XiangAutyFranceschiniEtAl2014

Référence

Xiang, W., Auty, D., Franceschini, T., Leitch, M., Achim, A. (2014) Wood density-climate relationships are mediated by dominance class in black spruce (Picea mariana (Mill.) B.S.P.). Forests, 5(6):1163-1184. (Scopus )

Résumé

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. © 2014 by the authors.

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@ARTICLE { XiangAutyFranceschiniEtAl2014,
    AUTHOR = { Xiang, W. and Auty, D. and Franceschini, T. and Leitch, M. and Achim, A. },
    TITLE = { Wood density-climate relationships are mediated by dominance class in black spruce (Picea mariana (Mill.) B.S.P.) },
    JOURNAL = { Forests },
    YEAR = { 2014 },
    VOLUME = { 5 },
    PAGES = { 1163-1184 },
    NUMBER = { 6 },
    NOTE = { cited By (since 1996)0 },
    ABSTRACT = { 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. © 2014 by the authors. },
    AUTHOR_KEYWORDS = { Black spruce; Climate; Dominance class; Wood density; X-ray densitometry },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.3390/f5061163 },
    ISSN = { 19994907 },
    KEYWORDS = { Climate change; Hardwoods, Black spruce; Climate; Dominance class; Wood density; X ray densitometry, Forestry, climate effect; climate variation; harvesting; tree; wood; X-ray spectroscopy, Climates; Densitometry; Forestry; Hardwoods; Picea Mariana; Wood Density, Canada; Ontario [Canada], Picea mariana },
    SOURCE = { Scopus },
    URL = { http://www.scopus.com/inward/record.url?eid=2-s2.0-84902463921&partnerID=40&md5=7dd034b15e39d36fb4fefce660eb46aa },
}

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