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The Neolithic Transition in the Western Mediterranean: a Complex and Non-Linear Diffusion Process—The Radiocarbon Record Revisited

Published online by Cambridge University Press:  31 October 2018

C Manen*
Affiliation:
CNRS - UMR 5608 TRACES, Université Toulouse Jean Jaurès, 5 allées A. Machado 31058 Toulouse cedex 9, France
T Perrin
Affiliation:
CNRS - UMR 5608 TRACES, Université Toulouse Jean Jaurès, 5 allées A. Machado 31058 Toulouse cedex 9, France
J Guilaine
Affiliation:
Collège de France, 11 Place Marcelin Berthelot, 75005 Paris, France
L Bouby
Affiliation:
CNRS - UMR 5554 ISEM, Université Montpellier, Place E. Bataillon, 34095 Montpellier, France
S Bréhard
Affiliation:
4MNHN - CNRS, UMR AASPE (7209), case postale 56, 55 rue Buffon, 75005 Paris, France
F Briois
Affiliation:
EHESS - UMR 5608 TRACES, Université Toulouse Jean Jaurès, 5 allées A. Machado 31058 Toulouse cedex 9, France
F Durand
Affiliation:
INRAP - UMR 5608 TRACES, Université Toulouse Jean Jaurès, 5 allées A. Machado 31058 Toulouse cedex 9, France
P Marinval
Affiliation:
CNRS - UMR 5140, Université Paul Valéry, Route de Mende, 34199 Montpellier, France
J-D Vigne
Affiliation:
4MNHN - CNRS, UMR AASPE (7209), case postale 56, 55 rue Buffon, 75005 Paris, France
*
*Corresponding author. Email: claire.manen@univ-tlse2.fr.
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Abstract

The Neolithic transition is a particularly favorable field of research for the study of the emergence and evolution of cultures and cultural phenomena. In this framework, high-precision chronologies are essential for decrypting the rhythms of emergence of new techno-economic traits. As part of a project exploring the conditions underlying the emergence and dynamics of the development of the first agro-pastoral societies in the Western Mediterranean, this paper proposes a new chronological modeling. Based on 45 new radiocarbon (14C) dates and on a Bayesian statistical framework, this work examines the rhythms and dispersal paths of the Neolithic economy both on coastal and continental areas. These new data highlight a complex and far less unidirectional dissemination process than that envisaged so far.

Information

Type
Research Article
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
© 2018 by the Arizona Board of Regents on behalf of the University of Arizona
Figure 0

Figure 1 Geographic setting of the studied area and location of the archaeological sites related to the Neolithic transition. A: yellow circle: Late Mesolithic; yed circle: Early Neolithic; yellow circle with a red border: Late Mesolithic and Early Neolithic; gray circle: uncertain attribution. Map B: yellow circle: sites with 14C-dates; grey circle: undated sites; red star: sites dated in the framework of the Procome project; the named sites are those discussed in this paper. The histograms show on the left the dataset of radiocarbon dates available before the Procome project and on the right the dataset of radiocarbon dates of the Procome project (SLS: short-lived sample; LLS: long-lived sample).

Figure 1

Table 1 Set of the 14C dates obtained from eight settlements in the southwest of France and discussed in this paper. Calibration is with OxCal 4.2 using IntCal13 (Reimer et al. 2013). Criteria for evaluating the poor reliability of some dates are explained in the column “Comment on the result”: 1: Long-lived material and large standard deviation; 2: Too young for industry; 3: Laboratory physico-chemical results unacceptable. Full data are available in the supplementary material.

Figure 2

Figure 2 Calibrated probability distribution of radiocarbon dates from la grotte de l’Aigle c.5. OxCal v 4.3.2 Bronk Ramsey (2017); r:5 and IntCal13 atmospheric curve (Reimer et al. 2013). In gray, short-lived samples and dates obtained by AMS; in black, conventional methods of radiocarbon dating on long-lived samples.

Figure 3

Figure 3 The two Bayesian models of the Aigle Cave (events on the left part of each diagram, phases on the right; ChronoModel 2.0.4). At the bottom, posterior density distribution of each model. As there is only one event in the model A, it is not possible to calculate the beginning and the end of the phase. For the Model B, the density region of the beginning is the oldest. The areas below the curves represent the 95% highest posterior densities.

