Turtle collectors and what we know: a meta-analysis of mainland Southeast Asia’s zooarchaeological record

This post is by Cyler Conrad, author of the recently published paper “Archaeozoology in Mainland Southeast Asia: Changing Methodology and Pleistocene to Holocene Forager Subsistence Patterns in Thailand and Peninsular Malaysia.” He is a PhD student in the Department of Anthropology at the University of New Mexico, Albuquerque, New Mexico.

There is a rich diversity of animals – mammals, birds, reptiles, fish and mollusks – in Mainland Southeast Asia, but which of these animals did prehistoric human foragers consume? This paper takes a closer look at the fauna exploited by hunter-gatherer groups in Thailand and Peninsular Malaysia during the last 50,000 years.

My goal was straightforward: I wanted to explore broad patterns in the faunal data from this ecologically rich region. What types of prey were commonly hunted? Did this change over time? I reviewed the literature, compiled the data, ran several metrics to explore changes in faunal composition, and found several distinct patterns.

Fig 1. A spiny turtle (Heosemys spinosa) from Singapore. Photo credit: ecologyasia.com http://bit.ly/1IURP1c

Fig 1. A spiny turtle (Heosemys spinosa) from Singapore. Photo credit: ecologyasia.com http://bit.ly/1IURP1c

First, it became apparent that prehistoric hunter-gatherers in Southeast Asia consumed Chelonians (tortoises, hard-shell turtles and soft-shell turtles) abundantly over the past 50,000 years. However, there do not appear to be tortoise or turtle-related extinction events during this same period – a striking difference from modern trends in Chelonian exploitation (Asian Tortoise and Freshwater Turtle Status).

The trend in Chelonian exploitation during the late Pleistocene and Holocene is likely more complex (e.g. species specific exploitation) than I identified here. One issue confronting Southeast Asian zooarchaeologists is identification of tortoises, turtles and other reptiles in archaeological sites (see here for recent approaches). Most turtle and tortoise identifications are made to the Order or Family level, but no lower. Clearly, reanalysis of Chelonian assemblages is needed in Mainland Southeast Asia to understand what types of species-specific exploitation occurred during this period.

In addition to turtles, hunter-gatherer groups commonly consumed several other types of taxa, such as deer, wild boar and monitor lizards. In some regions deer were more abundant (Thai sites) and in others wild boar were more common (Peninsular Malaysian sites).

Finally, the diachronic analysis of the faunas showed a surprising pattern: little change over time. This was particularly remarkable during the Pleistocene-Holocene transition, when climatic changes are thought to have driven subsistence change in this region and elsewhere in the world.

Fig 2. Chelonian carapace specimens recovered from Banyan Valley Cave, Mae Hong Son Province, Thailand. Photo credit: Original by Chester Gorman, copy provided by Joyce White and the Institute for Southeast Asian Archaeology.

Fig 2. Chelonian carapace specimens recovered from Banyan Valley Cave, Mae Hong Son Province, Thailand. Photo credit: Original by Chester Gorman, copy provided by Joyce White and the Institute for Southeast Asian Archaeology.

While it is my hope that this paper will provide novel insights into the Mainland Southeast Asian zooarchaeological record, there is much more work needed before we fully understand why these taxa were such popular food items for prehistoric hunter-gatherers.

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Article Spotlight: Older Collections and Meta Analyses

Our blog post series highlighting recent articles is back,  starting with the first of our summer publications, “The Promise and Peril of Older Collections: Meta-analyses and the zooarchaeology of Late Prehistoric/Early Historic Mexico” by Emily L. Jones and Caroline Gabe. Emily Jones is an Assistant Professor at the University of New Mexico, New Mexico, US.

In the past 5 years analyses rooted in “big data” have become ubiquitous in archaeology as elsewhere. Frameworks for successful conservation projects, the origins and spread of animal husbandry, the growth of London’s northern trade – all these topics and more have been the subject of recent meta-analyses. Such results are clearly breaking new scientific ground, but the plethora of such big studies has also highlighted concerns. Critiques of “big data” (for example, this 2014 opinion piece in the New York Times) have pointed out that when data included in analysis are collected with varying methods, spurious findings can result. A Harvard Business Review article title puts it succinctly: “Google Flu Trends’ Failure Shows Good Data > Big Data”.

