Tree allometry and improved estimation of carbon stocks and balance in tropical forests

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dc.contributor.author Chave, Jerome en_US
dc.contributor.author Andalo, Christophe en_US
dc.contributor.author Brown, Sandra en_US
dc.contributor.author Cairns, Michael en_US
dc.contributor.author Chambers, Jeffrey en_US
dc.contributor.author Eamus, Derek en_US
dc.contributor.author Folster, Horst en_US
dc.contributor.author Fromard, Francois en_US
dc.contributor.author Puig, Henri en_US
dc.contributor.author Higuchi, Niro en_US
dc.contributor.author Nelson, Bruce en_US
dc.contributor.author Kira, Tatsuo en_US
dc.contributor.author Lescure, John-Paul en_US
dc.contributor.author Ogawa, Husato en_US
dc.contributor.author Yamakura, Takuo en_US
dc.contributor.author Riera, Bernard en_US
dc.date.accessioned 2009-12-21T02:29:28Z
dc.date.available 2009-12-21T02:29:28Z
dc.date.issued 2005 en_US
dc.identifier 2005001923 en_US
dc.identifier.citation Chave Jerome et al. 2005, 'Tree allometry and improved estimation of carbon stocks and balance in tropical forests', Spinger, vol. 145, pp. 87-99. en_US
dc.identifier.issn 0029-8549 en_US
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/3628
dc.description.abstract Tropical forests hold large stored of carbonyet uncertainty remains regarding their quantitative contribution to the global carbon cycle. One approach to quantifying carbon biomass stores consists in inferrinng changes from long-term forsts inventory data ito an estimate of aboveground biomass (AGB). We provide a critical reassessment of the quality and the robustness of these models across tropical forest types, using a large dataset of 2,410 trees- 5cm diameter, directly harvested in 27 study sites across the tropics. Proportional relationships between aboveground biomass and the product of wood density, trunk corss-sectional area, and total height are constructed. We also develop aregression model involving wood density and stem diameter only. Our models were tested for secondary and old-growth forets, for dry, moist and wet forests, for lowland and motane forests, and for mangrove forets, Themost important repdicators of AGB of a tree were, in decreasing order of importance, its truck diameter wood specific gravity, total height, and forest type (dry, moist, or wet). Overestimates prevailed, giving a bias of 0.5-6.5% when errors were averaged across all stands. Our regression models can be used reliably to predict aboveground tree biomass across a broad range of tropical forests. Because they are based on an unprecedented dataset, these models should imporve the quality of tropical biomass estimates, and bring consensus about the contribution of the tropical forest biome and tropical deforestation to the global carbon cycle. en_US
dc.publisher Spinger en_US
dc.relation.isbasedon http://dx.doi.org/10.1007/s00442-005-0100-x en_US
dc.title Tree allometry and improved estimation of carbon stocks and balance in tropical forests en_US
dc.parent Oecologia en_US
dc.journal.volume 145 en_US
dc.journal.number 1 en_US
dc.publocation New York, USA en_US
dc.identifier.startpage 87 en_US
dc.identifier.endpage 99 en_US
dc.cauo.name SCI.Faculty of Science en_US
dc.conference Verified OK en_US
dc.for 060700 en_US
dc.personcode 0000025653 en_US
dc.personcode 0000025654 en_US
dc.personcode 0000025655 en_US
dc.personcode 0000025656 en_US
dc.personcode 0000025657 en_US
dc.personcode 000006 en_US
dc.personcode 0000025658 en_US
dc.personcode 0000025660 en_US
dc.personcode 0000025661 en_US
dc.personcode 0000025662 en_US
dc.personcode 0000025663 en_US
dc.personcode 0000025664 en_US
dc.personcode 0000025665 en_US
dc.personcode 0000025666 en_US
dc.personcode 0000025667 en_US
dc.personcode 0000025668 en_US
dc.percentage 100 en_US
dc.classification.name Plant Biology en_US
dc.classification.type FOR-08 en_US
dc.description.keywords biomass, carbon, plant allometry, tropical forest en_US


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