Analysis of species abundance patterns in assemblages with relatively
large number of species has been an important issue in community ecolo
gy for several decades. Following Preston's pioneering work, Sugihara
proposed a model to account for such patterns in a diverse range of co
mmunities, which has been given further support from analyses of recen
t data that are considered to be of particularly high quality. This pa
per re-examines Sugihara's approach and points out that there has been
confusion and misunderstanding among workers as to the exact nature o
f his widely-publicised hypothesis. In particular, the 'fixed ratio' d
ivision cannot be considered as an expected (average) pattern of the t
riangular assumption; they represent fundamentally different entities.
Further, Tokeshi's Random fraction model should not be treated as syn
onymous with Sugihara's fixed division model. The RF model has its own
identity as a niche apportionment model and can account for patterns
in some species-rich assemblages. With this background, this paper pro
poses a new niche apportionment model to explain relative abundance pa
tterns in ecological communities, termed the Power fraction model. The
PF model envisages that the probability (p) of selection for a subseq
uent division is positively but weakly related to niche sizes/abundanc
es (x) of species as a power function (p alpha x(k) where 0 less than
or equal to k less than or equal to 1.0; i,e. niche division/invasion
is more likely in species with high abundance/large niche) and that di
vision occurs with any ratio (i.e. a barrier to split a species' popul
ation may occur anywhere in the species' range), with the RF model rep
resenting an extreme case on the spectrum of the PF model. The Power f
raction model with k similar to 0.05 or k similar to 0-0.2 demonstrate
s a good fit to a miscellany of data from species-rich assemblages. Th
e PF model is not restrictive in terms of division ratios, and can be
framed as either a community-specific or a global explanation of patte
rns. Thus, the new model is more flexible and realistic from ecologica
l and evolutionary points of view and offers a possibility of cross-co
mmunity comparisons within a uniform, integrative framework.