Pattern in ecological landscapes is often the result of different processes
operating at different scales. Neutral landscape models were introduced in
landscape ecology to differentiate patterns that are the result of simple
random processes from patterns that arise from more complex ecological proc
esses. Recent studies have used increasingly complex neutral models that in
corporate contagion and other constraints on random patterns, as well as us
ing neutral landscapes as input to spatial simulation models. Here, I consi
der a common mathematical framework based on spectral transforms that repre
sents all neutral landscape models in terms of sets of spectral basis funct
ions. Fractal and multi-fractal models are considered, as well as models wi
th multiple scaling regions and anisotropy. All of the models considered ar
e shown to be variations on a basic theme: a scaling relation between frequ
ency and amplitude of spectral components. Two example landscapes examined
showed long-range correlations (distances up to 1000 km) consistent with fr
actal scaling.