4.4 Article

A Neolithic population model based on new radiocarbon dates from mining, funerary and population scaled activity in the Saint-Gond Marshes region of North East France

期刊

QUATERNARY INTERNATIONAL
卷 586, 期 -, 页码 121-132

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.quaint.2021.03.001

关键词

Neolithic; Mesolithic; Mining; Hypogeums; Radiocarbon; France

资金

  1. French Ministry of Culture (Regional Service of Archaeology of the Regional Direction of Cultural Affairs in Champagne-Ardenne, Grand-Est region)
  2. National Center of Scientific Research (CNRS)
  3. Archeologie Terre Histoire Societes (ARTEHIS) lab
  4. Communautes de communes d'Epernay et des Paysages de Champagne, le Departement de la Marne
  5. Leverhulme Trust [RPG-2015-199]

向作者/读者索取更多资源

New radiocarbon data for the Neolithic marshes of Marais de Saint-Gond Marne in France were presented and modeled. The study provided a synthesis of human activity in the region, revealing the earliest flint mine pits in France dating back to the Mesolithic period and showing a peak in regional population consistent with the advent of hypogeum construction during the late Neolithic period.
We present and model new radiocarbon data for the Neolithic marshes of Marais de Saint-Gond Marne in France. We then provide the first radiocarbon-based synthesis of human activity in this region. The earliest flint mine pits dug in France were dated to between 7518 and 7356 cal BC (95% probability) in the Mesolithic period. A Neolithic sequence of activity has been reconstructed in detail for the mine and hypogeums in the Vert-laGravelle ?La Craye`re? site. Using summed probability distribution frequencies with new radiocarbon results from flint mines, hypogeum-burials and settlements, we show the peak of regional population is consistent with the advent of the hypogeum construction during the Ne?olithique re?cent/Ne?olithique final between 3650 and 2900 cal BC (95% probability).

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据