My student and colleague Caroline Gabe and I both work with archaeological collections – that is, material recovered from excavations that took place sometime in the past. These collections are sometimes the result of relatively recent excavations, but sometimes they were recovered much longer ago, as far back as the early 1900s. The archaeologists excavating in the first half of the twentieth century used very different methods than we do now. In addition, older methods of curation can lead to the loss of some data, further biasing results. In short, archaeological meta-analyses involving both older and newer collections have the potential to be problematic for many of the same reasons that Google Flu Trends failed.


This specimen from the Comanche Springs collection was originally identified as a “skull” – even though all we found during reanalysis was bone fragments, roots, and dirt (photo by C. Gabe).

This specimen from the Comanche Springs collection was originally identified as a “skull” – even though all we found during reanalysis was bone fragments, roots, and dirt (photo by C. Gabe).

So when the opportunity arose for us to participate in a symposium on zooarchaeological meta-analyses, we leapt at the chance to explore how the simultaneous use of older and newer zooarchaeological data might impact analyses. Our Open Quaternary article, The Promise and Peril of Older Collections: Meta-Analyses and the Zooarchaeology of Late Prehistoric/Early Historic New Mexico, is the result. While (as our title suggests) we did find many potential problems in archaeological meta-analyses that involve both older and more modern collections, we also explored some ways to address these problems. The “promise” we identify begins with understanding the perils!

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Lions of the mammoth steppe

This post is by Erik Ersmark,  lead author of the recently published paper “Population Demography and Genetic Diversity in the Pleistocene Cave Lion“. He is a PhD candidate in the Department of Bioinformatics and Genetics at Stockholm University and the Swedish Museum of Natural History, Stockholm, Sweden.

Today’s African savannah boasts an impressive biodiversity of large mammals that is unique in the modern world. However, this kind of ecosystem was not always restricted to the grasslands of Africa. Far back in time a similar steppe stretched across the entire Eurasian continent all the way from Spain to Alaska, a huge northern savannah inhabited by huge mammals. But although similar, it was at the same time quite different: instead of wildebeests, buffalos and elephants, this steppe was home to bison, aurochs and woolly mammoths. Its fauna was well adapted to the prevailing dry and sometimes quite cold conditions, in many cases to such an extent that these animals were only found in this specific environment.


Cave lions of Chauvet Cave, France

The vast mammoth steppe did not only contain mammoths, horses and other grazers. Preying on the large herbivores were large predators like wolves, sabretooth cats and lions. The lions were of a robust type, slightly larger than their modern counterparts, and although recognized as lions from their remains, no one today knows precisely what they looked like. We know that humans did encounter them far back in time, since they in some cases depicted the lions and thereby provided us with some hints of their appearance. Lions are in fact frequently occurring in Palaeolithic art, perhaps most prolifically and famously so in the cave paintings from the Chauvet cave in France, dating back some 30 thousand years. Cave sites like this have sometimes also contained the actual remains of lions, which has led to the somewhat misleading name given to them – cave lions.

Along with so many other large bodied “cave animals”, the cave lion did not survive into historical times. They went extinct at the end of the Pleistocene era around 14,000 years ago, and around this time the entire mammoth steppe was also fading and it was eventually transformed into woodland and barren tundra.


Erik Ersmark extracting DNA

In order to better understand the population dynamics of the cave lion, we analysed remains gathered from across the former mammoth steppe. We specifically focused on north eastern Siberia, which in the Late Pleistocene was part of Beringia – a vast northern landmass bridging Eurasia and North America. Since the ground is permanently frozen throughout most of this region, the remains found there are usually very well preserved, enough so that it is even possible to extract DNA from them. Together with radiocarbon dating, this DNA provided us with data on how the genetic diversity had changed over time. After all analyses had been performed, the results could give us a glimpse of what had happened to the cave lions of Beringia.

