IPHES, Institut Català de Paleoecologia Humana i Evolució Social, Tarragona, Spain and Àrea de Prehistòria, Universitat Rovira i Virgili (URV), Zona Educacional, 4 - Campus Sescelades URV (Edifici W3), 43007, Tarragona, Spain.
Faculty of Humanities & Performing Arts, University of Wales Trinity Saint David, Lampeter Campus, Ceredigion, SA48 7ED, United Kingdom.
Sci Rep. 2017 Sep 20;7(1):11985. doi: 10.1038/s41598-017-12318-2.
Large radiocarbon datasets have been analysed statistically to identify, on the one hand, the dynamics and tempo of dispersal processes and, on the other, demographic change. This is particularly true for the spread of farming practices in Neolithic Europe. Here we combine the two approaches and apply them to a new, extensive dataset of 14,535 radiocarbon dates for the Mesolithic and Neolithic periods across the Near East and Europe. The results indicate three distinct demographic regimes: one observed in or around the centre of farming innovation and involving a boost in carrying capacity; a second appearing in regions where Mesolithic populations were well established; and a third corresponding to large-scale migrations into previously essentially unoccupied territories, where the travelling front is readily identified. This spatio-temporal patterning linking demographic change with dispersal dynamics, as displayed in the amplitude of the travelling front, correlates and predicts levels of genetic admixture among European early farmers.
已对大量放射性碳数据集进行了统计学分析，以一方面确定扩散过程的动态和节奏，另一方面确定人口变化。这在新石器时代欧洲的农业实践传播中尤其如此。在这里，我们将这两种方法结合起来，并将其应用于一个新的、广泛的数据集，该数据集包含了近东和欧洲中石器时代和新石器时代的 14535 个放射性碳日期。结果表明存在三种不同的人口统计学模式：一种发生在农业创新的中心或周围，涉及承载能力的提高；第二种出现在中石器时代人口已经很好建立的地区；第三种对应于大规模向以前基本上无人居住的地区迁移，在这些地区很容易识别到移动前沿。这种将人口变化与扩散动态联系起来的时空模式，如移动前沿的幅度所示，与欧洲早期农民之间的基因混合水平相关，并可预测这种水平。
