2021
DOI: 10.1007/s10584-021-03042-y
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Spatiotemporal shifts of population and war under climate change in imperial China

Abstract: Studies on the spatiotemporal relationship between historical climate change and the patterns of population and war are rare. In this research, statistical methods (such as correlation test and Granger causality analysis) and visualization technique are applied to demonstrate how temperature, in terms of long-term trend and cyclic mode, fundamentally affects the temporal-spatial variations of population center and war center during imperial China (5–1911 CE). Results show that (1) the consistent southward migr… Show more

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Cited by 12 publications
(2 citation statements)
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“…Human beings were vulnerable to drought, insect pests and other meteorological disasters due to the weak resistance to natural disaster and were mostly dependent on heaven for food ( Lee et al, 2017 ; Fang et al, 2015 ; Wan et al, 2017b ). Furthermore, household registration data, the historical population size in the middle and lower Yellow River showed a progressive population growth during the last 2,000 years ( Yang, 1993 ; Zhang, Zhang & Pei, 2021 ), which corresponds with the increase of the meteorological disasters ( Fig. 3 ).…”
Section: Discussionmentioning
confidence: 93%
“…Human beings were vulnerable to drought, insect pests and other meteorological disasters due to the weak resistance to natural disaster and were mostly dependent on heaven for food ( Lee et al, 2017 ; Fang et al, 2015 ; Wan et al, 2017b ). Furthermore, household registration data, the historical population size in the middle and lower Yellow River showed a progressive population growth during the last 2,000 years ( Yang, 1993 ; Zhang, Zhang & Pei, 2021 ), which corresponds with the increase of the meteorological disasters ( Fig. 3 ).…”
Section: Discussionmentioning
confidence: 93%
“…The null hypothesis states that the means of different groups are equal, and the alternative hypothesis states that at least one of the group means is different from the others (Lee, 2008). It has been widely used in previous studies to determine the significant differences of population dynamics, frequencies of Malthusian population checks (Lee and Zhang, 2010;Lee and Zhang, 2013;Lee et al, 2016), and battle coordinates with a few categories of war defined (Zhang S et al, 2021) between warm and cold periods. In this study, the cultural end or start rather than the climatic phase was chosen as the independent ANOVA factor, while the coordinates of archaeological sites were input as the dependent ANOVA factor.…”
Section: One-way Analysis Of Variancementioning
confidence: 99%