globalchange  > 气候变化与战略
DOI: 10.5194/essd-12-257-2020
论文题名:
A spatially explicit database of wind disturbances in European forests over the period 2000-2018
作者: Forzieri G.; Pecchi M.; Girardello M.; Mauri A.; Klaus M.; Nikolov C.; Rüetschi M.; Gardiner B.; Tomastik J.; Small D.; Nistor C.; Jonikavicius D.; Spinoni J.; Feyen L.; Giannetti F.; Comino R.; Wolynski A.; Pirotti F.; Maistrelli F.; Savulescu I.; Wurpillot-Lucas S.; Karlsson S.; Zieba-Kulawik K.; Strejczek-Jazwinska P.; Mokroš M.; Franz S.; Krejci L.; Haidu I.; Nilsson M.; Wezyk P.; Catani F.; Chen Y.-Y.; Luyssaert S.; Chirici G.; Cescatti A.; Beck P.S.A.
刊名: Earth System Science Data
ISSN: 18663508
出版年: 2020
卷: 12, 期:1
语种: 英语
英文摘要: Strong winds may uproot and break trees and represent a major natural disturbance for European forests. Wind disturbances have intensified over the last decades globally and are expected to further rise in view of the effects of climate change. Despite the importance of such natural disturbances, there are currently no spatially explicit databases of wind-related impact at a pan-European scale. Here, we present a new database of wind disturbances in European forests (FORWIND). FORWIND is comprised of more than 80000 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. The database includes all major windstorms that occurred over the observational period (e.g. Gudrun, Kyrill, Klaus, Xynthia and Vaia) and represents approximately 30% of the reported damaging wind events in Europe. Correlation analyses 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. The potential of FORWIND is explored for a range of challenging topics and scientific fields, including scaling relations of wind damage, forest vulnerability modelling, remote sensing monitoring of forest disturbance, representation of uprooting and breakage of trees in large-scale land surface models, and hydrogeological risks following wind damage. Overall, FORWIND represents an essential and open-access spatial source that can be used to improve the understanding, detection and prediction of wind disturbances and the consequent impacts on forest ecosystems and the land-atmosphere system. 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). © 2020 Mary Ann Liebert Inc.. All rights reserved.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/159327
Appears in Collections:气候变化与战略

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作者单位: European Commission, Joint Research Centre, Ispra, Italy; Department of Agriculture, Food Environment and Forestry, University of Florence, Florence, Italy; Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeä, Sweden; National Forest Centre, Forest Research Institute Zvolen, Zvolen, Slovakia; Department of Land Change Science, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland; Institute National de la Recherche Agronomique (INRA), Villenave d'Ornon, France; EFI Planted Forests Facility, 69 Route D'Arcachon, Cestas, France; Department of Forest Resource Planning and Informatics, Faculty of Forestry, Technical University in Zvolen, Zvolen, Slovakia; Remote Sensing Laboratories, Department of Geography, University of Zurich, Zurich, Switzerland; Faculty of Geography, University of Bucharest, Bucharest, Romania; Laboratory of Geomatics, Institute of Land Management and Geomatics, Vytautas Magnus University, Kaunas, Lithuania; Regione Autonoma Friuli Venezia Giulia, Direzione Centrale Risorse Agricole, forestali e ittiche, Udine, Italy; Provincia Autonoma di Trento, Ufficio Pianificazione, Selvicoltura Ed Economia Forestale, Trento, Italy; Department of Land, Environment Agriculture and Forestry, University of Padua, Padua, Italy; Provincia Autonoma di Bolzano, Ufficio Pianificazione Forestale, Bolzano, Italy; Faculty of Geography, University of Bucharest, Bucharest, Romania; Institut National de l'Information Geographique et Forestiere, IGN, Saint Mandé, France; Swedish Forest Agency, Department of Policy and Analysis, Jönköping, Sweden; Department of Forest Management, Geomatics and Forest Economics, Institute of Forest Resources Management, Faculty of Forestry, University of Agriculture, Kraków, Poland; Czech University of Life Sciences Prague, Faculty of Forestry and Wood Sciences, Prague, Czech Republic; Landesbetrieb Wald und Holz, North Rhine-Westphalia Forest Service, Munster, Germany; Department of Geoinformatics, Faculty of Science, Palacky University, Olomouc, Czech Republic; Laboratoire LOTERR-EA7304, Université de Lorraine, Metz CEDEX, France; Southern Swedish Forest Research Centre, Swedish University of Agricultural Sciences, Umeä, Sweden; Department of Earth Sciences, University of Florence, Florence, Italy; Research Center for Environmental Changes, Academia Sinica, Taipei, Nankang, Taiwan; Department of Ecological Sciences, Faculty of Sciences, VU University, Amsterdam, Netherlands

Recommended Citation:
Forzieri G.,Pecchi M.,Girardello M.,et al. A spatially explicit database of wind disturbances in European forests over the period 2000-2018[J]. Earth System Science Data,2020-01-01,12(1)
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