A comprehensive understanding of marine connectivity in any one system requires knowledge across a range of disciplines and scales. Substantial individual contributions have come though both genetic tools and larval dispersal models, with the greatest advances derived through a combination of these. The methods of comparing connectivity across species, and linking this with biophysical dispersal models, have been slow to develop. This is problematic, as it is becoming clear that an understanding of the patterns of concordance in connectivity across multiple species is necessary to better comprehend community-level patterns, and integration with predicted dispersal patterns provides insights into the common drivers of those community patterns. Here, a novel approach, “genogeographic clustering”, was used to determine concordance of spatial population structure in a community of 21 species of coastal marine organism in New Zealand waters. These results were then integrated with predicted patterns of larval dispersal derived from Lagrangian tracking with a nationwide circulation model. This approach shows promise in helping us determine both the concordance in spatial patterns among species in a community, and the potential physical and biological processes driving those patterns.