Accepted Manuscript Landscapes, climate change & forager mobility in the Upper Paleolithic of northern Spain G.A. Clark, C. Michael Barton, Lawrence G. Straus PII:
S1040-6182(17)31347-2
DOI:
10.1016/j.quaint.2018.04.037
Reference:
JQI 7398
To appear in:
Quaternary International
Received Date: 5 October 2017 Revised Date:
12 April 2018
Accepted Date: 23 April 2018
Please cite this article as: Clark, G.A., Barton, C.M., Straus, L.G., Landscapes, climate change & forager mobility in the Upper Paleolithic of northern Spain, Quaternary International (2018), doi: 10.1016/ j.quaint.2018.04.037. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
Manuscript Details
ACCEPTED MANUSCRIPT
Manuscript number
QUATINT_2017_817
Title
Landscapes, Climate Change & Forager Mobility in the Upper Paleolithic of Northern Spain
Article type
Full Length Article
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Abstract
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Numerous studies have shown that the relative frequency of retouched pieces can help to distinguish forager mobility strategies amongst individual layers at a single site and, potentially, at multiple sites across regions (Riel-Salvatore & Barton, 2004; RielSalvatore et al., 2008; Barton & Riel-Salvatore, 2014). We use this proxy measure and other lines of evidence to evaluate Late Pleistocene human land-use practices from 47 Upper Paleolithic and Mesolithic sites in northern coastal Spain. To monitor mobility strategies we examine the proportion of retouched pieces to total lithics, focusing on backed pieces which probably served mostly as replaceable inserts in organic armatures for hunting weapons. Kuhn (1995) argued that foragers at some distance from a residential base would have had to rely on replaceable elements for the tools and weapons they carried with them. Assemblages with low total lithic densities but a high proportion of backed pieces would most likely represent the remains of short-term camps where hunting weapons were repaired in the field, whereas those with high lithic densities and relatively few backed pieces would likely represent residential bases where hunting weapons were manufactured. The analysis also links variation in lithic assemblages to paleoclimate and topography and uses 951 radiocarbon dates to identify demographic ‘pulses’ under the assumption that – ceteris paribus – the density of dates and the density of population are at least roughly linearly correlated with one another (French & Collins, 2015). Increases and decreases in regional population density can be detected and compared to episodes of climate change measured by the GISP2 and NGRIP2 ice cores over the Pleniglacial, Tardiglacial (MIS 2) and the early Holocene. Data insufficiencies, incomparable typologies, and adequacy of reporting are also discussed.
Upper Paleolithic; northern Spain; lithic assemblages; paleolandscapes; methodology; chronology
Corresponding Author
G. A. Clark
Corresponding Author's Institution Order of Authors
Arizona State University
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G. A. Clark, C Michael Barton, Lawrence Straus Harold Dibble, J. Emili Aura Tortosa, Iain Davidson, peter Hiscock, Shannon McPherron, Nuno Bicho, Jonathan Haws, Michael Bisson, Deborah Olszewski
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Suggested reviewers
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Keywords
Submission Files Included in this PDF File Name [File Type]
QI cover letter 9-22-17.doc [Cover Letter] Response to Reviewers’ Comments 04-02-18.doc GAC et al. Straus QI 04-10-18.docx [Manuscript] File] 54609-30014120.docx.pdf [Author Agreement] S1. Solutrean – Old Collections (Straus 1975).xlsx [Table] S2. Site Locations – Elevation, Distance to Modern and Last Glacial Coasts; Longitude & Latitude.xls [Table] S3. Barton, Clark & Straus.doc [URL: https://zenodo.org/record/1215819] [e-Component] NB: this document contains the date [V0, S3] and lithic [V0, S4] data.
MANUSCRIPT Submission Files Not Included inACCEPTED this PDF (none) File Name [File Type] S3. FINAL UP dates CMB format 7-8.xls [Table] S4. FINAL UP lithics CMB format.xlsx [Table]
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To view all the submission files, including those not included in the PDF, click on the manuscript title on your EVISE Homepage, then click 'Download zip file'.
ACCEPTED MANUSCRIPT Research Data Related to this Submission
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There are no linked research data sets for this submission [URL: https://zenodo.org/record/1215819]. The following reason is given: We DO intend to upload all research data (i.e., Supplements 1-4) to the internet but have not yet assigned a URL to it.
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21 September, 2017
This is a letter of conveyance for the manuscript:
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Min-Te Chen Editor-in-Chief Quaternary International
Landscapes, Climate Change & Forager Mobility in the Upper Paleolithic of Northern Spain (G. A. Clark, C. Michael Barton & Lawrence G. Straus) Submitted for possible publication in: Honor of Lawrence Guy Straus
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The manuscript is a logical progression from Clark and Barton (2017) where we published an application of a new package of methods called whole assemblage behavioral indicators (WABI) to a single site, La Riera (Asturias, Spain), an Upper Paleolithic and Mesolithic cave site dated from >20 to c. 9 ka BP. Developed by C. Michael Barton and Julien Riel-Salvatore (2004) to assess forager mobility in the remote past, WABI is a powerful and general approach that makes use of data commonly available in many archaeological site reports. The analysis showed that La Riera was a residential basecamp over much of its long occupation.
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Here we apply WABI to the Upper Paleolithic of northern coastal Spain (Asturias, Cantabria, and the Basque Country), a data set comprising 205 archaeological assemblages, 790,184 stone artifacts from 47 Upper Paleolithic sites dating from the Last Glacial Maximum (LGM), Tardiglacial and early Holocene (~42-7 ka BP). As in the earlier paper, patterns in the WABI analysis are then juxtaposed with the relevant parts of the GISP2 and NGRIP2 ice cores to try to determine the extent to which episodes of climate change correlated with changes in mobility strategies. Time, considered a reference variable used to measure change attributable to other causes, is monitored by 951 radiometric dates from 157 sites. These are among the largest data bases ever compiled for a regional Upper Paleolithic sequence anywhere in the world.
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Results indicated reasonably good correspondence with episodes of climate change, that climate change was a significant factor driving changes in site function, and that – like La Riera – residential bases were concentrated along the coastal plain in Asturias and Cantabria, but less so in Vizcaya and Guipúzcoa where the coastal plain is practically non-existent. Curated assemblages indicative of short-term camps were bimodally or trimodally distributed on the footslopes and piedmont of the Cordillera, occasionally at high elevations. Expedient assemblages were mostly confined to the lowlying coastal plain.
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Potential reviewers are: Michael Bisson (
[email protected]), Harold Dibble (
[email protected]), Shannon McPherron (
[email protected]), Peter Hiscock (
[email protected]), Emili Aura (
[email protected]), Nuno Bicho (
[email protected]), Deborah Olszewski (
[email protected]), Iain Davidson (
[email protected]) and Jonathan Haws (
[email protected]). Please do not send it to Paul Mellars, William Davies, Ofer Bar-Yosef, João Zilhão, Bruno Bosselin or François Djindjian. The manuscript submitted is complete except for the Acknowledgements. We will add them at a later stage, assuming the manuscript is accepted for publication. continued . . .
GEOFFREY A. CLARK, PH.D. REGENTS’ PROFESSOR School of Human Evolution & Social Change PO Box 872402, Tempe, AZ 85287-2402 Tel.: (480) 965-7596, Fax: (480) 965-7671, e-mail:
[email protected]
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Thank you for your consideration. Please let us know if any additional information is required. With best wishes,
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5 Geoffrey A. Clark, Ph.D. Regents’ Professor Emeritus
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cc: GAC CMB LGS
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Clark, G. A., Barton, C. M. 2017. Lithics, landscapes and la longue durée – curation and expediency as expressions of forager mobility. Quaternary International 450: 137-149. Miller, A., Barton, C. M. 2008. Exploring the land: a comparison of land-use patterns in the Middle and Upper Paleolithic of the western Mediterranean. Journal of Archaeological Science 35, 1427-1437.
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Riel-Salvatore, J., Barton, C. M. 2004. Late Pleistocene technology, economic behavior, and land-use dynamics in southern Italy. American Antiquity 69, 257-274.
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Response to Reviewers Comments QUATINT_2017_817 – Clark, Barton & Straus
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(1) sample issues – open sites not included: That our data are derived almost exclusively from caves and rock shelters is simply a consequence of the emphasis on those kinds of sites in the regional research tradition. In other words, there haven’t been a lot of surveys so there isn’t a lot of data on open sites. Moreover, despite 150 years of research and lots of industrial, residential and infrastructure excavations, very few open-air sites have been found. While they clearly existed, they are either buried under meters of post-Pleistocene colluvium and/or, because of the steep terrain, eroded away by slopewash and other geological processes. Given the focus on the Upper Paleolithic, when wet, cold climates prevailed, most sites with longer occupations would likely have been in low-lying coastal caves and rock shelters anyway (i.e., we would expect to find a predominance of ‘expedient’ assemblages there, and we do). We acknowledge that at least the early part of the Gravettian was much colder than today.
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(2) data from classic sites: as an example, we have these data for the Solutrean (compiled from Straus, 1975, 1992). We can include them as a supplement (I attach them here).
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(3) data on raw material: we acknowledge that to include raw material types would be interesting to do, but to source them would require an enormous amount of additional research. For a meta-analysis of published material like this paper, reviewing raw material information would be partial at best because raw material data are lacking from most publications [even some modern ones] and, with the exception of La Riera, none of these data are quantified. Moreover, there has been little systematic study of potential sources of raw material (though very recent efforts in this direction are encouraging). To make this change is neither feasible nor possible, and to attempt to do it would delay publication enormously.
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(4) definition of retouched pieces: As a meta-analysis of published information, we rely on the assessment of the original excavator and/or analysts for artifact classification. Most often, the Bordesian Upper Paleolithic typology, originally defined by de Sonneville-Bordes & Perrot, was the ‘post-1970 standard’ adopted by practically all workers up to the present. The interpretation of these types varies from one investigator to the next and there is no way to extract more refined definitions from the publications. None of the monographs or papers from which we have drawn data reports the number of flake scars on formal ‘tools.’ An advantage of the WABI approach used here is that we group all retouched tool types together, avoiding a great degree of inter-analyst variation in detailed classification of individual types.
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(5) backed tools: again, we could only use individual investigators’ definitions of backed pieces (usually backed, sometimes truncated or pointed bladelets with unidirectional or bidirectional abrupt retouch). Some workers adhered to very strict definitions, others not so much. Again, the WABI approach disregards these differences and groups all backed pieces together as indicative of some kind of hafted, multipcomponent weapons. Additionally, in Figure 2, we have indicated the relative frequency of backed pieces among retouched pieces (Ib.b, where reported) to show that they do not weight overall retouch frequencies to generate high values.
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Rather, the assemblages with the highest frequencies of backed pieces coincide with lower retouch frequencies rather than higher values.
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(6) high & low retouch frequency: defined in the manuscript as >10% = curated, <10% = expedient, including both backed pieces and overall retouch. This division was made for convenience in differentiating among assemblages. Density plots of retouch frequency by techno/typological industries showed a significant drop in this measure between 0.1 and 0.2. We picked the conservative value of 0.1 as a dividing point. Keep in mind that ‘curated’ and ‘expedient’ are continua.
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(7) size & quantity of retouched pieces: this is primarily a function of whether or not graded screening was used. At La Riera we used water screening through fine mesh, resulting in the recovery of hundreds of backed bladelets, essentially re-defining the Solutrean. Fine screening was also used at El Mirón, no doubt accounting for the thousands of microliths and other tiny artifacts recovered there. Generally, most workers did not screen artifacts at all until after the 1980s. Many ‘modern-era monographs are based on unscreened data. The most likely effects for the kinds of analyses performed here are underrepresentation of the number of backed pieces in some assemblages. Even with screening, most published sources do not include tiny lithic debris (shatter) in debitage counts.
