Barrett

Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.

Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.

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An Archaeological Oxygen Isoscape of the Central Andes

Description
Accurately predicting local ranges of isotopic signatures in human populations is essential for answering questions about past migrations and mobility. While local ranges of δ18O can be estimated using modern baseline samples and precipitation models, there are many environmental and anthropogenic drivers that can cause these ranges to deviate…

Accurately predicting local ranges of isotopic signatures in human populations is essential for answering questions about past migrations and mobility. While local ranges of δ18O can be estimated using modern baseline samples and precipitation models, there are many environmental and anthropogenic drivers that can cause these ranges to deviate from the ranges seen in human populations. This study performs a geostatistical meta-analysis on a large dataset (n = 1,370) of spatially contextualized archaeological δ18O samples from 30 publications in order to generate a predictive model of local human δ18O ranges in the Central Andes. Two models were generated, one using archaeological samples of both humans and fauna, and the other using only humans. The model using only human samples makes more accurate predictions, cautioning against the incorporation of faunal δ18O samples in studies of human provenance. The models are also compared against a model of δ18O values found in precipitation across the study area, and significant differences lead to the conclusion that precipitation models are insufficient for predicting local human δ18O ranges.
ContributorsHatley, Camden Miller (Author) / Knudson, Kelly (Thesis director) / Scaffidi, Beth (Committee member) / School of Earth and Space Exploration (Contributor) / School of Human Evolution & Social Change (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05