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Bayesian analyses of radiocarbon dates suggest multiple origins of ceramic technology in Early Holocene Africa

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  • Rocco Rotunno

    (University of Cambridge
    Sapienza University of Rome)

  • Enrico R. Crema

    (University of Cambridge
    University of Cambridge)

Abstract

Ceramic technology emerged and spread in Saharan Africa between the end of the 11th and the beginning of the 10th millennium cal BP during the so-called African Humid Period. This innovation is linked to hunter-gatherer-fisher groups adapting to changing and increased ecological productivity. Several putative points of origin and the resulting corridors of diffusion of this technology have been suggested in the literature, but there is currently no consensus on whether ceramics in this region originated as a single or multiple independent episodes of innovation. Here, we synthesise the available radiocarbon evidence associated with the presence and absence of ceramic technology in Early Holocene Africa and statistically model spatio-temporal diffusion processes using different combinations of putative origin points. The result of our model comparison provides support for either a dual or triple-origin model, with core areas potentially in the Central Sahara, Nile Valley and West Africa. These findings refine current debates on early pottery innovation, highlighting the role of localized technological choices, environmental factors and interregional interactions in shaping its spread.

Suggested Citation

  • Rocco Rotunno & Enrico R. Crema, 2025. "Bayesian analyses of radiocarbon dates suggest multiple origins of ceramic technology in Early Holocene Africa," Nature Communications, Nature, vol. 16(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-63887-0
    DOI: 10.1038/s41467-025-63887-0
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    1. Fabio Silva & Chris J Stevens & Alison Weisskopf & Cristina Castillo & Ling Qin & Andrew Bevan & Dorian Q Fuller, 2015. "Modelling the Geographical Origin of Rice Cultivation in Asia Using the Rice Archaeological Database," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-21, September.
    2. Ekaterina Dolbunova & Alexandre Lucquin & T. Rowan McLaughlin & Manon Bondetti & Blandine Courel & Ester Oras & Henny Piezonka & Harry K. Robson & Helen Talbot & Kamil Adamczak & Konstantin Andreev & , 2023. "The transmission of pottery technology among prehistoric European hunter-gatherers," Nature Human Behaviour, Nature, vol. 7(2), pages 171-183, February.
    3. Nada Salem & Marieke S. Loosdrecht & Arev Pelin Sümer & Stefania Vai & Alexander Hübner & Benjamin Peter & Raffaela A. Bianco & Martina Lari & Alessandra Modi & Mohamed Faraj Mohamed Al-Faloos & Musta, 2025. "Ancient DNA from the Green Sahara reveals ancestral North African lineage," Nature, Nature, vol. 641(8061), pages 144-150, May.
    4. Edward Armstrong & Miikka Tallavaara & Peter O. Hopcroft & Paul J. Valdes, 2023. "North African humid periods over the past 800,000 years," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    5. Yu, Keming & Moyeed, Rana A., 2001. "Bayesian quantile regression," Statistics & Probability Letters, Elsevier, vol. 54(4), pages 437-447, October.
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