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DOI | 10.1016/j.quascirev.2019.07.025 |
An application of hierarchical Bayesian modeling to better constrain the chronologies of Upper Paleolithic archaeological cultures in France between ca. 32;000–21;000 calibrated years before present | |
Banks W.E.; Bertran P.; Ducasse S.; Klaric L.; Lanos P.; Renard C.; Mesa M. | |
发表日期 | 2019 |
ISSN | 0277-3791 |
起始页码 | 188 |
结束页码 | 214 |
卷号 | 220 |
英文摘要 | Investigations of chronology play a key role in the majority of archaeological research endeavors and are particularly pertinent to examinations of culture-environment relationships, especially during periods characterized by rapid and marked climatic variability and environmental reorganization. Rigorous evaluations of available data and robust methods are required if one wishes to reconstruct reliable chronologies, and this is especially the case when examining periods that are associated with a relatively few radiometric measurements. Such is the case for the Upper Paleolithic archaeological record documented in present-day France from 32,000 to 21,000 calibrated years BP. We take into account critically examined radiocarbon measurements from contextually secure archaeological contexts and employ a recently-developed method of Hierarchical Bayesian Modeling to reconstruct the chronology of archaeological cultures from the Middle Gravettian to the Badegoulian. The calculated chronological intervals for each typo-technologically defined culture phase are compared to the Greenland ice core climatic record and a terrestrial paleoenvironmental record from Bergsee Lake (Southern Germany)—itself expressed in calendar years calculated with the same calibration curve employed in our age model—thereby permitting each archaeological culture to be correlated accurately with documented paleoclimatic variability. © 2019 Elsevier Ltd |
英文关键词 | Chronology; Data analysis; Europe; Hierarchical Bayesian Age-modeling; Paleoclimatology; Pleistocene; Upper Paleolithic |
语种 | 英语 |
scopus关键词 | Data reduction; Geology; Natural sciences; Age modeling; Chronology; Europe; Paleoclimatology; Pleistocene; Upper Paleolithic; Bayesian networks; Bayesian analysis; calibration; chronology; data interpretation; hierarchical system; ice core; paleoclimate; Paleolithic; Pleistocene; Europe |
来源期刊 | Quaternary Science Reviews |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/151808 |
作者单位 | CNRS, UMR 5199 – De la Préhistoire à l'Actuel: Culture, Environnement et Anthropologie, Université de Bordeaux, Allée Geoffroy Saint Hilaire, CS 50023, Pessac Cedex, 33615, France; Biodiversity Institute, University of Kansas, Lawrence, KS 66045-7562, United States; INRAP, Centre de Recherches Archéologiques, 140 avenue Maréchal Leclerc, CS 50036, Bègles Cedex, 33323, France; CNRS, UMR 7055 – Préhistoire et Technologie, Université de Paris Nanterre, 21 Allée de l'Université, Nanterre Cedex, 92023, France; CNRS, UMR 5060 – IRAMAT-CRPAA, Université Bordeaux-Montaigne and UMR 6188 Géosciences-Rennes, Université Rennes 1, Campus scientifique de Beaulieu, CS 74205, Rennes Cedex, 35042, France; CNRS, UMR 5608 – Travaux et Recherches Archéologiques sur les Cultures, les Espaces et les Sociétés, Université de Toulouse Jean Jaurès, 5 Allée Antonio Machado, Toulouse Cedex 9, 31058, France |
推荐引用方式 GB/T 7714 | Banks W.E.,Bertran P.,Ducasse S.,等. An application of hierarchical Bayesian modeling to better constrain the chronologies of Upper Paleolithic archaeological cultures in France between ca. 32;000–21;000 calibrated years before present[J],2019,220. |
APA | Banks W.E..,Bertran P..,Ducasse S..,Klaric L..,Lanos P..,...&Mesa M..(2019).An application of hierarchical Bayesian modeling to better constrain the chronologies of Upper Paleolithic archaeological cultures in France between ca. 32;000–21;000 calibrated years before present.Quaternary Science Reviews,220. |
MLA | Banks W.E.,et al."An application of hierarchical Bayesian modeling to better constrain the chronologies of Upper Paleolithic archaeological cultures in France between ca. 32;000–21;000 calibrated years before present".Quaternary Science Reviews 220(2019). |
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