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(8) raw material availability: varies considerably over the study area. In contrast to the Dordogne, fine-grained crypto-crystalline rocks (cherts, flints) only occur as small pebbles – generally of low quality – in riverbeds in Asturias and Cantabria. Consequently most bladelets are of flint/chert, whereas larger tools tend to be made of fine-grained quartzite.
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(9) ecological knowledge of task groups: because there are many unforeseen contingencies that affect hunting parties, we disagree that task groups dispatched from residential camps would necessarily know the location of suitable raw material. Also, they might know raw material locations, but find themselves far from them. Additionally, individually provisioned, far-ranging task groups would have tried to minimize carrying any unnecessary weight of heavy cryptocrystalline rock (so that they could carry back game or other resources). It seems more reasonable to think they carried bladelets with them to refit broken or lost elements in wooden, bone or antler armatures.
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(10) the Asturian (pp. 10-13): Given the valid issues about sampling error raised by reviewers, we decided to delete the Asturian because it is early Holocene, generally considered Mesolithic, and so lies outside the scope of the study. (11) use of lithics after the Stone Age (pg. 14): there is a body of literature that supports the continued use of lithic technologies up through the Roman Iron Age (in fact, they were used in threshing sledges up until the 1960s) (Clark [1987] – this is a universal phenomenon [see Rosen [1997]). Chipped stone technologies persisted through the Neolithic, being replaced only gradually over long periods of time. In other words, there is no sharp division between the Mesolithic, on the one hand, and the Neolithic, on the other.
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(12) use of wild species after the Stone Age (pg. 14): see above – deer, boar, etc. were hunted throughout history in northern Spain, even in societies dependent on domesticated plants and animals. Boar hunting is popular today on the Meseta del Norte; venison and wild boar are available throughout northern Spain in the finer restaurants. How the Neolithic is defined is subtended by this issue. If there is no evidence of domesticated species in a (dated) site, it is assumed to be Mesolithic. Some defined the Neolithic by the presence of pottery. (13) Gravettian relatively cold?: it could be argued that the early Gravettian is cold, and we have edited the ms accordingly.
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G. A. Clark C. Michael Barton Lawrence G. Straus
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(14) broken vs complete retouched pieces: we cannot answer this question because different workers often do not provide this information. Unfortunately, there is no consensus as to whether or not this distinction is, or should be made, nor whether it is important. We believe it is general practice to include fragments of identifiable artifacts in most analyses. Unfortunately, Paleolithic archaeology lacks a ‘meta-language’ (like math in physics) that is the consensus basis for its logic of inference. Consequently, much of Paleolithic archaeology consists of narratives, rather than inference defined by consensus. We suggest that an explicit concern with the logic of inference underlying knowledge claims is a critical component of a ‘science-like’ archaeology. This paper is a first step – admittedly imperfect – in providing that. Finally, since the great majority of lithics recovered in archaeological sites were discarded as unwanted by the prehistoric occupants of these locales, whether or not a heavily reused and/or exhausted piece was or was not ‘complete’ (in the archaeologically aesthetic sense) is probably not particularly relevant to the kind of WABI analysis we conducted here.
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Version 1 (revised), 10 April, 2018
Landscapes, Climate Change & Forager Mobility in the Upper Paleolithic of Northern Spain
Authors:
G. A. Clark1 –
[email protected] C. Michael Barton1 –
[email protected] Lawrence G. Straus2 –
[email protected]
Addresses:
Arizona State University School of Human Evolution & Social Change P. O. Box 872402 Tempe, AZ 85287-2402 U. S. A.
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Title:
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University of New Mexico Department of Anthropology MSC01 1040 Albuquerque, NM 87131-0001 U.S.A.
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Corresponding Author: G. A. Clark Key Words: Upper Paleolithic northern Spain lithic assemblages paleolandscapes methodology chronology cave sites
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Numerous studies have shown that the relative frequency of retouched pieces can help to distinguish forager mobility strategies amongst individual layers at a single site and, potentially, at multiple sites across regions (Riel-Salvatore & Barton, 2004; RielSalvatore et al., 2008; Barton & Riel-Salvatore, 2014). We use this proxy measure and other lines of evidence to evaluate Late Pleistocene human land-use practices from 47 Upper Paleolithic and Mesolithic sites in northern coastal Spain.
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To monitor mobility strategies we examine the proportion of retouched pieces to total lithics, focusing on backed pieces which probably served mostly as replaceable inserts in organic armatures for hunting weapons. Kuhn (1995) argued that foragers at some distance from a residential base would have had to rely on replaceable elements for the tools and weapons they carried with them. Assemblages with low total lithic densities but a high proportion of backed pieces would most likely represent the remains of short-term camps where hunting weapons were repaired in the field, whereas those with high lithic densities and relatively few backed pieces would likely represent residential bases where hunting weapons were manufactured. The analysis also links variation in lithic assemblages to paleoclimate and topography and uses 951 radiocarbon dates to identify demographic ‘pulses’ under the assumption that – ceteris paribus – the density of dates and the density of population are at least roughly linearly correlated with one another (French & Collins, 2015). Increases and decreases in regional population density can be detected and compared to episodes of climate change measured by the GISP2 and NGRIP2 ice cores over the Pleniglacial, Tardiglacial (MIS 2) and the early Holocene. Data insufficiencies, incomparable typologies, and adequacy of reporting are also discussed. 1. Introduction
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Abstract
This paper deploys a package of methods called whole assemblage behavioral
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indicators (WABI) to assess changes in forager mobility in the remote past (Barton,
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1998; Riel-Salvatore and Barton, 2004). Rooted in the work of Binford (1980), Kelley
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(1983, 1992), Kuhn (1992, 1994, 1995), Bamforth (1986), Bleed (1986) and others, and
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used successfully in the analysis of hundreds of Stone Age assemblages in Italy (Riel-
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Salvatore & Barton, 2004), Spain (Barton, 1998; Barton et al., 2013; Clark & Barton,
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2017), the western Mediterranean (Barton et al., in press), Europe (Barton et al., 2011),
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and even Australia (Hiscock, 2007), WABI is a powerful and general approach that
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makes use of the kinds of data commonly available in ‘modern era’ and even some
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older, legacy archaeological site reports. It is applied here to 205 assemblages totaling
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790,184 artifacts from 47 Upper Paleolithic sites in northern Spain dating to the last
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Glacial Maximum (LGM), Tardiglacial and Early Holocene (>20-7 ka BP). Mobility,
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resource distributions, climate change and landscape evolution are primary variables.
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Time, as measured by 951 radiometric dates from 157 sites, is a reference variable
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used to identify and assess changes attributed to other causes (i.e., change does not
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occur simply because of the passage of time). Climate change and its effects on
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resource distributions and, consequently, forager mobility strategies are shown to be
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significant factors driving changes in site function. WABI can also be used to assess
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changes in mobility at intrasite, local, regional (as here) and supra-regional scales
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(Clark & Barton, 2017, Riel-Salvatore et al. 2008; Barton et al., 2011, 2013) and can be
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adapted to surface sites with little or no stratigraphy so long as random samples are
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available (Miller & Barton, 2008).
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The focus here is on caves and rockshelters at the regional scale since there are very few open-air Upper Paleolithic sites known in Cantabria (Cabo Busto, Bañugues)
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and in the Basque country (Ametzagaina, Irkaitz), and even fewer have been published
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(Arrizabalaga et al., 2015). That our data are derived almost exclusively from caves and
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rockshelters is simply a consequence of the emphasis on those kinds of sites in the
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regional research tradition. There haven’t been a lot of surveys in Vasco-Cantabria so
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there isn’t a lot of data on open sites. Moreover, despite 150 years of research and
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many industrial, residential and infrastructure excavations, very few open-air sites have
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been found. While they clearly existed, they are either buried under meters of post-
241
Pleistocene colluvium and/or, because of the steep terrain, eroded away by slopewash
242
and other geological processes. Given the focus on the Upper Paleolithic, when wet,
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cold climates prevailed, most sites with longer occupations would likely have been in
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low-lying coastal caves and rock shelters anyway (i.e., we would expect to find a
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predominance of ‘expedient’ assemblages there, and we do).
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Our initial objective is to discriminate sites, and assemblages within sites, in
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terms of their gross functions – more specifically, whether they were – on average –
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longer term residential bases, characterized by a range of activities, or whether they
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were – on average – limited activity stations, sites or assemblages of short duration
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perhaps best conceptualized as overnight camps. We develop and justify two sets of
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archaeological ‘signatures’ that monitor duration and type of site occupation based on
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the concepts of expedient and curated behavior. We argue that, with very few
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exceptions, archaeological sites and their constituent assemblages are never ‘pristine’,
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and that they represent the conflated activities of multiple groups of people who were
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seldom, if ever, contemporaries. Within the resolution of even the most carefully
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excavated sites, the contents of levels are therefore palimpsests, composites of the
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activities of these groups repeated over and over again, such that an individual stratum
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might indicate one or several functional types, whereas the site sequence as a whole
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might or might not indicate the predominance of one functional type over others. In
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order to isolate the finest analytical unit possible, the analysis is conducted on an
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assemblage-by-assemblage basis.
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Site functional analyses are then juxtaposed with the relevant parts of the ice
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core record for Late Glacial paleotemperatures (e.g., GISP 2) to try to determine the
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extent to which behavioral changes documented in the lithic assemblages correspond to
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macroclimatic changes documented in the cores. Against the backdrop of macroclimatic
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change, these comparisons are carried out at the level or scale of paleolandscapes with
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site stratigraphies divided into analytical units according to the conventional typological
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systematics used by the excavators (e.g., Solutrean, Magdalenian – see Bordes [1974],
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Bordes & de Sonneville-Bordes [1970]) . While these analytical units may indicate
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changes in technology – primarily hunting technology (e.g, backed bladelets, foliate or
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notched points, antler points, harpoons) and sometimes associated processing activities
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– so far as human adaptation is concerned, no particular social significance can be
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attributed to these groupings (see, e.g., Straus & Clark, 1986; Clark & Barton, 2017). In
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fact, episodes of accelerated change signaling shifts in adaptation often appear to
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cross-cut or behave independently of culture-stratigraphic unit boundaries.
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2. Retouched Stone Artifacts Retouched pieces have been used historically to identify the mental templates
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according to which ancient peoples made stone tools (e.g., Bordes, 1953; Hours et al.,
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1973), an approach based on the assertion that pattern in the Paleolithic is best
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(although not exclusively) apprehended by artifact typology. The form of stone tools is
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interpreted as the tangible remains of technological and/or typological traditions held in
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common by identity conscious groups of people and transmitted from one generation to
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the next through a process of social learning. Retouched stone artifacts are, therefore,
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taken to be the products of intentional design (see Clark & Riel-Salvatore [2006, 2009]
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for an extended critique). The typological paradigm began to collapse in the mid-1980s
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when Dibble (1987, 1995) showed that the shapes of Middle Paleolithic sidescrapers
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probably represented no more than modal points along a continuum of morphological
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variation determined only by the size and shape of the original blank and the extent to
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which it had been retouched before it was lost or discarded. This argument was
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subsequently extended to the Upper Paleolithic, and then generalized to include most
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retouched tools (Sackett, 1988; Barton, 1991), thus largely discrediting the notion that
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there was much design specificity in their manufacture (Clark, 2009). In short, what
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were perceived to be discrete types might, more often than not, simply represent
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successive stages in the modification of a single generalized tool and/or minor
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alterations in form primarily determined by variations in blank morphology. What is
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usually found in archaeological contexts are the broken, worn-out, exhausted remnants
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of flakes, blades and cores that have reached the end of their ‘use-lives’, no longer able
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to be extended by further modification (see also Bleed, 2001; Hiscock, 2007; Holdaway
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& Douglass, 2012).
