Combining Bayesian age models and genetics to investigate population dynamics and extinction of the last mammoths in northern Siberia

Combining Bayesian age models and genetics to investigate population dynamics and extinction of the last mammoths in northern Siberia

To understand the causes and implications of an extinction event, detailed information is necessary. However, this can be challenging when working with poorly resolved paleontological data sets. One approach to increase the data resolution is by combining different methods. In this study, we used bo...

Full description

Bibliographic Details
Main Authors: Dalén, L. (Author), Danilov, G.K (Author), Dehasque, M. (Author), Díez-del-Molino, D. (Author), Lister, A.M (Author), Muller, H. (Author), Nikolskiy, P. (Author), Pečnerová, P. (Author), Tikhonov, A. (Author), Tsigankova, V.I (Author), Vartanyan, S. (Author)
Format: Article
Language:English
Published: Elsevier Ltd 2021
Subjects:
Age models
Ancient DNA
Bayesian
Bayesian age modeling
Bayesian age modelling
Bayesian networks
Data set
ecological modeling
extinction
Holocene
Magadan [Russian Federation]
mammoth
Mammuthus primigenius
Mitochondrial genomes
Palaeontological data
population dynamics
Population dynamics
Population statistics
Radiocarbon
radiocarbon dating
Russian Federation
Sea level
Siberia
SIBERIA
Woolly mammoth
Woolly mammoths
Wrangel Island
Younger Dryas
Online Access:View Fulltext in Publisher

Internet

View Fulltext in Publisher

Similar Items