Percorrer por autor "Forrest, Frances"
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- Early oldowan technology thrived during pliocene environmental change in the Turkana Basin, Kenya.Publication . Braun, David R.; Palcu Rolier, Dan V.; Advokaat, Eldert L.; Archer, Will; Baraki, Niguss G.; Biernat, Maryse D.; Beaudoin, Ella; Behrensmeyer, Anna K.; Bobe, René; Elmes, Katherine; Forrest, Frances; Hammond, Ashley S.; Jovane, Luigi; Kinyanjui, Rahab N.; de Martini, Ana P.; Mason, Paul R D.; McGrosky, Amanda; Munga, Joanne; Ndiema, Emmanuel K.; Patterson, David B.; Reeves, Jonathan S.; Roman, Diana C.; Sier, Mark J.; Srivastava, Priyeshu; Tuosto, Kristen; Uno, Kevin T.; Villaseñor, Amelia; Wynn, Jonathan G.; Harris, John W. K.; Carvalho, SusanaApproximately 2.75 million years ago, the Turkana Basin in Kenya experienced environmental changes, including increased aridity and environmental variability. Namorotukunan is a newly discovered archaeological site which provides a window into hominin behavioral adaptations. This site lies within the upper Tulu Bor and lower Burgi members of the Koobi Fora Formation (Marsabit District, Kenya), presently a poorly understood time interval due to large-scale erosional events. Moreover, this locale represents the earliest known evidence of Oldowan technology within the Koobi Fora Formation. Oldowan sites, older than 2.6 million years ago, are rare, and these typically represent insights from narrow windows of time. In contrast, Namorotukunan provides evidence of tool-making behaviors spanning hundreds of thousands of years, offering a unique temporal perspective on technological stability. The site comprises three distinct archaeological horizons spanning approximately 300,000 years (2.75 − 2.44 Ma). Our findings suggest continuity in tool-making practices over time, with evidence of systematic selection of rock types. Geological descriptions and chronological data, provide robust age control and contextualize the archaeological finds. We employ multiple paleoenvironmental proxies, to reconstruct past ecological conditions. Our study highlights the interplay between environmental shifts and technological innovations, shedding light on pivotal factors in the trajectory of human evolution.
- Using remote sensing and machine learning to reconstruct paleoenvironmental features in the Koobi Fora FormationPublication . Dorans, Elizabeth R.; Coelho, Joao D'Oliveira; Anemone, Robert L.; Bobe, Rene; Carvalho, Susana; Forrest, Frances; Braun, David R.Advances in Geographic Information Systems and Remote Sensing technologies have the potential to revolutionize archaeological and paleontological fieldwork. Machine learning models have been effective in identifying conditions ideal for preservation, exposure, and discovery of fossils in a range of geographic contexts. Researchers working in the Koobi Fora Formation of northern Kenya have long inquired about the geographic patterning of extinct fauna and their respective paleoenvironments. This project is the first attempt to use machine learning techniques to capture paleoecological patterns utilizing topographical and spectral variables that may be predictive of the input of aquatic components in the paleoenvironments of the Koobi Fora Formation.