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Dendrochronological Provenance Patterns. Network Analysis of Tree-Ring Material Reveals Spatial and Economic Relations of Roman Timber in the Continental North-Western Provinces Cover

Dendrochronological Provenance Patterns. Network Analysis of Tree-Ring Material Reveals Spatial and Economic Relations of Roman Timber in the Continental North-Western Provinces

Open Access
|Nov 2021

Figures & Tables

Table 1

The different laboratories that provided their measurement series (oak) for the research.

LABORATORYCOUNTRYRESEARCHERSSERIESLOCATIONSREMARKS
BAAC (Deventer)NetherlandsS. van Daalen599
Centre Européen d’Archéométrie – University of Liège (Liège)BelgiumJ. Eeckhout, P. Hoffsummer, D. Houbrechts, P. Hoffsummer1358
University of Freiburg, Chair of Forest Growth and DendroecologyGermany and FranceW. Tegel103554
Van Daalen Dendrochronologie (Deventer)NetherlandsS. van Daalen641
Labor für Dendroarchäologie – University of Cologne (Cologne)GermanyB. Schmidt4398From four places: Cologne, Koblenz, Oberaden & Xanten.
RING foundation (Amersfoort)Netherlands and BelgiumJulia Borquez, S. van Daalen, M. Domínguez-Delmás, D.M. Duijn, H. van Enkevort, A.E. Hanraets, N. van Helmond, E. Jansma, U. Sass-Klaassen, P. van Rijn, T. Vernimmen, R.M. Visser, Y.E. Vorst1933172Data includes measurement series that were collected institutes before the RING existed (Rijksdienst voor het Oudheikundig Bodemonderzoek (ROB), supervision: J.A. Brongers (1986-1991) and University of Amsterdam (UvA/IPP), supervision E. Jansma (1985–1993))
Vlaams Instituut voor Onroerend Erfgoed (VIOE, Brussels)BelgiumA. de Groot, K. Haneca517
Totals3006259
jcaa-4-1-79-g1.png
Figure 1

The find locations of the complete dataset (each data provider indicated with different colours). The published chronologies used are visualized as diamonds. The top-right histogram shows the number of available tree rings for the complete dataset (excluding published chronologies).

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Figure 2

The research model of this study.

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Figure 3

Network of the site chronologies from the ITRDB/Dendrobox (Zang 2015). On the left the nodes are coloured by continent on the right by species (for convention of species codes see Grissino-Mayer 1993).

jcaa-4-1-79-g4.png
Figure 4

Kernel density estimation of the geographic distances between nodes in the network (4) of site chronologies from the ITRDB (based on data from Zang 2015). On the left all species are shown, on the right only selected species. The selected species are Abies Alba (ABAL: 49 site chronologies), Pinus Sylvestris (PISY: 127 site chronologies), Picea abies (PCAB: 117 site chronologies) and Quercus sp. (QUSP: 67 site chronologies). The selection is made based on the frequency in the Dendrobox-dataset and the most often dendrochronologically analysed European tree species from archaeological contexts dating to the Roman period (see also Visser 2015).

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Figure 5

Histogram with the number of measurements per tree.

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Figure 6

Find locations of site chronologies (both published and my own) and material that was not grouped.

Table 2

The number of site-groups created.

SITE-GROUPSTREES
Oak (Quercus spp.)1782607
Ash (Fraxinus excelsior)984
Silver fir (Abies alba)732
Elm (Ulmus spp.)228
Spruce (Picea abies)14
Table 3

The network variables describing oak network types 1-4 for site chronologies, series and the combined networks of chronologies and series.

CHRONOLOGIESTREESCOMBINED
NETWORK-TYPE123412341234
Components7105610735983844234422
N13015115517112551741133117781551179416801927
E21428740748621755048266455292150350826344113
C0,2240,2560,3760,3600,1930,1680,2120,1850,0000,0000,0000,000
K3,5524,2665,5426,0644,0886,0374,6426,5052,9344,0343,3064,399
δ141212112920271922161616
jcaa-4-1-79-g7.png
Figure 7

The degree distribution of the networks of site chronologies on the left and the network of measurements series on the right. All exhibit a power-law distribution.

jcaa-4-1-79-g8.png
Figure 8

Histograms showing the count of distances between nodes, faceted per network degree for network type 1 (site chronologies).

Table 4

The number of communities and, between brackets, the total number of nodes in communities that were found in the networks of site chronologies using the Girvan-Newman algorithm (GN) and the Clique Percolation Method (CPM).

NETWORK TYPEGNCPM
k = 3k = 4k = 5k = 6k = 7k = 8
119)130)8(61)4(29)2(10)
219(151)7(76)5(41)2(15)
314(155)7(110)6(68)3(39)1(22)1(10)1(8)
415(171)8(122)8(86)3(42)2(29)1(13)1(8)
jcaa-4-1-79-g9.png
Figure 9

Communities as detected by applying the GN-algorithm in the network of means (network type 4).

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Figure 10

Communities as detected with the CPM for network type 4 (upper left: k = 3, upper right: k = 4, lower left: k = 5, lower right: k = 6).

jcaa-4-1-79-g11.png
Figure 11

The community GN_3 in network type 1 with the analytical network on the right and the spatial network on the left.

jcaa-4-1-79-g12.png
Figure 12

Provenance groups projected on the different GN-communities, network type 4 (see also Figure 8).

jcaa-4-1-79-g13.png
Figure 13

Network (type 1) with nodes coloured using a typology of sites, with the categories military, civilian, religious, natural and unknown/unclear. Military clusters are marked in transparent green.

jcaa-4-1-79-g14.png
Figure 14

A model to describe the Roman timber economy in relation to provenance of wood.

DOI: https://doi.org/10.5334/jcaa.79 | Journal eISSN: 2514-8362
Language: English
Submitted on: Jul 23, 2021
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Accepted on: Nov 8, 2021
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Published on: Nov 26, 2021
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2021 Ronald M. Visser, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.