globalchange  > 气候变化与战略
DOI: 10.1073/pnas.1920051117
论文题名:
The spatiotemporal spread of human migrations during the European Holocene
作者: Racimo F.; Woodbridge J.; Fyfe R.M.; Sikora M.; Sjögren K.-G.; Kristiansen K.; Linden M.V.
刊名: Proceedings of the National Academy of Sciences of the United States of America
ISSN: 0027-8424
出版年: 2020
卷: 117, 期:16
起始页码: 8989
结束页码: 9000
语种: 英语
英文关键词: Ancient DNA ; Bronze Age ; Land cover ; Migrations ; Neolithic
Scopus关键词: ancient DNA ; carbon 14 ; ancient DNA ; agricultural worker ; ancestry group ; archeology ; Article ; climate change ; Europe ; grassland ; Holocene ; human ; landscape ; mathematical model ; migration ; Neolithic ; pasture ; population movement pattern ; priority journal ; vegetation ; agriculture ; animal dispersal ; biological model ; feasibility study ; forest ; geography ; history ; human genome ; information processing ; migration ; plant dispersal ; procedures ; radiometric dating ; spatiotemporal analysis ; Agriculture ; Animal Distribution ; Archaeology ; Datasets as Topic ; DNA, Ancient ; Europe ; Farmers ; Feasibility Studies ; Forests ; Genome, Human ; Geography ; Grassland ; History, Ancient ; Human Migration ; Humans ; Models, Genetic ; Plant Dispersal ; Radiometric Dating ; Spatio-Temporal Analysis
英文摘要: The European continent was subject to two major migrations of peoples during the Holocene: the northwestward movement of Anatolian farmer populations during the Neolithic and the westward movement of Yamnaya steppe peoples during the Bronze Age. These movements changed the genetic composition of the continent’s inhabitants. The Holocene was also characterized by major changes in vegetation composition, which altered the environment occupied by the original hunter-gatherer populations. We aim to test to what extent vegetation change through time is associated with changes in population composition as a consequence of these migrations, or with changes in climate. Using ancient DNA in combination with geostatistical techniques, we produce detailed maps of ancient population movements, which allow us to visualize how these migrations unfolded through time and space. We find that the spread of Neolithic farmer ancestry had a two-pronged wavefront, in agreement with similar findings on the cultural spread of farming from radiocarbon-dated archaeological sites. This movement, however, did not have a strong association with changes in the vegetational landscape. In contrast, the Yamnaya migration speed was at least twice as fast and coincided with a reduction in the amount of broad-leaf forest and an increase in the amount of pasture and natural grasslands in the continent. We demonstrate the utility of integrating ancient genomes with archaeometric datasets in a spatiotemporal statistical framework, which we foresee will enable future studies of ancient populations’ movements, and their putative effects on local fauna and flora. © 2020 National Academy of Sciences. All rights reserved.
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被引频次[WOS]:39   [查看WOS记录]     [查看WOS中相关记录]
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/164234
Appears in Collections:气候变化与战略

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作者单位: Racimo, F., Lundbeck GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, 1350, Denmark; Woodbridge, J., School of Geography, Earth, and Environmental Sciences, University of Plymouth, Plymouth, PL4 8AA, United Kingdom; Fyfe, R.M., School of Geography, Earth, and Environmental Sciences, University of Plymouth, Plymouth, PL4 8AA, United Kingdom; Sikora, M., Lundbeck GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, 1350, Denmark; Sjögren, K.-G., Department of Historical Studies, University of Gothenburg, Gothenburg, 405 30, Sweden; Kristiansen, K., Department of Historical Studies, University of Gothenburg, Gothenburg, 405 30, Sweden; Linden, M.V., Department of Archaeology, University of Cambridge, Cambridge, CB2 1TN, United Kingdom

Recommended Citation:
Racimo F.,Woodbridge J.,Fyfe R.M.,et al. The spatiotemporal spread of human migrations during the European Holocene[J]. Proceedings of the National Academy of Sciences of the United States of America,2020-01-01,117(16)
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