Combining interpolated maximum wind gust speed and forest vulnerability for rapid post-storm mapping of potential forest damage areas in Finland

Author:

Laapas Mikko1ORCID,Suvanto Susanne234,Peltoniemi Mikko2,Venäläinen Ari1

Affiliation:

1. Finnish Meteorological Institute , Weather and Climate Change Impact Research, Erik Palménin aukio 1, Helsinki FI-00580 , Finland

2. Natural Resources Institute Finland , Bioeconomy and Environment, Latokartanonkaari 9, Helsinki FI-00790 , Finland

3. University of Birmingham School of Geography, Earth and Environmental Sciences, , Edgbaston, Birmingham B15 2TT , United Kingdom

4. University of Birmingham Birmingham Institute of Forest Research, , Edgbaston, Birmingham B15 2TT , United Kingdom

Abstract

Abstract In Finland, wind-induced forest damage is expected to increase in the future. Demand exists for timely and precise first-hand information about the main impact area of windstorms. Locating potential damage areas quickly is essential for effective operational planning of salvage loggings, aiming to reduce monetary losses of timber and risk for secondary damage caused by insects. This study presents an approach for mapping the potential damage areas immediately after a windstorm, by using high-resolution forest vulnerability data and information on the spatial distribution of maximum wind gust speed derived from weather station observations using kriging with external drift interpolation. The new method is evaluated by analyzing damage caused by nine major windstorms of the 2010s in Finland. Our results show that including roughness length information as an auxiliary variable in the interpolation improved the results and produced wind maps with more plausible structure and better separation between forested and non-forested land areas. The forest vulnerability data were most strongly linked to damage, whilst wind gust speed had weaker results. However, for future storms with unknown damage areas, we consider maximum wind gust speed still essential for defining the main impact area, whereas forest vulnerability data could then be used for more detailed damage predictions. Further advancements of wind interpolation approaches, preferably towards higher resolution and, if possible, based on a denser and more diverse observation network, is needed to fully exploit the potential of combined wind and forest vulnerability data. Albeit we recognize multiple uncertainties, room for improvements and benefits that additional data sources would bring, our study demonstrates a simple approach for rapid mapping of potential forest wind damage areas, which could be further developed into an operational tool.

Funder

Academy of Finland

Horizon 2020

Ministry of Agriculture

Publisher

Oxford University Press (OUP)

Subject

Forestry

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