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Social responses to climate change in Iron Age north-east Thailand: new archaeobotanical evidence

Published online by Cambridge University Press:  26 October 2018

Cristina C. Castillo*
Affiliation:
University College London, Institute of Archaeology, 31–34 Gordon Square, London WC1H 0PY, UK
Charles F.W. Higham
Affiliation:
University of Otago, Anthropology and Archaeology, P.O. BOX 56, Dunedin 9016, New Zealand
Katie Miller
Affiliation:
University College London, Institute of Archaeology, 31–34 Gordon Square, London WC1H 0PY, UK
Nigel Chang
Affiliation:
James Cook University, College of Arts, Society and Education, TownsvilleQLD 4811, Australia
Katerina Douka
Affiliation:
Oxford Radiocarbon Accelerator Unit, Research Laboratory for Archaeology and the History of Art, Dyson Perrins Building, South Parks Road, University of Oxford, Oxford OX1 3QY, UK Max Planck Institute for the Science of Human History, Department of Archaeology, Kahlaische Strasse 10, D-07745 Jena, Germany
Thomas F.G. Higham
Affiliation:
Oxford Radiocarbon Accelerator Unit, Research Laboratory for Archaeology and the History of Art, Dyson Perrins Building, South Parks Road, University of Oxford, Oxford OX1 3QY, UK
Dorian Q Fuller
Affiliation:
University College London, Institute of Archaeology, 31–34 Gordon Square, London WC1H 0PY, UK
*
*Author for correspondence (Email: cristina.castillo@ucl.ac.uk)
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Abstract

New evidence from archaeological investigations in north-east Thailand shows a transition in rice farming towards wetland cultivation that would have facilitated greater yields and surpluses. This evidence, combined with new dates and palaeoclimatic data, suggests that this transition took place in the Iron Age, at a time of increasingly arid climate, and when a number of broader societal changes become apparent in the archaeological record. For the first time, it is possible to relate changes in subsistence economy to shifts in regional climate and water-management strategies, and to the emergence of state societies in Southeast Asia.

Information

Type
Research
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© Antiquity Publications Ltd, 2018
Figure 0

Figure 1 A) The location of the sites mentioned in the text: 1) Lake Kumphawapi; 2) Lake Pa Kho; 3) Ban Chiang; 4) Non Nok Tha; 5) Non Ban Jak (NBJ); 6) Noen U-Loke (NUL); 7) Ban Non Wat (BNW); 8) Angkor; 9) Khao Sam Kaeo; 10) Phu Khao Thong. B) Map showing the location of trenches excavated at BNW N96 (black arrow), K500 (grey arrow) and V200 (white arrow), contours in metres below the site datum.

Figure 1

Figure 2 The archaeological sequences in the key sites, together with the reconstruction of the palaeoclimate, after Wohlfarth et al. (2016).

Figure 2

Figure 3 Bayesian model of AMS results excavated from square N96 at Ban Non Wat. (OxCal v4.0.5 Bronk Ramsey (2009); IntCal13 atmospheric curve (Reimer et al. 2013)).

Figure 3

Figure 4 Graph plotting the estimated percentages of roots and modern specimens identified in samples from BNW N96.

Figure 4

Table 1 Botanical macroremains from Ban Non Wat trench N96. NSP refers to number of specimens, NISP to number of identified specimens.

Figure 5

Figure 5 Recovered rice plant parts at BNW N96 by sample.

Figure 6

Figure 6 Proportions of archaeological (BNW, NUL and NBJ) and modern rice grains classified as indica or japonica according to length/width ratio. Ratios <2 are probably japonica, whereas those >2.2 are probably indica. Charred specimens are shown below; details on the morphometric analysis can be found in Castillo et al. (2016b).

Figure 7

Figure 7 Relative frequencies of rice, dryland and wetland weeds from BNW N96. Relative frequency was calculated as the number of times a taxa occurred within a sample divided by the total number of specimens recovered from the sample. Relative frequency monitors the ‘magnitudes’ of past accidents of preservation (Sullivan 1987: 145). Proportions of taxa calculated using this method are dependent on the proportions of all the other taxa represented. Relative frequency does not account for spatial variation in the quantity of specific taxa recovered as samples are combined when proportions are calculated. Therefore, a single sample containing a large quantity of specific taxa can bias the representation of taxa across a site.

Figure 8

Figure 8 A) Charts from the regional sequences (BNW and NBJ), indicating the proportion of weeds in the archaeobotanical assemblages according to ecology, where ‘indeterminate’ includes weeds found in both dry and wet environments as well as those with no defined ecology; B) images of Diplacrum caricinum, a wetland weed, and Acmella paniculata, a dryland weed.

Figure 9

Figure 9 NISP per litre of A) Oryza; B) Diplacrum caricinum; and C) Acmella paniculata.

Supplementary material: File

Castillo et al. supplementary material

Tables S1-S4

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