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2.1 Curation & expediency – their behavioral implications Although there are obvious exceptions (e.g., Solutrean points), the main
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consequence of this ‘paradigm shift’ is that the ratio of retouched pieces to overall
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artifact frequency corrected for volume of sediment excavated is presently viewed by
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some workers as an index of site function and, more specifically, of the degree of
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mobility and the duration of site occupation (e.g., Stiner 1994, Kuhn, 1995; Riel-
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Salvatore & Barton, 2004; see Clark & Riel-Salvatore [2006], Culley et al. [2013] for
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critical reviews of conventional systematics). This is the perspective adopted here.
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The incidence of retouch offers a measure of relative residential stability, or lack
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thereof, and the incidence of retouched pieces scaled to artifact density will give some
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indication of the relative importance of curated and expedient assemblages. Derived
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ultimately from Kuhn’s work on the Mousterian (1992), a higher incidence of retouch
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indicates provisioning of individuals in the context of greater residential mobility, smaller
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groups, shorter duration of site occupation, low lithic densities, and many retouched
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pieces relative to the amount of débitage. Although strongly influenced by the
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characteristics of the regional topography (Marks & Freidel, 1977; Clark 1984, 2016),
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residential mobility is more common in landscapes where resources are consistently
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and predictably distributed in space and time, but not in particularly dense or high
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caloric return patches. Among recent foragers, these contexts usually are found in
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tropical to subtropical latitudes (Kelly, 1995; Grove, 2009, 2010), often in xeric
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environments (Clark, 2016). Because they move regularly from one resource patch to
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another, residential foragers would have had to rely upon the tools they could carry with
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them, perhaps also signaling increased use of compound weapons that could be
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‘refitted’ in the field. We usually do not find these small, transient and ephemeral
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campsites, but rather the basecamps where tool stone could be stockpiled and where
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their durable elements – microliths – were manufactured. Such assemblages have been
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described by Binford (1982) as ‘curated’ and are typical of the group fission phase in the
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driest seasons of an annual cycle.
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Conversely, a high incidence of cores and débitage coupled with a low incidence of retouched pieces have been characterized as ‘expedient’ assemblages (Nelson, 1991).
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In terms of mobility and land-use, expedient assemblages often indicate a reduced need
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for conserving behaviors due to greater residential stability and a longer duration of site
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occupation, when the locations of raw material sources are known and can be
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stockpiled in anticipation of future needs – provisioning places instead of individuals
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(Kuhn 1992). Such residential camps are often bases for logistical mobility (Binford,
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1980, 2001), which tends to be more common among ethnohistoric foragers at higher
338
latitudes and under ecological conditions of patchy, high-return resources distributed
339
over a large geographic area and somewhat unpredictable in space and time. (Table 1).
340
We emphasize that ‘curated’ and ‘expedient’ refer to conceptually opposite ends of
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a continuum, and that few – if any – assemblages are ever wholly curated or wholly
342
expedient. That said, it should nevertheless be possible to array a series of
343
assemblages along that continuum and draw some conclusions about the ratio of one
344
kind of assemblage to the other within a single site sequence, across many site
345
sequences, and within and across regions. This analysis is conducted at the scale of
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346
the region, Cantabria, comprising the Principality of Asturias, the autonomous
347
Community of Cantabria, and the Basque provinces of Vizcaya and Guipúzcoa. Based on an archaeological record compiled over 240 years of research (Straus
349
1992), assemblages from northern Spain are heavily skewed toward residential bases
350
of logistical hunter-gatherers, characterized by expedient lithic assemblages. A key
351
element of a logistical land-use strategy is the deployment of small task groups from a
352
residential base to locate specially targeted resources and return them to the base
353
camp. With respect to lithics, these task groups resemble residential foragers. Because
354
they often must travel for several days from the residential base, especially when
355
hunting high-return ungulates, they might find themselves in unfamiliar territory far from
356
suitable tool stone. This is a strategy for provisioning these highly mobile individuals
357
with redundant, reliable, flexible, lightweight, polyvalent tool kits (e.g., replaceable
358
elements in compound tools) in order to minimize risk under conditions of uncertainty.
359
With respect to Upper Paleolithic hunting technology, the remains of their small and
360
ephemeral campsites would have yielded lots of backed and otherwise retouched
361
bladelets and few large and heavy cores, large flakes and blades relative to those found
362
in residential bases. Below we treat levels yielding highly curated lithic assemblages as
363
most likely the remains of overnight or other short-term camps produced by task groups
364
deployed from residential bases with expedient assemblages found on the low and
365
narrow coastal plains of eastern Asturias and western Cantabria, and in the moderate
366 367 368
elevations of the footslopes of the Cordillera that abut them to the south.
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3. Limitations on WABI Applications It should be kept in mind that WABI is a meta-analysis – a statistical approach
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370
that combines the results of multiple studies to uncover a pattern common to all
371
analytical units but that is acknowledged to have a certain amount of error within
372
individual studies. The objective is to derive approximations of that pattern, assess the
373
amount of error, determine its statistical significance and its effect on pattern (Glass,
374
1976; Walker et al., 2008). Despite its power, general utility and relatively simple
375
structure, a complete WABI analysis requires data that are seldom recorded in pre-1990
376
site reports and are often incomplete even in those published after 2000. Because this
377
is so, it usually becomes necessary to simplify data requirements and adjust the
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analytical format accordingly. Data requirements for a complete WABI scenario are
379
given in Table 2. Archaeological examples that approximate a complete WABI scenario
380
include a pioneering study by Parry and Kelley (1987) using New World data that
381
showed statistically significant correlations between lower mobility and a lower
382
incidence of retouch, on the one hand, and higher mobility and more retouch, on the
383
other. In analyses of nearly 200 Pleistocene assemblages from sites across Europe and
384
Asia, in diverse depositional, geographic, and temporal contexts, LVD and retouch
385
frequency consistently displayed a statistically significant negative correlation
386
(Villaverde et al., 1998; Riel-Salvatore and Barton, 2004, 2007; Sandgathe, 2006; Clark,
387 388 389
2008; Riel-Salvatore et al., 2008; Barton et al., 2013; Kuhn and Clark, 2015).
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3.1 Lithic data from old excavations
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Published research on the Vasco-Cantabrian Upper Paleolithic extends back to the beginning of the 20th century (e.g., Vega del Sella 1914, 1915; Obermaier, 1924;
392
see Straus [1992] for summaries). An effort was made to utilize some this information
393
here but, with rare exceptions, those data proved to be inadequate. At a bare minimum,
394
lithic and retouched totals are required; estimates of area excavated and level thickness
395
are also important. Bias factors include the unstandardized typologies used prior to the
396
1960s, a tendency to retain only retouched pieces (and often only the best examples of
397
those), a posteriori reconstitution of normative culture stratigraphic units (‘cultures’)
398
according to (largely French-derived) preconceptions about what they should look like;
399
large, deep ‘pick-and-shovel’ excavations by untrained (and often unsupervised)
400
laborers, a near total absence of screening, selective artifact collecting, and the practice
401
of distributing belles pièces to other workers, thus compromising the integrity of the
402
collections. While from a modern perspective these empirical insufficiencies are deeply
403
problematic, it is important to keep in mind that self-taught amateur archaeologists were
404
responsible for most of this research, that they published the results of their
405
excavations, and were operating according to the accepted standards of the time.
406
Compiled from Straus (1975), Table S1 presents data from 36 Solutrean sites
407
excavated prior to 1970. Notice the very large areas excavated, the low lithic totals, the
408
exceptionally high incidence of retouched pieces, and the paucity of retouched
409
bladelets. Except for data on site location and setting, the collections are so heavily
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410
selected as to be useless for our purposes. It is perhaps surprising that many modern-
411 412 413
era site reports also suffer from these deficiencies. 4. Forager Mobility – the Lithic Evidence Lithic data were compiled for 205 Upper Paleolithic and Mesolithic assemblages from
415
47 sites (Figure 1). Tabulated data for this analysis and the radiocarbon analyses discussed
416
below are available in Table 2 and at Table S3 [https://zenodo.org/record/1215819],
417
(Barton et al., 2018). Given the range of variables required for a complete LVD analysis
418
(Table 1), it should be kept in mind that many site reports contain lacunae – missing data
419
that sometimes precludes an assessment of site- or level-specific function. Taking these
420
considerations into account, Table 3 identifies the 17 sites and 80 assemblages for which
421
retouch frequency could be computed; an additional four sites (28 assemblages) contain
422 423 424
lithic and retouch totals but lack any volumetric data.
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4.1 Retouched Frequency & Culture/Stratigraphic Units
The following discussion is based on the retouched frequencies cross-classified by culture/stratigraphic (C/S) unit, elevation, and distance to the modern and LGM
427
shorelines. Three types of analyses were conducted: (1) retouch frequency by C/S unit,
428
ignoring the C/S unit subdivisions; (2) retouch frequency by elevation and period, and (3)
429
minimum (i.e., straight line) distances to the modern and LGM coasts. Table 4 shows the
430
corresponding statistics upon which the box and scatter plots are based.
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The incidence of retouch cross-classified by analytical units and by geographic
432
location are given as box and scatter plots in Figures 2 and 3 respectively. So far as
433
retouch by analytical unit is concerned, if 10% is used as a somewhat arbitrary, but
434
empirically derived division between relatively curated (above) and highly expedient
435
assemblages (below) the 28 Early Upper Paleolithic (EUP = Châtelperronian,
436
Aurignacian, Gravettian) assemblages have a median value of c. 10.7% retouch and
437
show a perfectly even distribution between the two, albeit with the expedient
438
assemblages more clustered between 5% and 10% and the curated ones extended up
439
to as much as 40%. Five assemblages are almost certainly curated (≥ 20%) (22.2-
440
39.3%); there is a strong outlier at c. 39.3%. The 29 Solutrean assemblages show the
441
tightest clustering of all but with a lower incidence of retouch (median = c. 5.0%
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retouch). Sites with arguably expedient assemblages are weakly dominant (12:11); four
443
assemblages lie directly on the 10% line. Three assemblages are clearly curated, again
444
with a marked outlier at c. 38.8%. Like the EUP assemblages, the 25 Lower and Middle
445
Magdalenian (L/M) assemblages (median = 3.2%) again show a perfectly even
446
distribution (12:12) but, again, with tight clustering between about 5% and 7%. A single
447
level lies directly on the median. There is a sharp break between the Solutrean and L/M
448
Magalenian, on the one hand, and the Upper Magdalenian and Azilian, on the other,
449
with much wider dispersion, suggesting a fundamental change in site function – at least
450
at intervals – when compared with the earlier units. Although the 10 Upper Magdalenian
451
assemblages have a nearly even numerical distribution, the median is closer to that of
452
the EUP (c. 10.7 versus 13.3%), whereas those of the Solutrean and L/M Magdalenian
453
are much lower (5.0%, 3.2% respectively). However, there are substantially fewer
454
assemblages (10) and they vary considerably more than the EUP or L/M Magdalenian
455
assemblages. There are only two curated assemblages, one of which is a marked
456
outlier at 56%. Three assemblages lie on the median. The ratio of curated to expedient
457
assemblages is 4:3. So far as the Azilian is concerned, the overall configuration is the
458
same as that of the Upper Magdalenian but with better separation. Six assemblages fall
459
into the expedient range, vis à vis five in the curated (≥ 10%) part of the graph. A single
460
assemblage falls on the median and there is only a single outlier, albeit at about 60.1%,
461
the highest in the series. The medians of the UP and the Azilian are very similar (10.7%,
462
12.2% respectively).
