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An Examination of the Spatial–Temporal Isolation Model in a Nilotic Population

Variation across Space and Time in Nubians Using Cranial Discrete Traits

Bibliographic Data

ID7809633
AuthorsK Godde (0000-0001-7888-2945, Department of Anthropology University of Tennessee Knoxville TN 37996–0720 USA, corresponding author)
Year2013
Volume23
Issue3
Pages324-333
Publication date2013-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Osteoarchaeology (JOURNAL)
Journal identifiersISSN: 1047-482X • E-ISSN: 1099-1212
PublisherWiley (PUBLISHER • GB)
DOI10.1002/oa.1252
OpenAlexW1528514551
LanguageEN
Citations received5
References cited59

Nubian biological evolution has come under much scrutiny in preceding years with strong opinions dividing scholars' beliefs as to how it occurred. A new approach is necessary to elucidate subtleties of their population structure in order to shed light on the complex subject. This study employs a spatial–temporal model in an effort to test if in situ biological evolution was the mechanism for biological change. Biological distance was calculated from the phenotype using 20 cranial discrete traits observed in Nubian samples from the sites of Semna South, Kerma, and the islands of Hesa and Biga. The periods represented at Semna South are Meroitic, X‐Group and Christian, whereas the Kerma site yielded skeletal material from the Kerma period, and the islands of Hesa and Biga date to the Christian period. Mahalanobis D 2 with a tetrachoric matrix was used to calculate biological distances among the samples, and three‐way Mantel tests were applied to the distance, spatial and temporal matrices. Time was not significantly correlated with biological distance. However, an inverse relationship of time and biological distance is expected under the spatial–temporal model. A lack of significant geographic correlations, as found here, is unusual in most populations, but given the spatial construct of the sites along the Nile, this relationship is not completely unexpected. The lack of significant correlation among time, space and biological distance does not support the in situ hypothesis. Copyright © 2011 John Wiley & Sons, Ltd

Biology · Evolutionary biology · Geographical distance · Geography · Kerma · Mahalanobis distance · Population · Statistics · Demography · Forensic and Genetic Research · Forensic Anthropology and Bioarchaeology Studies · Mathematics · Medicine · Wildlife Ecology and Conservation

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Unique citing works5
Citations per year0,42
Citation span2014 - 2021 (8)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 2

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