The amount of generic data (sequences, gene frequencies, and isonymy) avail
able for the Province of Ferrara, Italy, makes this area one of the world's
best known. In an effort to infer the underlying demographic processes, we
studied the provinces population structure by comparing geological, palaeo
climatic, archeological, historical, and linguistic data. This multilevel a
pproach allowed us to date some characteristics of the population structure
from prehistoric times to the Roman and Middle Ages, and to detect overlap
ping biological, cultural, and geographic boundaries. To detect linguistic
boundaries within this area we turned pronunciation differences into phonet
ic notation. We then computed pairwise distances by using methods for multi
ple genetic sequence analysis, in order to obtain a distance matrix of the
overall pronunciation variability. This approach enabled us to test the ass
ociation among linguistic, geographical, and genetic distance matrices usin
g the same statistical tests. Results indicate that demographic phenomena c
an be traced in an area as small as the Province of Ferrara and that, on a
microregional scale, recent events may have influenced important aspects of
the overall generic variation.