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With only three assemblages (one at each of three sites), the Asturian shows one unambiguous curated level (retouch frequency c. 35%); the other two are more
465
expedient in character (12% and 9% retouched). The Asturian is identified solely on the
466
basis of the iconic quartzite cobble picks, which were always saved by archaeologists,
467
but there is very little débitage in the remnants of Asturian middens, underscoring their
468
function as garbage dumps (Clark, 1971, 1983a, 1983b). No inland Asturian sites are
469
known. (see below). The mixed component open site of Liencres, with a flint-dominated
470
assemblage, two quartzite grinding slabs, and a Bronze Age projectile point falls
471
squarely in the expedient range (Clark 1975). Despite the recovery of five typical picks,
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472
its status as an Asturian site has been contested (González Morales, 1982). An
473 474 475
acknowledged anomaly, it is the only Asturian open site known.
Retouch frequency cross-classified with geography (elevation and minimum
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4.2 Retouch Frequency & Geographical Context
distance from the coast) is shown in Figure 3 and summarized in Table 4. Expedient
478
assemblages, probably representing longer-occupied base camps, seem to be located
479
in two contexts. For the entire period considered, expedient assemblages are found at
480
sites on the narrow coastal plain at elevations slightly above modern sea level and
481
within 6 km of the modern shore. For all but the Holocene and Upper Magdalenian,
482
expedient assemblages are also found at 13-15 km from the modern coast and
483
elevations of 250-350 m. This geographic consistency is particularly notable in view of
484
changes in sea level and coastline between the LGM, with sea level regression at
485
around – 100 m and the coast displaced from 5-15 km north of its mid-Holocene
486
position. The lack of expedient assemblages in the Asturian (not considered here) may
487
be a function of a tiny sample size (only three assemblages), but this does not seem to
488
be a reasonable explanation for the Upper Magdalenian. There are numerous other
489
assemblages from these periods within the region but without retouch frequency data to
490
assess site function.
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More curated assemblages, probably indicative of short-term hunting or other resource extraction camps, are found on the coastal plain, along with the hypothesized
493
base camps. There are also curated assemblages (and several sites without retouch
494
frequency data) at higher elevations and more inland than those of the Upper
495
Magdalenian. Again, this would be expected of hunting camps for ibex, chamois or
496
other game adapted to higher elevations with more rocky terrain.
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It should be kept in mind that much of the Upper Paleolithic developed under the
498
dry, cold conditions associated with the LGM/Oldest Dryas (c. 25-18 cal BP). Although
499
beset with climatic fluctuations, the high incidence of caves and rockshelters on the
500
plain, its comparatively mild, oceanic microclimates when compared with sites at higher
501
elevations, the concentration of shellfish (limpets, topshells, winkles), red and roe deer,
502
and boar, and tree crops (acorns; hazel and beech nuts), and with relict copses of trees
503
confined to the N/S trending river valleys would have made the plain an optimal
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16
environment for sustained occupation by foragers over much of the Late Pleistocene. In
505
contrast, the primary resources available at higher elevations were caprids (chamois,
506
and esp. ibex) accessible by hunting parties dispatched from the lowland, coastal sites.
507
Although there are residential sites situated near the relatively low mountain passes
508
between the coast and the Meseta del Norte in eastern Cantabria (notably El Mirón
509
[Straus & González Morales, 2012]), they are the exceptions rather than the rule.
510
Radiometric dates, pollen phases, Dansgaard-Oescher (D-O) and Heinrich (H) Events,
511 512 513
and ice core ages for the conventional C/S units are given in Table 5. 5. The Anomalous Case of the Asturian
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The absence of inland sites during the Asturian is a curious phenomenon.
515
Several explanations have been proposed for it. Perhaps the most plausible one is that
516
the ameliorating climate of the Preboreal (11.7-9.6 ka cal BP) and Boreal (9.6-8.4 ka cal
517
BP) probably increased the density and spatial extent of mixed deciduous/coniferous
518
woodlands, formerly confined to river valleys. Increases in the density of woodlands,
519
and the problem of tracking wounded animals, could have made hunting a less
520
productive pursuit at higher elevations in the foothills of the Cordillera, especially given
521
the prevalence of red and roe deer on the coastal plain.
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There are roughly 150 Asturian concheros now known, mostly concentrated along the eastern coast of Asturias and in western Cantabria (pers. comm, Pérez
524
Bartolomé, 2017) – many more than were known at the time of Clark’s dissertation on
525
the Asturian (1971). Almost without exception they consist of the remnants of once-
526
extensive shell middens preserved as cornices on the walls of caves and rockshelters.
527
They are so far unpublished, which is why we have not included them here. The
528
concheros appear to have been trash heaps associated with open-air residential bases
529
constructed of perishable material (wood, hides, etc.) that have left no archaeological
530
traces (Cueva de Mazaculos, where a small part of a living surface is preserved, is an
531
exception [González Morales et al., 1980]). With an exclusively coastal distribution,
532
there are no indications of use of the piedmont nor of higher elevations in the Cordillera.
533
The situation in Asturias and Cantabria contrasts strongly with that in the Basque
534
Country where the coastal plain is practically nonexistent and where surviving coastal
535
sites are small and few in number (exceptions are Jaizkebel 3 [J3], Santimamiñe, and
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536
Santa Catalina). Contemporaneous trans-Cordilleran sites with flint-dominated
537
microlithic assemblages (not included in this study) are found in the interior valleys of
538
Guipúzcoa, La Rioja and Navarra but have no real coastal counterparts, nor do interior
539
sites occur in Asturias and Cantabria south of the Cordillera. The Asturian shell middens have little discernible stratigraphy and almost no
RI PT
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features. Except for the quartzite picks and a few heavy-duty tools (choppers, chopping
542
tools), it is a ‘lithically impoverished’ industry, both in general and so far as retouch
543
frequencies (other than the picks) are concerned. It could be the case, however, that the
544
rather uncommon unmodified flakes were the primary cutting and scraping tools. A
545
recent study of wear patterns on Mesolithic flakes and blades from northern France and
546
Belgium indicates that many of them were used on vegetal substrates (Guéret, 2017).
547
The bone and antler industry is confined to a few rudimentary points and/or awls, bone
548
fish gorges, and a single perforated antler bâton. There are no known tools made on
549
shell, probably because no one has looked for them. Cuenca and colleagues (2010,
550
2011) note that scrapers made on mussel shells occur in early Neolithic assemblages at
551
Santimamiñe, in Vizcaya, and in many ethnographic contexts (see also Gútierrez
552
Zugasti, 2009). Asturian adaptations likely depended almost exclusively upon wooden
553
bows and arrows, bone gorges and nets for their hunting and fishing technologies.
554
Except at Liencres (Clark,1975; Papalas et al. 2003; cf. González Morales 1982), flint
555
artifacts are very scarce, and occur only as small, fractured nodules recovered from
556
river beds.
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While a strong case can be made for seasonal movement up and down the N/S
558
trending rivers in the region during the Late Pleistocene, where are the Asturian inland
559
sites corresponding in time to the coastal Asturian that one might expect to find
560
predicated on evidence from earlier periods? Given dense early Holocene woodland
561
where edible biomass would have been relatively low and mobility very difficult
562
compared to the littoral ecotone, Asturian foragers might simply have congregated in
563
the lowlands along the coast where staple resources (red and roe deer, boar, fish,
564
shellfish) would have been abundant in the estuaries, rivers and interfluves that transect
565
the coastal plain (Clark 1983a, Clark & Straus 1983). The sheer number of Asturian
566
shell middens lends some support to this hypothesis. However, with organic
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567
technologies, ephemeral structures, casual hearths and little accumulation of trash
568
(except for the middens themselves), open-air Asturian camps would have left very little
569
to have survived until the present.
570
Although an ephemeral Mesolithic presence is documented by two burials (without artifacts) on the southern slopes of the Cordillera at Cueva La Braña in León,
572
far to the west (Olalde et al., 2014), La Uña, also in León; and at Los Canes and
573
Arangas between the Picos de Europa and the Sierra de Cuera in eastern Asturias,
574
there are no signs of sustained occupation. Isolated burials also occur in Asturian
575
contexts along the coast (e.g., Colombres [Molino de Gasparín], Truchiro, Tito Bustillo,
576
El Toral), and at the Azilian site of Los Azules in the intermontane Güeña valley in
577
eastern Asturias (Fernández-Tresguerres, 1976). A single Mesolithic burial is known
578
from the Basque country at the conchero site of Jaizkibel (J3) but, in general, Mesolithic
579
sites are small and rare along the coasts of Vizcaya and Guipúzcoa. A less likely
580
hypothesis is an eastward migration along the Cantabrian coast and through the low
581
mountain passes in Cantabria, Vizcaya and Guipúzcoa into the Ebro Valley. Whatever
582
the case, the Asturian picks have an exclusively coastal distribution. Although they also
583
occur in Galicia and along the north coast of Portugal, they are never found very far
584
inland (Clark 1983a).
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It is interesting to note that practically all the Upper Paleolithic caves and
586
rockshelters in Asturias and Cantabria located at moderate elevations not far from the
587
coast were abandoned after the Azilian (e.g., El Mirón, El Horno, La Güelga, Los
588
Azules, El Castillo, El Valle, Rascaño, Las Caldas, La Viña, Collubil) (Straus, 2005).
589
This contrasts sharply with the case in the Basque Country where there was a fully-
590
developed trans-Cordilleran Mesolithic, and a poorer coastal one (albeit with two
591
important non-Asturian concheros on Monte Jaizkibel (J3) near San Sebastian and
592
Santimamiñe, near Guernica). Based on broad similarities with the ‘Sauveterrian’ lithic
593
industries of Mediterranean France, some have suggested that the concentration of
594
Mesolithic sites in Navarra, Álava (including the Castilian enclave of Treviño) and La
595
Rioja in the more open country of the Upper Ebro drainage could indicate an influx of
596
migrants from southeastern France and/or Catalonia. Many of these sites also contain
597
early Neolithic assemblages stratified above the Mesolithic ones. Whatever this
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difference might mean, the north Spanish Neolithic first appeared along the western
599
Mediterranean coast, followed the course of the Ebro to its headwaters in the Picos de
600
Europe, finally arriving in Cantábria (as at El Mirón) via the mountain passes in western
601
Vizcaya. In Euskadi fully developed Neolithic agropastoral economies, dated to 7-6 ka
602
BP, were confined to the relatively broad, fertile valleys of the Transcordillera whereas
603
in Cantabria, better suited to pastoralism than farming, the ‘Neolithization’ was very
604
partial and very late (~5.5 ka BP) (Peña-Chocarro et al., 2005). In fact, foraging
605
societies persisted alongside rather impoverished Neolithic ones throughout the entire
606
north coastal strip up through the Roman Iron Age. The arrival of agropastoral
607
economies is signaled mainly by the rather sudden appearance of megalithic tombs in
608 609 610
the mountainous terrain of eastern and central Asturias (Clark, 1987).
