The species-area relationship may be the strongest empirical generalization
in community ecology. We explore the effect of trophic rank upon the "stre
ngth" of the species-area relationship, as measured by z, the slope of a lo
g(species) vs. lo,a(area) plot. We present a simple model for communities c
losed to immigration, composed of "stacked specialist" food chains (where e
ach plant species supports a specialist herbivore, which in turn sustains a
specialist carnivore, etc.), that predicts z should increase with trophic
rank; the model brings out some of the spatial implications of sequential d
ependencies among species. We discuss empirical examples in which the z val
ues of taxa differing in trophic rank were reported and lament the shortage
of well-documented examples in the ecological literature. Several examples
fit the expected pattern, but others do not. We outline several additional
reasons why z values might increase with trophic rank, even for generalist
s. If the qualitative assumptions of the model are relaxed, the predicted e
ffect of trophic rank on z should weaken or even be reversed. Trophic rank
may not have a systematic effect on the species-area relationship if (1) th
ere are strong top-down interactions leading to prey extinctions; (2) commu
nities are open, with recurrent immigration, particularly at higher trophic
ranks; (3) consumers are facultative generalists, able to exist on a wide
range of resource species; or (4) systems are far from equilibrium. Our aim
in this thought piece is to stimulate community ecologists to link theoret
ical and empirical studies of food web structure with analyses of spatial d
ynamics and landscape ecology, and to encourage empirical studies of the sp
ecies-area relationship focused on comparisons across taxa varying in troph
ic rank.