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Discussion papers
https://doi.org/10.5194/essd-2019-141
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2019-141
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: data description paper 05 Sep 2019

Submitted as: data description paper | 05 Sep 2019

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This discussion paper is a preprint. It is a manuscript under review for the journal Earth System Science Data (ESSD).

A spatially-explicit database of wind disturbances in European forests over the period 2000–2018

Giovanni Forzieri1, Matteo Pecchi1,2, Marco Girardello1, Achille Mauri1, Marcus Klaus3, Christo Nikolov4, Marius Rüetschi5, Barry Gardiner6,7, Julián Tomaštík8, David Small9, Constantin Nistor10, Donatas Jonikavicius11, Jonathan Spinoni1, Luc Feyen1, Francesca Giannetti2, Rinaldo Comino12, Alessandro Wolynski13, Francesco Pirotti14, Fabio Maistrelli15, Savulescu Ionut16, Wurpillot Lucas-Stephanie17, Karlsson Stefan18, Karolina Zieba-Kulawik19, Paulina Strejczek-Jazwinska19, Martin Mokroš20,21, Franz Stefan22, Lukas Krejci23, Ionel Haidu24, Mats Nilsson25, Piotr Wezyk19, Gherardo Chirici2, Alessandro Cescatti1, and Pieter S. A. Beck1 Giovanni Forzieri et al.
  • 1European Commission, Joint Research Centre, Italy
  • 2Department of Agriculture, Food, Environment and Forestry, University of Florence, Italy
  • 3Department of Ecology and Environmental Science, Umeå University, Sweden
  • 4National Forest Centre, Forest Research Institute Zvolen, Zvolen Slovakia
  • 5Department of Land Change Science, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland
  • 6Institute National de la Recherche Agronomique (INRA), Villenave d’Ornon, France
  • 7EFI Planted Forests Facility, 69 Route D’Arcachon, 33612 Cestas, France
  • 8Department of Forest Resource Planning and Informatics, Faculty of Forestry, Technical University in Zvolen, Slovakia
  • 9Remote Sensing Laboratories, Department of Geography, University of Zurich, Switzerland
  • 10Faculty of Geography, University of Bucharest, Romania
  • 11Laboratory of Geomatics, Institute of Land Management and Geomatics, Aleksandras Stulginskis University, Kaunas, Lithuania
  • 12Regione Autonoma Friuli Venezia Giulia, Direzione centrale risorse agricole, forestali e ittiche, Italy
  • 13Provincia autonoma di Trento, Ufficio Pianificazione, Selvicoltura ed Economia forestale, Italy
  • 14Department of Land, Environment, Agriculture and Forestry, University of Padua, Italy
  • 15Provincia Autonoma di Bolzano, Ufficio pianificazione forestale, Italy
  • 16Faculty of Geography, University of Bucharest, Romania
  • 17Institut National de l’Information Geographique et Forestiere, IGN, Saint Mandé, France
  • 18Swedish Forest Agency, Department of Policy and Analysis, Jonkoping, Sweden
  • 19Department of Forest Management, Geomatics and Forest Economics, Institute of Forest Resources Management, Faculty of Forestry, University of Agriculture, Krakow, Poland
  • 20Czech University of Life Sciences Prague, Faculty of Forestry and Wood Sciences, Czech Republic
  • 21Department of Forest Resource Planning and Informatics, Faculty of Forestry, Technical University in Zvolen, Slovakia
  • 22Landesbetrieb Wald und Holz NRW, Forest service, Munster, Germany
  • 23Department of Geoinformatics, Faculty of Science, Palacky University, Olomouc, Czech Republic
  • 24Laboratoire LOTERR-EA7304, Université de Lorraine, Metz Cedex, France
  • 25Sourthern Swedish Forest Research Centre, Swedish University of Agricultural Sciences, Sweden

Abstract. Strong winds may uproot and break trees and represent one of the major natural disturbances for European forests. Wind disturbances have intensified over the last decades globally and are expected to further rise in view of the climate change effects. Despite the importance of such natural disturbances, there are currently no spatially-explicit databases of wind-related impact at Pan-European scale. Here, we present a new database of wind disturbances in European forests (FORWIND). FORWIND comprises more than 80,000 spatially delineated areas in Europe that were disturbed by wind in the period 2000–2018, and describes them in a harmonized and consistent geographical vector format. Correlation analyses performed between the areas in FORWIND and land cover changes retrieved from the Landsat-based Global Forest Change dataset and the MODIS Global Disturbance Index corroborate the robustness of FORWIND. Spearman rank coefficients range between 0.27 and 0.48 (p-value<0.05). When recorded forest areas are rescaled based on their damage degree, correlation increases to 0.54. Wind-damaged growing stock volumes reported in national inventories (FORESTORM dataset) are generally higher than analogous metrics provided by FORWIND in combination with satellite-based biomass and country-scale statistics of growing stock volume. Overall, FORWIND represents a valuable and open-access spatial source to improve our understanding of the vulnerability of forests to winds and develop large-scale monitoring/modelling of natural disturbances. Data sharing is encouraged in order to continuously update and improve FORWIND. The dataset is available at https://doi.org/10.6084/m9.figshare.9555008 (Forzieri et al., 2019).

Giovanni Forzieri et al.
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Giovanni Forzieri et al.
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A spatially-explicit database of wind disturbances in European forests over the period 2000-2018 Giovanni Forzieri, Matteo Pecchi, Marco Girardello, Achille Mauri, Marcus Klaus, Christo Nikolov, Marius Rüetschi, Barry Gardiner, Julián Tomaštík, David Small, Constantin Nistor, Donatas Jonikavicius, Jonathan Spinoni, Luc Feyen, Francesca Giannetti, Rinaldo Comino, Alessandro Wolynski, Francesco Pirotti, Fabio Maistrelli, Savulescu Ionut, Wurpillot Lucas-Stephanie, Karlsson Stefan, Karolina Zieba-Kulawik, Paulina Strejczek-Jazwinska, Martin Mokroš, Franz Stefan, Lukas Krejci, Ionel Haidu, Mats Nilsson, Piotr Wezyk, Gherardo Chirici, Alessandro Cescatti, Pieter S.A. Beck https://doi.org/10.6084/m9.figshare.9555008

Giovanni Forzieri et al.
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Short summary
Strong winds may uproot and break trees and represent a risk for forests. Despite the importance of such natural disturbance and its possible intensification in view of climate change, spatial information of wind-related impacts is currently missing at Pan-European scale. We present a new database of wind disturbances in European forests comprising more than 80,000 records over the period 2000–2018. Our database represents a unique spatial source to study forest disturbances at large scales.
Strong winds may uproot and break trees and represent a risk for forests. Despite the importance...
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