 Helsinki, Finland https://orcid.org/0000-0002-6131-392X E-mail: perttu.anttila@luke.fi
Ojala, UPM Metsä, Sirkkalantie 13 b, FI-80100 Joensuu, Finland E-mail: johannes.ojala@upm.com
Palander, School of Forest Sciences, University of Eastern Finland (UEF), Yliopistokatu 7, FI-80100 Joensuu, Finland https://orcid.org/0000-0002-9284-5443 E-mail: teijo.s.palander@uef.fi
Väätäinen, Natural Resources Institute Finland (Luke), Yliopistokatu 6, FI-80100 Joensuu, Finland https://orcid.org/0000-0002-6886-0432 E-mail: kari.vaatainen@luke.fi

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