A meaningful interpretation of landscape metrics is possible only when the
limitations of each measure are fully understood, the range of attainable v
alues is known, and the user is aware of potential shifts in the range of v
alues due to characteristics of landscape patches. To examine the behavior
of landscape metrics, we generated artificial landscapes that mimicked frag
mentation processes while controlling the size and shape of patches in the
landscape and the mode of disturbance growth. We developed nine series of i
ncreasingly fragmented landscapes and used these to investigate the behavio
r of edge density, contagion, mean nearest neighbor distance, mean proximit
y index, perimeter-area fractal dimension, and mass fractal dimension. We f
ound that most of the measures were highly correlated, especially contagion
and edge density, which had a near-perfect inverse correspondence. Many of
the measures were linearly-associated with increasing disturbance until th
e proportion of disturbance on the landscape was approximately 0.40, with n
on-linear associations at higher proportions. None of the measures was able
to differentiate between landscape patterns characterized by dispersed ver
sus aggregated patches. The highest attainable value of each measure was al
tered by either patch size or shape, and in some cases, by both attributes.
We summarize our findings by discussing the utility of each metric.