Articles | Volume 12, issue 1
https://doi.org/10.5194/essd-12-257-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-12-257-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
10 Feb 2020
Data description paper |
| 10 Feb 2020
A spatially explicit database of wind disturbances in European forests over the period 2000–2018
Giovanni Forzieri
CORRESPONDING AUTHOR
European Commission, Joint Research Centre, Ispra, Italy
Matteo Pecchi
European Commission, Joint Research Centre, Ispra, Italy
Department of Agriculture, Food, Environment and Forestry, University of Florence, Florence, Italy
Marco Girardello
European Commission, Joint Research Centre, Ispra, Italy
Achille Mauri
European Commission, Joint Research Centre, Ispra, Italy
Marcus Klaus
Department of Forest Ecology and Management, Swedish University of
Agricultural Sciences, Umeå, Sweden
Christo Nikolov
National Forest Centre, Forest Research Institute Zvolen, Zvolen,
Slovakia
Marius Rüetschi
Department of Land Change Science, Swiss Federal Institute for
Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland
Barry Gardiner
Institute National de la Recherche Agronomique (INRA), Villenave
d'Ornon, France
EFI Planted Forests Facility, 69 Route D'Arcachon, Cestas,
France
Julián Tomaštík
Department of Forest Resource Planning and Informatics, Faculty of
Forestry, Technical University in Zvolen, Zvolen, Slovakia
David Small
Remote Sensing Laboratories, Department of Geography, University of
Zurich, Zurich, Switzerland
Constantin Nistor
Faculty of Geography, University of Bucharest, Bucharest, Romania
Donatas Jonikavicius
Laboratory of Geomatics, Institute of Land Management and Geomatics, Vytautas Magnus University, Kaunas, Lithuania
Jonathan Spinoni
European Commission, Joint Research Centre, Ispra, Italy
Luc Feyen
European Commission, Joint Research Centre, Ispra, Italy
Francesca Giannetti
Department of Agriculture, Food, Environment and Forestry, University of Florence, Florence, Italy
Rinaldo Comino
Regione Autonoma Friuli Venezia Giulia, Direzione centrale risorse agricole, forestali e ittiche, Udine, Italy
Alessandro Wolynski
Provincia autonoma di Trento, Ufficio Pianificazione, Selvicoltura
ed Economia forestale, Trento, Italy
Francesco Pirotti
Department of Land, Environment, Agriculture and Forestry,
University of Padua, Padua, Italy
Fabio Maistrelli
Provincia Autonoma di Bolzano, Ufficio pianificazione forestale,
Bolzano, Italy
Ionut Savulescu
Faculty of Geography, University of Bucharest, Bucharest, Romania
Stéphanie Wurpillot-Lucas
Institut National de l'Information Geographique et Forestiere, IGN, Saint Mandé, France
Stefan Karlsson
Swedish Forest Agency, Department of Policy and Analysis, Jönköping, Sweden
Karolina Zieba-Kulawik
Department of Forest Management, Geomatics and Forest Economics,
Institute of Forest Resources Management, Faculty of Forestry, University of
Agriculture, Kraków, Poland
Paulina Strejczek-Jazwinska
Department of Forest Management, Geomatics and Forest Economics,
Institute of Forest Resources Management, Faculty of Forestry, University of
Agriculture, Kraków, Poland
Martin Mokroš
Department of Forest Resource Planning and Informatics, Faculty of
Forestry, Technical University in Zvolen, Zvolen, Slovakia
Czech University of Life Sciences Prague, Faculty of Forestry and
Wood Sciences, Prague, Czech Republic
Stefan Franz
Landesbetrieb Wald und Holz, North Rhine-Westphalia Forest Service, Munster, Germany
Lukas Krejci
Department of Geoinformatics, Faculty of Science, Palacky
University, Olomouc, Czech Republic
Ionel Haidu
Laboratoire LOTERR-EA7304, Université de Lorraine, Metz CEDEX,
France
Mats Nilsson
Southern Swedish Forest Research Centre, Swedish University of
Agricultural Sciences, Umeå, Sweden
Piotr Wezyk
Department of Forest Management, Geomatics and Forest Economics,
Institute of Forest Resources Management, Faculty of Forestry, University of
Agriculture, Kraków, Poland
Filippo Catani
Department of Earth Sciences, University of Florence, Florence, Italy
Yi-Ying Chen
Research Center for Environmental Changes, Academia Sinica, Nankang, Taipei, Taiwan
Sebastiaan Luyssaert
Department of Ecological Sciences, Faculty of Sciences, VU University, Amsterdam, the Netherlands
Gherardo Chirici
Department of Agriculture, Food, Environment and Forestry, University of Florence, Florence, Italy
Alessandro Cescatti
European Commission, Joint Research Centre, Ispra, Italy
Pieter S. A. Beck
European Commission, Joint Research Centre, Ispra, Italy
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Cited
26 citations as recorded by crossref.
