Full text of this article is only available in PDF format.

Per Kristian Rørstad (email), Erik Trømborg, Even Bergseng, Birger Solberg

Combining GIS and forest modelling in estimating regional supply of harvest residues in Norway

Rørstad P. K., Trømborg E., Bergseng E., Solberg B. (2010). Combining GIS and forest modelling in estimating regional supply of harvest residues in Norway. Silva Fennica vol. 44 no. 3 article id 141. https://doi.org/10.14214/sf.141

Abstract

New and ambitious targets for renewable energy production put attention to increased supply of biomass. Harvest residues are only to a limited extent demanded by the traditional forest industries and represent an unutilized resource for increased production of renewable energy in Norway. The overall objective of this paper is to study how GIS and forest modelling can be combined to improve estimates of the supply of harvest residues, taking different environmental and economic constraints into consideration. The analyses are based on a case study of a forest area of more than 40 000 ha in Southern Norway divided into about 500 private forest properties. The study was carried out by computations of timber harvest using the forestry scenario model SGIS based on extensive forest inventory data at stand level. In the studied area energy utilization of harvest residues is not profitable below an energy price of about EUR 3.2/GJ (NOK 0.10 /kWh) when the distance from roadside to industry is 20 km. Above this level supply increases rapidly over a rather narrow price range and is nearly inelastic above EUR 4.1/GJ (NOK 0.12/kWh). We did not find significant negative shifts in the residues supply caused by changes in location of roundwood harvest over time. Exclusion of collection from stands with a site index (H40) below 14 reduced the potential supply of residues by 16–27%. The optimisation method combined selection of exogenous variables in order to map observed harvesting level and is probably the best approach to map future harvest.

Keywords
bioenergy; forestry; SGIS; supply functions

Author Info
  • Rørstad, Norwegian University of Life Sciences, Dept of Ecology and Natural Resource Management, Ås, Norway E-mail per.kristian.rorstad@umb.no (email)
  • Trømborg, Norwegian University of Life Sciences, Dept of Ecology and Natural Resource Management, Ås, Norway E-mail et@nn.no
  • Bergseng, Norwegian University of Life Sciences, Dept of Ecology and Natural Resource Management, Ås, Norway E-mail eb@nn.no
  • Solberg, Norwegian University of Life Sciences, Dept of Ecology and Natural Resource Management, Ås, Norway E-mail bs@nn.no

Received 15 October 2009 Accepted 25 May 2010 Published 31 December 2010

Views 4722

Available at https://doi.org/10.14214/sf.141 | Download PDF

Creative Commons License CC BY-SA 4.0

Register
Click this link to register to Silva Fennica.
Log in
If you are a registered user, log in to save your selected articles for later access.
Contents alert
Sign up to receive alerts of new content

Your selected articles
Your search results
Borges P., Bergseng E. et al. (2015) Impact of maximum opening area constraints on pr.. Silva Fennica vol. 49 no. 5 article id 1347
Rørstad P. K., Trømborg E. et al. (2010) Combining GIS and forest modelling in estimating.. Silva Fennica vol. 44 no. 3 article id 141