The authors used SAR modelling and the GrassPlot database to infer the appropriateness of different SAR functions (power, power quadratic, power breakpoint, logarithmic, Michaelis–Menten) and we tested whether the ranking of functions differed among taxonomic groups, methodological settings, biomes or vegetation types. The authors concluded that “SARs of sessile organisms at smaller spatial grains are best approximated by a power function.”
The publication can be found here.