The established approach to model seston size distributions involves t
he grouping of particles within logarithmic size classes and the exami
nation of the relationship between density, or normalized biomass, and
the characteristic sizes of the classes. Here we examine the distribu
tional basis of the established approach and draw a connection between
the biomass size spectrum and the Pareto distribution, a model widely
used in other disciplines dealing with size-structured systems. We pr
ovide efficient estimators of the parameters and also suggest that dat
asets exhibiting significant departures from a smooth power function d
ecline can be adequately modeled using a Pareto type II distribution.