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5. The Lithic Evidence for Forager Mobility – A Brief Overview The overall picture shows an increasing proportion of lowland residential sites with expedient assemblages located on the low-lying coastal plain and piedmont,
613
reaching a maximum during the Solutrean (~24-20 ka BP) and L/M Magdalenian (~20-
614
17 ka), an interval regarded by many as the Last Glacial Maximum. The picture
615
changes significantly after about 16 ka BP. The Upper Magdalenian (~16-13.5 ka) is
616
characterized by high retouch frequencies, greater dispersion, and a higher incidence of
617
curated sites located in the foothills and piedmont of the Picos de Europa, a pattern that
618
continues throughout the Azilian. In these respects, the Upper Magdalenian and Azilian
619
sites resemble those of the EUP. In short, there appear to be two major kinds of
620
adaptation: the EUP, Upper Magdalenian and Azilian (under warmer conditions), on the
621
one hand, and the Lower Magdalenian and Solutrean (under colder conditions), on the
622
other (Figures 2 and 3). What was driving these changes in settlement patterns is
623
probably climate change but it is difficult to link it to the archaeology because of
624
differences in scale and because of the nature of typological systematics and the way
625
by which the analytical units are identified (see below).
626
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It should be kept in mind that entities like the Magdalenian, Solutrean, etc. were
627
originally created – not discovered – during the latter half of the 19th century on the
628
basis of supposedly-diagnostic archaeological index fossils thought to be restricted in
629
time and space and used since by convention and/or for convenience. However, there
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20
is no consensus about what those entities might mean in terms of human behavior, an
631
important – indeed crucial – epistemological issue addressed by a number of scholars
632
(e.g., Straus, 2003; Neeley and Barton, 1994; Barton et al.,1996; Clark & Riel-Salvatore,
633
2009; Culley et al., 2013), nor are there necessarily strong correlations with episodes of
634 635 636
marked climate change.
637
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6. Forager Mobility – Date Density & Ice Core Correlations
The second objective of this paper is to examine links between variation in lithic assemblages, occupational intensity and paleoclimatic change using summed
639
probability density (SPD) analysis of radiocarbon dates. SPD analysis combines
640
multiple radiocarbon age estimates, each one of which is itself a probability distribution
641
of the likelihood that a sample is of a given age, into an aggregate probability function.
642
Currently, such aggregation is most often done through a Bayesian procedure that
643
treats the individual radiocarbon estimates as prior probabilities and calculates the
644
aggregate SPD curve as a posterior probability distribution (Bronk-Ramsey, 2009;
645
Parnell et al. 2008, 2011). In the past decade, SPD analysis has most often been used
646
in archaeology as a proxy for occupational intensity or demographic change based on
647
theoretical propositions first outlined by Rick (1987). We use SPD analysis in this way
648
and discuss some of the issues involved in such interpretations below. However, we
649
also use the SPD method to explore possible relationships between the C/S units
650
commonly used in Iberia and paleoenvironmental change. All SPD analyses were done
651
using the BChron package for R (Parnell et al., 2011); the Intercal13 curve was used for
652 653 654
age calibration of terrestrial samples and the Marine13 curve was used for shell dates.
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6.1 Date Density, Dispersion & Central Tendencies
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We compiled a large database of radiocarbon dates for the Upper Paleolithic and
656
Mesolithic of northern Spain from a database maintained by Pierre Vermeersch at the
657
Katholieke Universiteit Leuven (Vermeersch, 2016), archaeological publications, and
658
field notes. After removing duplicates, this totaled 951 individual radiocarbon dates from
659
356 proveniences in 157 sites. Each date has a C/S attribution ascribed by the
660
excavator or analyst. We used this information to carry out an SPD analysis of the
661
aggregate, calibrated radiocarbon age distribution for each of the major C/S industries:
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21
662
Aurignacian, Gravettian, Solutrean, Magdalenian, Azilian, and Asturian+Mesolithic. The
663
results are shown in Figures 4 and 5. The data used in the SPD analyses are available
664
in Tables 2 and S3 [https://zenodo.org/record/1215819] (Barton et al., 2018).
665
There are many potential sources of variation in our analysis. The sample is the result of excavation and analysis by many archaeologists over the course of many
667
decades. There were undoubtedly differences among this large group of scholars in the
668
way assemblages were classified and ascribed to major C/S units – although focusing
669
on the highest level of classification should significantly reduce this kind of variation.
670
Nevertheless, uncertainty by the original excavator/analyst about C/S attribution can be
671
seen in entries like 'Solutrean or Gravettian’. Given the complex formation processes
672
responsible for cave and shelter deposits (Straus, 1979), it is also likely that in some
673
cases organic material dated was not actually contemporaneous with nearby
674
archaeological material upon which C/S attribution was based. Also, there are multiple
675
potential sources of variability in radiocarbon age estimates, including samples of mixed
676
provenance, compositional issues that resulted in large standard deviations, and
677
‘wiggles’ in the 14C calibration curve. Finally, multiple radiocarbon age estimates have
678
been obtained from some proveniences in sites, and only single dates from others.
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There are methods that help control for some of these sources of variation (Williams, 2012; Bernabeu et al., 2016; Garcia Puchol et al., 2017) and we employ
681
some of these when using SPD analysis as a proxy for occupational intensity. But here
682
we intentionally avoid using these filtering protocols to examine the aggregate age
683
distribution for all samples available from northern Iberia that have been attributed to
684
each of the six major C/S units. That is, we are not seeking the ‘correct’ chronological
685
boundaries for the Magdalenian, for example, but to derive empirically an age
686
distribution for all samples that someone thought were Magdalenian. In fact, we
687
explicitly include C/S attribution uncertainty in this analysis by ‘double’ counting dates
688
where the original excavator/analyst listed multiple possible attributions. For example,
689
the date with the ‘Solutrean or Gravettian’ attribution just mentioned was included in the
690
SPD analysis of Solutrean dates and in the SPD analysis of Gravettian dates. This
691
procedure provides a new kind of chronological characterization of traditional C/S
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692
industries that allows us to compare them with paleoclimate data in ways not otherwise
693
possible.
694
Figure 4 shows the probability curves of the aggregate 14C age estimates for each major C/S industry, much like the probability curves commonly shown for
696
individual radiocarbon dates. The calibrated probability curves for each individual 14C
697
date that contributed to each aggregate are also shown as light grey polygons. When
698
compared with the chronology in Table 5, a consensus emerges, at least in regard to
699
the order of these units in Vasco-Cantabria and Asturias. Moreover, while there is
700
considerable discussion of their temporal spans, and whether and how the units should
701
be defined or subdivided, the analysis confirms qualitative generalizations about central
702
tendencies in the literature (Straus, 2005). However, our purpose here is not to define or
703
confirm the age of these industries, but rather to examine the range and shape of age
704
estimates for samples attributed by the excavators to each of them. While many
705
prehistorians would regard the definition of the time-space boundaries of the C/S units
706
as a primary goal in itself, we are of the opinion that ransacking the unfiltered raw data
707
for pattern is potentially more informative about past human behavior, and about the
708
relationships between typological practice, unit boundaries, and radiometric
709
chronologies, than to try to refine variety-minimizing, normative definitions of units that
710
were created by prehistorians more than a century ago. Although obvious after the fact,
711
it should be kept in mind that the samples from which the 14C dates are derived are
712
completely unrelated to the defining characteristics of the industries to which they are
713
attributed.
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We overlay the chronological distributions of all six units, together with rescaled delta 18O curves from well-studied Greenland ice cores (Rasmussen et al., 2014) for
716
comparison in Figure 5. Overall, the main peaks in the age curves line up reasonably
717
well with major temperature fluctuations recorded in the ice cores. We caution that such
718
simple ‘wiggle matching’ in no way should be seen as indicating paleoclimatic causes
719
for variation in Upper Paleolithic industries. However, these comparisons can serve as
720
an initial step in understanding what these archaeologically-defined artifact groups
721
might mean in terms of technological change and adaption to dynamic Pleistocene
722
conditions. For example, the Aurignacian (113 dates) shows a major mode at around
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34.7 ka BP indicating a greater likelihood for the age of assemblages attributed to that
724
industry that is coterminous with a period of warmer temperatures in Greenland
725
(Denekamp interstadial in Europe at ~ 36-32.5 ka). However, a secondary mode at c. 43
726
ka, aligns with an interval of significantly colder Greenland temperatures, the Huneborg
727
cold phase (~41.4-36 ka). There is no apparent correlation between the Aurignacian,
728
whose age distribution is spread over a long interval, and macroscale climatic
729
oscillations. On the other hand, zones of maximum likelihood for age estimates (i.e.,
730
curve modes) align with warmer periods for the Gravettian, Magdalenian, Azilian, and
731
Asturian/Mesolithic. The two equally prominent Solutrean modes seem to align with
732
colder periods, however (see Tiffagom et al., 2007; Barton, 2013). Overall, this suggests
733
that, at the scale of the most inclusive Upper Paleolithic C/S units, there are probably
734
important links between the artifacts diagnostic of these units (often components of
735
hunting weaponry) and paleoenvironmental conditions, but that these links are not
736 737 738
straightforward and may require new analytical approaches to isolate them.
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6.2 Summed probability density curves
As noted above, our research shows that most Upper Paleolithic and Mesolithic assemblages, cross-classified by conventional culture/stratigraphic units, retouch
741
frequency, elevation and distance to shoreline, appear to be residential bases with few
742
retouched pieces (i.e., they can be characterized as expedient assemblages),
743
concentrated along the coastal plain, at low elevations and short distances from the
744
coast, and in the piedmont. Of the 98 assemblages for which retouch frequency can be
745
calculated, 64% have retouch frequencies ≤ 10% and 89% have retouch frequencies ≤
746
20%. Conversely, the relatively few assemblages located at higher elevations, greater
747
distances from the sea, with many retouched pieces and few other artifacts (i.e., they
748
can be characterized as curated assemblages), appear to represent the remains of
749
overnight camps, foraging parties and other kinds of long-distance, short term activities.
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How well or poorly do these data correlate with independent measures of global
751
climatic temperature changes? It might be hypothesized, for example, that coastal sites
752
dominated by expedient assemblages would show increases in relative frequency
753
during milder climatic episodes when the economizing behaviors associated with
754
climatic amelioration would be relaxed, resources would be closer proximity to
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residential sites and hunting parties to higher elevations would also decline in frequency
756
(i.e., the ratio between energy expended and calories obtained would increase).
757
Conversely, during colder phases, populations would have aggregated along the
758
coasts, population-resource imbalances would have ensued, resources become
759
depleted by overexploitation, and long-distance foraging parties deployed from
760
residential bases would have increased in frequency (i.e., the ratio between energy
761
expended and calories obtained would decrease).
762
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These changes can be tested by examining changes in climate, measured by the GISP2 and NGRIP2 ice cores, and changes in population density, using SPD analysis
764
of radiocarbon dates as a proxy for increases and decreases in population mentioned
765
above. Site counts classified by culture-stratigraphic units scaled to unit time have been
766
used before as crude proxies for population density (Clark & Straus, 1986; Straus et al.,
767
2001) but these early efforts were site (rather than level) based, exceptionally ‘coarse-
768
grained’ and lacked an independent monitor of climate change (for comparisons of site
769
counts and SPD analyses, see Bocquet-Appel et al., 2005; French & Collins, 2015). As
770
is true of all archaeological research, SPD analysis for demographic reconstruction is
771
subject to certain bias factors and assumptions (Shennan & Edinborough, 2007;
772
Williams, 2012; Shennan et al., 2013; Bernabeu Aubán et al., 2016; Downey et al.,
773
2016; García Puchol et al., 2017; Contreras & Meadows, 2014). However, in spite of
774
these issues, when used with appropriate caution and especially in regional scale
775
studies with large datasets, this approach seems to be the most robust method of
776
estimating population dynamics in prehistoric demography currently available.
