Institute of Physics and Materials Science, University of Natural Resources and Life Sciences, Peter Jordan Straße 82, 1190, Vienna, Austria.
Institute of Statistics, University of Natural Resources and Life Sciences, Peter Jordan Straße 82, 1190, Vienna, Austria.
Sci Rep. 2020 Jul 9;10(1):11255. doi: 10.1038/s41598-020-68194-w.
Dating of wood is a major task in historical research, archaeology and paleoclimatology. Currently, the most important dating techniques are dendrochronology and radiocarbon dating. Our approach is based on molecular decay over time under specific preservation conditions. In the models presented here, construction wood, cold soft waterlogged wood and wood from living trees are combined. Under these conditions, molecular decay as a usable clock for dating purposes takes place with comparable speed. Preservation conditions apart from those presented here are not covered by the model and cannot currently be dated with this method. For example, samples preserved in a clay matrix seem not to fit into the model. Other restrictions are discussed in the paper. One model presented covers 7,500 years with a root mean square error (RMSE) of 682 years for a single measurement. Another model reduced to the time period of the last 800 years results in a RMSE of 92 years. As multiple measurements can be performed on a single object, the total error for the whole object will be even lower.
木材年代测定是历史研究、考古学和古气候学的主要任务。目前,最重要的年代测定技术是树木年代学和放射性碳年代测定。我们的方法基于特定保存条件下随时间的分子衰减。在呈现的这些模型中,建筑木材、寒冷的软水淹木材和活树的木材结合在一起。在这些条件下,分子衰减作为一种可用于约会目的的时钟,其发生速度具有可比性。除呈现的这些保存条件外,模型不涵盖其他条件,并且目前无法使用此方法进行年代测定。例如,保存在粘土层中的样本似乎不符合该模型。本文讨论了其他限制条件。一个呈现的模型涵盖了 7500 年,单个测量的均方根误差(RMSE)为 682 年。另一个简化到过去 800 年时间的模型的 RMSE 为 92 年。由于可以在单个物体上进行多次测量,因此整个物体的总误差甚至会更低。