JOURNAL ARTICLE

The archaeology of 19th century oyster consumption in Melbourne.

  • Published In: Archaeology in Oceania, 2024, v. 59, n. 1. P. 91 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Marshall, Brendan 3 of 3

Abstract

This paper presents comparative research on marine shell from four 19th century historical archaeological sites in Melbourne. The shell derives predominantly from Mud Oyster (Ostrea angasi) and Sydney Rock Oyster (Saccostrea glomerata) commercially harvested from natural reefs along the south‐east Australian coastline. The research collects quantitative data that informs on the 19th century oyster industry and investigates inter‐site shell variability and its implications for processing, consumption and discard. Dredging of subtidal reefs provides an explanation for the numerical dominance of oyster, the presence of subfossil cultch (Anadara) and the wide range of minor shellfish. Mud oyster and Sydney rock oyster comparisons in valve size, sided counts and preservation record significant differences within and between sites due to the origins, depositional conditions and the processing of the shell. These data form the basis of two models. The first predicts the archaeological representation of reef dredging and ranks shellfish according to categories, from live oysters to dead shell sampled from the reef substrate. Based on oyster shell anatomy and the separate uses of the right (lid) and left (dish) valves, the second model considers how oyster processing and consumption is characterised archaeologically in differential valve counts and pairing rates. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Archaeology in Oceania. 2024/04, Vol. 59, Issue 1, p91
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2024
  • ISSN:0728-4896
  • DOI:10.1002/arco.5310
  • Accession Number:176717600
  • Copyright Statement:Copyright of Archaeology in Oceania is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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