Integrating geoinformatics and anthropological techniques for the resolution of complex commingled skeletal assemblages. The mass grave 3 at the Mohacs National Memorial Site

  • Marcos De Andres Montero Department of Biological Anthropology, University of Szeged, Szeged, Hungary; Department of Archaeology, Janus Pannonius Museum, Pecs, Hungary
  • Oszkar Schutz Deparment of Genetics, University of Szeged, Szeged, Hungary
  • Luca Kis Department of Biological Anthropology, University of Szeged, Szeged, Hungary
  • Olga Spekker Department of Biological Anthropology, University of Szeged, Szeged, Hungary
  • Viktor Vig Department of Biological Anthropology, University of Szeged, Szeged, Hungary
  • Reka Kocsmar Department of Biological Anthropology, University of Szeged, Szeged, Hungary
  • Zsofia Simon Koszeg City Museum and Library, Koszeg, Hungary
  • Bela Simon Department of Archaeology, University of Szeged, Szeged, Hungary
  • Reka Nemenyi Department of Archaeology, University of Szeged, Szeged, Hungary
  • Gabor Bertok Department of Archaeology, University of Szeged, Szeged, Hungary
  • Balazs Tihanyi Department of Biological Anthropology, University of Szeged, Szeged, Hungary; Department of Archaeology, University of Szeged, Szeged, Hungary
  • Gyorgy Palfi Department of Biological Anthropology, University of Szeged, Szeged, Hungary

Absztrakt

Background: This study outlines a methodology for the excavation and anthropological examination of partially commingled human remains from Mass grave 3 (MG3), associated with the 1526 Battle of Mohacs.

Objective: The identity and circumstances of the demise of the individuals found in MG3 are the 2 main scientific questions. These can be answered after rearranging the disarticulated remains.

Materials and methods: The presented methodology aims to facilitate the documentation, classification, sorting and rearrangements of partially commingled remains so that the number of individualized skeletons in the assemblage – where only one-third of the material was originally recovered as relatively complete skeletons – can be increased.

Results: The geoinformatics software QGIS 3.20.2, was used to record the position of the different skeletal elements within the grave. Moreover, a new anatomical coding system proved effective in differentiating skeletons based on their level of completeness. Additionally, a set of osteometric formulae proposed by Anastopoulou and colleagues, and Byrd and collaborators were tested and modified before using them to narrow down the number of potential matches for each element. Lastly, an organized system that integrates the already mentioned tools and others like visual pair-matching or articulation is proposed.

Conclusion: Results after applying this new methodology show that the original number of relatively complete skeletons could be increased by 50% after applying this new methodology, suggesting that the presented method can be utilized in any other plural burial.

Hivatkozások

References: None.
Megjelent
2026-08-01
Rovat
Absztraktok - Előadások