Literature DB >> 33250027

Cultural evolution and prehistoric demography.

Sarah Saxton Strassberg1, Nicole Creanza1.   

Abstract

One prominent feature of human culture is that different populations have different tools, technologies and cultural artefacts, and these unique toolkits can also differ in size and complexity. Over the past few decades, researchers in the fields of prehistoric demography and cultural evolution have addressed a number of questions regarding variation in toolkit size and complexity across prehistoric and modern populations. Several factors have been proposed as possible explanations for this variation: in particular, the mobility of a population, the resources it uses, the volatility of its environment and the number of individuals in the population. Using a variety of methods, including empirical and ethnographic research, computational models and laboratory-based experiments, researchers have found disparate results regarding each hypothesis. These discordant findings have led to debate over the factors that most significantly influence toolkit size and composition. For instance, several computational, empirical and laboratory studies of food-producing populations have found a positive correlation between the number of individuals in a population and toolkit size, whereas similar studies of hunter-gatherer populations have found little evidence of such a link. In this paper, we conduct a comprehensive review of the literature in this field of study and propose corollaries and interdisciplinary approaches with the goal of reconciling dissimilar findings into a more comprehensive view of cultural toolkit variation. This article is part of the theme issue 'Cross-disciplinary approaches to prehistoric demography'.

Entities:  

Keywords:  cultural evolution; cultural repertoire; population size; prehistoric demography; toolkit complexity

Mesh:

Year:  2020        PMID: 33250027      PMCID: PMC7741094          DOI: 10.1098/rstb.2019.0713

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  29 in total

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Authors:  Pablo A Marquet; Calogero M Santoro; Claudio Latorre; Vivien G Standen; Sebastián R Abades; Marcelo M Rivadeneira; Bernardo Arriaza; Michael E Hochberg
Journal:  Proc Natl Acad Sci U S A       Date:  2012-08-13       Impact factor: 11.205

5.  Understanding stone tool-making skill acquisition: Experimental methods and evolutionary implications.

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6.  Reply to Henrich et al.: The Tasmanian effect and other red herrings.

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7.  Human cumulative culture in the laboratory: Effects of (micro) population size.

Authors:  Christine A Caldwell; Ailsa E Millen
Journal:  Learn Behav       Date:  2010-08       Impact factor: 1.986

8.  Experimental evidence for the influence of group size on cultural complexity.

Authors:  Maxime Derex; Marie-Pauline Beugin; Bernard Godelle; Michel Raymond
Journal:  Nature       Date:  2013-11-13       Impact factor: 49.962

9.  Modeling effects of local extinctions on culture change and diversity in the paleolithic.

Authors:  L S Premo; Steven L Kuhn
Journal:  PLoS One       Date:  2010-12-17       Impact factor: 3.240

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Journal:  Proc Natl Acad Sci U S A       Date:  2019-03-14       Impact factor: 11.205

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  5 in total

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Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-11-30       Impact factor: 6.237

Review 2.  Archaeology, demography and life history theory together can help us explain past and present population patterns.

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Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-11-30       Impact factor: 6.237

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Journal:  PLoS Comput Biol       Date:  2022-04-08       Impact factor: 4.779

4.  Modeling how population size drives the evolution of birdsong, a functional cultural trait.

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Journal:  Evolution       Date:  2022-04-20       Impact factor: 4.171

5.  Hunter-gatherer foraging networks promote information transmission.

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  5 in total

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