2014
DOI: 10.1016/j.quascirev.2014.05.015
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Prehistoric demographic fluctuations in China inferred from radiocarbon data and their linkage with climate change over the past 50,000 years

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Cited by 107 publications
(99 citation statements)
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“…Nevertheless, using radiocarbon data as a proxy for reconstructing basin-scale erosion in this paper represents a methodological exploration. Just as Wang et al (2014) equated the intensity of radiocarbon dated sediments from archaeological sites to prehistoric human population levels, this methodological exploration is based on a simplified, idealised model, the further testing of which will require more high-resolution chronological and palaeoenvironmental data, especially results from other dating methods (e.g. luminescence dating) independent of radiocarbon.…”
Section: Discussionmentioning
confidence: 99%
“…Nevertheless, using radiocarbon data as a proxy for reconstructing basin-scale erosion in this paper represents a methodological exploration. Just as Wang et al (2014) equated the intensity of radiocarbon dated sediments from archaeological sites to prehistoric human population levels, this methodological exploration is based on a simplified, idealised model, the further testing of which will require more high-resolution chronological and palaeoenvironmental data, especially results from other dating methods (e.g. luminescence dating) independent of radiocarbon.…”
Section: Discussionmentioning
confidence: 99%
“…Summed probability distributions have been used to assess paleodemographic trends in the Americas, Europe, Eurasia, and Australia (e.g., refs. 1, 2, 11, and [13][14][15][16][17][18][19][20] and methodological issues have been discussed at length (see refs. 17, 21, and 22 and Supporting Information for examples).…”
mentioning
confidence: 99%
“…In archaeology, the creation of large databases of chronological information allows for higher-resolution cross-referencing of key events. A compilation of all previously published radiocarbon dates from China, for example, suggests that warmer and wetter periods were correlated with population growth (assuming population is reflected in radiocarbon-date frequency), whereas populations declined in cooler and more arid periods (15). Similar correlations have been demonstrated for Holocene North Africa (16), where desertification following the end of the African Humid period ∼3000 BC profoundly decreased the density of human settlement outside the Nile valley.…”
Section: Challenges In Linking Climate Variability To Variability In mentioning
confidence: 56%