New burned area datasets and top-down constraints from atmospheric concentration measurements of pyrogenic gases have decreased the large uncertainty in fire emissions estimates. However, significant gaps remain in our understanding of the contribution of deforestation, savanna, forest, agricultural waste, and peat fires to total global fire emissions. Here we used a revised version of the Carnegie-Ames-Stanford-Approach (CASA) biogeochemical model and improved satellite-derived estimates of area burned, fire activity, and plant productivity to calculate fire emissions for the 1997-2009 period on a 0.5° spatial resolution with a monthly time step. For November 2000 onwards, estimates were based on burned area, active fire detections, and pl...
Climate, land use, and other anthropogenic and natural drivers have the potential to influence fire ...
Climate, land use, and other anthropogenic and natural drivers have the potential to influence fire ...
The new Global Wildland Fire Emission Model (GWEM) has been developed on the basis of data from the ...
New burned area datasets and top-down constraints from atmospheric concentration measurements of pyr...
New burned area datasets and top-down constraints from atmospheric concentration measurements of pyr...
New burned area datasets and top-down constraints from atmospheric concentration measurements of pyr...
Biomass burning represents an important source of atmospheric aerosols and greenhouse gases, yet lit...
In several biomes, including croplands, wooded savannas, and tropical forests, many small fires occu...
In several biomes, including croplands, wooded savannas, and tropical forests, many small fires occu...
In several biomes, including croplands, wooded savannas, and tropical forests, many small fires occu...
Biomass burning represents an important source of atmospheric aerosols and greenhouse gases, yet lit...
Climate, land use, and other anthropogenic and natural drivers have the potential to influence fire ...
Long term, high quality estimates of burned area are needed for improving both prognostic and diagno...
Long term, high quality estimates of burned area are needed for improving both prognostic and diagno...
Climate, land use, and other anthropogenic and natural drivers have the potential to influence fire ...
Climate, land use, and other anthropogenic and natural drivers have the potential to influence fire ...
Climate, land use, and other anthropogenic and natural drivers have the potential to influence fire ...
The new Global Wildland Fire Emission Model (GWEM) has been developed on the basis of data from the ...
New burned area datasets and top-down constraints from atmospheric concentration measurements of pyr...
New burned area datasets and top-down constraints from atmospheric concentration measurements of pyr...
New burned area datasets and top-down constraints from atmospheric concentration measurements of pyr...
Biomass burning represents an important source of atmospheric aerosols and greenhouse gases, yet lit...
In several biomes, including croplands, wooded savannas, and tropical forests, many small fires occu...
In several biomes, including croplands, wooded savannas, and tropical forests, many small fires occu...
In several biomes, including croplands, wooded savannas, and tropical forests, many small fires occu...
Biomass burning represents an important source of atmospheric aerosols and greenhouse gases, yet lit...
Climate, land use, and other anthropogenic and natural drivers have the potential to influence fire ...
Long term, high quality estimates of burned area are needed for improving both prognostic and diagno...
Long term, high quality estimates of burned area are needed for improving both prognostic and diagno...
Climate, land use, and other anthropogenic and natural drivers have the potential to influence fire ...
Climate, land use, and other anthropogenic and natural drivers have the potential to influence fire ...
Climate, land use, and other anthropogenic and natural drivers have the potential to influence fire ...
The new Global Wildland Fire Emission Model (GWEM) has been developed on the basis of data from the ...