Cited by 98Pleistocene-Era Hominins and ArchaeologyLanguage and cultural evolutionArchaeology and Rock Art Studies

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Identifying early modern human ecological niche expansions and associated cultural dynamics in the South African Middle Stone Age

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d’Errico, Francesco, Banks, William E., Warren, Dan L., Sgubin, Giovanni, van Niekerk, Karen, Henshilwood, Christopher, Daniau, Anne-Laure, Sánchez Goñi, María Fernanda·2017·Proceedings of the National Academy of Sciences

Abstract

The archaeological record shows that typically human cultural traits emerged at different times, in different parts of the world, and among different hominin taxa. This pattern suggests that their emergence is the outcome of complex and nonlinear evolutionary trajectories, influenced by environmental, demographic, and social factors, that need to be understood and traced at regional scales. The application of predictive algorithms using archaeological and paleoenvironmental data allows one to estimate the ecological niches occupied by past human populations and identify niche changes through time, thus providing the possibility of investigating relationships between cultural innovations and possible niche shifts. By using such methods to examine two key southern Africa archaeological cultures, the Still Bay [76–71 thousand years before present (ka)] and the Howiesons Poort (HP; 66–59 ka), we identify a niche shift characterized by a significant expansion in the breadth of the HP ecological niche. This expansion is coincident with aridification occurring across Marine Isotope Stage 4 ( ca. 72–60 ka) and especially pronounced at 60 ka. We argue that this niche shift was made possible by the development of a flexible technological system, reliant on composite tools and cultural transmission strategies based more on “product copying” rather than “process copying.” These results counter the one niche/one human taxon equation. They indicate that what makes our cultures, and probably the cultures of other members of our lineage, unique is their flexibility and ability to produce innovations that allow a population to shift its ecological niche.

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  • Recent hypotheses studying major events in evolution point to environmental complexity.

    “Recent hypotheses studying major events in evolution point to environmental complexity (Maslin et al., 2015;Potts, 2013;d'Errico et al., 2017).”

    From Dynamics of niche construction in adaptable populations evolving in diverse environments (2023) · cites this paper as d'Errico et al., 2017

    The introduction (page unavailable) discusses hypotheses linking environmental or climatic variability to the emergence of cultural innovations in the human lineage. The Discussion and Conclusions (page unavailable) likewise connects aridification with a change in early modern human adaptations. These passages support an environmental role in human cultural change, but not the broader claim about environmental complexity in major evolutionary events generally. (LLM, conf=0.78)

