Community variability has a dual nature. On the one hand, there is composit
ional variability, changes in the relative abundance of component species.
On the other hand, there is aggregate variability, changes in summary prope
rties such as total abundance, biomass, or production. Although these two a
spects of variability have received much individual attention, few studies
have explicitly? related the compositional and aggregate variability of nat
ural communities. In this paper, we show how simultaneous consideration of
both aspects of community variability might advance our understanding of ec
ological communities.
We use the distinction between compositional and aggregate variability to d
evelop an organizational framework for describing patterns of community var
iability. At their extremes, compositional and aggregate variability combin
e in four different ways: (I) stasis, low compositional and low aggregate v
ariability; (2) synchrony, low compositional and high aggregate variability
; (3) asynchrony, high compositional and high aggregate variability; and (4
) compensation, high compositional and low aggregate variability. Each of t
hese patterns has been observed in natural communities, and can be linked t
o a suite of abiotic and biotic mechanisms. We give examples of the potenti
al relevance of variability patterns to applied ecology, and describe the m
ethodological developments needed to make meaningful comparisons of aggrega
te and compositional variability across communities. Finally, we provide tw
o numerical examples of how our approach can be applied to natural communit
ies.