The stochastic logistic model is the simplest model that combines individua
l-level demography with density dependence. It explicitly or implicitly und
erlies many models of biodiversity of competing species, as well as non-spa
tial or metapopulation models of persistence of individual species. The mod
el has also been used to study persistence in simple disease models. The st
ochastic logistic model has direct relevance for questions of limiting simi
larity in ecological systems. This paper uses a biased random walk heuristi
c to derive a scaling relationship for the persistence of a population unde
r this model, and discusses its implications for models of biodiversity and
persistence. Time to extinction of a species under the stochastic logistic
model is approximated by the exponential of the scaling quantity U=(R-1)(2
) N/R(R+1), where N is the habitat size and R is the basic reproductive num
ber. (C) 2000 Academic Press.