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 above-ground 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

Stock per Area

1 degree grid

Growing Stock Growing

Stock Growing Stock

IPCC constants

Forest area

Growing Stock

Forest map

Country

Growing Stock Growing

Stock Aboveground

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/EuropeanForest/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.