What the results showed was something already suggested in a previous study by Barnett et al. (2009); that the Beringian cave lions had suffered a decline, long before they eventually went extinct. The genetic diversity clearly showed a pattern of a bottleneck having taken place far back in time. By running powerful simulations on our data together with those from the previous study, an estimate was obtained of a decline in population size starting almost 50,000 years ago. This decline seemed to have been both severe and long lasting, because it was not until a few thousand years before its final extinction that the cave lions started to recover.


A cave lion jaw and teeth sampled for this study

The question we were left with was why this bottleneck had taken place. What was the underlying cause or causes? What was more, many other large mammals also seem to have suffered declines in Beringia over this time period. This period did coincide with the expansion of a new kind of predator across Eurasia – modern humans. However, there are so far no reliable human traces of that antiquity (the start of the bottleneck) from inside Beringia, which makes us less likely as suspects. Our results open up for many interpretations, but also for many further studies of the lost and diverse fauna of the mammoth steppe.

You can read the full article, completely free, in our latest issue of Open Quaternary.


  1. Barnett, B. Shapiro, I. Barnes, S.Y.W. Ho, J. Burger, N. Yamaguchi, T.F.G. Higham, T. Wheeler, W. Rosendahl, A.V. Sher, M. Sotnikova, T. Kuznetsova, G.F. Baryshnikov, L.D. Martin, R. Harington, J.A. Burns, A. Cooper, Phylogeography of lions (Panthera leo ssp.) reveals three distinct taxa and a late Pleistocene reduction in genetic diversity, Molecular Ecology, 18 (2009), pp. 1668–1677
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Looking into the Horse’s Mouth: How cementum can tell us about age and season of death

This post is by Haskel J. Greenfield, lead author of the recently published paper “Estimating the Age- and Season-of-Death for Wild Equids: a Comparison of Techniques Utilising a Sample from the Late Neolithic Site of Bad Buchau-Dullenried, Germany“. Greenfield is a Professor in the Department of Anthropology, University of Manitoba, Canada.

The genesis of this study was an odd email request from a German colleague (Karlheinz Steppan) to see if someone was willing to conduct a dental cementum analysis of wild equid specimens from the Neolithic settlement at Bad Buchau-Dullenried, Germany. In my usual exuberance (and naiveté), I thought that this was an interesting opportunity to learn about horse cementum, while collaborating on the analysis of Neolithic material (always a passion of mine). I had already done previous cementum work with my students on sheep and goat. How difficult could it be to do equids, I thought. Well, I should have spoken with my good friend and colleague, Arianne Burke at the University of Montreal, before I embarked on what became a six year quest. On the surface (pun intended!), it was actually much easier to thin-section equid teeth than sheep and goat. Equid teeth were larger and the cementum layers longer and thicker. I thought it should be a “no brainer” to thin-section them and do the seasonality and ageing analyses.

horse skull

A horse skull. Image from Wikipedia.

In fact, nothing proved to be simple other than recruiting Collin Moore (at that time, a MA student in Biological Anthropology at the University of Manitoba; currently, finishing his PhD at the Max Planck Institute for Evolutionary Anthropology, Leipzig) to help me with the project. Collin was a particularly apt collaborator for this research since his specialty was the analysis of dental microstructures (albeit in humans) with new digital technologies.

Once Karlheinz had sent us the specimens, we began to prepare our documentation and analytical protocol. The thin-sectioning stage went relatively easily once we had selected, documented, and prepared the specimens. Once the slides were ready for analysis, we began by independently examining them in a traditional light optical microscope. Of course, the results were contradictory. Then, Collin suggested that we use the new digital microscope that my colleague, Robert Hoppa, had installed in the Bioanthropology Digital Image Analysis Laboratory at the University of Manitoba. This opened up a wealth of visual and data analytic techniques for mapping and analysing the cementum increments. The problem was: how to interpret the results? This is where the science and the art begin to separate in our discipline. The scientific techniques were there, but the interpretation becomes the art. It is in the art that all the techniques and analysts begin to differ, we discovered.

horse teeth

Four of the samples used in the study. From Greenfield et al. 2015.