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The most fundamental assumption underlying the approach is that the density of
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the proxy data is roughly proportional to that of the human population, and the
779
correlation between the density and distribution of archaeological material, on the one
780
hand, and past population, on the other, is roughly linear and uniform throughout
781
(Bocquet-Appel et al., 2005, cf. Peros et al., 2010). It is also assumed that the intensity
782
of archaeological research was approximately uniform across the region under study for
783
the duration of the database used (Bocquet-Appel et al., 2009). These constraints
784
appear to be met reasonably well in the case of northern Spain, an area with a century-
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25
785
long history of Stone Age research rivaling that of France and extending back as far as
786
the late 19th century. We employed several filtering steps to help control for some kinds of variability
788
that can distort relationships between SPD results and the assumptions that make it a
789
useful proxy for past demography (Williams, 2012; Timpson et al., 2014; García Puchol
790
et al., 2017). Date estimates with exceptionally large error ranges were eliminated to
791
remove samples that might be poor estimates for the timing of human activities or be
792
completely unrelated to them (e.g., organic material contaminated by soil carbonates or
793
other ‘dead’ carbon). Identifying dates with ‘exceptionally large error ranges’ is not
794
always clear cut, especially over the entire Upper Paleolithic, which spans much of the
795
datable range of 14C and where absolute standard deviations are expected to increase
796
with the age of a sample. We used the coefficient of variation (standard deviation
797
divided by the mean) to identify dates with large errors over the large age range
798
considered here. We eliminated all dates in which the coefficient of variation was >0.05.
799
In order to ensure that a unit of occupational debris containing datable material is not
800
overrepresented simply because the excavators had better funding for more
801
radiocarbon dates, multiple dates from single excavation units or single time slices are
802
often merged. We averaged all uncalibrated dates from single proveniences prior to
803
SPD analysis. We did not have enough consistent information to filter samples by
804
material type. Nor did we attempt to weight the results by age to counter recognized
805
taphonomic bias against older dates (Williams, 2012). Hence, we caution that lower
806
values for earlier parts of the SPD curve may be due in part (possibly a large part) to
807
taphonomic bias rather than to lower population densities and focus more on relative
808
changes than absolute values. The data cleaning described above reduced the number
809
of dates used for the SPD analysis to 404 from the original 951. The results are shown
810
in Figure 6. For comparison, we have overlaid the SPD curve with the boundaries for
811
major C/S units broadly accepted in the regional archaeological literature and given in
812
Table 5. Note that these are not drawn from the SPD analyses of C/S units discussed
813
above but are not at odds with those results either.
814 815
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Inspection of Figure 6 shows a variable amount of correspondence between C/S unit boundaries, demographic peaks and valleys (for which the SPD curve serves as a
ACCEPTED MANUSCRIPT Clark, Barton & Straus
26
proxy), and climate change again represented by ice core temperature proxies as in
817
Figure 5. While fairly good correspondence occurs between date density probabilities
818
and episodes of climate change, both behave more or less independently from the C/S
819
units, underscoring their non-ecological nature. For the first half of the study interval (c.
820
45-25 cal ka BP) date density probabilities remain fairly low, perhaps reflecting
821
preservation bias and generally poor discrimination between the Aurignacian and the
822
Gravettian in default of the characteristic archaeological index fossils. There may be
823
evidence of gradual increase in population and/or occupational intensity over a period of
824
some 11 ka, from the first appearance of Upper Paleolithic assemblages through the
825
Aurignacian, and followed by fluctuating or dynamic stability until about 25 cal ka. This
826
pattern does not correspond in any clear way with fluctuations in the GISP2 and
827
NGRIP2 ice cores. For example, the dip in temperature at around 38.7 ka BP followed
828
by an abrupt increase about a millennium later probably corresponds to the transition
829
from the Huneborg stadial to the Denekamp interstadial, an event that was relatively
830
rapid in terms of climate change but that shows only a weak correspondence with the
831
SPD curve. A further discordant pattern occurs at around 33-32 cal ka when a local
832
peak in the SPD curve at c. 31.5 cal ka aligns with a dip in the temperature curve. As
833
we note above, radiocarbon proxies for prehistoric demography in northern Spain
834
cannot be simply linked to 18O proxies for prehistoric temperatures in Greenland. It
835
nevertheless provides the opportunity to generate hypotheses about human behavior,
836
as represented in the archaeological record, and paleoenvironmental dynamics at
837
regional scales.
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There is a more consistent pattern following the early Upper Paleolithic. There
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839
are significant demographic peaks at the beginning of each time interval corresponding
840
to the Solutrean, Magdalenian, and Azilian, with each peak followed by an equally
841
notable valley, taken to signify demographic declines. Although the definition and thus
842
duration of the LGM is debated, there is some consensus that growth of the ice sheets
843
reached a maximum at about 26.5 ka. Deglaciation commenced in the Northern
844
Hemisphere after about 20 ka and came to an end during the Bølling oscillation, marked
845
by an abrupt rise in sea level, at about 14.5 ka. The SPD curve reaches two maxima
846
during the LGM, and another in the Tardiglacial. There are dips in the curve that appear
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27
to be contemporaneous with the Oldest and Older Dryas. But despite these fluctuations,
848
population densities remained generally high and were concentrated along the
849
Cantabrian coast in residential bases dominated by assemblages with expedient
850
assemblages. In this coastal zone, warmed by the Rennell’s Current (an arm of the Gulf
851
Stream), temperatures remained relatively mild and stable compared with more inland
852
areas.
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The most dramatic demographic decline is temporally coterminous with the
854
Younger Dryas and the beginning of the Holocene. When population recovers, the
855
archaeological record of the Mesolithic seems to indicate a significantly different way of
856 857 858
life from that of Upper Paleolithic inhabitants.
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7. Concluding Remarks
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It is our opinion that independent measures like radiocarbon dates matched to fine-grained ice core data and supplemented by more or less well-established climatic
861
phases can provide new insights into the multiple factors driving changes in human
862
adaptation in the Late Pleistocene and early Holocene. While not without their
863
problems, we further believe that WABI methods provide overall better indicators of past
864
human behavior than the variety-minimizing typological and technological systematics
865
that are currently used by many Paleolithic archaeologists. Instead of focusing on
866
prehistorian-defined analytical unit boundaries, we choose instead to use exploratory
867
data analysis (EDA, see Clark [1982] for a summary) to identify patterns that, more
868
often than not, cross-cut and behave independently from the conventional c/s units. This
869
essay is an attempt to use some of these methods on a regional scale in an area where
870
there is a long history of Paleolithic research and a relatively fine-grained archaeological
871
record. Although used with considerable success in Spanish Levante, Italy, other parts
872
of western Europe, Australia and in the United States, it remains to be seen how widely
873
adopted these methods will become. In Franco-Cantabria most workers continue to
874
adhere to the basic analytical units originally defined more than a century ago without
875
due consideration of what those units might mean in terms of human behavior, jamming
876
their analyses into this restrictive, out-dated paradigm. We hope to have demonstrated,
877
by example, how liberating it can be to shed that paradigm and put Paleolithic research
878
squarely into the powerful conceptual framework of human ecology. Perhaps the most
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879
significant result of this research is the demonstration that those unit boundaries are
880
permeable and at odds with linked changes in environment and human behavior. Only
881
time will tell.
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List of Tables Table 1. Material Correlates of Forager Mobility.
Table 3. Sites Used in the Lithic Volumetric Density (LVD) Analysis with the Relevant Culture/Stratigraphic Unit Attributions.1 Table 4. Statistical Summary for Lithic Analysis (Figures 2-4).
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Table 5. Radiometric Chronology, Pollen Sequence, Heinrich Events & Ice Core Phases for the Major Divisions of the Upper Paleolithic in Asturias & Cantabria (all archaeological dates ka cal BP).1,2
1330 1331 1332 1333 1334 1335 1336
1348
EP AC C
1347
TE D
1337 1338 1339 1340 1341 1342 1343 1344 1345 1346
RI PT
Table 2. A List of Data Requirements for a Complete WABI Analysis (Riel-Salvatore & Barton, 2004; Clark & Barton, 2017).
M AN U
1315 1316 1317 1318 1319 1320 1321 1322 1323 1324 1325 1326 1327 1328 1329
39
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Table 1. Material Correlates of Forager Mobility. ______________________________________________________________________ A high incidence of retouch and low lithic volumetric density is consistent with:
M AN U
SC
RI PT
less residential stability (= transient camps) shorter duration of site occupation smaller sites, local groups (= seasonal fission) resources procured by moving the entire group (moves people to resources) a large number of retouched pieces relative to lithic totals no cores and little débitage expected to occur during dry, cold intervals with scarce, widely distributed resource patches consistent with increased mobility and the provisioning of individuals result is curated assemblages A low incidence of retouch and high lithic volumetric density Is consistent with:
EP
TE D
greater residential stability (= base camps) longer duration of site occupation larger sites, local groups (= seasonal fusion) resources procured by task groups deployed from residential bases (moves resources to people) a small number of retouched pieces relative to lithic totals significant numbers of cores, unretouched flakes and blades, and debitage consistent with reduced mobility and the provisioning of places expected to occur during warm, wet intervals with abundant resources clustered in close proximity to residential bases result is expedient assemblages ______________________________________________________________________
AC C
1349 1350 1351 1352 1353 1354 1355 1356 1357 1358 1359 1360 1361 1362 1363 1364 1365 1366 1367 1368 1369 1370 1371 1372 1373 1374 1375 1376 1377 1378 1379 1380 1381 1382
40
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1417
Table 2. A List of Data Requirements for a Complete WABI Analysis (Riel-Salvatore & Barton, 2004; Clark & Barton, 2017).
Archaeological Variables:
M AN U
SC
RI PT
sites assemblages within sites area excavated in square meters mean level thickness in centimeters volume excavated in cubic meters total number of lithics (flakes, blades, debitage, shatter) total number of cores and core fragments lithic volumetric density (LVD) – total lithics/volume excavated total number of retouched pieces percent retouched of total number of lithics backed bladelet index (Ib/b) – total backed bladelets/total retouched pieces attribution (e.g., Solutrean, Magdalenian, etc.) Landscape & Environmental Variables:
TE D
elevation in meters above sea level distance to sea (air) in kilometers distance to sea (walking) in kilometers UTM co-ordinates distance to other contemporaneous sites Chronological Variables
EP
radiocarbon dates marine isotope stages (MIS) European pollen phases (e.g., Younger Dryas, Preboreal, Atlantic, etc.) ______________________________________________________________________
AC C
1383 1384 1385 1386 1387 1388 1389 1390 1391 1392 1393 1394 1395 1396 1397 1398 1399 1400 1401 1402 1403 1404 1405 1406 1407 1408 1409 1410 1411 1412 1413 1414 1415 1416
41
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42
1418 1419 1420 1421
Table 3. Sites Used in the Lithic Volumetric Density (LVD) Analysis with the Relevant Culture/Stratigraphic Unit Attributions.1 ______________________________________________________________________
1422 1423 1424 1425 1426 1427 1428 1429 1430 1431 1432 1433 1434 1435 1436 1437 1438 1439 1440 1441 1442 1443 1444
Sites with LVD & retouched data: (80 assemblages) Balmori Bolinkoba Cova Rosa Ekain El Cierro La Riera
RI PT
Attributions:
TE D
M AN U
SC
Asturian Gravettian/Noaillan Solutrean Upper Magdalenian, Azilian Solutrean Gravettian (?), Solutrean, Lower/Middle Magdalenian, Upper Magdalenian, Azilian, Asturian Las Caldas Middle, Upper & Final Solutrean, Lower/Middle Magdalenian Liencres Asturian Mirón Solutrean, Lower/Middle Magdalenian Morín Châtelperronian, Aurignacian, Classic Aurignacian, Upper Solutrean, Upper Solutrean, Magdalenian, Azilian Otero Aurignacian III, IV & V; Magdalenian V Rascaño Archaic Magdalenian, Lower Magdalenian, Upper Magdalenian, Final Magdalenian, Azilian Sopeña (test pit) Gravettian ______________________________________________________________________ Sites with lithic & retouched totals but with no LVD data: (28 assemblages) Aitzbitarte III Early Upper Paleolithic (EUP), Late Aurignacian, Gravettian, Middle Gravettian, Gravettian/Solutrean El Juyo Lower/Middle Magdalenian La Paloma Lower, Middle & Upper Magdalenian; Azilian Los Azules Azilian ______________________________________________________________________
1454 1455
1. culture/stratigraphic affiliations are those of the excavators.
