Wood Density-Climate Relationships Are Mediated by Dominance Class in Black Spruce (Picea mariana (Mill.) B.S.P.)

The relationships between climate and wood density components, i.e., minimum ring density, maximum ring density and mean ring density have been studied mainly in dominant trees. However, the applicability of the findings to trees of other dominance classes is unclear. The aim of this study was to ad...

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Main Authors: Wei Xiang, David Auty, Tony Franceschini, Mathew Leitch, Alexis Achim
Format: Article
Language:English
Published: MDPI AG 2014-05-01
Series:Forests
Subjects:
Online Access:http://www.mdpi.com/1999-4907/5/6/1163
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spelling doaj-ec2f9eca55904754bb2dd23536c1c7592020-11-24T23:10:05ZengMDPI AGForests1999-49072014-05-01561163118410.3390/f5061163f5061163Wood Density-Climate Relationships Are Mediated by Dominance Class in Black Spruce (Picea mariana (Mill.) B.S.P.)Wei Xiang0David Auty1Tony Franceschini2Mathew Leitch3Alexis Achim4Faculty of Natural Resources Management, Lakehead University, Thunder Bay, ON P7B 5E1, CanadaRenewable Materials Research Centre, Université Laval, Sainte-Foy, QC G1V 0A6, CanadaChaire de recherche sur la forêt habitée, Département de Biologie, Chimie et Géographie, Université du Québec à Rimouski, 300 allée des Ursulines, Rimouski, QC G5L 3A1, CanadaFaculty of Natural Resources Management, Lakehead University, Thunder Bay, ON P7B 5E1, CanadaRenewable Materials Research Centre, Université Laval, Sainte-Foy, QC G1V 0A6, CanadaThe relationships between climate and wood density components, i.e., minimum ring density, maximum ring density and mean ring density have been studied mainly in dominant trees. However, the applicability of the findings to trees of other dominance classes is unclear. The aim of this study was to address whether climate differentially influences wood density components among dominance classes. X-ray densitometry data was obtained from 72 black spruce (Picea mariana (Mill.) B.S.P.) trees harvested in Northwestern Ontario, Canada. Dominant, co-dominant and intermediate trees were sampled and the data analysed using mixed-effect modelling techniques. For each density component, models were first fitted to the pooled data using ring width and cambial age as predictors, before monthly climatic variables were integrated into the models. Then, separate models were fitted to the data from each dominance class. In general, the addition of climatic factors led to a small but significant improvement in model performance. The predicted historical trends were well synchronized with the observed data. Our results indicate that trees from all dominance classes in a stand should be sampled in order to fully characterize wood density-climate relationships.http://www.mdpi.com/1999-4907/5/6/1163wood densityclimateblack sprucedominance classX-ray densitometry
collection DOAJ
language English
format Article
sources DOAJ
author Wei Xiang
David Auty
Tony Franceschini
Mathew Leitch
Alexis Achim
spellingShingle Wei Xiang
David Auty
Tony Franceschini
Mathew Leitch
Alexis Achim
Wood Density-Climate Relationships Are Mediated by Dominance Class in Black Spruce (Picea mariana (Mill.) B.S.P.)
Forests
wood density
climate
black spruce
dominance class
X-ray densitometry
author_facet Wei Xiang
David Auty
Tony Franceschini
Mathew Leitch
Alexis Achim
author_sort Wei Xiang
title Wood Density-Climate Relationships Are Mediated by Dominance Class in Black Spruce (Picea mariana (Mill.) B.S.P.)
title_short Wood Density-Climate Relationships Are Mediated by Dominance Class in Black Spruce (Picea mariana (Mill.) B.S.P.)
title_full Wood Density-Climate Relationships Are Mediated by Dominance Class in Black Spruce (Picea mariana (Mill.) B.S.P.)
title_fullStr Wood Density-Climate Relationships Are Mediated by Dominance Class in Black Spruce (Picea mariana (Mill.) B.S.P.)
title_full_unstemmed Wood Density-Climate Relationships Are Mediated by Dominance Class in Black Spruce (Picea mariana (Mill.) B.S.P.)
title_sort wood density-climate relationships are mediated by dominance class in black spruce (picea mariana (mill.) b.s.p.)
publisher MDPI AG
series Forests
issn 1999-4907
publishDate 2014-05-01
description The relationships between climate and wood density components, i.e., minimum ring density, maximum ring density and mean ring density have been studied mainly in dominant trees. However, the applicability of the findings to trees of other dominance classes is unclear. The aim of this study was to address whether climate differentially influences wood density components among dominance classes. X-ray densitometry data was obtained from 72 black spruce (Picea mariana (Mill.) B.S.P.) trees harvested in Northwestern Ontario, Canada. Dominant, co-dominant and intermediate trees were sampled and the data analysed using mixed-effect modelling techniques. For each density component, models were first fitted to the pooled data using ring width and cambial age as predictors, before monthly climatic variables were integrated into the models. Then, separate models were fitted to the data from each dominance class. In general, the addition of climatic factors led to a small but significant improvement in model performance. The predicted historical trends were well synchronized with the observed data. Our results indicate that trees from all dominance classes in a stand should be sampled in order to fully characterize wood density-climate relationships.
topic wood density
climate
black spruce
dominance class
X-ray densitometry
url http://www.mdpi.com/1999-4907/5/6/1163
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