A summary of the landscape genetics based ranking of the 48 landscape representations, with the parameterisation of the associated accumulated-cost dispersal kernel.

aEach landscape representation measured connectivity as a function of distance (D) and the traversal costs resulting from the inter-feature weights of elevation (E), plan curvature (P), tree and scrub cover (T), river order (R), highway traffic volume (H), and bridge length (B).
bLandscape representations were ranked by their Akaike weight (wi). Only the top ranked cost-surface landscape representations (Σwi≤0.95) plus the uniform landscape representation are listed.
r2  =  coefficient of determination (in all cases p≤0.03), μlog  =  the mean of the logarithm of the lognormal dispersal kernel, σlog  =  the standard deviation of the logarithm of the lognormal dispersal kernel, maxDC  =  maximum observed dispersal connectivity value.