Title of Oral/Poster Presentation

Aging Mandibular Bison Teeth with ArcGIS®

Presenter Information

Andrew OwensFollow

Class

Article

Graduation Year

2017

College

Caine College of the Arts

Department

Sociology, Social Work & Anthropology Department

Faculty Mentor

David Byers

Presentation Type

Oral Presentation

Abstract

This mixed-media presentation offers a new, non-destructive, empirical, and replicable method for aging bison teeth with mandibular tooth photos and ArcGIS® digital mapping. Tooth eruption, growth, and attrition can document age-at-death, which informs on hunting strategies, occupation seasonality, environmental conditions, and herd health. Previous dentition studies utilize numerous tooth metrics that commonly require specimen-destructive research methods. Also, occlusal wear age estimates rely on subjective wear patterning classifications and figures. We suggest a new approach that provides age profiles by “mapping” occlusal wear with ESRi’s AcrGIS® software. Planview mandibular tooth photos from known-age (baseline) mandible samples and well-documented prehistoric samples including the Agate Basin, Hawken, Horner, Glenrock, Vore, and Folsom sites were captured and georeferenced. Next, GIS polygons were digitized for various occlusal surface features. Digitized GIS shape files were then used to generate various occlusal surface feature areas, and multiple statistical methods were employed that explore relationships between quantified occlusal surfaces and specimen ages. Results then inform on 13,000 years of human-bison interaction, and provide highly-detailed planview figures that greatly add to future research.

Location

Room 208

Start Date

4-13-2017 1:30 PM

End Date

4-13-2017 2:45 PM

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Apr 13th, 1:30 PM Apr 13th, 2:45 PM

Aging Mandibular Bison Teeth with ArcGIS®

Room 208

This mixed-media presentation offers a new, non-destructive, empirical, and replicable method for aging bison teeth with mandibular tooth photos and ArcGIS® digital mapping. Tooth eruption, growth, and attrition can document age-at-death, which informs on hunting strategies, occupation seasonality, environmental conditions, and herd health. Previous dentition studies utilize numerous tooth metrics that commonly require specimen-destructive research methods. Also, occlusal wear age estimates rely on subjective wear patterning classifications and figures. We suggest a new approach that provides age profiles by “mapping” occlusal wear with ESRi’s AcrGIS® software. Planview mandibular tooth photos from known-age (baseline) mandible samples and well-documented prehistoric samples including the Agate Basin, Hawken, Horner, Glenrock, Vore, and Folsom sites were captured and georeferenced. Next, GIS polygons were digitized for various occlusal surface features. Digitized GIS shape files were then used to generate various occlusal surface feature areas, and multiple statistical methods were employed that explore relationships between quantified occlusal surfaces and specimen ages. Results then inform on 13,000 years of human-bison interaction, and provide highly-detailed planview figures that greatly add to future research.