2021
DOI: 10.1038/s41598-021-03180-4
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Bayesian analyses question the role of climate in Chulmun demography

Abstract: We investigate the relationship between climatic and demographic events in Korea during the Chulmun period (10,000–3,500 cal. BP) by analyzing paleoenvironmental proxies and 14C dates. We focus on testing whether a cooling climate, and its potential negative impact on millet productivity around the mid 5th-millennium cal. BP, triggered the population decline suggested by the archaeological record. We employ a Bayesian approach that estimates the temporal relationship between climatic events and change-points i… Show more

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Cited by 12 publications
(10 citation statements)
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“…While the reality of population declines suggested by this data source is a matter of an ongoing scientific controversy (Torfing, 2015;Crema, 2022), there is a substantial degree of agreement with more traditional archaeological indicators (Downey et al, 2014;Palmisano et al, 2017;Hinz et al, 2022). Overall, it is becoming increasingly clear that, even if population declines following initial population increases in early farmers are not universal (we currently don't have enough data to make such a case), they are certainly a frequent occurrence, documented in different parts of the world (Kim et al, 2021;Kohler et al, 2020;Palmisano et al, 2021b). Causes of Neolithic population busts are currently an unresolved puzzle.…”
Section: Introductionmentioning
confidence: 75%
“…While the reality of population declines suggested by this data source is a matter of an ongoing scientific controversy (Torfing, 2015;Crema, 2022), there is a substantial degree of agreement with more traditional archaeological indicators (Downey et al, 2014;Palmisano et al, 2017;Hinz et al, 2022). Overall, it is becoming increasingly clear that, even if population declines following initial population increases in early farmers are not universal (we currently don't have enough data to make such a case), they are certainly a frequent occurrence, documented in different parts of the world (Kim et al, 2021;Kohler et al, 2020;Palmisano et al, 2021b). Causes of Neolithic population busts are currently an unresolved puzzle.…”
Section: Introductionmentioning
confidence: 75%
“…Several researchers have developed and employed methods to address this issue. The methods used include running significance tests on the correlation between climate events and differences in population development, to identify “trigger” events or measure temporal lags between population decline and change in environmental proxy age depth models (Donges et al, 2016; Siegmund, Siegmund and Donner, 2017; Heitz et al, 2021; Riris and de Souza, 2021; Kim et al, 2021; Kintigh and Ingram, 2018). By considering these lag time factors and employing rigorous statistical methods, researchers can gain a more nuanced understanding of the relationship between climate events and societal changes.…”
Section: Discussionmentioning
confidence: 99%
“…Bebber et al, 2022), or environmental changes (e.g. Kim et al, 2021). The impact of Bayesian chronological inference was termed 'a revolution in understanding ' (cf.…”
Section: Radiocarbon Revolutionsmentioning
confidence: 99%