Emergent vulnerability to climate-driven disturbances in European forests

Emergent vulnerability to climate-driven disturbances in European forests

Natural disturbances imperil healthy and productive forests, but quantifying their effects at large scales is challenging. Here the authors apply machine learning to disturbance records and satellite data to quantify and map European forest vulnerability to fires, windthrows, and insect outbreaks th...

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Main Authors: Giovanni Forzieri, Marco Girardello, Guido Ceccherini, Jonathan Spinoni, Luc Feyen, Henrik Hartmann, Pieter S. A. Beck, Gustau Camps-Valls, Gherado Chirici, Achille Mauri, Alessandro Cescatti
Format: Article
Language:English
Published: Nature Publishing Group 2021-02-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-21399-7
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spelling doaj-676ec7dbcdf4401994b9084cff8ab8232021-03-11T11:34:04ZengNature Publishing GroupNature Communications2041-17232021-02-0112111210.1038/s41467-021-21399-7Emergent vulnerability to climate-driven disturbances in European forestsGiovanni Forzieri0Marco Girardello1Guido Ceccherini2Jonathan Spinoni3Luc Feyen4Henrik Hartmann5Pieter S. A. Beck6Gustau Camps-Valls7Gherado Chirici8Achille Mauri9Alessandro Cescatti10European Commission, Joint Research CentreEuropean Commission, Joint Research CentreEuropean Commission, Joint Research CentreEuropean Commission, Joint Research CentreEuropean Commission, Joint Research CentreDepartment of Biogeochemical Processes, Max-Planck Institute for BiogeochemistryEuropean Commission, Joint Research CentreImage Processing Laboratory, Universitat de ValènciaDepartment of Agriculture, Food, Environment and Forestry, University of FlorenceFaculty of Biological and Environmental Sciences, Organismal and Evolutionary Biology Research Programme, University of HelsinkiEuropean Commission, Joint Research CentreNatural disturbances imperil healthy and productive forests, but quantifying their effects at large scales is challenging. Here the authors apply machine learning to disturbance records and satellite data to quantify and map European forest vulnerability to fires, windthrows, and insect outbreaks through 1979-2018.https://doi.org/10.1038/s41467-021-21399-7
collection DOAJ
language English
format Article
sources DOAJ
author Giovanni Forzieri
Marco Girardello
Guido Ceccherini
Jonathan Spinoni
Luc Feyen
Henrik Hartmann
Pieter S. A. Beck
Gustau Camps-Valls
Gherado Chirici
Achille Mauri
Alessandro Cescatti
spellingShingle Giovanni Forzieri
Marco Girardello
Guido Ceccherini
Jonathan Spinoni
Luc Feyen
Henrik Hartmann
Pieter S. A. Beck
Gustau Camps-Valls
Gherado Chirici
Achille Mauri
Alessandro Cescatti
Emergent vulnerability to climate-driven disturbances in European forests
Nature Communications
author_facet Giovanni Forzieri
Marco Girardello
Guido Ceccherini
Jonathan Spinoni
Luc Feyen
Henrik Hartmann
Pieter S. A. Beck
Gustau Camps-Valls
Gherado Chirici
Achille Mauri
Alessandro Cescatti
author_sort Giovanni Forzieri
title Emergent vulnerability to climate-driven disturbances in European forests
title_short Emergent vulnerability to climate-driven disturbances in European forests
title_full Emergent vulnerability to climate-driven disturbances in European forests
title_fullStr Emergent vulnerability to climate-driven disturbances in European forests
title_full_unstemmed Emergent vulnerability to climate-driven disturbances in European forests
title_sort emergent vulnerability to climate-driven disturbances in european forests
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2021-02-01
description Natural disturbances imperil healthy and productive forests, but quantifying their effects at large scales is challenging. Here the authors apply machine learning to disturbance records and satellite data to quantify and map European forest vulnerability to fires, windthrows, and insect outbreaks through 1979-2018.
url https://doi.org/10.1038/s41467-021-21399-7
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AT guidoceccherini emergentvulnerabilitytoclimatedrivendisturbancesineuropeanforests
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