IDEAS home Printed from https://ideas.repec.org/a/taf/yenvxx/v30y2025i4p354-367.html
   My bibliography  Save this article

What Bit the Ancient Egyptians? Niche Modelling to Identify the Snakes Described in the Brooklyn Medical Papyrus

Author

Listed:
  • Elysha McBride
  • Isabelle C. Winder
  • Wolfgang Wüster

Abstract

The Brooklyn Papyrus is a medical treatise from Ancient Egypt (∼660–330 BCE) focusing on snakebite. Herpetologists have proposed identifications for many of the animals it describes, but some remain uncertain partly because the species no longer live in Egypt. This paper uses niche modelling to predict the palaeodistributions of ten of these snake species, to test some proposed identifications. Occurrence records and environmental variables were used to generate maximum entropy models for each species in the present day and the mid-Holocene (∼4,000 BCE). Our models performed very well, generating AUC scores ≥0.867 and successfully predicting species’ current ranges. Nine species’ predicted palaeodistributions included areas within Ancient Egypt, and four (Bitis arietans, Dolichophis jugularis, Macrovipera lebetina and Daboia mauritanica) were within modern Egypt. Daboia palaestinae was also predicted to occupy a patch of suitable habitat inside modern Egypt, but separate from the species’ core range. The tenth species, Causus rhombeatus, would have been present in kingdoms that were the Ancient Egyptians’ regular trading partners. We therefore conclude that all ten species modelled in this study could have bitten Ancient Egyptian people. Our study demonstrates the usefulness of niche modelling in informing debates about the species ancient cultures may have interacted with.

Suggested Citation

  • Elysha McBride & Isabelle C. Winder & Wolfgang Wüster, 2025. "What Bit the Ancient Egyptians? Niche Modelling to Identify the Snakes Described in the Brooklyn Medical Papyrus," Environmental Archaeology, Taylor & Francis Journals, vol. 30(4), pages 354-367, July.
  • Handle: RePEc:taf:yenvxx:v:30:y:2025:i:4:p:354-367
    DOI: 10.1080/14614103.2023.2266631
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/14614103.2023.2266631
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/14614103.2023.2266631?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:yenvxx:v:30:y:2025:i:4:p:354-367. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/yenv .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.