Given our initial consternation at having come up with different results for ageing and season of death of the samples, we decided to use the specimens to test the various ageing and seasonality techniques for equids that have been published and become widely accepted by zoologists and zooarchaeologists. This forced us to backtrack and begin the analysis again, without any preconceptions. First, we analysed the remains using traditional veterinary and zoological techniques, such as incisor tooth wear. Then, we tried using Marsha Levine’s commonly applied cheek tooth height formula. Finally, we began to analyse the specimens using well-established and age verified Arianne Burke’s protocol for dental cementum. These were then compared with our results from the new automated technology.

The results were surprising—and disconcerting. The tooth eruption and wear and crown height measurement techniques yielded the lowest age estimations and were not useful for seasonality determination. Simply based upon comparison with modern tooth eruption analogues, the age of any individual analysed in this manner would be underestimated. The manual increment counting age estimation technique yielded wider variation in age estimation than the other techniques, and older age estimation than tooth wear/eruption or crown height measurements. The line histogram technique yielded narrower range of age estimation than manual observations, but still yielded a slightly older age range. The automated age estimation technique yielded the narrowest range of age estimation. However, age values were slightly higher than with the manual or line histogram results.

In contrast, all of the thin-sectioning techniques yielded a similar range for the season-of-death of the animal. However, we found that it was most efficient to use the automated technique to pinpoint when in the cold or warm seasons that the specimen may have died. Overall, the automated technique was by far the most efficient in terms of time and effort, and the most accurate when comparing teeth from the same individual.

The automated technique provides the narrowest age- and season-of-death range. It is the most effective, as well as the most efficient in terms of time and energy, technology to use. The application of the new digital technologies is the way out of the intellectual trap of “which technique is superior” because it removes much of the “art” (or human observer variability) from analysis. What do we learn from this experiment? The most important result is to never simply to use one technique of analysis. Which technique is closest to the truth? Who knows, but we learned a lot while doing it!

You can read the full article, completely free, in our latest issue of Open Quaternary.

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Launching Open Quaternary

Several months ago, we introduced Open Quaternary in a so-called “soft launch”. All the odds and ends had been settled with our open-access publisher, Ubiquity Press, our website went live, and we began to solicit paper submissions. We also began a Facebook page, started tweeting at @OpenQuaternary and Simon Goring, an editorial board member and the research blogger behind downwithtime, graciously got this blog off the ground.


The new Open Quaternary website, highlighting recently published and top articles.


Last week saw our official launch, with 3 diverse publications representing our research and methods paper categories on a brand new, redesigned website. In addition, we, the editors in chief, included an editorial announcing the launch and papers. In just two days of launching, we had over 1000 sessions and over 2700 page views. Moving forward, we have a number of submissions in the review process, including papers in our public engagement and data categories as well as a special collection based on conference proceedings. In the meantime, we will be sharing a series of blog posts on our published articles here at the OpenQuaternary Discussions blog, so watch this space!

Of course, if you have not yet read the editorial or articles, you they are available, free, and can be viewed or downloaded at openquaternary.com. We are currently accepting paper submissions on a rolling basis.


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Simon Goring is a member of the editorial board and an author of an accepted article at Open Quaternary.  Here he discusses his experience participating in the editorial process in anticipation of the journal’s launch issue, available online in March 2015.

Figure 1. Neotoma and R together at last!

We (myself, Andria Dawson, Gavin L. SimpsonEric GrimmKarthik Ram, Russ Graham and Jack Williams) have a paper in press at a new journal called Open Quaternary.  The paper documents an R package that we developed in collaboration with rOpenSci to access and manipulate data from the Neotoma Paleoecological Database.  In part the project started because of the needs of the PalEON project.  We needed a dynamic way to access pollen data from Neotoma, so that analysis products could be updated as new data entered the database.  We also wanted to exploit the new API developed by Brian Bills and Michael Anderson at Penn State’s Center for Environmental Informatics.