- Combined effects of natural disturbances and management on forest carbon sequestration: the case of Vaia storm in Italy R. Pilli et al. 10.1007/s13595-021-01043-6
- Satellite open data to monitor forest damage caused by extreme climate-induced events: a case study of the Vaia storm in Northern Italy G. Vaglio Laurin et al. 10.1093/forestry/cpaa043
- Emergent vulnerability to climate-driven disturbances in European forests G. Forzieri et al. 10.1038/s41467-021-21399-7
- Estimated Biomass Loss Caused by the Vaia Windthrow in Northern Italy: Evaluation of Active and Passive Remote Sensing Options G. Vaglio Laurin et al. 10.3390/rs13234924
- Wind damage to forests and trees: a review with an emphasis on planted and managed forests B. Gardiner 10.1080/13416979.2021.1940665
- Does the winter storm-related wind gust intensity in Germany increase under warming climate? – A high-resolution assessment C. Jung & D. Schindler 10.1016/j.wace.2021.100360
- Highly resolved modeling of extreme wind speed in North America and Europe C. Jung et al. 10.1002/asl.1082
- Human or natural? Landscape context improves the attribution of forest disturbances mapped from Landsat in Central Europe J. Sebald et al. 10.1016/j.rse.2021.112502
- Use of TanDEM-X and SRTM-C Data for Detection of Deforestation Caused by Bark Beetle in Central European Mountains K. Gdulová et al. 10.3390/rs13153042
- Economic Impacts of Forest Storms—Taking Stock of After-Vaia Situation of Local Roundwood Markets in Northeastern Italy A. Udali et al. 10.3390/f12040414
- Mapping the forest disturbance regimes of Europe C. Senf & R. Seidl 10.1038/s41893-020-00609-y
- Post‐disturbance canopy recovery and the resilience of Europe’s forests C. Senf et al. 10.1111/geb.13406
- NDVI-based ecological dynamics of forest vegetation and its relationship to climate change in Romania during 1987–2018 R. Prăvălie et al. 10.1016/j.ecolind.2022.108629
- A Deep Learning Approach for Calamity Assessment Using Sentinel-2 Data D. Scharvogel et al. 10.3390/f11121239
- Estimating VAIA Windstorm Damaged Forest Area in Italy Using Time Series Sentinel-2 Imagery and Continuous Change Detection Algorithms F. Giannetti et al. 10.3390/f12060680
- Concerns about reported harvests in European forests M. Palahí et al. 10.1038/s41586-021-03292-x
- The Effects of Wind Exposure on Scots Pine Trees: Within-Stem Variability of Wood Density and Mechanical Properties A. Tomczak et al. 10.3390/f11101095
- Responding to Large-Scale Forest Damage in an Alpine Environment with Remote Sensing, Machine Learning, and Web-GIS M. Piragnolo et al. 10.3390/rs13081541
- Development of a catalogue of damage in Portuguese forest associated with extreme extratropical cyclones S. Ribeiro et al. 10.1016/j.scitotenv.2021.151948
- Effect of Stem Snapping on Aspen Timber Assortment Recovery in Hemiboreal Forests L. Čakša et al. 10.3390/f12010028
- Automatic Identification of Forest Disturbance Drivers Based on Their Geometric Pattern in Atlantic Forests L. Alonso et al. 10.3390/rs14030697
- Natural disturbances risks in European Boreal and Temperate forests and their links to climate change – A review of modelling approaches J. Machado Nunes Romeiro et al. 10.1016/j.foreco.2022.120071
- Storm and fire disturbances in Europe: Distribution and trends C. Senf & R. Seidl 10.1111/gcb.15679
- Multi-model convection-resolving simulations of the October 2018 Vaia storm over Northeastern Italy L. Giovannini et al. 10.1016/j.atmosres.2021.105455
- A satellite-derived database for stand-replacing windthrow events in boreal forests of European Russia in 1986–2017 A. Shikhov et al. 10.5194/essd-12-3489-2020
- 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
26 citations as recorded by crossref.