Figure 4

Table 2 At the top: modeled events of the Aigle cave. The number of associated dates is for each event indicated in brackets; e_HPD (95%), i.e. event’s highest posterior density interval at 95% confidence; e_MAP, event’s posterior mode. At the bottom: modeled phases of the Aigle cave. The number of associated events and dates for each event is indicated in brackets: D_HPD (95%), highest posterior density interval at 95% confidence of phase duration; D_MAP, posterior mode of phase duration; B_HPD (95%), highest posterior density interval at 95% confidence of phase beginning; B_MAP, posterior mode of phase beginning; E_HPD (95%), highest posterior density interval at 95% confidence of phase’s end; E_MAP, posterior mode of phase’s end. For the Model A, as there is only one event in the phase, it is not possible to calculate a duration, nor to distinguish a beginning and an end of phase.

Figure 5

Figure 4 Calibrated probability distribution of the radiocarbon dates from Balma Margineda c3. OxCal v 4.3.2 Bronk Ramsey (2017); r:5 and IntCal13 atmospheric curve (Reimer et al. 2013). These seven retained dates are on short-lived samples (domestic seeds and wild fruits).

Figure 6

Figure 5 Calibrated probability distribution of radiocarbon dates from Camprafaud c20-c18. OxCal v 4.3.2 Bronk Ramsey (2017); r:5 and IntCal13 atmospheric curve (Reimer et al. 2013). In gray, short-lived samples and dates obtained by AMS; in black, conventional methods of radiocarbon dating on long-lived samples.

Figure 7

Figure 6 Bayesian model of the Camprafaud Cave (events on the left part of the diagram, phases on the right; ChronoModel 2.0.4). At the bottom, posterior density distribution of the model. The areas below the curves represent the 95% highest posterior densities. Arrows indicate the stratigraphic constraints applied to the successive phases.

Figure 8

Table 3 At the top: modeled events of the Camprafaud cave. The number of associated dates is for each event indicated in brackets; e_HPD (95%), i.e. event’s highest posterior density interval at 95% confidence; e_MAP, event’s posterior mode. At the bottom: modeled phases of the Camprafaud cave. The number of associated events and dates for each event is indicated in brackets: D_HPD (95%), highest posterior density interval at 95% confidence of phase duration; D_MAP, posterior mode of phase duration; B_HPD (95%), highest posterior density interval at 95% confidence of phase beginning; B_MAP, posterior mode of phase beginning; E_HPD (95%), highest posterior density interval at 95% confidence of phase’s end; E_MAP, posterior mode of phase’s end. As there are only one event in each phases, it is not possible to calculate durations, nor to distinguish beginnings and ends of these phases.

Figure 9

Figure 7 Calibrated probability distribution of radiocarbon dates from La Corrège OxCal v 4.3.2 Bronk Ramsey (2017); r:5 and IntCal13 atmospheric curve (Reimer et al. 2013). In gray, short-lived samples and dates obtained by AMS; in black, conventional methods of radiocarbon dating on long-lived samples (the Gif-2748 date is not given here as it is much more recent). On the top, curve plot of the seven dates obtained on short-lived samples showing the plateaus effect on the spread of each calibrated date.

Figure 10

Figure 8 Calibrated probability distribution of radiocarbon dates from Pont de Roque-Haute. OxCal v 4.3.2 Bronk Ramsey (2017); r:5 and IntCal13 atmospheric curve (Reimer et al. 2013). In gray, short-lived domestic samples; in black, long-lived samples dated by AMS.

Figure 11

Figure 9 Bayesian model of Pont de Roque-Haute (events on the left part of the diagram, phases on the right; ChronoModel 2.0.4). At the bottom, posterior density distribution of the model. The density regions of the beginnings are the oldest. The areas below the curves represent the 95% highest posterior densities. Arrows indicate the stratigraphic constraints applied to the successive events.

