Tree height and tropical forest biomass estimation

  • Sheil D
  • Jennings S
  • Savill P
 et al. 
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Accurate estimations of carbon stocks across large tracts of tropical forests are key for participation in programs promoting avoided deforestation and carbon sequestration, such as the UN REDD+ framework. Trained local technicians can provide such data, and this, combined with satellite imagery, allows robust carbon stock estimation across vegetation classes and large areas. In the first comprehensive survey in Guyana conducted by indigenous people, ground data from 21 study sites in the Rupununi region were used to estimate above ground tree carbon density across a diversity of ecosystems and land use types. Carbon stocks varied between village sites from 1Tg to 22.7Tg, and these amounts were related to stem density and diameter. This variation was correlated with vegetation type across the region, with savannas holding on average 14MgCha-1 and forests 153MgCha-1. The results indicated that previous estimates based on remotely sensed data for this area may be inaccurate (under estimations). There were also differences in carbon densities between village sites and uninhabited control areas, which are presumably driven by community use. Recruiting local technicians for field work allowed (a) large amounts of ground data to be collected for a wide region otherwise hard to access, and (b) ensured that local people were directly involved in Guyana's Low Carbon Development Strategy as part of REDD+. This is the first such comprehensive survey of carbon stocks, carbon density and vegetation types over a large area in Guyana, one of the first countries to develop such a program. The potential inclusion of forests held by indigenous peoples in REDD+ programs is a global issue: we clearly show that indigenous people are capable of assessing and monitoring carbon on their lands.

Author-supplied keywords

  • 10
  • 1633
  • 19
  • Allometric equation
  • Allometric equations
  • Amazonia
  • Bayesian framework
  • Biodiversity
  • Biomass
  • Biomass estimation
  • Brazil
  • Carbon
  • Carbon density
  • Carbon sink
  • Carbon stock
  • Cerrado
  • China
  • Coefficient of determination
  • Fire-protection
  • Forest
  • Forest growth model
  • Goodness-of-fit
  • Guyana
  • Heritability
  • Indigenous land management
  • Information criteria
  • Intra-class correlation
  • Land cover satellite imagery
  • Linear models
  • Matrix model
  • Measurement error
  • Model error
  • Model fit
  • Modelling
  • Pacific Northwest
  • REDD
  • REDD+
  • Repeatability
  • Riparian forest
  • Sampling error
  • Savanna
  • Soil fertility
  • Source of error
  • Stationary model
  • TREE
  • Temperate forest
  • Temporal changes
  • Transient dynamics
  • Tree carbon stocks
  • Tropical forest
  • Tropical forests
  • Uncertainty propagation
  • Variance explained
  • Volume models
  • Wood density
  • Woody-layer expansion
  • accepted 14 october 2009
  • amazon deforestation
  • arc of deforestation
  • associados à ação humana
  • biomass
  • carbon emissions
  • carbon sequestering
  • centro científico conhecer -
  • cerrado deforestation
  • climate change
  • deciduous dry forest
  • definition
  • diameter classes
  • dispersal limitation
  • dynamic equilibrium
  • ecological species group
  • ecosystem modeling
  • enciclopédia biosfera
  • environmental change
  • field inventories
  • florestais
  • florestal
  • forest dynamics
  • forest growth
  • gallery forest
  • goiânia
  • hypsometric models
  • icle
  • metacommunity
  • monitoring
  • mortality
  • n
  • naslund models
  • o monitoramento da dinâmica
  • p
  • permanent plot
  • phylogenetic community structure
  • phylogenetic geographic structure
  • phylogenetic niche conservatism
  • pioneer
  • received 2 october 2008
  • recovery after disturbance
  • recruitment
  • remote sensing
  • revised 24 september 2009
  • riparian forest
  • savanna
  • secondary forest
  • seja ela direcionada por
  • tropical forest
  • turnover
  • typology
  • v
  • vetores naturais ou
  • wood calorific power
  • é um tema de

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  • Douglas Sheil

  • Stephen Jennings

  • Peter Savill

  • Douglas Sheil

  • Stephen Jennings

  • Peter Savill

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