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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: [email protected]
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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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References

LITERATURE CITED

BHUIYAN, N. H., SELVARAJ, G., WEI, Y. & KING, J. 2009. Gene expression profiling and silencing reveal that monolignol biosynthesis plays a critical role in penetration defence in wheat against powdery mildew invasion. Journal of Experimental Botany 60:509–521.Google Scholar
BLOSSEY, B. & HUNT-JOSHI, T. R. 2003. Belowground herbivory by insects: influence on plants and aboveground herbivores. Annual Review of Entomology 48:521–547.Google Scholar
CHAVE, J., RÉJOU-MÉCHAIN, M., BÚRQUEZ, A., CHIDUMAYO, E., COLGAN, M. S., DELITTI, W. B. C., DUQUE, A., EID, T., FEARNSIDE, P. M., GOODMAN, R. C., HENRY, M., MARTÍNEZ-YRÍZAR, A., MUGASHA, W. A., MULLER-LANDAU, H. C., MENCUCCINI, M., NELSON, B. W., NGOMANDA, A., NOGUEIRA, E. M., ORTIZ-MALAVASSI, E., PÉLISSIER, R., PLOTON, P., RYAN, C., SALDARRIAGA, J. G. & VIEILLEDENT, G. 2015. Improved allometric models to estimate the aboveground biomass of tropical trees. Global Change Biology 20:3177–3190.Google Scholar
DAVIES, T. J., BARRACLOUGH, T. G., CHASE, M. W., SOLTIS, P. S., SOLTIS, D. E. & SAVOLAINEN, V. 2004. Darwin's abominable mystery: insights from a supertree of the angiosperms. Proceedings of the National Academy of Sciences USA 101:1904–1909.Google Scholar
FALSTER, D. S. 2006. Sapling strength and safety: the importance of wood density in tropical forests. New Phytologist 171:237–239.Google Scholar
FORTUNEL, C., FINE, P. V. A. & BARALOTO, C. 2012. Leaf, stem and root tissue strategies across 758 Neotropical tree species. Functional Ecology 26:1153–1161.Google Scholar
FORTUNEL, C., RUELL, J., BEAUCHȆNE, J., FINE, P. V. A. & BARALOTO, C. 2014. Wood specific gravity and anatomy of branches and roots in 113 Amazonian rainforest tree species across environmental gradients. New Phytologist 202:79–94.Google Scholar
FRESCHET, G. T., CORNELISSEN, J. H. C., VAN LOGTESTIJN, R. S. P. & AERTS, R. 2010. Evidence of the ‘plant economics spectrum’ in a subarctic flora. Journal of Ecology 98:362–373.Google Scholar
FRESCHET, G. T., WEEDON, J. T., AERTS, R., VAN HAL, J. R. & CORNELISSEN, J. H. C. 2012. Interspecific differences in wood decay rates: insights from a new short-term method to study long-term wood decomposition. Journal of Ecology 100:161–170.CrossRefGoogle Scholar
HOEBER, S., LEUSCHNER, C., KÖHLER, L., ARIAS-AGUILAR, D. & SCHULDT, B. 2014. The importance of hydraulic conductivity and wood density to growth performance in eight tree species from a tropical semi-dry climate. Forest Ecology and Management 330:126–136.Google Scholar
IIDA, Y., POORTER, L., STERCK, F. J., KASSIM, A. R., KUBO, T., POTTS, M. D. & KOHYAMA, T. S. 2012. Wood density explains architectural differentiation across 145 co-occurring tropical tree species. Functional Ecology 26:274–282.Google Scholar
JAWA, R. & CHAI, P. P. K. 2007. A new checklist of the trees of Sarawak. Lee Miing Press, Kuching, 340 pp.Google Scholar
MILLARD, P. & GRELET, G.-A. 2010. Nitrogen storage and remobilization by trees: ecophysiological relevance in a changing world. Tree Physiology 30:1083–1095.CrossRefGoogle Scholar
NIIYAMA, K., KAJIMOTO, T., MATSUURA, Y., YAMASHITA, T., MATSUO, N., YASHIRO, Y., RIPIN, A., KASSIM, A. R. & NOOR, N. S. 2010. Estimation of root biomass based on excavation of individual root systems in a primary dipterocarp forest in Pasoh Forest Reserve, Peninsular Malaysia. Journal of Tropical Ecology 26:271–284.Google Scholar
POORTER, H., NIKLAS, K. J., REICH, P. B., OLEKSYN, J., POOT, P. & MOMMER, L. 2012. Biomass allocation to leaves, stems and roots: meta-analyses of interspecific variation and environmental control. New Phytologist 193:30–50.Google Scholar
POORTER, L., MCDONALD, I., ALARCÓN, A., FICHTLER, E., LICONA, J.-C., PEÑA-CLAROS, M., STERCK, F., VILLEGAS, Z. & SASS-KLAASSEN, U. 2010. The importance of wood traits and hydraulic conductance for the performance and life history strategies of 42 rainforest tree species. New Phytologist 185:481–492.Google Scholar
SCHULDT, B., LEUSCHNER, C., BROCK, N. & HORNA, V. 2013. Changes in wood density, wood anatomy and hydraulic properties of the xylem along the root-to-shoot flow path in tropical rainforest trees. Tree Physiology 33:161–174.Google Scholar
VAN GEFFEN, K. G., POORTER, L., SASS-KLAASSEN, U., VAN LOGTESTIJN, R. S. P. & CORNELISSEN, J. H. C. 2010. The trait contribution to wood decomposition rates of 15 Neotropical tree species. Ecology 91:3686–3697.Google Scholar
WAINHOUSE, D., CROSS, D. J. & HOWELL, R. S. 1990. The role of lignin as a defence against the spruce bark beetle Dendroctonus micans: effect on larvae and adults. Oecologia 85:257–265.Google Scholar
WEBB, C. O. & DONOGHUE, M. J. 2005. Phylomatic: tree assembly for applied phylogenetics. Molecular Ecology Notes 5:181–183.Google Scholar
WEEDON, J. T., CORNWELL, W. K., CORNELISSEN, J. H. C., ZANNE, A. E., WIRTH, C. & COOMES, D. A. 2009. Global meta-analysis of wood decomposition rates: a role for trait variation among tree species? Ecology Letters 12:45–56.Google Scholar