Particle size distribution: An experimental study using southern African reduction methods and raw materials

• Published in: PloS one 2022-12, Vol.17 (12), p.e0278867-e0278867
• Main Authors: de la Peña, Paloma, Thomas, Marc, Molefyane, Tumelo R
• Format: Article
• Language: English
• Subjects: Africa, Southern; Analysis; Archaeology; Atomic properties; Biology and Life Sciences; Data mining; Datasets; Earth Sciences; Europe; Evaluation; Experiments; Flaking; Flint; Fossils; Humanities and Social Sciences; Lithic; Methods; Particle Size; Particle size distribution; Perturbation; Physical Sciences; Pleistocene; Pleistocene deposits; Quartz; Quartzite; Raw materials; Reduction; Research and Analysis Methods; Rhyolite; Runoff; Size distribution; Social Sciences; Stone; Stone Age; Technology
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0278867

We experimentally created a particle size dataset that is based on reduction sequences and raw materials typical of the Middle and Later Stone Age in southern Africa. The reason for creating this new dataset is that current particle size frameworks are based, almost exclusively, on flint and western European knapping methods. We produced the dataset using knapping methods and raw materials frequently encountered in the southern African archaeological record because we wanted to test whether it has the same distribution as particle size datasets experimentally created in Europe, and to initialise the production of a database for use in the analysis of lithic assemblages from southern African Late Pleistocene deposits. We reduced 117 cores of quartz, quartzite, jasper, chalcedony, hornfels, and rhyolite. The knapping methods selected were unidirectional, discoidal, Levallois recurrent and bipolar flaking. In this article we compare this new particle size distribution dataset with the results obtained from previous experiments. We found that the southern African dataset shows a wider size range distribution, which seems to be explained by differences in knapping methods and raw materials. Our results show that there is overlap between the distribution of the southern African experimental knapping dataset and the sorting experiment conducted by Lenoble on flint artefacts in a runoff context. This article shows that a particle size analysis is not sufficient on its own to assess the perturbation of an archaeological assemblage and must be coupled with other analytical tools.