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dc.contributor.authorMachado Nunes Romeiro, Joyce
dc.contributor.authorEid, Tron Haakon
dc.contributor.authorAntón-Fernández, Clara
dc.contributor.authorKangas, Annika
dc.contributor.authorTrømborg, Erik
dc.date.accessioned2022-07-15T08:31:33Z
dc.date.available2022-07-15T08:31:33Z
dc.date.created2022-02-10T14:49:47Z
dc.date.issued2022-02-10
dc.identifier.citationForest Ecology and Management. 2022, 509 .en_US
dc.identifier.issn0378-1127
dc.identifier.urihttps://hdl.handle.net/11250/3005684
dc.description.abstractIt is expected that European Boreal and Temperate forests will be greatly affected by climate change, causing natural disturbances to increase in frequency and severity. To detangle how, through forest management, we can make forests less vulnerable to the impact of natural disturbances, we need to include the risks of such disturbances in our decision-making tools. The present review investigates: i) how the most important forestry-related natural disturbances are linked to climate change, and ii) different modelling approaches that assess the risks of natural disturbances and their applicability for large-scale forest management planning. Global warming will decrease frozen soil periods, which increases root rot, snow, ice and wind damage, cascading into an increment of bark beetle damage. Central Europe will experience a decrease in precipitation and increase in temperature, which lowers tree defenses against bark beetles and increases root rot infestations. Ice and wet snow damages are expected to increase in Northern Boreal forests, and to reduce in Temperate and Southern Boreal forests. However, lack of snow cover may increase cases of frost-damaged seedlings. The increased temperatures and drought periods, together with a fuel increment from other disturbances, likely enhance wildfire risk, especially for Temperate forests. For the review of European modelling approaches, thirty-nine disturbance models were assessed and categorized according to their required input variables and to the models’ outputs. Probability models are usually common for all disturbance model approaches, however, models that predict disturbance effects seem to be scarce.en_US
dc.language.isoengen_US
dc.publisherElsevier B.V.en_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleNatural disturbances risks in European Boreal and Temperate forests and their links to climate change – A review of modelling approachesen_US
dc.title.alternativeNatural disturbances risks in European Boreal and Temperate forests and their links to climate change – A review of modelling approachesen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2022 The Author(s)en_US
dc.source.pagenumber13en_US
dc.source.volume509en_US
dc.source.journalForest Ecology and Managementen_US
dc.identifier.doi10.1016/j.foreco.2022.120071
dc.identifier.cristin2000075
dc.source.articlenumber120071en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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