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Forest biomass dataset
Alterra, Wageningen UR and European Forest Institute
Geerten Hengeveld, Katja Gunia, Markus Didion, Sergey Zudin, Sandra
Clerkx, Mart-Jan Schelhaas
Validation data for the CARBONES CCDAS
system
 Forest pools and uncertainties (annual)
● Forest area (km2)
● Timber volume (m3)
● Aboveground biomass (kg)
● Carbon in aboveground biomass (kg)
● Belowground biomass (kg)
● Carbon in belowground biomass (kg)
● Total biomass (kg)
● Carbon in total biomass (kg)
● Changes in pools per 5 years
Data
 FAO-FRA (Global Forest Resources Assessments)
 MCPFE (Europe)
 UNECE
● Per Country
● 1948-2011 (minimal 5 year interval)
● Forest Area
● Growing Stock
 IPCC 2006 good practice guidance for biomass
conversion and expansion factors to estimate aboveground and below-ground biomass and carbon
Processing
 Quality check: remove outliers
 Interpolate in between data points
 Extend values outside data range (flat)
 Gridding, relative to current forest cover map
 Assign uncertainties
Calculations
Country
Forest
area
Growing
Stock
Stock per
Area
IPCC
constants
1 degree grid
Forest
map
Growing
Growing
Stock
Growing
Stock
Stock
Growing
Growing
Aboveground
Stock
Stock
biomass/
carbon
Uncertainty assessment
 Base uncertainty
● 3 classes (1,2,3 points)
● Trend over all records
● Coefficient of variation of detrended records
 Methodology uncertainty
● 0.025 point per year (pre 1990)
 Interpolation uncertainty
● 0.1 point per year
Technical specifications
 1 degree grid
 Global cover
 Mollweide projection, Datum WGS84
 NetCDF file
Data policy
 Free to use
 Proper referencing (Hengeveld et al., in prep)
 Downloadable at
● the CARBONES portal
● or http://opendap.cgi-
systems.nl/thredds/catalog/projecten/EuropeanFore
st/carbones/catalog.html
Exemple: above ground forest biomass
(5 years mean) around 2005
Reference:
Hengeveld, G.M.H., K.
Gunia, M. Didion, S.
Zudin, A.P.P.M.
Clerkx, M.J.
Schelhaas. Gridded
maps as derived from
a compilation of
global forest biomass
estimates 1950-2010.
To be submitted to
Earth System Science
Data.