TY - JOUR
T1 - Drinking Locally
T2 - A Water 87Sr/86Sr Isoscape for Geolocation of Archeological Samples in the Peruvian Andes
AU - Scaffidi, Beth K.
AU - Tung, Tiffiny A.
AU - Gordon, Gwyneth
AU - Alaica, Aleksa K.
AU - González La Rosa, Luis Manuel
AU - Marsteller, Sara J.
AU - Dahlstedt, Allisen
AU - Schach, Emily
AU - Knudson, Kelly J.
N1 - Funding Information:
BS funded (through grants to BS and to BS, TT, and KK) and analyzed the majority of the samples, collected the samples, and wrote the manuscript. TT collected the samples and revised the manuscript. GG assisted with isotopic analysis and contributed paragraphs on analytical and instrument methods. AA and LG funded (through a grant to AA) and analyzed the some samples. AA revised the manuscript. SM, AD, and ES collected the samples and revised the manuscript. All authors contributed to the article and approved the submitted version.
Funding Information:
The National Science Foundation SBE Postdoctoral Fellowship (award # 18090470) to BS funded collection and isotopic analysis of water samples. A Vanderbilt University Research Scholar Grant to TT funded additional field collection of samples. A Collaborative Research Grant from the Center for Bioarchaeological Research at Arizona State University to BS, TT, and KK funded analysis of a portion of the water samples. The analysis of seven other samples was supported by the Wenner-Gren Dissertation Fieldwork Grant to AA (award # 9580). The collection of Ilo Valley samples was funded by the Graduate and Professional Student Association Graduate Research Support Program Grant at Arizona State University to ES. Finally, the open access fee was funded by BS, KK, and TT.
Funding Information:
Water sample collection and analysis was supported primarily by: a National Science Foundation SBE Postdoctoral Fellowship to BS (award number 1809470), a Collaborative Research Grant from the Center for Bioarchaeological Research at Arizona State University to BS, TT, and KK, and a Vanderbilt University Research Scholar Grant to TT. The analysis of seven samples was supported by the Wenner-Gren Dissertation Fieldwork Grant to AA (award number 9580). The collection of Ilo Valley samples was funded by the Graduate and Professional Student Association Graduate Research Support Program Grant at Arizona State University to ES. Vanderbilt University BSIRL and Natasha Vang facilitated a great deal of the sample collection, organization, and shipping to Scaffidi for analysis. In addition to BSIRL, ACL, and APU students, the following individuals also graciously assisted with water sampling: Manuel Mamaní Calloapaza, Jacob Bongers, Dave Reid, Jake Dean, Alex Menaker, Matt Biwer, Donna Nash, and Kirk Costion. Furthermore, the following individuals allowed us to use their archeological research projects as home bases for sample collection: Rebecca Bria, Véronique Bélisle, Willy Yépez Álvarez, Justin Jennings, and Donna Nash. We thank researchers at the METAL Laboratory at Arizona State University for assisting with instrumentation and data processing: Trevor Martin, Tyler Goepfert, and Natasha Zolotova. Andrew Zipkin of the Archaeological Chemistry Laboratory at Arizona State University was a limitless source of feedback about chemical and spatial analysis of strontium, and the SPATIAL short course (Isotopes in Spatial Systems) from the Inter-university Training for Continental-scale Ecology group at the University of Utah provided isoscape training for Scaffidi. Michael Scaffidi assisted with figure creation. Finally, we appreciate the invitation to participate in this special edition; we also thank the two reviewers and the editors for their feedback which greatly improved the manuscript. Funding. The National Science Foundation SBE Postdoctoral Fellowship (award # 18090470) to BS funded collection and isotopic analysis of water samples. A Vanderbilt University Research Scholar Grant to TT funded additional field collection of samples. A Collaborative Research Grant from the Center for Bioarchaeological Research at Arizona State University to BS, TT, and KK funded analysis of a portion of the water samples. The analysis of seven other samples was supported by the Wenner-Gren Dissertation Fieldwork Grant to AA (award # 9580). The collection of Ilo Valley samples was funded by the Graduate and Professional Student Association Graduate Research Support Program Grant at Arizona State University to ES. Finally, the open access fee was funded by BS, KK, and TT.
Publisher Copyright:
© Copyright © 2020 Scaffidi, Tung, Gordon, Alaica, González La Rosa, Marsteller, Dahlstedt, Schach and Knudson.