There are lots of thoughts about where to submit journal articles.  Nature’s Research Highlights has a nice summary about a new article in PLoS One (Salinas and Munch, 2015) that looks to identify optimum journals for submission, and Dynamic Ecology discussed the point back in 2013, a post that drew considerable attention (here, here, and here, among others).  When we thought about where to submit I made the conscious choice to choose an Open Source journal. I chose Open Quaternary partly because I’m on the editorial board, but also because I believe that domain specific journals are still a critical part of the publishing landscape, and because I believe in Open Access publishing.

The downside of this decision was that (1) the journal is new, so there’s a risk that people don’t know about it, and it’s less ‘discoverable’; (2) even though it’s supported by an established publishing house (Ubiquity Press) it will not obtain an impact factor until it’s relatively well established.  Although it’s important to argue that impact factors should not make a difference, it’s hard not to believe that they do make a difference.

Figure 2. When code looks crummy it’s not usable. This has since been fixed.

That said, I’m willing to invest in my future and the future of the discipline (hopefully!), and we’ve already seen a clear advantage of investing in Open Quaternary.  During the revision of our proofs we noticed that the journal’s two column format wasn’t well suited the the blocks of code that we presented to illustrate examples in our paper.  We also lost the nice color syntax highlighting thatpandoc offers when it renders RMarkdown documents (see examples in our paper’s markdown file).  With the help of the journal’s Publishing Assistant Paige MacKay, Editor in Chief Victoria Herridge and my co-authors we were able to get the journal to publish the article in a single column format, with syntax highlighting supported using highlight.js.

I may not have a paper in Nature, Science or Cell (the other obvious option for this paper /s) but by contributing to the early stages of a new open access publishing platform I was able to change the standards and make future contributions more readable and make sure that my own paper is accessible, readable and that the technical solution we present is easily implemented.

I think that’s a win.  The first issue of Open Quaternary should be out in March, until then you can check out our GitHub repository or the PDF as submitted (compleate with typoes).

This post originally appeared on downwithtime.

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A view from the field.

Since we’re half a year away from the traditional academic time period known as “field season” (at least in the Northern Hemisphere), I’ve been thinking a lot about being out and about.

For many Quaternary scientists field work involves coring in one form or another.  You name it, we’ll core it.  Corals, trees, lakes, swamps, bogs, forest floors, ocean floors, we’ll section pack rat middens (crystalized urine), we’ll drill through guano piles, stalagmites, stalactites, glaciers. . . and I’m pretty sure there’s others that I’m missing.  Pictures of pollen coring expeditions are iconic images in paleoecology.  Most of us who have spent time on the ice or in two lashed together dinghies (or fancier digs!) can immediately relate to the pictures, but, unlike the stratigraphic diagrams that get produced afterwards, these pictures can be easily lost, and yet they represent a critical part of our investigations.  They link our scientific discoveries to a specific place and time, they provide a snapshot of paleoecological geneology that publications can’t capture.  Not everyone on the coring platform gets authorship (although they should be acknowledged!).

With that in mind I posted a note on the PALEOLIM mailing list looking for coring pictures and got a great response and I thought I’d share some of them with you here.


Eric Grimm sent this one to me.  A winter coring expedition at Brush Lake, MT near the North Dakota border.  Given the location this could be late spring (!).  Pictured here are Jeremy Wolpert (formerly a grad student at WVU, now a Senior Geologist in Texas), Kendrick Brown (now with the Canadian Forest Service), Alex McLeod (kneeling, PhD student, Monash University Australia), Joe Donovan (Geology prof., West Virginia),and Eric Grimm (Illinois State Museum).

Baikal Archeological Project 2006 (University of Alberta).Ile d'Olkhon.

This picture was taken by Marc Roussel and it comes from Anson MacKay.  Taken on Shara Nu, Lake Baikal.  Anson’s posted previously about Lake Baikal on the OpenQuaternary blog. On the left is Dr Dustin White (University of Southampton) and in the middle standing up is Dr Alexander Shchetnikov (Institute of the Earth’s Crust), while bending down next to Dustin is Ewan Shilland (University College of London) and on the far right is Anson MacKay.

I have a bunch more, and will post them as we figure out what to do with them!  In the meantime if you have more coring photos, please send them to us along with the list of people in the photos, and, if possible, publications that came from that coring expedition.  We’d love to start compiling these in a more formal way.

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