Oecologia

, Volume 145, Issue 1, pp 87–99 | Cite as

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

  • J. Chave
  • C. Andalo
  • S. Brown
  • M. A. Cairns
  • J. Q. Chambers
  • D. Eamus
  • H. Fölster
  • F. Fromard
  • N. Higuchi
  • T. Kira
  • J.-P. Lescure
  • B. W. Nelson
  • H. Ogawa
  • H. Puig
  • B. Riéra
  • T. Yamakura
Ecosystem ecology

Abstract

Tropical forests hold large stores of carbon, yet uncertainty remains regarding their quantitative contribution to the global carbon cycle. One approach to quantifying carbon biomass stores consists in inferring changes from long-term forest inventory plots. Regression models are used to convert inventory data into 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 ≥ 5 cm diameter, directly harvested in 27 study sites across the tropics. Proportional relationships between aboveground biomass and the product of wood density, trunk cross-sectional area, and total height are constructed. We also develop a regression model involving wood density and stem diameter only. Our models were tested for secondary and old-growth forests, for dry, moist and wet forests, for lowland and montane forests, and for mangrove forests. The most important predictors of AGB of a tree were, in decreasing order of importance, its trunk 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 improve 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.

Keywords

Biomass Carbon Plant allometry Tropical forest 

Supplementary material

442_2005_100_MOESM1_ESM.pdf (34 kb)
Supplementary material

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Copyright information

© Springer-Verlag 2005

Authors and Affiliations

  • J. Chave
    • 1
  • C. Andalo
    • 1
  • S. Brown
    • 2
  • M. A. Cairns
    • 3
  • J. Q. Chambers
    • 4
  • D. Eamus
    • 5
  • H. Fölster
    • 6
  • F. Fromard
    • 7
  • N. Higuchi
    • 8
  • T. Kira
    • 9
  • J.-P. Lescure
    • 10
  • B. W. Nelson
    • 8
  • H. Ogawa
    • 11
  • H. Puig
    • 7
  • B. Riéra
    • 12
  • T. Yamakura
    • 11
  1. 1.Laboratoire Evolution et Diversité Biologique UMR 5174, CNRS/UPS, bâtiment IVR3Université Paul SabatierToulouseFrance
  2. 2.Ecosystem Services UnitWinrock InternationalArlingtonUSA
  3. 3.National Health and Environmental Effects Research Laboratory, Western Ecology DivisionUS Environmental Protection AgencyCorvallisUSA
  4. 4.Department of Ecology and Evolutionary BiologyTulane UniversityNew OrleansUSA
  5. 5.Institute for Water and Environmental Resource ManagementUniversity of TechnologySydneyAustralia
  6. 6.Institut für Bodenkunde und WaldernährungUniversität GöttingenGottingen Germany
  7. 7.Laboratoire Dynamique de la Biodiversité, CNRS/UPSToulouseFrance
  8. 8.Instituto Nacional de Pequisas da Amazônia Brazil
  9. 9.ILEC Foundation, Oroshimo-choKusatsu City, Shiga Japan
  10. 10.IRDOrleansFrance
  11. 11.Plant Ecology Laboratory, Graduate School of ScienceOsaka City UniversitySumiyoshikuJapan
  12. 12.Laboratoire d’Ecologie GénéraleURA 1183 CNRS/MNHNBrunoyFrance

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