A bioavailable strontium isoscape of Angola with implications for the archaeology of the transatlantic slave trade
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Contributors
Abstract
The region of present-day Angola was one of the main areas from which millions of enslaved Africans were abducted and forced to migrate to the Americas during the transatlantic slave trade. Strontium isotope (87Sr/86Sr) analysis is a useful tool in reconstructing large-scale human movements across geologically distinct landscapes in archaeological and forensic contexts. However, the absence of environmental 87Sr/86Sr reference data from Angola hinders the use of 87Sr/86Sr analysis in provenance studies related to Angola, especially in identifying the geographic origin of enslaved people in the African Diaspora. Here, we measured 101 plant samples from most, yet not all, major geological units to draft the first bioavailable 87Sr/86Sr map (isoscape) for Angola using a machine learning framework. Our results suggest that the 87Sr/86Sr ratios in Angola span a large range from 0.70679 to 0.76815 between the different geological units. Specifically, the high average 87Sr/86Sr ratios of 0.74097 (±0.00938, 1 SD) found in the Angola Block of central Angola, are distinctly more radiogenic than any previously published bioavailable 87Sr/86Sr ratios for western Central and West Africa. However, these match the 87Sr/86Sr ratios previously published for human enamel samples from four historic slavery contexts in the Americas. We demonstrate that our strontium isoscape of Angola greatly improves the ability to assess the possible origins of enslaved African individuals discovered outside of Africa and encourage the future use of emerging African isoscapes in the study of life histories within the slave trade.
Details
Original language | English |
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Article number | 105775 |
Number of pages | 11 |
Journal | Journal of Archaeological Science |
Volume | 154(2023) |
Publication status | Published - Jun 2023 |
Peer-reviewed | Yes |
Keywords
ASJC Scopus subject areas
Keywords
- African Diaspora, archaeological mobility, forced migration, random forest regression, strontium isotope analysis