article id 244,
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                            Currently, information on forest biomass is available from a mixture of  sources, including in-situ measurements, national forest inventories,  administrative-level statistics, model outputs and regional satellite  products. These data tend to be regional or national, based on different  methodologies and not easily accessible. One of the few maps available  is the Global Forest Resources Assessment (FRA) produced by the Food and  Agriculture Organization of the United Nations (FAO 2005) which  contains aggregated country-level information about the growing stock,  biomass and carbon stock in forests for 229 countries and territories.  This paper presents a technique to downscale the aggregated results of  the FRA2005 from the country level to a half degree global spatial  dataset containing forest growing stock; above/below-ground biomass,  dead wood and total forest biomass; and above-ground, below-ground, dead  wood, litter and soil carbon. In all cases, the number of countries  providing data is incomplete. For those countries with missing data,  values were estimated using regression equations based on a downscaling  model. The downscaling method is derived using a relationship between  net primary productivity (NPP) and biomass and the relationship between  human impact and biomass assuming a decrease in biomass with an  increased level of human activity. The results, presented here,  represent one of the first attempts to produce a consistent global  spatial database at half degree resolution containing forest growing  stock, biomass and carbon stock values. All results from the methodology  described in this paper are available online at  www.iiasa.ac.at/Research/FOR/.
                        
                
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                            Kindermann,
                            International Institute for Applied Systems Analysis, Laxenburg, Austria
                                                        E-mail:
                                                            kinder@iiasa.ac.at
                                                                                          
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                            McCallum,
                            International Institute for Applied Systems Analysis, Laxenburg, Austria
                                                        E-mail:
                                                            im@nn.at
                                                                                
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                            Fritz,
                            International Institute for Applied Systems Analysis, Laxenburg, Austria
                                                        E-mail:
                                                            sf@nn.at
                                                                                
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                            Obersteiner,
                            International Institute for Applied Systems Analysis, Laxenburg, Austria
                                                        E-mail:
                                                            mo@nn.at