Defining Fragmentation Patterns of Archaeological Bone Remains without Typologies: A Landmark-Based Approach on Rodent Mandibula

• Published in: Quaternary 2022, Vol.5 (1), p.14
• Main Authors: Durocher, Marine, Grouard, Sandrine, Nicolas, Violaine, Maestri, Renan, Evin, Allowen
• Format: Article
• Language: English
• Subjects: Animal biology; Animal models; Archaeology; Archaeology and Prehistory; Bones; Cameras; Digitization; Fragmentation; geometric morphometrics; Historic buildings & sites; Humanities and Social Sciences; Life Sciences; mandible; Mechanical properties; Rodents; taphonomy; Vertebrate Zoology; zooarchaeology
• ISSN: 2571-550X; 2571-550X
• DOI: 10.3390/quat5010014

Fragmentation is a recurring feature of archaeological faunal material, and impacts many aspects of zooarchaeological studies from taxonomical identification to biometric studies. It can result from anthropic and natural actions that occurred respectively before and/or after bone deposit. While several bone fragmentation typologies have been described, they are currently based on both macroscopic observations and researcher subjectivity and lack the universality necessary for inter-study comparisons. To fulfill this need we present a standardized landmark-based protocol for the description and quantification of mandibular fragmentation patterns, using two insular rodents of different sizes as models. The rice rats (Oryzomyini tribe) and the agouti (Dasyprocta) from the Lesser Antilles were abundant during the pre-Columbian Ceramic Age (500 BCE-1500 CE). Their mandibles’ shapes were quantified using the coordinates of 13 2D-landmarks. We show that landmark-based measurements can be used to:—assess the preservation differences between taxa of the same taxonomic group (e.g., rodents),—estimate the level of preservation of a skeletal part (e.g., mandible),—describe fragmentation patterns without pre-existing typologies and—facilitate the application of geometric morphometric methods to fragmented archaeological material. Our novel approach, leveraging fragmentation analyses and establishing specific fragmentation patterns, frees itself from existing typologies and could be systematically applied to future research.