A new method is described fur calculating the amount of biomass burned
, its type and location, and the time of burning. Active fires in 1989
were detected using daily advanced very high resolution radiometer (A
VHRR) satellite imagery. The fire count was calibrated to area burned
using a stratified sample of multitemporal multispectral scanner (MSS)
imagery. The calibration factor is strongly dependent on mean individ
ual fire area, which is in turn strongly related to cumulative normali
zed difference vegetation index (NDVI). The best available vegetation
maps for southern hemisphere Africa were combined and reclassified int
o functional vegetation types with a similar fire ecology. The fuel lo
ad was calculated in each 0.5 degrees x 0.5 degrees grid square using
a production model specific for each vegetation type, driven by monthl
y rainfall data. Multiyear fuel accumulation, herbivory, and decay wer
e accounted for. Combustion completeness was modeled as a function of
fuel mass and fuel type, established from field-collected data. The me
thod was compared to the conventional procedure for calculating biomas
s burned, based on classification. The estimated amount of biomass bur
ned in vegetation fires in southern hemisphere Africa annually is 90-2
64 Tg dry matter (DM) by the new modeling method and 247-2719 Tg DM by
the conventional classification method. The modeling method is conser
vative since it does not include burning due to forest clearing or the
burning of agricultural waste or domestic biomass fuels, but it is be
lieved to be more realistic than the classification method and provide
s space-and-time-resolved output. The bulk of the burning occurs betwe
en June and September, with a peak in August. Half of the burning take
s place in the broad-leaved, low-nutrient-status savannas which domina
te the zone between 5 degrees and 18 degrees S.