AC C
EP
1445 1446 1447 1448 1449 1450 1451 1452 1453
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Table 4. Statistical Summary for Lithic Analysis (Figures 2-4). ______________________________________________________________________ (1) Retouch frequency x culture/stratigraphic unit (Figure 2): Early Upper Paleolithic Solutrean Lower & Middle Magdalenian Upper Magdalenian Azilian Asturian (Mesolithic)
28 29 25 10 13 3
Median 0.107 0.050 0.032 0.133 0.122 0.123
Scatter Plot trimodal, skewed residential bimodal, skewed residential trimodal, skewed residential unimodal, even distribution unimodal, even distribution unimodal, skewed curated
RI PT
No. Assemblages
SC
______________________________________________________________________ (2) Retouch frequency x elevation x culture/stratigraphic unit (Figure 3):
Early Upper Paleolithic Solutrean Lower & Middle Magdalenian Upper Magdalenian Azilian Asturian (Mesolithic)
M AN U
No. Assemblages* Median Elev. 49 40 49 35 28 4
151.0 60.0 165.0 165.0 181.0 29.5
Scatter Plot 17.9% curated** 6.9% curated 8.0% curated 10.0% curated 15.4% curated 33.0% curated
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*includes assemblages without retouch frequency information; **curated = >10% retouched (3) Retouch frequency x linear distance to modern and LGM coast (Figure 3):
EP
No. Assemblages*
Early Upper Paleolithic Solutrean Lower & Middle Magdalenian Upper Magdalenian Azilian Asturian (Mesolithic)
AC C
1456 1457 1458 1459 1460 1461 1462 1463 1464 1465 1466 1467 1468 1469 1470 1471 1472 1473 1474 1475 1476 1477 1478 1479 1480 1481 1482 1483 1484 1485 1486 1487 1488 1489 1490 1491 1492 1493 1494 1495 1496 1497 1498 1499 1500 1501 1502
43
49 40 49 35 28 4
Median Median Dist./Modern Dist./LGM Coast Coast 6.58 2.06 12.21 6.58 13.12 1.64
*includes assemblages without retouch frequency information
18.63 10.35 21.99 21.98 26.16 10.09
Difference
12.05 8.29 9.78 15.40 13.04 8.45
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Table 5. Radiometric Chronology, Pollen Sequence, Heinrich Events & Ice Core Phases for the Major Divisions of the Upper Paleolithic in Cantabria (all dates ka cal BP).
Mesolithic (all)
11.0-8.0
Preboreal
11.5-8.4
13.5-11.0
Dryas III Allerod
12.9-11.7 13.7-12.9
H0 ∼12.5
GS11 GI1a-c
Magdalenian
20.3-13.5
Dryas II Bølling Dryas I
14.1-13.7 14.7-14.1 18.0-17.8
H1
GI1d GI1e GS2.1b
Laugerie Lascaux
Gravettian
∼34.0-24.0
Tursac Maisières
Aurignacian
∼42.0-34.0
16.8
SC
∼24.0-20.0
23.5-22.0 23.0-22.0
H2 24-23
GS2,3 GI3
31.0-29.5 34.5-33.5
H3 ∼30.0
GI2-6 GI6
Denekamp
38.0-34.5
H4 38-35
Hengelo
43.5-40.0
GI6-10, GS7-11 GI12
M AN U
Solutrean
RI PT
Azilian
AC C
EP
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1. Ice core dates are before 2ka AD; based on analysis of NGRIP, GRIP and GISP2 cores (from Rasmussen et al. 2014: 14-28).
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List of Figures Figure 1. The north Spanish provinces of Asturias, Cantabria, Vizcaya and Guipúzcoa showing the locations of the 47 sites used in the analyses presented.
RI PT
Figure 2. Box plot of retouch frequency cross-classified with analytical unit with medians and mid-spreads indicated and individual assemblages shown as colored dots (shaded in B/W print version) that indicate the prevalence of backed bladelets among retouched pieces (see Table 4).
SC
Figure 3. Scatter plot showing retouch frequency cross-classified with modern elevation and distance from modern coast for each culture/stratigraphic unit (see Table 4). Red circles are assemblages with retouch frequencies ≤ 0.10; blue circles are assemblages with retouch frequencies > 0.10. Grey dots are assemblages without sufficient information to calculate retouch frequency.
M AN U
Figure 4. Calibrated radiocarbon summed probability density curves for six culture/stratigraphic units referred to in text (L/M and U Magdalenian combined). Light grey polygons show probability curves for individual dates. Figure 5. Combined summed probability density curves for each culture/stratigraphic unit. Rescaled ∆18O values proportional to paleotemperatures and glacial ice volume from the relevant portions of the GISP2 (red) and NGRIP2 (blue) ice cores generated from recalibrated dates in Rasmussen et al. (2008) shown for comparison.
AC C
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Figure 6. Summed probability density curve of calibrated 14C dates from the north Spanish coast (solid line) with the duration of six culture/stratigraphic units (Table 5) indicated (vertical dotted lines). Rescaled ∆18O values proportional to paleotemperatures and glacial ice volume from the relevant portions of the GISP2 (red) and NGRIP2 (blue) ice cores generated from recalibrated dates in Rasmussen et al. (2008) shown for comparison.
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2
Tito Bustillo La Lloseta El Cierro
Cueva Oscura
La Riera Cueto de la Mina Bricia El Pendo
Cova Rosa
Rascaño
El Juyo
La Chora
Abittaga Santimamiñe
Ermittia Urtiaga
Los Azules Entrefoces
Asturias
Chufín
Cantabria Sopeña
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Las Caldas
Amalda
Altamira
La Paloma El Conde
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Figure 1. The north Spanish provinces of Asturias, Cantabria, Vizcaya and Guipúzcoa showing the locations of the 47 sites used in the analyses presented.
El Castillo
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Morín Piélago I-II
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Otero
Erralla Abauntz
País Vasco
Zatoya
El Valle
Aitzbitarte I-IV
Mirón Silibranka Bolinkoba
Navarra
Agarre Aitzbeltz
Ekain
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Figure 2. Box plot of retouch frequency cross-classified with analytical unit with medians and mid-spreads indicated and individual assemblages shown as colored dots (shaded in B/W print version) that indicate the prevalence of backed bladelets among retouched pieces (see Table 4).
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Figure 3. Scatter plot showing retouch frequency cross-classified with modern elevation and distance from modern coast for each culture/stratigraphic unit (see Table 4). Red circles are assemblages with retouch frequencies ≤ 0.10; blue circles are assemblages with retouch frequencies > 0.10. Grey dots are assemblages without sufficient information to calculate retouch frequency.
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Figure 4. Calibrated radiocarbon summed probability density curves for six culture/stratigraphic units referred to in text (L/M and U Magdalenian combined). Light grey polygons show probability curves for individual dates.
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Figure 5. Combined summed probability density curves for each culture/stratigraphic unit. Rescaled ∆18O values proportional to paleotemperatures and glacial ice volume from the relevant portions of the GISP2 (red) and NGRIP2 (blue) ice cores generated from recalibrated dates in Rasmussen et al. (2008) shown for comparison.
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Early Upper Paleolithic (EUP) Gravettian
Late Upper Paleolithic (LUP)
Solutrean
Magdalenian
Meso.
Azil.
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Aurignacian
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Figure 6. Summed probability density curve of calibrated 14C dates from the north Spanish coast (solid line) with the duration of six culture/stratigraphic units (Table 5) indicated (vertical dotted lines). Rescaled ∆18O values proportional to paleotemperatures and glacial ice volume from the relevant portions of the GISP2 (red) and NGRIP2 (blue) ice cores generated from recalibrated dates in Rasmussen et al. (2008) shown for comparison.
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Table S1. Solutrean – Old Collections (Straus 1975).
c. 1.7 2 c. 1.2 c. 20 c. 20 c. 20 c. 20 4-6 c. 4 c. 10-20
910 49 456
177 34 167
0.195 0.694 0.367
0.50
8
5
0.625
0.15
61
7
0.25
142 183 202 234 353 785 151 80 50 62
0.60 0.40 2.00
505 5 140
0.555 0.102 0.307
0.115
42
0.689
117 125 171 171 242 584 136 69 25
0.824 0.683 0.847 0.731 0.687 0.745 0.901 0.862 0.500
4 4 6 14 11 31 10 4 10
0.028 0.022 0.030 0.060 0.031 0.039 0.066 0.050 0.200
40
0.645
12
0.194
272
c. 20 c. 30-35 c. 5-6
0.60 0.65 0.20
47 1066 246
EP AC C
194 8 134
0.213 0.163 0.294
1
0.125
47 522 125
1.000 0.490 0.508
204 94
0.191 0.382
33 1 14
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0.80 1.20 2.00
2
12
6 25 12 29 37 77 2 3 11
0.042 0.137 0.059 0.124 0.105 0.098 0.013 0.025 0.220
3
0.048
14 28 12 19 62 92 3 4 4
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c. 3 10-13 2-3
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Río Nalón Las Caldas (Alvarez) Peña de Candamo Cueva Oscura (all) Río Sella Buxu Posada de Llanes Coberizas (Cut A, lev. 4) Cueto de la Mina: lev. F unspec. Solutrean lev. E (undivided) lev. E/3+4 lev. E/1+2 lev. E (all) La Riera (Vega del Sella) Tres Calabres Balmori* Río Deva Sel* Río Nansa Chufin Ríos Saja & Besaya Caranceja Altamira (Alcalde) Altamira (Obermaier) Hornos de la Peña*
Approx. Approx. Total Total Percent Flakes Percent Blades Percent Bladelets Area Exc. Thickness Artifacts Retouched Retouched Flakes Blades m square meters
M AN U
Site & Level
249 19
0.234 0.077
3
90 7
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SUPPLEMENT 3 – DATA & METHODS
Last Updated: 2018-04-09
Table of Contents This workflow is the output for an R Markdown script that performed all analyses used in the paper entitled Landscapes, climate change & forager mobility in the Upper Paleolithic of northern Spain (GA Clark corresponding author), submitted to Quaternary International, 2018. This R Markdown script requires R data files for the lithic assemblages and radiocarbon dates, as well as a several R packages not included in the base distribution. These are all loaded by the ‘setup’ chunk below. The complete dataset and the R Markdown script that produced this document can be downloaded at: https://zenodo.org/record/1214794 (doi: 10.5281/zenodo.1214794) This dataset should be cited as follows:
Setup Load files and libraries # R libraries needed require(ggplot2) require(ggthemes) require(dplyr) require(Bchron) require(viridis) require(readr)
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# Load files needed load(file="nwiberia_lithics.rda") load(file="nwiberia_dates.rda") load(file="ice_cores.rda")
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Barton, C.M., Clark, G.A., Straus, L.G., 2018. Upper Paleolithic of N Spain - Lithic and C14 Data and Analysis. doi:10.5281/zenodo.1214794
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C Michael Barton, Geoffrey A Clark & Lawrence G Straus
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Supplementary Information for: Landscapes, Climate Change & Forager Mobility in the Upper Paleolithic of Northern Spain
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List of Tables Table 1. Material Correlates of Forager Mobility.
