In this paper, we consider local and non-local spatially explicit mathemati
cal models for biological phenomena. We show that, when rate differences be
tween fast and slow local dynamics are great enough, non-local models are a
dequate simplifications of local models. Non-local models thus avoid descri
bing fast processes in mechanistic detail, instead describing the effects o
f fast processes on slower ones. As a consequence, non-local models are hel
pful to biologists because they describe biological systems on scales that
are convenient to observation, data collection, and insight. We illustrate
these arguments by comparing local and non-local models for the aggregation
of hypothetical organisms, and we support theoretical ideas with concrete
examples from cell biology and animal behavior. (C) 2001 Academic Press.