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Models for predicting clearwood mechanical properties of Scots pine

hal.structure.identifierNorthern Arizona University [Flagstaff]
dc.contributor.authorAUTY, David
hal.structure.identifierUniversité Laval [Québec] [ULaval]
dc.contributor.authorACHIM, Alexis
hal.structure.identifierUniversity of the Highlands and Islands [UHI]
dc.contributor.authorMACDONALD, Elspeth
hal.structure.identifierUniversity of Aberdeen
dc.contributor.authorCAMERON, Andrew D.
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorGARDINER, Barry
dc.date.accessioned2024-04-08T12:03:17Z
dc.date.available2024-04-08T12:03:17Z
dc.date.issued2016
dc.identifier.issn0015-749X
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/196257
dc.description.abstractEnWood mechanical properties, such as modulus of elasticity (MOE) and modulus of rupture (MOR), are important determinants of solid lumber performance and value. These properties vary systematically at different scales owing to multiple, potentially confounding, factors. Therefore, a statistical modeling approach may be an effective way to predict the impact of silvicultural practices on mechanical properties. The aim of this study was to develop models for predicting MOE and MOR in Scots pine (Pinus sylvestris L.), as functions of cambial age, height in the stem, wood density, and microfibril angle (MFA). Thirty-six trees were sampled from four mature Scots pine plantations in Scotland, UK. Longitudinal MOE and MOR were determined in static bending on 513 small (300 x 20 x 20 mm) defect-free samples. Nonlinear mixed-effects models based on an exponential function of cambial age were developed to predict the within-stem patterns of variation. The best model for MOR included cambial age, height in the stem, and sample density as explanatory variables, whereas the best MOE model also included a density/MFA term in the predictors. In growth simulations over a range of typical scenarios, the largest effect of silvicultural interventions was on the proportion of juvenile wood in the stem, but these had a negligible impact on mean tree MOE and MOR. The models will be incorporated into a growth, yield, and wood quality simulation system.
dc.language.isoen
dc.publisherSociety of American Foresters
dc.subjectmodels
dc.subjectsimulation
dc.subject.enPinus sylvestris L.
dc.subject.enmodulus of elasticity
dc.subject.enmodulus of rupture
dc.subject.ennonlinear mixed-effects
dc.title.enModels for predicting clearwood mechanical properties of Scots pine
dc.typeArticle de revue
dc.identifier.doi10.5849/forsci.15-092
dc.subject.halSciences du Vivant [q-bio]
dc.subject.halSciences de l'environnement
bordeaux.journalForest Science
bordeaux.page403-413
bordeaux.volume62
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.issue4
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-02631375
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02631375v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Forest%20Science&rft.date=2016&rft.volume=62&rft.issue=4&rft.spage=403-413&rft.epage=403-413&rft.eissn=0015-749X&rft.issn=0015-749X&rft.au=AUTY,%20David&ACHIM,%20Alexis&MACDONALD,%20Elspeth&CAMERON,%20Andrew%20D.&GARDINER,%20Barry&rft.genre=article


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