The relationship between species diversity and sampled area is fundamental
to ecology. Traditionally, theories of the species-area relationship have b
een dominated by random-placement models. Such models were used to formulat
e the canonical theory of species-area curves and species abundances. In th
is paper, however, armed with a detailed data set from a moist tropical for
est, we investigate the validity of random placement and suggest improved m
odels based upon spatial aggregation. By accounting for intraspecific, smal
l-scale aggregation, we develop a cluster model which reproduces empirical
species-area curves with high fidelity. We find that inter-specific aggrega
tion patterns, on the other hand, do not affect the species-area curves sig
nificantly. We demonstrate that the tendency for a tree species to aggregat
e, as well as its average clump size, is not significantly correlated with
the species' abundance. In addition, we investigate hierarchical clumping a
nd the extent to which aggregation is driven by topography. We conclude tha
t small-scale phenomena such as dispersal and gap recruitment determine ind
ividual tree placement more than adaptation to larger-scale topography. (C)
2000 Academic Press.