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  1. 10.1073/pnas.1707630114 · DOI
  2. 10.1073/pnas.1620733114 · DOI
  3. 10.1073/pnas.1620734114 · DOI
  4. 10.1016/j.cub.2016.03.037 · DOI · Paper page
  5. 10.1038/nature21347 · DOI · Paper page
  6. 10.1038/nature01669 · DOI · Paper page
  7. 10.1038/ng.937 · DOI
  8. 10.1086/686484 · DOI · Paper page
  9. 10.1016/j.jas.2012.01.031 · DOI
  10. 10.1016/j.jhevol.2009.01.005 · DOI
  11. 10.1126/science.1195550 · DOI
  12. 10.1098/rstb.2010.0340 · DOI
  13. 10.1126/science.1211535 · DOI
  14. 10.1016/j.jas.2006.01.006 · DOI
  15. 10.1038/nature18291 · DOI
  16. 10.1371/journal.pone.0101278 · DOI
  17. 10.1073/pnas.1411529111 · DOI
  18. 10.1073/pnas.0914088107 · DOI · Paper page
  19. 10.1371/journal.pone.0021545 · DOI
  20. 10.1038/nature13962 · DOI
  21. 10.1073/pnas.0903532106 · DOI · Paper page
  22. 10.1016/j.neuron.2007.10.004 · DOI
  23. 10.1073/pnas.1620738114 · DOI
  24. 10.1038/nrg3936 · DOI · Paper page
  25. 10.1007/s10963-012-9060-3 · DOI
  26. 10.1016/j.jhevol.2014.07.002 · DOI
  27. 10.1073/pnas.0900957106 · DOI
  28. 10.1126/science.1213317 · DOI
  29. 10.1016/j.jhevol.2013.02.001 · DOI
  30. 10.1126/science.1162219 · DOI
  31. 10.1073/pnas.0804472105 · DOI
  32. 10.1126/science.1199113 · DOI
  33. 10.1016/j.quascirev.2010.12.012 · DOI
  34. 10.1038/ncomms2897 · DOI · Paper page
  35. 10.1086/673388 · DOI
  36. 10.23943/princeton/9780691136868.001.0001 · DOI
  37. 10.1371/journal.pone.0131127 · DOI
  38. 10.1016/j.jhevol.2004.09.002 · DOI
  39. 10.1016/S0047-2484(03)00049-6 · DOI
  40. 10.1016/j.jhevol.2006.03.007 · DOI
  41. 10.1016/j.jas.2012.06.037 · DOI
  42. 10.1016/j.jas.2008.10.018 · DOI
  43. 10.1016/j.jhevol.2013.01.006 · DOI
  44. 10.1016/j.jas.2012.12.001 · DOI
  45. 10.1016/j.jhevol.2016.05.007 · DOI
  46. 10.1016/j.jhevol.2017.02.004 · DOI
  47. 10.1016/j.jas.2014.01.033 · DOI
  48. 10.1371/journal.pone.0163874 · DOI
  49. 10.1371/journal.pone.0143451 · DOI
  50. P de la Peña, L Wadley, M Lombard, Quartz bifacial points in the Howiesons Poort of Sibudu. S Afr Archaeol Bull 68, 119–136 (2013).
  51. 10.1016/j.jas.2012.01.040 · DOI
  52. 10.1016/j.jas.2007.11.006 · DOI
  53. 10.1017/S0003598X00100134 · DOI
  54. J Bradfield, M Lombard, A macrofracture study of bone points used in experimental hunting with reference to the South African middle stone age. S Afr Archaeol Bull 66, 67 (2011).
  55. 10.1016/j.jas.2012.12.026 · DOI
  56. 10.1016/j.jhevol.2016.01.002 · DOI · Paper page
  57. 10.1073/pnas.0913047107 · DOI
  58. 10.1016/j.jas.2008.04.017 · DOI
  59. 10.1016/j.jas.2015.01.023 · DOI
  60. 10.1016/S0277-3791(97)00005-X · DOI
  61. 10.1073/pnas.1214292110 · DOI · Paper page
  62. 10.5194/cp-10-1165-2014 · DOI
  63. 10.5194/cp-11-1417-2015 · DOI
  64. 10.1016/j.quascirev.2014.09.007 · DOI
  65. 10.1038/ngeo1924 · DOI
  66. 10.1029/2005GL024546 · DOI
  67. 10.1175/JCLI3689.1 · DOI
  68. 10.1038/nature07770 · DOI
  69. 10.1126/science.1213397 · DOI
  70. 10.1002/palo.20038 · DOI
  71. HA Nix, A biogeographic analysis of Australian elapid snakes. Atlas of Elapid Snakes of Australia, Australian Flora and Fauna Series, ed R Longmore (Australian Government Publishing Service, Canberra), pp. 4–15 (1986).
  72. 10.1016/j.ecolmodel.2005.03.026 · DOI · Paper page
  73. ; R Core Team R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, Vienna, 2013).
  74. 10.1111/j.1558-5646.2008.00482.x · DOI
  75. DL Warren, RE Glor, M Turelli, ENMTools: A toolbox for comparative studies of environmental niche models. Ecography 33, 607–611 (2010). · DOI · Paper page
  76. 10.1515/9780691209418 · DOI
  77. 10.1371/journal.pone.0015297 · DOI
  78. 10.1038/nature01286 · DOI · Paper page
  79. 10.1146/annurev.ecolsys.36.102803.095431 · DOI
  80. 10.1111/j.1365-2699.2010.02456.x · DOI
  81. 10.1098/rstb.2009.0052 · DOI · Paper page
  82. 10.1098/rstb.2009.0069 · DOI
  83. 10.1016/j.jas.2013.02.012 · DOI
  84. 10.1017/S0959774315000384 · DOI
  85. R Torrence Hunter-gatherer technology: Macro- and microscale patterns. Hunter-Gatherers: An Interdisciplinary Perspective Biosocial Society Symposium Series eds Panter-Brick C Layton R Rowley-Conwy P (Cambridge Univ Press Cambridge UK) pp 73–98. (2001).
  86. M Collard, M Kemery, S Banks, Causes of toolkit variation among hunter-gatherers: A test of four competing hypotheses. Can J Archaeol J Can D’Archéologie 29, 1–19 (2005).
  87. 10.1017/S0002731600047326 · DOI
  88. 10.1098/rstb.2010.0366 · DOI
  89. 10.1098/rstb.2010.0376 · DOI
  90. MA Kline, R Boyd, Population size predicts technological complexity in Oceania. Proc R Soc Lond B Biol Sci 277, 2559–2564 (2010).
  91. 10.1098/rstb.2012.0412 · DOI
  92. 10.1016/j.jhevol.2012.10.001 · DOI
  93. 10.1016/j.jhevol.2006.08.003 · DOI
  94. 10.1371/journal.pone.0101534 · DOI
  95. 10.1016/j.jas.2013.01.025 · DOI
  96. 10.1051/0004-6361:20041335 · DOI
  97. 10.1126/science.1141038 · DOI

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Metadata

Authors
d’Errico, F., Banks, W. E., Warren, D. L., Sgubin, G., van Niekerk, K., Henshilwood, C., Daniau, A.-L., & Sánchez Goñi, M. F.
Affiliations
  • Centre National de la Recherche Scientifique (FR)
  • Okinawa Institute of Science and Technology Graduate University (JP)
  • University of the Witwatersrand (ZA)
  • CNRS, UMR 5805–Environnements et Paléoenvironnements Océaniques et Continentaux, Université de Bordeaux, 33615 Pessac Cedex, France;
Venue
Proceedings of the National Academy of Sciences
Published
2017-07-24
Volume
114
Issue
30
Pages
7869-7876
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2737589744
Cited by
98
References
3
Citations by year
2026: 8 · 2025: 5 · 2024: 9 · 2023: 8 · 2022: 10 · 2021: 15 · 2020: 20 · 2019: 8 · 2018: 11 · 2017: 4
FWCI
47.50
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • HAL (submittedVersion, other-oa)
  • Oskar-Bordeaux (Universite de Bordeaux) (submittedVersion)
Funders
  • EC | European Research Council (249587)
  • Agence Nationale de la Recherche (ANR-10-LABX-52)
Topics
  • Social Sciences › Anthropology › Pleistocene-Era Hominins and Archaeology
  • Social Sciences › Cultural Studies › Language and cultural evolution
  • Social Sciences › Archeology › Archaeology and Rock Art Studies
Keywords
niche shift, Middle Stone Age, Still Bay, Howiesons Poort, aridification, Marine Isotope Stage 4, composite tools, cultural transmission, cultural innovation, early modern humans, Southern Africa, paleoenvironmental reconstruction, predictive algorithms

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