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| Titel |
Non-destructive, in-field determination of wood density in tropical forests |
| VerfasserIn |
Mireia Torello-Raventos, Tony Page, Andrew Ford, Dan Metcalfe, Jon Lloyd, Michael Bird |
| Konferenz |
EGU General Assembly 2014
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250095114
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| Publikation (Nr.) |
 EGU/EGU2014-10556.pdf |
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| Zusammenfassung |
| Tropical forests are a significant store of terrestrial carbon1,2,3, and quantification
of the above-ground carbon stocks provides a way to improve understanding of
vegetation dynamics in the face of climate change. The determination of carbon
stocks in tropical forests usually relies on a combination of remote sensing data and
allometric models that predict tree biomass4, with extensive requirements for the
collection of field data. Tropical forests usually contain a high diversity of tree
species, with a wide range of wood densities and the wood density of tropical trees
may vary considerably across their diameter5,6. In addition, field core extraction
and laboratory processing for wood density determination are time consuming and
costly.
In this study, wood density has been indirectly determined by a novel ultrasonic,
field-based method across different tropical forests types and climates through Australia,
Vanuatu and Papua New Guinea and compared against laboratory wood density
determinations on the same samples. The data set comprises 1500 measurements on living
trees to study the intraspecific and interspecific variation of wood density across
tree species ranging from soft to hardwoods and also along the stem of standing
trees.
Regression analysis suggests a positive relationship between ultrasonic velocity
and intraspecific and interspecific variation of wood density indicating a potential
use for this technique for carbon inventory development in tropical forests The
technique may be particularly valuable for directly measuring the wood density of
large trees, which can contain one third of the total proportion of above ground
carbon biomass in tropical forests7 and are particularly onerous to core to the pith to
measure average wood density across the whole stem by traditional techniques. This
study will in the development of predictive relationships between wood density and
environmental variables to infer carbon stocks at local and global scale through
the validation of an accurate field-based, non-destructive measurement of wood
density.
1Phillips, O. L., et al., 2008. The changing Amazon forest. Philosophical Transactions of
the Royal Society of Biological Sciences, 363, 1819-1827. 2Phillips, O. L., et al., 1998.
Changes in the carbon balance of tropical forests: evidence from long term plot
data. Science 282, 439–442.3Malhi,Y. and Grace, J., 2000. Tropical forests and
atmospheric carbon dioxide. Trends Ecology Evolution, 15, 332–337.4Gibbs, H.
K., et al, 2007. Monitoring and estimating tropical forest carbon stocks: making
REDD a reality. Environmental Research Letters, 2, 1-13.5Nogueira, E. M., et al.,
2005. Wood density in dense forest in central Amazonia, Brazil. Forest Ecology and
Management, 208, 261-268.6Nogueira, E. M., et al., 2008. Normalization of wood density
in biomass estimates of Amazon forests. Forest Ecology and Management, 256,
990-996.7Chave, J.,et al., 2003. Spatial and temporal variation of biomass in a tropical
forest: Results from a large census plot in Panama. Journal of Ecology, 91, 240-252. |
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