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Relationships of wood density and wood chemical traits between stems and coarse roots across 53 Bornean tropical tree species

Published online by Cambridge University Press:  18 January 2016

Michiko Nakagawa ,
Megumi Hori ,
Mitsutoshi Umemura  and
Takuya Ishida
Michiko Nakagawa*
Affiliation:
Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya 464–8601, Japan
Megumi Hori
Affiliation:
Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya 464–8601, Japan
Mitsutoshi Umemura
Affiliation:
Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya 464–8601, Japan
Takuya Ishida
Affiliation:
Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya 464–8601, Japan
*
1Corresponding author. Email: miko@agr.nagoya-u.ac.jp
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Abstract:

Wood density and wood chemical traits are strong predictors of tree performance, carbon stock, and wood decomposition, which play important roles in ecosystem processes and carbon and nutrient cycling in forests. However, it remains unknown how root wood traits are related to stem wood traits. We examined the relationships of wood density and wood chemical traits (lignin and nitrogen concentrations, carbon-to-nitrogen ratio) between the stems and coarse roots of 90 individuals representing 53 tropical tree species in Malaysian Borneo. We developed regression equations of each wood trait using the standardized major axis method. Each root wood trait was highly correlated with the corresponding stem wood trait, and most regression equations fitted well (R2 > 0.5). The lignin concentration of roots was significantly greater than that of stems. We conclude that root wood traits can be estimated from the corresponding stem wood traits in South-East Asian tropical trees. Further analysis of coarse root decomposability will provide more accurate estimates of carbon and nutrient fluxes in tropical forest ecosystems.

Keywords

carbon stockC/Ndecompositionfunctional traitlignin
Type
Short Communication
Information
Journal of Tropical Ecology , Volume 32 , Issue 2 , March 2016 , pp. 175 - 178
Copyright
Copyright © Cambridge University Press 2016 

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