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Isonymy and migration distance.

I Barrai1, G Formica, R Barale

  • 1Institute of Zoology, University of Ferrara.

Annals of Human Genetics
|July 1, 1989
PubMed
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Surname distribution among immigrants in Ferrara reveals that isonymy and redundancy decrease with migration distance. Sexual dimorphism in migration is observed, with females migrating shorter distances and males longer ones.

Area of Science:

  • Population genetics
  • Human migration studies
  • Sociolinguistics

Background:

  • Understanding immigrant surname distribution offers insights into migration patterns.
  • Isonymy, the occurrence of identical surnames, can reflect population structure and migration history.
  • Ecological indices derived from entropy provide quantitative measures of surname diversity.

Purpose of the Study:

  • To analyze the distribution of living immigrant surnames in Ferrara by immigrant sex and origin distance.
  • To investigate the relationship between migration distance, surname isonymy, and redundancy.
  • To explore potential sexual dimorphism in migration distances.

Main Methods:

  • Studied surname distribution of living immigrants in Ferrara.
  • Analyzed data by immigrant sex and distance of origin.

Related Experiment Videos

  • Applied ecological indices derived from entropy (e.g., redundancy) to surname distributions.
  • Compared indices across different migration distance ranges.

    • Main Results:

    • Isonymy significantly decreases as the distance from the place of origin increases.
    • Sexual dimorphism in migration distance was identified: females tend to migrate shorter distances, while males migrate longer distances.
    • Redundancy, similar to isonymy, decreases with migration distance.
    • Redundancy may serve as an effective indicator for detecting very-long-distance migration.

    Conclusions:

    • Migration distance is a key factor influencing surname distribution patterns.
    • Sexual dimorphism in migration behavior impacts surname diversity and spatial distribution.
    • Entropy-derived indices like redundancy are valuable tools for analyzing migration patterns and detecting long-distance movements.