Modelling the geographical origin of rice cultivation in Asia using the rice archaeological database
Authors: Silva, F., Stevens, C.J., Weisskopf, A., Castillo, C., Qin, L., Bevan, A. and Fuller, D.Q.
Journal: PLoS ONE
Volume: 10
Issue: 9
eISSN: 1932-6203
DOI: 10.1371/journal.pone.0137024
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. Copyright:
https://eprints.bournemouth.ac.uk/31995/
Source: Scopus
Modelling the Geographical Origin of Rice Cultivation in Asia Using the Rice Archaeological Database.
Authors: Silva, F., Stevens, C.J., Weisskopf, A., Castillo, C., Qin, L., Bevan, A. and Fuller, D.Q.
Journal: PLoS One
Volume: 10
Issue: 9
Pages: e0137024
eISSN: 1932-6203
DOI: 10.1371/journal.pone.0137024
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.
https://eprints.bournemouth.ac.uk/31995/
Source: PubMed
Modelling the Geographical Origin of Rice Cultivation in Asia Using the Rice Archaeological Database
Authors: Silva, F., Stevens, C.J., Weisskopf, A., Castillo, C., Qin, L., Bevan, A. and Fuller, D.Q.
Journal: PLOS ONE
Volume: 10
Issue: 9
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0137024
https://eprints.bournemouth.ac.uk/31995/
Source: Web of Science (Lite)
Modelling the Geographical Origin of Rice Cultivation in Asia Using the Rice Archaeological Database.
Authors: Silva, F., Stevens, C.J., Weisskopf, A., Castillo, C., Qin, L., Bevan, A. and Fuller, D.Q.
Journal: PloS one
Volume: 10
Issue: 9
Pages: e0137024
eISSN: 1932-6203
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0137024
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.
https://eprints.bournemouth.ac.uk/31995/
Source: Europe PubMed Central
Modelling the Geographical Origin of Rice Cultivation in Asia Using the Rice Archaeological Database
Authors: Silva, F., Stevens, C.J., Weisskopf, A., Castillo, C., Qin, L., Bevan, A. and Fuller, D.Q.
Journal: PLoS One
Volume: 10
Issue: 9
ISSN: 1932-6203
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.
https://eprints.bournemouth.ac.uk/31995/
Source: BURO EPrints