Considering passenger pigeon abundance and distribution in the Late Woodland zooarchaeological record of southern Ontario, Canada.

  • Published In: International Journal of Osteoarchaeology, 2023, v. 33, n. 4. P. 608 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Orchard, Trevor J.; Needs‐Howarth, Suzanne; Hawkins, Alicia L.; Lesage, Louis; Guiry, Eric J.; Royle, Thomas C. A. 3 of 3

Abstract

The passenger pigeon (Ectopistes migratorius) was once the most abundant bird species in North America. Flocks of these birds witnessed in the early 19th century were so vast that they were said to darken the sky for days as they passed. Early syntheses of passenger pigeon remains in archaeological contexts in the eastern United States, in contrast, found them to be relatively rare in relation to other fowl, leading to the suggestion that the colonial‐era hyper‐abundance of passenger pigeons was a post‐European‐contact phenomenon resulting from contact‐induced demographic and ecological changes. In this paper, we provide new insights into passenger pigeon historical ecology through a synthesis and GIS‐based analysis of zooarchaeological data on skeletal remains from 157 Late Woodland (ca. 900–1650 CE) sites in Ontario, Canada. Our results reveal that passenger pigeon bones are common, and often abundant, in Late Woodland archaeological assemblages in Ontario, which speaks to the species' importance to Indigenous peoples in the region. However, the relative abundance of passenger pigeon remains varies over time, suggesting longer‐term trends in their availability and/or in hunting patterns. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Osteoarchaeology. 2023/07, Vol. 33, Issue 4, p608
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2023
  • ISSN:1047-482X
  • DOI:10.1002/oa.3163
  • Accession Number:170026771
  • Copyright Statement:Copyright of International Journal of Osteoarchaeology 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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