Estimating the Number of Individuals in a Large Commingled Assemblage

Dados Bibliográficos

ID5284434
AutoresAndrea Palmiotto (0000-0002-8642-9398, Indiana University of Pennsylvania, autor correspondente), Carrie Brown (0000-0001-9820-5175), Carrie Ann Brown, Carrie B Legarde (0000-0002-1361-3653)
Ano2019
Volume2
Fascículo2
Data de publicação2019-07-10
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoForensic Anthropology (JOURNAL)
Identificadores do periódicoISSN: 2573-5020 • E-ISSN: 2573-5039
EditoraUniversity Press of Florida (PUBLISHER)
DOI10.5744/fa.2019.1002
OpenAlexW2920681400
IdiomaEN
Citações recebidas4
Referências citadas14

Estimation of the number of individuals in an assemblage is critical to determine the scale of an incident and whether all expected individuals have been accounted for. However, estimates are affected by recovery and other taphonomic factors inherent to the assemblage, as well as the estimation methods themselves. This study examines several quantification methods using data from the commingled remains of individuals who were aboard the USS Oklahoma at the time of its sinking. Alternatives to traditional minimum number of individuals (MNI) quantifications are presented, to include MNI by duplicated elements per mitochondrial DNA (mtDNA) sequence and use of the zonal inventory procedure. These methods are assessed to determine which provides an estimate closest to the expected population size. Potential advantages and limitations associated with each method are discussed. For this assemblage, a combination of mtDNA sequencing using hypervariable regions 1 and 2 (HV1, HV2) and element duplication provides the most accurate estimate of individuals, and methods that employ pair-matchingperform better than those that do not

Assemblage (archaeology · Biology · Cartography · Estimation · Evolutionary biology · Geography · Hypervariable region · Mitochondrial DNA · Population · Scale (ratio · Sequence (biology · Statistics · Taphonomy · Archaeology and ancient environmental studies · Demography · Engineering · Forensic and Genetic Research · Isotope Analysis in Ecology · Mathematics · Genetics · Paleontology

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