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Regional population collapse followed initial agriculture booms in mid-Holocene Europe

Shennan, Stephen, Downey, Sean S., Timpson, Adrian, Edinborough, Kevan, Colledge, Sue, Kerig, Tim, Manning, Katie, Thomas, Mark G.·2013·Nature Communications

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Crossref · 10.1038/ncomms3486

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Figure 1 Map of Central and North Western Europe. Points indicate archaeological site locations and colours delineate the sub-regions used to estimate demographic patterns.
Figure 1 Map of Central and North Western Europe. Points indicate archaeological site locations and colours delineate the sub-regions used to estimate demographic patterns.CC BY-NC-SA · PubMed Central
Figure 2 SCDPD-inferred population density change 10,000–4,000 cal. BP using all radiocarbon dates in the western Europe database. The fitted null model of exponential population growth is used to calculate the statistical significance of regional (Fig. 3) and combined regional growth deviations (Fig. 4).
Figure 2 SCDPD-inferred population density change 10,000–4,000 cal. BP using all radiocarbon dates in the western Europe database. The fitted null model of exponential population growth is used to calculate the statistical significance of regional (Fig. 3) and combined regional growth deviations (Fig. 4).CC BY-NC-SA · PubMed Central
Figure 3 SCDPD-inferred population density change 8,000–4,000 cal. BP for each sub-region. Statistically significant deviations from the null model (see Methods) are indicated in red and blue, and blue arrows indicate the first evidence for agriculture in each region. **P-values smaller than P<0.0051, the 95% confidence level calculated using the Šidák correction (see Methods).
Figure 3 SCDPD-inferred population density change 8,000–4,000 cal. BP for each sub-region. Statistically significant deviations from the null model (see Methods) are indicated in red and blue, and blue arrows indicate the first evidence for agriculture in each region. **P-values smaller than P<0.0051, the 95% confidence level calculated using the Šidák correction (see Methods).CC BY-NC-SA · PubMed Central
Figure 4 SCDPD-inferred population density change 8,000–4,000 cal. BP for all regions combined. Statistically significant deviations from the null model of long-term growth (see Methods) are indicated in red and blue.
Figure 4 SCDPD-inferred population density change 8,000–4,000 cal. BP for all regions combined. Statistically significant deviations from the null model of long-term growth (see Methods) are indicated in red and blue.CC BY-NC-SA · PubMed Central

