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Modelling the Geographical Origin of Rice Cultivation in Asia Using the Rice Archaeological Database

Author

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  • Fabio Silva
  • Chris J Stevens
  • Alison Weisskopf
  • Cristina Castillo
  • Ling Qin
  • Andrew Bevan
  • Dorian Q Fuller

Abstract

We have compiled an extensive database of archaeological evidence for rice across Asia, including 400 sites from mainland East Asia, Southeast Asia and South Asia. This dataset is used to compare several models for the geographical origins of rice cultivation and infer the most likely region(s) for its origins and subsequent outward diffusion. The approach is based on regression modelling wherein goodness of fit is obtained from power law quantile regressions of the archaeologically inferred age versus a least-cost distance from the putative origin(s). The Fast Marching method is used to estimate the least-cost distances based on simple geographical features. The origin region that best fits the archaeobotanical data is also compared to other hypothetical geographical origins derived from the literature, including from genetics, archaeology and historical linguistics. The model that best fits all available archaeological evidence is a dual origin model with two centres for the cultivation and dispersal of rice focused on the Middle Yangtze and the Lower Yangtze valleys.

Suggested Citation

  • Fabio Silva & Chris J Stevens & Alison Weisskopf & Cristina Castillo & Ling Qin & Andrew Bevan & Dorian Q Fuller, 2015. "Modelling the Geographical Origin of Rice Cultivation in Asia Using the Rice Archaeological Database," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-21, September.
    • Handle: RePEc:plo:pone00:0137024
    DOI: 10.1371/journal.pone.0137024
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    Cited by:

    1. Philip Riris & Fabio Silva, 2021. "Resolution and the detection of cultural dispersals: development and application of spatiotemporal methods in Lowland South America," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-13, December.
    2. James Kai-sing Kung & Ömer Özak & Louis Putterman & Shuang Shi, 2020. "Millet, Rice, and Isolation: Origins and Persistence of the World's Most Enduring Mega-State," Departmental Working Papers 2016, Southern Methodist University, Department of Economics.
    3. Enrico R Crema & Junko Habu & Kenichi Kobayashi & Marco Madella, 2016. "Summed Probability Distribution of 14C Dates Suggests Regional Divergences in the Population Dynamics of the Jomon Period in Eastern Japan," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-18, April.
    4. Choi, Jaerim & Lim, Sunghun, 2023. "Ostrom Meets the Pandemic: Lessons from Asian Rice Farming Traditions," 97th Annual Conference, March 27-29, 2023, Warwick University, Coventry, UK 334543, Agricultural Economics Society - AES.

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