Nestedness is a pattern whereby species-poor assemblages are composed
of subsets of the species occurring in richer assemblages. One of the
most commonly used measures of the degree of nestedness for
presence-absence matrices is the 'discrepancy' metric. A hitherto
neglected property of that metric is that it may take several values
for a given site-by-species matrix in the presence of ties in the
marginal totals. This complicates the quantification of nestedness for
the observed presence-absence matrix, as well as the assessment of
statistical significance, which is typically achieved through Monte
Carlo simulations. A solution to the problem is to calculate the
minimum discrepancy using a modified algorithm involving permutations
of columns with tied totals.
2009. Vol. 10, no 2, p. 141-145