Archaeological Data Recovery In The Piceance And Wyoming Basins Of Northwestern Colorado And Southwestern Wyoming Matthew J Landt Ed by Matthew J. Landt (ed) 9781784917951, 1784917958 instant download after payment.

In the United States of America, Section 106 of the National Historic Preservation Act requires that projects funded, authorized, or permitted by the federal government consider historic properties that may be affected by the development of those projects. To comply with Section 106, an interstate pipeline corridor in southwestern Wyoming and northwestern Colorado was surveyed to identify cultural resources and to evaluate them in terms of significance and potential listing in the National Register of Historic Places. Once sites were identified, a mitigation strategy was developed in coordination with the Bureau of Land Management. That plan prioritized important cultural resources within a regional archaeological context and included substantial excavations at 14 sites.
The archaeological excavations were successful in recovering the types of data necessary to address regional research issues that were raised in the project’s alternative mitigation plan. The data recovery effort included site-specific geophysical assessments as well as providing an opportunity to analyze the geology, fauna, flora, and tens of thousands of prehistoric and historical artifacts from the sites. While there is nothing about the number of artifacts that inherently adds to our understandings of past lifeways, the analyses substantially added to regional datasets for the Paleoindian, Archaic, Formative, Protohistoric, and Historical components. Specifically, the analyses addressed prehistoric chronometric and settlement patterns (Chapter 5), subsistence strategies (Chapter 6), lithic reduction strategies (Chapter 7), as well as synthesizing information for prehistoric hearths (Chapter 8) and architecture (Chapter 9). Chapter 10 focuses on the results of remote sensing at two sites. That is followed by regional syntheses of the prehistoric (Chapter 11) and historical data (Chapter 12). When combined with existing datasets, this synthetic work substantially improves the quality of regional ar