Table 3. Sites Used in the Lithic Volumetric Density (LVD) Analysis with the Relevant Culture/Stratigraphic Unit Attributions.1 Table 4. Statistical Summary for Lithic Analysis (Figures 2-4).
Table 5. Radiometric Chronology, Pollen Sequence, Heinrich Events & Ice Core Phases for the Major Divisions of the Upper Paleolithic in Asturias & Cantabria (all archaeological dates ka cal BP).1,2
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16 17 18 19 20 21 22
34
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33
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23 24 25 26 27 28 29 30 31 32
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Table 2. A List of Data Requirements for a Complete WABI Analysis (Riel-Salvatore & Barton, 2004; Clark & Barton, 2017).
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Table 1. Material Correlates of Forager Mobility. ______________________________________________________________________ A high incidence of retouch and low lithic volumetric density is consistent with:
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§ §
less residential stability (= transient camps) shorter duration of site occupation smaller sites, local groups (= seasonal fission) resources procured by moving the entire group (moves people to resources) a large number of retouched pieces relative to lithic totals no cores and little débitage expected to occur during dry, cold intervals with scarce, widely distributed resource patches consistent with increased mobility and the provisioning of individuals result is curated assemblages
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§ § § § § § §
A low incidence of retouch and high lithic volumetric density Is consistent with: greater residential stability (= base camps) longer duration of site occupation larger sites, local groups (= seasonal fusion) resources procured by task groups deployed from residential bases (moves resources to people) § a small number of retouched pieces relative to lithic totals § significant numbers of cores, unretouched flakes and blades, and debitage § consistent with reduced mobility and the provisioning of places § expected to occur during warm, wet intervals with abundant resources clustered in close proximity to residential bases § result is expedient assemblages ______________________________________________________________________
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§ § § §
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35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68
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Table 2. A List of Data Requirements for a Complete WABI Analysis (Riel-Salvatore & Barton, 2004; Clark & Barton, 2017).
Archaeological Variables:
§
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sites assemblages within sites area excavated in square meters mean level thickness in centimeters volume excavated in cubic meters total number of lithics (flakes, blades, debitage, shatter) total number of cores and core fragments lithic volumetric density (LVD) – total lithics/volume excavated total number of retouched pieces percent retouched of total number of lithics backed bladelet index (Ib/b) – total backed bladelets/total retouched pieces attribution (e.g., Solutrean, Magdalenian, etc.)
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§ § § § § § § § § § §
Landscape & Environmental Variables: elevation in meters above sea level distance to sea (air) in kilometers distance to sea (walking) in kilometers UTM co-ordinates distance to other contemporaneous sites
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§ § § § §
Chronological Variables
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§ radiocarbon dates § marine isotope stages (MIS) § European pollen phases (e.g., Younger Dryas, Preboreal, Atlantic, etc.) ______________________________________________________________________
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69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102
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104 105 106 107
Table 3. Sites Used in the Lithic Volumetric Density (LVD) Analysis with the Relevant Culture/Stratigraphic Unit Attributions.1 ______________________________________________________________________
108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130
Sites with LVD & retouched data: (80 assemblages) Balmori Bolinkoba Cova Rosa Ekain El Cierro La Riera
131 132 133 134 135 136 137 138 139
Sites with lithic & retouched totals but with no LVD data: (28 assemblages) Aitzbitarte III Early Upper Paleolithic (EUP), Late Aurignacian, Gravettian, Middle Gravettian, Gravettian/Solutrean El Juyo Lower/Middle Magdalenian La Paloma Lower, Middle & Upper Magdalenian; Azilian Los Azules Azilian ______________________________________________________________________
140 141
1. culture/stratigraphic affiliations are those of the excavators.
Attributions:
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Asturian Gravettian/Noaillan Solutrean Upper Magdalenian, Azilian Solutrean Gravettian (?), Solutrean, Lower/Middle Magdalenian, Upper Magdalenian, Azilian, Asturian Las Caldas Middle, Upper & Final Solutrean, Lower/Middle Magdalenian Liencres Asturian Mirón Solutrean, Lower/Middle Magdalenian Morín Châtelperronian, Aurignacian, Classic Aurignacian, Upper Solutrean, Upper Solutrean, Magdalenian, Azilian Otero Aurignacian III, IV & V; Magdalenian V Rascaño Archaic Magdalenian, Lower Magdalenian, Upper Magdalenian, Final Magdalenian, Azilian Sopeña (test pit) Gravettian ______________________________________________________________________
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Table 4. Statistical Summary for Lithic Analysis (Figures 2-4). ______________________________________________________________________ (1) Retouch frequency x culture/stratigraphic unit (Figure 2): Early Upper Paleolithic Solutrean Lower & Middle Magdalenian Upper Magdalenian Azilian Asturian (Mesolithic)
28 29 25 10 13 3
Median 0.107 0.050 0.032 0.133 0.122 0.123
Scatter Plot trimodal, skewed residential bimodal, skewed residential trimodal, skewed residential unimodal, even distribution unimodal, even distribution unimodal, skewed curated
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No. Assemblages
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______________________________________________________________________ (2) Retouch frequency x elevation x culture/stratigraphic unit (Figure 3):
Early Upper Paleolithic Solutrean Lower & Middle Magdalenian Upper Magdalenian Azilian Asturian (Mesolithic)
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No. Assemblages* Median Elev. 49 40 49 35 28 4
151.0 60.0 165.0 165.0 181.0 29.5
Scatter Plot 17.9% curated** 6.9% curated 8.0% curated 10.0% curated 15.4% curated 33.0% curated
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*includes assemblages without retouch frequency information; **curated = >10% retouched (3) Retouch frequency x linear distance to modern and LGM coast (Figure 3):
EP
No. Assemblages*
Early Upper Paleolithic Solutrean Lower & Middle Magdalenian Upper Magdalenian Azilian Asturian (Mesolithic)
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142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188
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49 40 49 35 28 4
Median Median Dist./Modern Dist./LGM Coast Coast 6.58 2.06 12.21 6.58 13.12 1.64
*includes assemblages without retouch frequency information
18.63 10.35 21.99 21.98 26.16 10.09
Difference
12.05 8.29 9.78 15.40 13.04 8.45
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Table 5. Radiometric Chronology, Pollen Sequence, Heinrich Events & Ice Core Phases for the Major Divisions of the Upper Paleolithic in Cantabria (all dates ka cal BP).
11.0-8.0
Preboreal
11.5-8.4
13.5-11.0
Dryas III Allerod
12.9-11.7 13.7-12.9
H0 ∼12.5
GS11 GI1a-c
Magdalenian
20.3-13.5
Dryas II Bølling Dryas I
14.1-13.7 14.7-14.1 18.0-17.8
H1
GI1d GI1e GS2.1b
Solutrean
∼24.0-20.0
Laugerie Lascaux
Gravettian
∼34.0-24.0
Tursac Maisières
Aurignacian
∼42.0-34.0
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Azilian
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Mesolithic (all)
16.8
H2 24-23
GS2,3 GI3
31.0-29.5 34.5-33.5
H3 ∼30.0
GI2-6 GI6
Denekamp
38.0-34.5
H4 38-35
Hengelo
43.5-40.0
GI6-10, GS7-11 GI12
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23.5-22.0 23.0-22.0
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1. Ice core dates are before 2ka AD; based on analysis of NGRIP, GRIP and GISP2 cores (from Rasmussen et al. 2014: 14-28).
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List of Figures Figure 1. The north Spanish provinces of Asturias, Cantabria, Vizcaya and Guipúzcoa showing the locations of the 47 sites used in the analyses presented.
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Figure 2. Box plot of retouch frequency cross-classified with analytical unit with medians and mid-spreads indicated and individual assemblages shown as colored dots (shaded in B/W print version) that indicate the prevalence of backed bladelets among retouched pieces (see Table 4).
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Figure 3. Scatter plot showing retouch frequency cross-classified with modern elevation and distance from modern coast for each culture/stratigraphic unit (see Table 4). Red circles are assemblages with retouch frequencies ≤ 0.10; blue circles are assemblages with retouch frequencies > 0.10. Grey dots are assemblages without sufficient information to calculate retouch frequency.
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Figure 4. Calibrated radiocarbon summed probability density curves for six culture/stratigraphic units referred to in text (L/M and U Magdalenian combined). Light grey polygons show probability curves for individual dates. Figure 5. Combined summed probability density curves for each culture/stratigraphic unit. Rescaled ∆18O values proportional to paleotemperatures and glacial ice volume from the relevant portions of the GISP2 (red) and NGRIP2 (blue) ice cores generated from recalibrated dates in Rasmussen et al. (2008) shown for comparison.
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Figure 6. Summed probability density curve of calibrated 14C dates from the north Spanish coast (solid line) with the duration of six culture/stratigraphic units (Table 5) indicated (vertical dotted lines). Rescaled ∆18O values proportional to paleotemperatures and glacial ice volume from the relevant portions of the GISP2 (red) and NGRIP2 (blue) ice cores generated from recalibrated dates in Rasmussen et al. (2008) shown for comparison.
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Tito Bustillo La Lloseta El Cierro
Cueva Oscura
La Riera Cueto de la Mina Bricia El Pendo
Cova Rosa
Rascaño
El Juyo
La Chora
Abittaga Santimamiñe
Ermittia Urtiaga
Los Azules Entrefoces
Asturias
Chufín
Cantabria Sopeña
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Las Caldas
Amalda
Altamira
La Paloma El Conde
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Figure 1. The north Spanish provinces of Asturias, Cantabria, Vizcaya and Guipúzcoa showing the locations of the 47 sites used in the analyses presented.
El Castillo
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Morín Piélago I-II
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Otero
Erralla Abauntz
País Vasco
Zatoya
El Valle
Aitzbitarte I-IV
Mirón Silibranka Bolinkoba
Navarra
Agarre Aitzbeltz
Ekain
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Figure 2. Box plot of retouch frequency cross-classified with analytical unit with medians and mid-spreads indicated and individual assemblages shown as colored dots (shaded in B/W print version) that indicate the prevalence of backed bladelets among retouched pieces (see Table 4).
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Figure 3. Scatter plot showing retouch frequency cross-classified with modern elevation and distance from modern coast for each culture/stratigraphic unit (see Table 4). Red circles are assemblages with retouch frequencies ≤ 0.10; blue circles are assemblages with retouch frequencies > 0.10. Grey dots are assemblages without sufficient information to calculate retouch frequency.
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Figure 4. Calibrated radiocarbon summed probability density curves for six culture/stratigraphic units referred to in text (L/M and U Magdalenian combined). Light grey polygons show probability curves for individual dates.
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Figure 5. Combined summed probability density curves for each culture/stratigraphic unit. Rescaled ∆18O values proportional to paleotemperatures and glacial ice volume from the relevant portions of the GISP2 (red) and NGRIP2 (blue) ice cores generated from recalibrated dates in Rasmussen et al. (2008) shown for comparison.
Early Upper Paleolithic (EUP) Gravettian
Late Upper Paleolithic (LUP)
Solutrean
Magdalenian
Meso.
Azil.
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Aurignacian
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Figure 6. Summed probability density curve of calibrated 14C dates from the north Spanish coast (solid line) with the duration of six culture/stratigraphic units (Table 5) indicated (vertical dotted lines). Rescaled ∆18O values proportional to paleotemperatures and glacial ice volume from the relevant portions of the GISP2 (red) and NGRIP2 (blue) ice cores generated from recalibrated dates in Rasmussen et al. (2008) shown for comparison.
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