Spatially explicit assessment of forest road suitability for timber extraction and hauling in Switzerland

Author:

Fraefel MarielleORCID,Bont Leo G.ORCID,Fischer ChristophORCID

Abstract

AbstractEfficient forest management, and wood production in particular, requires a forest road network of appropriate density and bearing capacity. The road network affects the choice of a suitable extraction method and the length of the transport route from the forest, while the road standard defines the truck type that can be used.We evaluate the forest road network’s economic suitability for harvesting operations in the entire Swiss forest, an area of about 13,000 km2 covering a range of topographies, based on the Swiss National Forest Inventory’s (NFI) forest road dataset. This dataset is based on information from an interview survey with the local forest services and includes all forest roads in Switzerland capable of carrying trucks. Extraction options and hauling routes are analysed together; thus, the entire logging process is examined.Model results include maps of the most suitable extraction method; extraction costs; hauling costs; and a suitability map based on a combination of the results. While the larger part of the Swiss forest is classified as “suitable” for economic harvesting operations, significant portions also fall into the “limited suitability” and “not suitable” categories. Our analysis provides an objective, country-wide, spatially explicit assessment of timber accessibility. The resulting suitability map helps identify areas where timber harvesting is economic using the current forest road network, and where it is not. The model results can be used in road network planning and management, for example, by comparing road-network re-design scenarios, and compared to the spatial distribution of available wood volume.

Funder

Eidgenössische Forschungsanstalt für Wald, Schnee und Landschaft WSL

Bundesamt für Umwelt

WSL - Eidgenössische Forschungsanstalt für Wald, Schnee und Landschaft

Publisher

Springer Science and Business Media LLC

Subject

Plant Science,Forestry

Reference51 articles.

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