Literature DB >> 28012460

A new high-resolution 3-D quantitative method for identifying bone surface modifications with implications for the Early Stone Age archaeological record.

Michael C Pante1, Matthew V Muttart2, Trevor L Keevil2, Robert J Blumenschine3, Jackson K Njau4, Stephen R Merritt5.   

Abstract

Bone surface modifications have become important indicators of hominin behavior and ecology at prehistoric archaeological sites. However, the method by which we identify and interpret these marks remains largely unchanged despite decades of research, relying on qualitative criteria and lacking standardization between analysts. Recently, zooarchaeologists have begun using new technologies capable of capturing 3-D data from bone surface modifications to advance our knowledge of these informative traces. However, an important step in this research has been overlooked and after years of work, we lack both a universal and replicable protocol and an understanding of the precision of these techniques. Here we propose a new standard for identifying bone surface modifications using high-resolution 3-D data and offer a systematic and replicable approach for researchers to follow. Data were collected with a white-light non-contact confocal profilometer and analyzed with Digital Surf's Mountains® software. Our data show that when methods are standardized, results between researchers are statistically indistinguishable. Multivariate analyses using the measured parameters allow discrimination between stone tool cut marks and mammalian carnivore tooth marks with 97.5% accuracy. Application of this method to fossil specimens resulted in 100% correspondence with identifications made by an experienced analyst using macroscopic observations of qualitative features of bone surface modifications. High-resolution 3-D analyses of bone surface modifications have great potential to improve the reliability and accuracy of taphonomic research, but only if our methods are replicable and precise.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Confocal profilometry; Cut mark; Feeding trace; Tooth mark

Mesh:

Year:  2016        PMID: 28012460     DOI: 10.1016/j.jhevol.2016.10.002

Source DB:  PubMed          Journal:  J Hum Evol        ISSN: 0047-2484            Impact factor:   3.895


  5 in total

1.  Revised taphonomic perspective on African Plio-Pleistocene fauna.

Authors:  Nicholas Toth
Journal:  Proc Natl Acad Sci U S A       Date:  2017-11-29       Impact factor: 11.205

2.  Developments in data science solutions for carnivore tooth pit classification.

Authors:  Lloyd A Courtenay; Darío Herranz-Rodrigo; Diego González-Aguilera; José Yravedra
Journal:  Sci Rep       Date:  2021-05-13       Impact factor: 4.379

3.  Time wears on: Assessing how bone wears using 3D surface texture analysis.

Authors:  Naomi L Martisius; Isabelle Sidéra; Mark N Grote; Teresa E Steele; Shannon P McPherron; Ellen Schulz-Kornas
Journal:  PLoS One       Date:  2018-11-07       Impact factor: 3.240

4.  Experimental and archaeological data for the identification of projectile impact marks on small-sized mammals.

Authors:  Rossella Duches; Nicola Nannini; Alex Fontana; Francesco Boschin; Jacopo Crezzini; Marco Peresani
Journal:  Sci Rep       Date:  2020-06-04       Impact factor: 4.379

5.  Testing accuracy in 2D and 3D geometric morphometric methods for cut mark identification and classification.

Authors:  Lloyd A Courtenay; Miguel Ángel Maté-González; Julia Aramendi; José Yravedra; Diego González-Aguilera; Manuel Domínguez-Rodrigo
Journal:  PeerJ       Date:  2018-07-05       Impact factor: 2.984

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.