The study of precontact anthropogenic mounded features-earthen mounds, shell heaps, and shell rings-in the American Southeast is stymied by the spotty distribution of systematic surveys across the region. Many extant, yet unidentified, archaeological mound features continue to evade detection due to the heavily forested canopies that occupy large areas of the region, making pedestrian surveys difficult and preventing aerial observation. Object-based image analysis (OBIA) is a tool for analyzing light and radar (lidar) data and offers an inexpensive opportunity to address this challenge. Using publicly available lidar data from Beaufort County, South Carolina, and an OBIA approach that incorporates morphometric classification and statistical template matching, we systematically identify over 160 previously undetected mound features. This result improves our overall knowledge of settlement patterns by providing systematic knowledge about past landscapes.
Highlights 4 different automatic detection methods are examined Segmentation, inverse depression analysis, template matching, combined method Most effective method of mound detection combines segmentation and template matching Inverse Depression Analysis is highly effective with several hundred iterations Template matching can reduce false positives resulting from natural features A previously unknown shell ring is identified using the proposed OBIA approach A comparison of automated object extraction methods for mound and shell-ring identification in coastal South Carolina
The eastern oyster (Crassostrea virginica) is an important proxy for examining historical trajectories of coastal ecosystems. Measurement of ~40,000 oyster shells from archaeological sites along the Atlantic Coast of the United States provides a long-term record of oyster abundance and size. The data demonstrate increases in oyster size across time and a nonrandom pattern in their distributions across sites. We attribute this variation to processes related to Native American fishing rights and environmental variability. Mean oyster length is correlated with total oyster bed length within foraging radii (5 and 10 km) as mapped in 1889 and 1890. These data demonstrate the stability of oyster reefs despite different population densities and environmental shifts and have implications for oyster reef restoration in an age of global climate change.
Long-distance exchange of copper objects during the Archaic Period (ca. 8000-3000 cal B.P.) is a bellwether of emergent social complexity in the Eastern Woodlands. Originating from the Great Lakes, the Canadian Maritimes, and the Appalachian Mountains, Archaic-age copper is found in significant amounts as far south as Tennessee and in isolated pockets at major trade centers in Louisiana but is absent from most of the southeastern United States. Here we report the discovery of a copper band found with the cremated remains of at least seven individuals buried in the direct center of a Late Archaic shell ring located in coastal Georgia. Late Archaic shell rings are massive circular middens thought to be constructed, in part, during large-scale ritual gatherings and feasting events. The exotic copper and cremated remains are unique in coastal South Carolina and Georgia where Archaic-age cremations are conspicuously absent and no other Archaic copper objects have been reported. Elemental data produced through laser ablation inductively coupled plasma mass spectrometry shows the copper originated from the Great Lakes, effectively extending Archaic copper exchange almost 1,000 km beyond its traditional boundaries. Similarities in mortuary practices and the presence of copper originating from the Great Lakes reveal the presence of long-distance exchange relations spanning vast portions of the eastern United States and suggest an unexpected level of societal complexity at shell ring localities. These findings are consistent with the hypothesis that elite actors solidified their positions through ritual gatherings and the long-distance exchange of exotic objects during the Archaic.
Climate change and anthropogenic activities are actively destroying the archaeological record.The dramatic disappearance of archaeological landscapes becomes particularly problematic when they are also unrecorded. Hidden from view and eroding, these disappearing landscapes likely hold answers to important anthropological questions. As such, disappearing landscapes present a major challenge for 21 st century archaeology. Left unchecked, this phenomenon will increase the severity of bias in our knowledge of the past. In this paper we use a case study from Pinckney Island in the American Southeast to illustrate how the problem of hidden and disappearing landscapes can be addressed through multi-scalar surveys. Specifically, by combining aerial LiDAR, pedestrian survey, and micro-artifact approaches, the identification of hidden and disappearing cultural materials (including permanent settlements and ephemeral artifact scatters) can be alleviated.
Archaeologists have struggled to combine remotely sensed datasets with preexisting information for landscape-level analyses. In the American Southeast, for example, analyses of lidar data using automated feature extraction algorithms have led to the identification of over 40 potential new pre-European-contact Native American shell ring deposits in Beaufort County, South Carolina. Such datasets are vital for understanding settlement distributions, yet a comprehensive assessment requires remotely sensed and previously surveyed archaeological data. Here, we use legacy data and airborne lidar-derived information to conduct a series of point pattern analyses using spatial models that we designed to assess the factors that best explain the location of shell rings. The results reveal that ring deposit locations are highly clustered and best explained through a combination of environmental conditions such as distance to water and elevation as well as social factors.
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