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Natural disturbances risks in European Boreal and Temperate forests and their links to climate change – A review of modelling approaches

dc.contributor.authorMachado Nunes Romeiro, Joyce
dc.contributor.authorEid, Tron
dc.contributor.authorAntón-Fernández, Clara
dc.contributor.authorKangas, Annika
dc.contributor.authorTrømborg, Erik
dc.contributor.departmentid4100310510
dc.contributor.orcidhttps://orcid.org/0000-0002-8637-5668
dc.contributor.organizationLuonnonvarakeskus
dc.date.accessioned2022-02-16T07:22:34Z
dc.date.accessioned2025-05-28T14:31:17Z
dc.date.available2022-02-16T07:22:34Z
dc.date.issued2022
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.
dc.description.vuosik2022
dc.format.bitstreamtrue
dc.format.pagerange13 p.
dc.identifier.olddbid494169
dc.identifier.oldhandle10024/551617
dc.identifier.urihttps://jukuri.luke.fi/handle/11111/25118
dc.identifier.urnURN:NBN:fi-fe2022021619309
dc.language.isoen
dc.okm.corporatecopublicationei
dc.okm.discipline4112
dc.okm.internationalcopublicationon
dc.okm.openaccess2 = Hybridijulkaisukanavassa ilmestynyt avoin julkaisu
dc.okm.selfarchivedon
dc.publisherElsevier BV
dc.relation.articlenumber120071
dc.relation.doi10.1016/j.foreco.2022.120071
dc.relation.ispartofseriesForest Ecology and Management
dc.relation.issn0378-1127
dc.relation.volume509
dc.rightsCC BY 4.0
dc.source.identifierhttps://jukuri.luke.fi/handle/10024/551617
dc.subject.ysoNatural disturbance
dc.subject.ysoForest modelling
dc.subject.ysoforest management
dc.subject.ysoLarge-scale forest management
dc.subject.ysoRisk assessment
dc.subject.ysoForest planning
dc.teh41007-00192000
dc.titleNatural disturbances risks in European Boreal and Temperate forests and their links to climate change – A review of modelling approaches
dc.typepublication
dc.type.okmfi=A2 Katsausartikkeli tieteellisessä aikakauslehdessä|sv=A2 Översiktsartikel i en vetenskaplig tidskrift|en=A2 Review article, Literature review, Systematic review|
dc.type.versionfi=Publisher's version|sv=Publisher's version|en=Publisher's version|

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