Figure 12

Table 4 At the top: modeled events of Pont de Roque-Haute. The number of associated dates is for each event indicated in brackets; e_HPD (95%), i.e. event’s highest posterior density interval at 95% confidence; e_MAP, event’s posterior mode. At the bottom: modeled phases of Pont de Roque-Haute. The number of associated events and dates for each event is indicated in brackets: D_HPD (95%), highest posterior density interval at 95% confidence of phase duration; D_MAP, posterior mode of phase duration; B_HPD (95%), highest posterior density interval at 95% confidence of phase beginning; B_MAP, posterior mode of phase beginning; E_HPD (95%), highest posterior density interval at 95% confidence of phase’s end; E_MAP, posterior mode of phase’s end.

Figure 13

Figure 10 Calibrated probability distribution of radiocarbon dates from Peiro Signado. OxCal v 4.3.2 Bronk Ramsey (2017); r:5 and IntCal13 atmospheric curve (Reimer et al. 2013). In gray, short-lived domestic samples; in black, long-lived samples dated by AMS.

Figure 14

Figure 11 Bayesian model of Peiro Signado (events on the left part of the diagram, phases on the right; ChronoModel 2.0.4). At the bottom, posterior density distribution of the model. The density regions of the beginnings are the oldest. The areas below the curves represent the 95% highest posterior densities. As there are no stratigraphical links between the different structures, no stratigraphical constraints are drawn. The MC-1652 date, which is not correctly referenced, is not taken into account in the model.

Figure 15

Table 5 At the top: modeled events of Peiro Signado. The number of associated dates is for each event indicated in brackets; e_HPD (95%), i.e. event’s highest posterior density interval at 95% confidence; e_MAP, event’s posterior mode. At the bottom: modeled phases of Peiro Signado. The number of associated events and dates for each event is indicated in brackets: D_HPD (95%), highest posterior density interval at 95% confidence of phase duration; D_MAP, posterior mode of phase duration; B_HPD (95%), highest posterior density interval at 95% confidence of phase beginning; B_MAP, posterior mode of phase beginning; E_HPD (95%), highest posterior density interval at 95% confidence of phase’s end; E_MAP, posterior mode of phase’s end.

Figure 16

Figure 12 Calibrated probability distribution of radiocarbon dates from Le Taï. OxCal v4.3.2 Bronk Ramsey (2017); r:5 and IntCal13 atmospheric curve (Reimer et al. 2013).

Figure 17

Figure 13 View of the lower part of the Bayesian model for Le Taï (events on the left part of the diagram, phases on the right; ChronoModel 2.0.4). At the bottom, posterior density distribution of this part of the model. The density regions of the beginnings are the oldest. The areas below the curves represent the 95% highest posterior densities. Arrows indicate the stratigraphic constraints applied to the successive events or phases.

Figure 18

Table 6 At the top: modeled events of Le Taï. The number of associated dates is for each event indicated in brackets; e_HPD (95%), i.e. event’s highest posterior density interval at 95% confidence; e_MAP, event’s posterior mode. At the bottom: modeled phases of Le Taï. The number of associated events and dates for each event is indicated in brackets: D_HPD (95%), highest posterior density interval at 95% confidence of phase duration; D_MAP, posterior mode of phase duration; B_HPD (95%), highest posterior density interval at 95% confidence of phase beginning; B_MAP, posterior mode of phase beginning; E_HPD (95%), highest posterior density interval at 95% confidence of phase’s end; E_MAP, posterior mode of phase’s end.

Figure 19

Figure 14 Schematic representation of the new regional chronological sequences (i.e. based on the results of the modeling of each site) from the southwest of France and of their main contributions to Western Mediterranean Neolithisation issues.

Figure 20

Figure 15 Map of the Western Mediterranean sites where samples with short life cycles were dated between 5900 and 5750 cal BCE. Weighted cumulative histograms of the radiocarbon dates made on short-lived samples, see Supplementary Appendix 1).

Figure 21

Figure 16 Cumulative weighted histograms of the radiocarbon dates from the Impressa sites of Languedoc (Peiro Signado and Pont de Roque-Haute) and the sites of the French Cardial complex (short-lived samples, see Supplementary Appendix 2).

Figure 22

Figure 17 Cumulative weighted histograms of the radiocarbon dates from the Impressa sites of Languedoc and Eastern Provence, the Impressa and Early Cardial sites of Spain and of the French Cardial complex (short-lived samples, see Supplementary Appendix 3).

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