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Impacts of climate change, weather extremes and alternative strategies in managed forests
Swedish University of Agricultural Sciences.
Swedish University of Agricultural Sciences.
Swedish University of Agricultural Sciences.
Linnaeus University, Faculty of Technology, Department of Forestry and Wood Technology.
2019 (English)In: Ecoscience, ISSN 1195-6860, Vol. 26, no 1, p. 53-70Article in journal (Refereed) Published
Abstract [en]

The growth rate of most tree species in boreal forests will increase with changing climate. This increase is counterbalanced by an increased risk of damage due to extreme weather events. It is believed that the risk of storm damage will increase over time, especially if forests continue to be managed as they are today. In this study, a new landscape-level hybrid forest growth model 3PG-Heureka was developed and simulations were performed to predict the damage caused by storm events in Kronoberg county, over a period of 91 years (2010-2100) with different alternative management regimes under various climatic scenarios (historic, RCP4.5 and RCP8.5). The results indicate that damage caused by storm events could drastically reduce the annual volume increment and annual net revenue obtained from forest landscapes if current forest management regimes are used. These problems can be reduced by adopting alternative management strategies involving avoiding thinning, shorter rotation periods and planting alternative tree species. Alternative management strategies could potentially improve annual volume increments and net revenue obtained while reducing storm-felling. Planting Scots pine instead of Norway spruce across the landscape to minimize storm damage is predicted to be less effective than reducing rotation periods.

Place, publisher, year, edition, pages
Taylor & Francis, 2019. Vol. 26, no 1, p. 53-70
Keywords [en]
Landscape modelling, parameterization, storm-felling, short rotation forestry, timber harvesting, net income
National Category
Forest Science
Research subject
Technology (byts ev till Engineering), Forestry and Wood Technology
Identifiers
URN: urn:nbn:se:lnu:diva-80779DOI: 10.1080/11956860.2018.1515597ISI: 000457644500005Scopus ID: 2-s2.0-85061028319OAI: oai:DiVA.org:lnu-80779DiVA, id: diva2:1291006
Available from: 2019-02-22 Created: 2019-02-22 Last updated: 2019-08-29Bibliographically approved

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Bergh, Johan

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf