Predicting wood stiffness of lodgepole pine trees using acoustic tools and green density
Upstream identification of wood properties using non-destructive testing methods such as acoustic velocity (AV) measurements is important for optimizing allocation of wood to mills or products. We evaluated the effectiveness of field AV measurement tools in predicting lodgepole pine wood stiffness (...
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| Language: | English |
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Canadian Institute of Forestry
2021-01-01
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| Series: | The Forestry Chronicle |
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| Online Access: | https://pubs.cif-ifc.org/doi/10.5558/tfc2021-007 |
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| author | James D. Stewart Ross Koppenaal Antoine Lalumière Roger J. Whitehead |
| author_facet | James D. Stewart Ross Koppenaal Antoine Lalumière Roger J. Whitehead |
| author_sort | James D. Stewart |
| collection | DOAJ |
| description | Upstream identification of wood properties using non-destructive testing methods such as acoustic velocity (AV) measurements is important for optimizing allocation of wood to mills or products. We evaluated the effectiveness of field AV measurement tools in predicting lodgepole pine wood stiffness (modulus of elasticity, MOE) as measured by Silviscan on wood samples. AV was measured on trees and logs from six sites in Alberta and British Columbia. We evaluated the effect on MOE estimation of calculating averages of the adjustment factor k and of green density (GD) at different spatial scales from individual tree to population. The effect of using forest inventory variables on MOE prediction were also examined. Prediction of tree-level MOE from tree-level measurements of AV, k and GD resulted in R2 values of 0.59. Using estimates of k and GD averaged at plot, site or population scales significantly diminished the R2 of the MOE predictions at tree level. Predicting MOE at plot or stand level from corresponding averages of AV, k and GD gave R2 values >0.8. Including inventory variables in tree-level MOE predictions increased the R2 to 0.62. AV measurements can give operationally useful estimates of MOE in lodgepole pine trees at the stand level. |
| format | Article |
| id | doaj-art-4ecfa55c272a49239bef609b103308de |
| institution | DOAJ |
| issn | 0015-7546 1499-9315 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Canadian Institute of Forestry |
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| series | The Forestry Chronicle |
| spelling | doaj-art-4ecfa55c272a49239bef609b103308de2025-08-20T02:59:41ZengCanadian Institute of ForestryThe Forestry Chronicle0015-75461499-93152021-01-019701526410.5558/tfc2021-007Predicting wood stiffness of lodgepole pine trees using acoustic tools and green densityJames D. Stewart0Ross Koppenaal1Antoine Lalumière2Roger J. Whitehead3Natural Resources Canada, Canadian Forest Service, Canadian Wood Fibre Centre, Edmonton, ABNatural Resources Canada, Canadian Forest Service, Canadian Wood Fibre Centre, Victoria, BCNatural Resources Canada, Canadian Forest Service, Canadian Wood Fibre Centre, Victoria, BCNatural Resources Canada, Canadian Forest Service, Canadian Wood Fibre Centre, Victoria, BCUpstream identification of wood properties using non-destructive testing methods such as acoustic velocity (AV) measurements is important for optimizing allocation of wood to mills or products. We evaluated the effectiveness of field AV measurement tools in predicting lodgepole pine wood stiffness (modulus of elasticity, MOE) as measured by Silviscan on wood samples. AV was measured on trees and logs from six sites in Alberta and British Columbia. We evaluated the effect on MOE estimation of calculating averages of the adjustment factor k and of green density (GD) at different spatial scales from individual tree to population. The effect of using forest inventory variables on MOE prediction were also examined. Prediction of tree-level MOE from tree-level measurements of AV, k and GD resulted in R2 values of 0.59. Using estimates of k and GD averaged at plot, site or population scales significantly diminished the R2 of the MOE predictions at tree level. Predicting MOE at plot or stand level from corresponding averages of AV, k and GD gave R2 values >0.8. Including inventory variables in tree-level MOE predictions increased the R2 to 0.62. AV measurements can give operationally useful estimates of MOE in lodgepole pine trees at the stand level.https://pubs.cif-ifc.org/doi/10.5558/tfc2021-007modulus of elasticitywood stiffnessacoustic velocitynon-destructive testingPinus contortamodule d’élasticité |
| spellingShingle | James D. Stewart Ross Koppenaal Antoine Lalumière Roger J. Whitehead Predicting wood stiffness of lodgepole pine trees using acoustic tools and green density The Forestry Chronicle modulus of elasticity wood stiffness acoustic velocity non-destructive testing Pinus contorta module d’élasticité |
| title | Predicting wood stiffness of lodgepole pine trees using acoustic tools and green density |
| title_full | Predicting wood stiffness of lodgepole pine trees using acoustic tools and green density |
| title_fullStr | Predicting wood stiffness of lodgepole pine trees using acoustic tools and green density |
| title_full_unstemmed | Predicting wood stiffness of lodgepole pine trees using acoustic tools and green density |
| title_short | Predicting wood stiffness of lodgepole pine trees using acoustic tools and green density |
| title_sort | predicting wood stiffness of lodgepole pine trees using acoustic tools and green density |
| topic | modulus of elasticity wood stiffness acoustic velocity non-destructive testing Pinus contorta module d’élasticité |
| url | https://pubs.cif-ifc.org/doi/10.5558/tfc2021-007 |
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