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Citations

Cites

Research works printed but not linked: 35

  1. Bocquet-Appel, J. P. et al. Understanding the rates of expansion of the farming system in Europe. J. Archaeol. Sci. 39, 531–546 (2012). · DOI
  2. Bramanti, B. et al. Genetic discontinuity between local hunter-gatherers and central Europe's first farmers. Science 326, 137–140 (2009). · DOI · Paper page
  3. Pinhasi, R., Thomas, M. G., Hofreiter, M., Currat, M. & Burger, J. The genetic history of Europeans. Trends Genet. 28, 496–505 (2012). · DOI
  4. Malmström, H. et al. Ancient DNA reveals lack of continuity between Neolithic hunter-gatherers and contemporary Scandinavians. Curr. Biol. 19, 1758–1762 (2009). · DOI · Paper page
  5. von Cramon-Taubadel, N. & Pinhasi, R. Craniometric data support a mosaic model of demic and cultural Neolithic diffusion to outlying regions of Europe. P. Roy. Soc. B-Biol. Sci. 278, 2874–2880 (2011). · DOI
  6. Skoglund, P. et al. Origins and genetic legacy of Neolithic farmers and hunter-gatherers in Europe. Science 336, 466–469 (2012). · DOI · Paper page
  7. Ammerman, A. J. & Cavalli-Sforza, L. L. Measuring the rate of spread of early farming in Europe. Man 6, 674–688 (1971). · DOI
  8. Fisher, R. A. The wave of advance of advantageous genes. Ann. Hum. Genet. 7, 355–369 (1937).
  9. Bocquet-Appel, J. P. Paleoanthropological traces of a Neolithic demographic transition. Curr. Anthropol. 43, 637–650 (2002). · DOI
  10. Bocquet-Appel, J. P. When the world's population took off: the springboard of the Neolithic demographic transition. Science 333, 560 (2011). · DOI
  11. McEvedy, C. & Jones, R. Atlas of World Population History Penguin Books Ltd. (1978).
  12. Tallavaara, M. & Seppä, H. Did the mid-Holocene environmental changes cause the boom and bust of hunter-gatherer population size in eastern Fennoscandia? Holocene 1–11 (2011). · DOI
  13. Williams, A. The use of summed radiocarbon probability distributions in archaeology: a review of methods. J. Archaeol. Sci. 39, 578–589 (2011). · DOI
  14. Collard, M., Edinborough, K., Shennan, S. & Thomas, M. G. Radiocarbon evidence indicates that migrants introduced farming to Britain. J. Archaeol. Sci. 37, 866–870 (2010). · DOI
  15. Scott, E. M. The fourth international radiocarbon intercomparison (FIRI). Radiocarbon 45, 135–328 (2003). · DOI
  16. Surovell, T. A., Byrd Finley, J., Smith, G. M., Brantingham, P. J. & Kelly, R. Correcting temporal frequency distributions for taphonomic bias. J. Archaeol. Sci. 36, 1715–1724 (2009). · DOI
  17. Woodbridge, J. et al. The impact of the Neolithic agricultural transition in Britain: a comparison of pollen-based land cover and archaeological 14C date-inferred population change. J. Archaeol. Sci. doi:10.1016/j.jas.2012.10.025 (2012). · DOI
  18. Stevens, C. J. & Fuller, D. Q. Did Neolithic farming fail? The case for a Bronze Age agricultural revolution in the British Isles. Antiquity 86, 707–722 (2012). · DOI
  19. Zimmermann, A., Meurers-Balke, J. & Kalis, A. J. Das Neolithikum im Rheinland. Bonner Jahrbücher 205, 1–63 (2005).
  20. Zimmermann, A., Hilpert, J. & Wendt, K. P. Estimations of population density for selected periods between the Neolithic and AD 1800. Hum. Biol. 81, 357–380 (2009). · DOI
  21. Pétrequin, P. Management of architectural woods and variations in population density in the fourth and third millennia BC (Lakes Chalain and Clairvaux, Jura, France). J. Anthropol. Archaeol. 15, 1–19 (1996). · DOI
  22. Verrill, L. & Tipping, R. Use and abandonment of a Neolithic field system at Belderrig, Co. Mayo, Ireland: evidence for economic marginality. Holocene 20, 1011–1021 (2010). · DOI
  23. Stuiver, M. & Braziunas, T. F. Sun, ocean, climate and atmospheric 14CO2: an evaluation of causal and spectral relationships. Holocene 3, 289 (1993). · DOI
  24. Hinz, M., Feeser, I., Sjögren, K. G. & Müller, J. Demography and the intensity of cultural activities: an evaluation of funnel beaker societies (4200-2800, cal BC). J. Archaeol. Sci. 39, 3331–3340 (2012). · DOI
  25. Bowles, S. Cultivation of cereals by the first farmers was not more productive than foraging. Proc. Natl Acad. Sci. USA 108, 4760–4765 (2011). · DOI · Paper page
  26. Gamble, C., Davies, W., Pettitt, P., Hazelwood, L. & Richards, M. The archaeological and genetic foundations of the European population during the Late Glacial: implications for agricultural thinking. Cambridge Archaeol. J. 15, 193–223 (2005). · DOI
  27. Chapple, R. M. Catalogue of Radiocarbon Determinations & Dendrochronology Dates Oculus Obscura Press (2011).
  28. Heaton, T. J., Blackwell, P. G. & Buck, C. E. A Bayesian approach to the estimation of radiocarbon calibration curves: the IntCal09 methodology. Radiocarbon 51, 1151 (2009). · DOI
  29. Ramsey, C. B. Bayesian analysis of radiocarbon dates. Radiocarbon 51, 337–360 (2009). · DOI · Paper page
  30. Vinther, B. M. et al. Holocene thinning of the Greenland ice sheet. Nature 461, 385 (2009). · DOI
  31. McDermott, F., Mattey, D. P. & Hawkesworth, C. Centennial-scale Holocene climate variability revealed by a high-resolution speleothem δ18O record from SW Ireland. Science 294, 1328 (2001). · DOI
  32. Larocque, I. & Hall, R. I. Holocene temperature estimates and chironomid community composition in the Abisko Valley, northern Sweden. Quat. Sci. Rev. 23, 2453–2465 (2004). · DOI
  33. Bakke, J., Dahl, S. O., Paasche, Løvlie, R. & Nesje, A. Glacier fluctuations, equilibrium-line altitudes and palaeoclimate in Lyngen, northern Norway, during the Lateglacial and Holocene. Holocene 15, 518–540 (2005). · DOI
  34. Thornalley, D. J. R., Elderfield, H. & McCave, I. N. Holocene oscillations in temperature and salinity of the surface subpolar North Atlantic. Nature 457, 711–714 (2009). · DOI
  35. Sarnthein, M. et al. Centennial-to-millennial-scale periodicities of Holocene climate and sediment injections off the western Barents shelf, 75°N. Boreas 32, 447–461 (2008). · DOI

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Metadata

Authors
Shennan, S., Downey, S. S., Timpson, A., Edinborough, K., Colledge, S., Kerig, T., Manning, K., & Thomas, M. G.
Venue
Nature Communications
Published
2013-10-01
Volume
4
Issue
1
ISSN
2041-1723
Cited by
582
References
5
Language
en

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