We present a cellular automaton approach involving two variables and invest
igate its behavior with respect to self-organized criticality (SOC). It can
be seen as a generalization of the Bak-Tang-Wiesenfeld and OlamiFeder-Chri
stensen models and exhibits SOC behavior, too. In contrast to these models
it leads to a power law distribution of the cluster sizes with an exponent
close to one, as it occurs in earthquakes and landsliding processes, withou
t any tuning.