PY - 2020/9/29
Y1 - 2020/9/29
N2 - The analysis of 87Sr/86Sr has become a robust tool for identifying non-local individuals at archeological sites. The 87Sr/86Sr in human bioapatite reflects the geological signature of food and water consumed during tissue development. Modeling relationships between 87Sr/86Sr in human environments, food webs, and archeological human tissues is critical for moving from identifying non-locals to determining their likely provenience. In the Andes, obstacles to sample geolocation include overlapping 87Sr/86Sr of distant geographies and a poor understanding of mixed strontium sources in food and drink. Here, water is investigated as a proxy for bioavailable strontium in archeological human skeletal and dental tissues. This study develops a water 87Sr/86Sr isoscape from 262 samples (220 new and 42 published samples), testing the model with published archeological human skeletal 87Sr/86Sr trimmed of probable non-locals. Water 87Sr/86Sr and prediction error between the predicted and measured 87Sr/86Sr for the archeological test set are compared by elevation, underlying geology, and watershed size. Across the Peruvian Andes, water 87Sr/86Sr ranges from 0.7049 to 0.7227 (M = 0.7081, SD = 0.0027). Water 87Sr/86Sr is higher in the highlands, in areas overlying older bedrock, and in larger watersheds, characteristics which are geographically correlated. Spatial outliers identified are from canals, wells, and one stream, suggesting those sources could show non-representative 87Sr/86Sr. The best-fit water 87Sr/86Sr isoscape achieves prediction errors for archeological samples ranging from 0.0017 – 0.0031 (M = 0.0012, n = 493). The water isoscape explains only 7.0% of the variation in archeological skeletal 87Sr/86Sr (R2 = 0.07), but 90.0% of archeological skeleton 87Sr/86Sr fall within the site isoscape prediction ± site prediction standard error. Due to lower sampling density and higher geological variability in the highlands, the water 87Sr/86Sr isoscape is more useful for ruling out geographic origins for lowland dwellers than for highlanders. Baseline studies are especially needed in the highlands and poorly sampled regions. Because the results demonstrate that a geostatistical water model is insufficient for fully predicting human 87Sr/86Sr variation, future work will incorporate additional substrates like plants, fauna, soils, and dust, aiming to eventually generate a regression and process-based mixing model for the probabilistic geolocation of Andean samples.
AB - The analysis of 87Sr/86Sr has become a robust tool for identifying non-local individuals at archeological sites. The 87Sr/86Sr in human bioapatite reflects the geological signature of food and water consumed during tissue development. Modeling relationships between 87Sr/86Sr in human environments, food webs, and archeological human tissues is critical for moving from identifying non-locals to determining their likely provenience. In the Andes, obstacles to sample geolocation include overlapping 87Sr/86Sr of distant geographies and a poor understanding of mixed strontium sources in food and drink. Here, water is investigated as a proxy for bioavailable strontium in archeological human skeletal and dental tissues. This study develops a water 87Sr/86Sr isoscape from 262 samples (220 new and 42 published samples), testing the model with published archeological human skeletal 87Sr/86Sr trimmed of probable non-locals. Water 87Sr/86Sr and prediction error between the predicted and measured 87Sr/86Sr for the archeological test set are compared by elevation, underlying geology, and watershed size. Across the Peruvian Andes, water 87Sr/86Sr ranges from 0.7049 to 0.7227 (M = 0.7081, SD = 0.0027). Water 87Sr/86Sr is higher in the highlands, in areas overlying older bedrock, and in larger watersheds, characteristics which are geographically correlated. Spatial outliers identified are from canals, wells, and one stream, suggesting those sources could show non-representative 87Sr/86Sr. The best-fit water 87Sr/86Sr isoscape achieves prediction errors for archeological samples ranging from 0.0017 – 0.0031 (M = 0.0012, n = 493). The water isoscape explains only 7.0% of the variation in archeological skeletal 87Sr/86Sr (R2 = 0.07), but 90.0% of archeological skeleton 87Sr/86Sr fall within the site isoscape prediction ± site prediction standard error. Due to lower sampling density and higher geological variability in the highlands, the water 87Sr/86Sr isoscape is more useful for ruling out geographic origins for lowland dwellers than for highlanders. Baseline studies are especially needed in the highlands and poorly sampled regions. Because the results demonstrate that a geostatistical water model is insufficient for fully predicting human 87Sr/86Sr variation, future work will incorporate additional substrates like plants, fauna, soils, and dust, aiming to eventually generate a regression and process-based mixing model for the probabilistic geolocation of Andean samples.
KW - archeological geolocation
KW - geostatistical analysis
KW - isoscape
KW - pre-Hispanic Andes
KW - strontium isotope analysis
UR - http://www.scopus.com/inward/record.url?scp=85093497681&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85093497681&partnerID=8YFLogxK
U2 - 10.3389/fevo.2020.00281
DO - 10.3389/fevo.2020.00281
M3 - Article
AN - SCOPUS:85093497681
SN - 2296-701X
VL - 8
JO - Frontiers in Ecology and Evolution
JF - Frontiers in Ecology and Evolution
M1 - 281
ER -