Biomass of both wild herbivores and livestock in rangelands is correla
ted with rainfall at a regional scale. Thus, rainfall may be a good pr
edictor of actual stocking rates. However, rainfall data are scarce in
many regions, and their spatial resolution is usually much coarser th
an needed to set or to evaluate wildlife or livestock stocking rates.
We here show a relationship between livestock biomass and an annual ve
getation index (normalized-difference vegetation index-integrated valu
e, NDVI-I) calculated from remotely sensed data on spectral properties
of rangelands of Argentina. The relationship is as strong or even str
onger than previously reported correlations between herbivore biomass
and rainfall. This, together with the greater availability and higher
spatial resolution of satellite data, makes remote sensing a potential
ly valuable tool to predict stocking rates for regions, landscapes, an
d different portions of a landscape. The form of the relationship betw
een stocking rate and average NDVI-I was exponential, which, as previo
usly shown, indicates an increasing herbivore load per unit of primary
production as rainfall or productivity increases. This may be at leas
t partially explained by the fact that the NDVI interannual variation
and seasonality were negatively related with average NDVI-I. Thus, sto
cking rate may increase exponentially because of an increasing year-to
-year reliability of the forage resource and a more even distribution
within the year.