Articles | Volume 8, issue 3
https://doi.org/10.5194/esd-8-529-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/esd-8-529-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
05 Jul 2017
Research article |
| 05 Jul 2017
Estimation of the high-spatial-resolution variability in extreme wind speeds for forestry applications
Climate Service Centre, Finnish Meteorological Institute, Helsinki,
00101, Finland
Mikko Laapas
Climate Service Centre, Finnish Meteorological Institute, Helsinki,
00101, Finland
Pentti Pirinen
Climate Service Centre, Finnish Meteorological Institute, Helsinki,
00101, Finland
Matti Horttanainen
Climate Service Centre, Finnish Meteorological Institute, Helsinki,
00101, Finland
Reijo Hyvönen
Climate Service Centre, Finnish Meteorological Institute, Helsinki,
00101, Finland
Ilari Lehtonen
Climate Service Centre, Finnish Meteorological Institute, Helsinki,
00101, Finland
Päivi Junila
Climate Service Centre, Finnish Meteorological Institute, Helsinki,
00101, Finland
Meiting Hou
China Meteorological Administration Training Centre, Beijing
100081, China
Heli M. Peltola
School of Forest Sciences, University of Eastern Finland, Joensuu,
80101, Finland
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Cited
15 citations as recorded by crossref.
- High-resolution topographical information improves tree-level storm damage models S. Suvanto et al. 10.1139/cjfr-2017-0315
- Evaluation of Salvage Logging Productivity and Costs in Windthrown Norway Spruce-Dominated Forests K. Kärhä et al. 10.3390/f9050280
- Predicting Spatial Patterns of Sindbis Virus (SINV) Infection Risk in Finland Using Vector, Host and Environmental Data R. Uusitalo et al. 10.3390/ijerph18137064
- The utility of fused airborne laser scanning and multispectral data for improved wind damage risk assessment over a managed forest landscape in Finland R. Gopalakrishnan et al. 10.1007/s13595-020-00992-8
- Extreme weather and climate events in northern areas: A review J. Walsh et al. 10.1016/j.earscirev.2020.103324
- Projected Changes in European and North Atlantic Seasonal Wind Climate Derived from CMIP5 Simulations K. Ruosteenoja et al. 10.1175/JCLI-D-19-0023.1
- Interpreting wind damage risk–how multifunctional forest management impacts standing timber at risk of wind felling M. Potterf et al. 10.1007/s10342-022-01442-y
- Climate change induces multiple risks to boreal forests and forestry in Finland: A literature review A. Venäläinen et al. 10.1111/gcb.15183
- Mitigating the risk of wind damage at the forest landscape level by using stand neighbourhood and terrain elevation information in forest planning R. Ruotsalainen et al. 10.1093/forestry/cpac039
- Diversification of forest management can mitigate wind damage risk and maintain biodiversity M. Potterf et al. 10.1007/s10342-023-01625-1
- High-resolution mapping of forest vulnerability to wind for disturbance-aware forestry S. Suvanto et al. 10.1016/j.foreco.2019.117619
- Combining interpolated maximum wind gust speed and forest vulnerability for rapid post-storm mapping of potential forest damage areas in Finland M. Laapas et al. 10.1093/forestry/cpad005
- Spatiotemporal Dynamics of Maximum Wind Speed Using the Wind Multiplier Downscaling Method in the Yangtze River Inland Waterway from 1980 to 2017 L. Liu & F. Zhang 10.3390/atmos12091216
- An emergency response model for the formation and dispersion of plumes originating from major fires (BUOYANT v4.20) J. Kukkonen et al. 10.5194/gmd-15-4027-2022
- The 10-Year Return Levels of Maximum Wind Speeds under Frozen and Unfrozen Soil Forest Conditions in Finland M. Laapas et al. 10.3390/cli7050062
15 citations as recorded by crossref.
- High-resolution topographical information improves tree-level storm damage models S. Suvanto et al. 10.1139/cjfr-2017-0315
- Evaluation of Salvage Logging Productivity and Costs in Windthrown Norway Spruce-Dominated Forests K. Kärhä et al. 10.3390/f9050280
- Predicting Spatial Patterns of Sindbis Virus (SINV) Infection Risk in Finland Using Vector, Host and Environmental Data R. Uusitalo et al. 10.3390/ijerph18137064
- The utility of fused airborne laser scanning and multispectral data for improved wind damage risk assessment over a managed forest landscape in Finland R. Gopalakrishnan et al. 10.1007/s13595-020-00992-8
- Extreme weather and climate events in northern areas: A review J. Walsh et al. 10.1016/j.earscirev.2020.103324
- Projected Changes in European and North Atlantic Seasonal Wind Climate Derived from CMIP5 Simulations K. Ruosteenoja et al. 10.1175/JCLI-D-19-0023.1
- Interpreting wind damage risk–how multifunctional forest management impacts standing timber at risk of wind felling M. Potterf et al. 10.1007/s10342-022-01442-y
- Climate change induces multiple risks to boreal forests and forestry in Finland: A literature review A. Venäläinen et al. 10.1111/gcb.15183
- Mitigating the risk of wind damage at the forest landscape level by using stand neighbourhood and terrain elevation information in forest planning R. Ruotsalainen et al. 10.1093/forestry/cpac039
- Diversification of forest management can mitigate wind damage risk and maintain biodiversity M. Potterf et al. 10.1007/s10342-023-01625-1
- High-resolution mapping of forest vulnerability to wind for disturbance-aware forestry S. Suvanto et al. 10.1016/j.foreco.2019.117619
- Combining interpolated maximum wind gust speed and forest vulnerability for rapid post-storm mapping of potential forest damage areas in Finland M. Laapas et al. 10.1093/forestry/cpad005
- Spatiotemporal Dynamics of Maximum Wind Speed Using the Wind Multiplier Downscaling Method in the Yangtze River Inland Waterway from 1980 to 2017 L. Liu & F. Zhang 10.3390/atmos12091216
- An emergency response model for the formation and dispersion of plumes originating from major fires (BUOYANT v4.20) J. Kukkonen et al. 10.5194/gmd-15-4027-2022
- The 10-Year Return Levels of Maximum Wind Speeds under Frozen and Unfrozen Soil Forest Conditions in Finland M. Laapas et al. 10.3390/cli7050062
Latest update: 14 Dec 2024
Short summary
The rapidly growing forest-based bioeconomy calls for increasing wood harvesting intensity, and an increase in thinning and a final felling area. This may increase wind damage risks at the upwind edges of new cleared felling areas and thinned stands. Efficient wind risk assessment is needed. We demonstrate a pragmatic and computationally feasible method for identifying at a high spatial resolution those locations having the highest forest wind damage risks.
The rapidly growing forest-based bioeconomy calls for increasing wood harvesting intensity, and...
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