Matching Items (5)
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- All Subjects: Bioarchaeology
- Creators: School of Human Evolution & Social Change
- Creators: Bell, Ellen E.
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 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
Description
Objectives: The objective of this research is to develop a better understanding of the ways in which Transition Analysis estimates differ from traditional estimates in terms of age-at-death point estimation and inter-observer error. Materials and methods: In order to achieve the objectives of the research, 71 adult individuals from an archaeological site in northern Sudan were subjected to Transition Analysis age estimation by the author, a beginner-level osteologist. These estimates were compared to previously produced traditional multifactorial age estimates for these individuals, as well as a small sample of Transition Analysis estimates produced by an intermediate-level investigator. Results: Transition Analysis estimates do not have a high correlation with traditional estimates of age at death, especially when those estimates fall within middle or old adult age ranges. The misalignment of beginner- and intermediate-level Transition Analysis age estimations calls into question intra-method as well as inter-method replicability of age estimations. Discussion: Although the poor overall correlation of Transition Analysis estimates and traditional estimates in this study might be blamed on the relatively low experience level of the analyst, the results cast doubt on the replicability of Transition Analysis estimations, echoing the Bethard's (2005) results on a known-age sample. The results also question the validity of refined age estimates produced for individuals previously estimated to be in the 50+ age range by traditional methods and suggest that Transition Analysis tends to produce younger estimates than its traditional counterparts. Key words: age estimation, Transition Analysis, human osteology, observer error
ContributorsPhillips, Megann M. (Author) / Baker, Brenda (Thesis director) / Norris, Annie Laurie (Committee member) / School of International Letters and Cultures (Contributor) / School of Human Evolution and Social Change (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
As a child passes through the birth canal, they become inoculated with vital gram positive and gram-negative bacteria, aerobes and anaerobes. Breast milk helps to support this growing microbiome by providing oligosaccharides that support its proliferation. Breast milk can be considered the most nutritious source of food available to a growing infant by providing the necessary nutrients, growth hormones and antibodies to promote digestive health, growth, and a strong immune system. The Developmental Origins of Health and Disease Theory (DOHaD) is a theory that suggests a growing fetus and nursing child's nutrients and immune system are dependent on the mother's exposure to nutrients and toxins. Studies have shown a positive correlation between the length of nursing and a child's overall health through life. In addition, consuming an enriched diet after weaning builds a strong immunological and nutritional basis from which the child can grow. This leads to improvements in a child's overall health, which has beneficial long-term effects on morbidity and mortality. This project applied the theory to two Middle Horizon (AD500-1100) individuals from Akapana, Tiwanaku, in the Lake Titicaca Basin, Bolivia. Stable nitrogen and carbon isotope analysis was applied to first molar serial samples of these two individuals to determine weaning age and early childhood diet. Both individuals were male; one male died in adolescence between the age of 9-15 years, and the other died as an elderly adult around the age of 50-59 years. The results showed that the male who died in adulthood was provisioned with supplemental and post-weaning foods high in animal protein, and received breast milk until around 37 months of age. The adolescent male was weaned between 11-12 months and consumed a diet dominated by C4 plants \u2014 most likely maize \u2014 with much less protein. The correlation between prolonged access to breast milk and a healthier and more nutritious childhood diet and longevity are consistent with the theory discussed above.
ContributorsCampbell, Sibella Sweelin (Author) / Knudson, Kelly (Thesis director) / Marsteller, Sara (Committee member) / Greenwald, Alexandra (Committee member) / School of Human Evolution & Social Change (Contributor) / School of Molecular Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12
Description
In anthropological models of social organization, kinship is perceived to be fundamental to social structure. This project aimed to understand how individuals buried in neighborhoods or patio groups were affiliated, by considering multiple possibilities of fictive and biological kinship, short or long-term co-residence, and long-distance kin affiliation. The social organization of the ancient Maya urban center of Copan, Honduras during the Late Classic (AD 600-822) period was evaluated through analysis of the human skeletal remains drawn from the largest collection yet recovered in Mesoamerica (n=1200). The research question was: What are the roles that kinship (biological or fictive) and co-residence play in the internal social organization of a lineage-based and/or house society? Biodistance and radiogenic strontium isotope analysis were combined to identify the degree to which individuals buried within 22 patio groups and eight neighborhoods, were (1) related to one another and (2) of local or non-local origin. Copan was an ideal place to evaluate the nuances of migration and kinship as the site is situated at the frontier of the Maya region and the edge of culturally diverse Honduras.
The results highlight the complexity of Copan’s social structure within the lineage and house models proposed for ancient Maya social organization. The radiogenic strontium data are diverse; the percentage of potential non-local individuals varied by neighborhood, some with only 10% in-migration while others approached 40%. The biodistance results are statistically significant with differences between neighborhoods, patios, and even patios within one neighborhood. The high level of in-migration and biological heterogeneity are unique to Copan. Overall, these results highlight that the Copan community was created within a complex system that was influenced by multiple factors where neither a lineage nor house model is appropriate. It was a dynamic urban environment where genealogy, affiliation, and migration all affected the social structure.
The results highlight the complexity of Copan’s social structure within the lineage and house models proposed for ancient Maya social organization. The radiogenic strontium data are diverse; the percentage of potential non-local individuals varied by neighborhood, some with only 10% in-migration while others approached 40%. The biodistance results are statistically significant with differences between neighborhoods, patios, and even patios within one neighborhood. The high level of in-migration and biological heterogeneity are unique to Copan. Overall, these results highlight that the Copan community was created within a complex system that was influenced by multiple factors where neither a lineage nor house model is appropriate. It was a dynamic urban environment where genealogy, affiliation, and migration all affected the social structure.
ContributorsMiller, Katherine Anne (Author) / Buikstra, Jane E. (Thesis advisor) / Bell, Ellen E. (Committee member) / Stojanowski, Christopher M (Committee member) / Knudson, Kelly J. (Committee member) / Arizona State University (Publisher)
Created2015
Description
This paper will cover a variety of stable isotope systems, both light and heavy, that are used to interpret isotopic analysis in two different disciplines: bioarchaeology and forensic anthropology. To begin, I will give short histories of both bioarchaeology and forensic anthropology, including what is considered to be the beginning of the disciplines as well as the founders of said disciplines. Following the histories of the disciplines, there will be a short background in isotopes and isotopic analysis, including an introduction to isoscapes and how isotopic data can be collected for further interpretation. There will then be an introduction to light isotopes, focusing on the ones used for this thesis, which will lead into the background of each light isotope. Following the light isotopes is an introduction to the heavy isotopes and the backgrounds of each of the heavy isotopes. Finally, this thesis will end in the conclusions section.
ContributorsFranco, Kristina Marie (Author) / Knudson, Kelly (Thesis director) / Stojanowski, Christopher (Committee member) / School of Criminology and Criminal Justice (Contributor) / School of Human Evolution & Social Change (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05