The analysis of records of species occurrences on islands in an attemp
t to detect interactions between species has been an area of controver
sy in recent years in terms of the validity of some of the statistical
methods used. In this note I make two contributions to the continuing
debate. First, I advocate a generalized Monte Carlo testing procedure
because this is easy to implement, is computationally efficient, and
has guaranteed properties when the null hypothesis of no species inter
actions is correct. Second, I propose a test statistic that can be dec
omposed into a component for each individual species, and I demonstrat
e how this makes it possible to isolate species with unusual patterns
of co-occurrence with other species, even after an allowance for multi
ple testing is made.