- Combined effects of natural disturbances and management on forest carbon sequestration: the case of Vaia storm in Italy R. Pilli et al. 10.1007/s13595-021-01043-6
- Satellite open data to monitor forest damage caused by extreme climate-induced events: a case study of the Vaia storm in Northern Italy G. Vaglio Laurin et al. 10.1093/forestry/cpaa043
- Emergent vulnerability to climate-driven disturbances in European forests G. Forzieri et al. 10.1038/s41467-021-21399-7
- Estimated Biomass Loss Caused by the Vaia Windthrow in Northern Italy: Evaluation of Active and Passive Remote Sensing Options G. Vaglio Laurin et al. 10.3390/rs13234924
- Wind damage to forests and trees: a review with an emphasis on planted and managed forests B. Gardiner 10.1080/13416979.2021.1940665
- Does the winter storm-related wind gust intensity in Germany increase under warming climate? – A high-resolution assessment C. Jung & D. Schindler 10.1016/j.wace.2021.100360
- Highly resolved modeling of extreme wind speed in North America and Europe C. Jung et al. 10.1002/asl.1082
- Human or natural? Landscape context improves the attribution of forest disturbances mapped from Landsat in Central Europe J. Sebald et al. 10.1016/j.rse.2021.112502
- Use of TanDEM-X and SRTM-C Data for Detection of Deforestation Caused by Bark Beetle in Central European Mountains K. Gdulová et al. 10.3390/rs13153042
- Economic Impacts of Forest Storms—Taking Stock of After-Vaia Situation of Local Roundwood Markets in Northeastern Italy A. Udali et al. 10.3390/f12040414
- Mapping the forest disturbance regimes of Europe C. Senf & R. Seidl 10.1038/s41893-020-00609-y
- Post‐disturbance canopy recovery and the resilience of Europe’s forests C. Senf et al. 10.1111/geb.13406
- NDVI-based ecological dynamics of forest vegetation and its relationship to climate change in Romania during 1987–2018 R. Prăvălie et al. 10.1016/j.ecolind.2022.108629
- A Deep Learning Approach for Calamity Assessment Using Sentinel-2 Data D. Scharvogel et al. 10.3390/f11121239
- Estimating VAIA Windstorm Damaged Forest Area in Italy Using Time Series Sentinel-2 Imagery and Continuous Change Detection Algorithms F. Giannetti et al. 10.3390/f12060680
- Concerns about reported harvests in European forests M. Palahí et al. 10.1038/s41586-021-03292-x
- The Effects of Wind Exposure on Scots Pine Trees: Within-Stem Variability of Wood Density and Mechanical Properties A. Tomczak et al. 10.3390/f11101095
- Responding to Large-Scale Forest Damage in an Alpine Environment with Remote Sensing, Machine Learning, and Web-GIS M. Piragnolo et al. 10.3390/rs13081541
- Development of a catalogue of damage in Portuguese forest associated with extreme extratropical cyclones S. Ribeiro et al. 10.1016/j.scitotenv.2021.151948
- Effect of Stem Snapping on Aspen Timber Assortment Recovery in Hemiboreal Forests L. Čakša et al. 10.3390/f12010028
- Automatic Identification of Forest Disturbance Drivers Based on Their Geometric Pattern in Atlantic Forests L. Alonso et al. 10.3390/rs14030697
- Natural disturbances risks in European Boreal and Temperate forests and their links to climate change – A review of modelling approaches J. Machado Nunes Romeiro et al. 10.1016/j.foreco.2022.120071
- Storm and fire disturbances in Europe: Distribution and trends C. Senf & R. Seidl 10.1111/gcb.15679
- Multi-model convection-resolving simulations of the October 2018 Vaia storm over Northeastern Italy L. Giovannini et al. 10.1016/j.atmosres.2021.105455
- A satellite-derived database for stand-replacing windthrow events in boreal forests of European Russia in 1986–2017 A. Shikhov et al. 10.5194/essd-12-3489-2020
- 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
Latest update: 08 Jun 2023
Short summary
Strong winds may uproot and break trees and represent a risk for forests. Despite the importance of this natural disturbance and possible intensification in view of climate change, spatial information about wind-related impacts is currently missing on a pan-European scale. We present a new database of wind disturbances in European forests comprised of more than 80 000 records over the period 2000–2018. Our database is a unique spatial source for the study of forest disturbances at large scales.
Strong winds may uproot and break trees and represent a risk for forests. Despite the importance...
