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A review on the resilience of temperate forests to extreme precipitation and wind events

dc.contributor.authorKuzee, Tijs
dc.contributor.authorLocatelli, Tommaso
dc.contributor.authorRobinson, Suzanne
dc.contributor.authorPerks, Mike P.
dc.contributor.authorBurgess, Paul J.
dc.contributor.authorKhouakhi, Abdou
dc.date.accessioned2026-04-27T12:56:15Z
dc.date.available2026-04-27T12:56:15Z
dc.date.freetoread2026-04-27
dc.date.issued2026-04-02
dc.date.pubOnline2026-04-02
dc.description.abstractTemperate forests which provide vital ecosystem functions through the provision of timber resources, carbon sequestration, and recreational value are increasingly affected by extreme weather events, with wind and precipitation extremes (drought and excessive rainfall) posing significant challenges to forest resilience. This review synthesizes current knowledge on the impacts of wind and precipitation extremes on temperate forests, focusing on compound disturbance interactions, vulnerability factors, and recovery processes through a systematic review of 248 sources. Research concentrated on single disturbances, with drought and wind most frequently studied. Moreover, there is a focus on short-term resistance and recovery, with limited evidence on reorientation (i.e., transition to a new ecosystem state). Furthermore, we assess recent advancements in disturbance modeling, remote sensing, and machine learning for detecting and forecasting damage from these events. The key observation is that remote sensing and disturbance models are rapidly growing areas of study, but they are skewed toward single disturbance types and are highly specific to particular ecosystems. Machine learning has reduced this specificity and allowed for more data integration in recent years, although small-scale disturbance detection in remote sensing remains challenging owing to data availability limitations. By integrating climate, ecological, and management perspectives, this review concludes that future research and practice must explicitly integrate compound events into multi-hazard models, supported by strengthened long-term (remote sensing) monitoring networks, and adopt adaptive silvicultural strategies. Improved monitoring and multi-hazard modeling will enhance early warning, attribution, and predictive capacity, thereby supporting risk-informed decision-making and the design of targeted adaptive management interventions. Such shifts are essential to sustain ecosystem services and enhance forest resilience under increasing climate extremes.
dc.description.journalNameFrontiers in Forests and Global Change
dc.description.sponsorshipThis research was funded by the Natural Environment Research Council (NERC) sponsored by Central England NERC Training Alliance (CENTA2) Doctoral Training Partnership (grant no. NE/S007350/1).
dc.identifier.citationKuzee T, Locatelli T, Robinson S, et al., (2026) A review on the resilience of temperate forests to extreme precipitation and wind events. Frontiers in Forests and Global Change, Volume 9, 2026, Article number 1746510en_UK
dc.identifier.eissn2624-893X
dc.identifier.elementsID870174
dc.identifier.issn2624-893X
dc.identifier.paperNo1746510
dc.identifier.urihttps://doi.org/10.3389/ffgc.2026.1746510
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/25133
dc.identifier.volumeNo9
dc.language.isoen
dc.publisherFrontiersen_UK
dc.publisher.urihttps://www.frontiersin.org/journals/forests-and-global-change/articles/10.3389/ffgc.2026.1746510/full
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject30 Agricultural, Veterinary and Food Sciencesen_UK
dc.subjectMachine Learning and Artificial Intelligenceen_UK
dc.subject15 Life on Landen_UK
dc.subject13 Climate Actionen_UK
dc.subject3007 Forestry sciencesen_UK
dc.titleA review on the resilience of temperate forests to extreme precipitation and wind eventsen_UK
dc.typeArticle
dcterms.dateAccepted2026-03-11

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