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hal.structure.identifierForest Research, Northern Research Station
dc.contributor.authorHALE, Sophie A.
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
hal.structure.identifierForest Research, Northern Research Station
dc.contributor.authorGARDINER, Barry
hal.structure.identifierNorthern Research Station
dc.contributor.authorPEACE, Andrew
hal.structure.identifierForest Research, Northern Research Station
dc.contributor.authorNICOLL, Bruce
hal.structure.identifierForest Research, Northern Research Station
hal.structure.identifierNatural Environment Research Council [NERC]
dc.contributor.authorTAYLOR, Philip
hal.structure.identifierForest Research, Northern Research Station
hal.structure.identifierNew Zealand Forest Research Institute
dc.contributor.authorPIZZIRANI, Stefania
dc.date.accessioned2024-04-08T12:01:26Z
dc.date.available2024-04-08T12:01:26Z
dc.date.issued2015
dc.identifier.issn1364-8152
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/196155
dc.description.abstractEnPredicting the probability of wind damage in both natural and managed forests is important for understanding forest ecosystem functioning, the environmental impact of storms and for forest risk management. We undertook a thorough validation of three versions of the hybrid-mechanistic wind risk model, ForestGALES, and a statistical logistic regression model, against observed damage in a Scottish upland conifer forest following a major storm. Statistical analysis demonstrated that increasing tree height and local wind speed during the storm were the main factors associated with increased damage levels. All models provided acceptable discrimination between damaged and undamaged forest stands but there were trade-offs between the accuracy of the mechanistic models and model bias. The two versions of the mechanistic model with the lowest bias gave very comparable overall results at the forest scale and could form part of a decision support system for managing forest wind damage risk.
dc.language.isoen
dc.publisherElsevier
dc.subject.enrisk modelling
dc.subject.endecision support system
dc.subject.enwind damage
dc.subject.enforest disturbance
dc.subject.enmechanistic modelling
dc.subject.envalidation
dc.title.enComparison and validation of three versions of a forest wind risk model
dc.typeArticle de revue
dc.identifier.doi10.1016/j.envsoft.2015.01.016
dc.subject.halSciences de l'environnement/Milieux et Changements globaux
bordeaux.journalEnvironmental Modelling and Software
bordeaux.page27-41
bordeaux.volume68
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-02641350
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02641350v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Environmental%20Modelling%20and%20Software&rft.date=2015&rft.volume=68&rft.spage=27-41&rft.epage=27-41&rft.eissn=1364-8152&rft.issn=1364-8152&rft.au=HALE,%20Sophie%20A.&GARDINER,%20Barry&PEACE,%20Andrew&NICOLL,%20Bruce&TAYLOR,%20Philip&rft.genre=article


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