Archeological, archival, and geomorphologic investigations were conducted for the proposed Pharr-Reynosa International Bridge Project in Hidalgo County, Texas, by Prewitt and Associates, Inc. from October 12-27, 1992. The purposes of these investigations were to locate and record any cultural resources within the project area, determine their eligibility for listing on the National Register of Historic Places and designation as State Archeological Landmarks, and to provide an overview of the Holocene geomorphic history of the project area.
The geomorphic history of the project area suggests that the Rio Grande has experienced continuous channel aggradation from the end of the Pleistocene to ca. 1000 B.P. Climatic changes and diminishing sediment loads led to channel incision around 1000 B.P., forming a low late Holocene terrace and resulting in increased sinuosity and a decreased channel width-to-depth ratio.
The investigations included a stratified sample survey of approximately 162 hectares (400 acres) and the excavation of 16 backhoe trenches and 14 shovel tests. A total of 10 sites, consisting of 10 historic and 2 prehistoric components, were documented. Six standing architectural properties, each consisting of a structure or groups of structures, also were documented.
Four of the sites (41HG153, 41HG155, 41HG156, and 41HG158) are considered to be potentially eligible for listing on the National Register of Historic Places and for designation as State Archeological Landmarks. Two of the architectural properties - the Carmichael and Sorenson farmsteads - also may be eligible for listing on the National Register. The four potentially eligible sites consist of four historic and two prehistoric components. The historic components date from the Texas Republic period to the early twentieth century, representing the establishment and development of the EI Capote Ranch community. The two prehistoric components (41HG153 and 41HG158), of which only 41HG153 is potentially eligible, represent Late Prehistoric and unknown prehistoric components, respectively.
Using Split Samples to Improve Inference on Causal Effects
