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• W2790127371 endingPage "20170054" @default.
• W2790127371 startingPage "20170054" @default.
• W2790127371 abstract "In the study of cultural evolution, observed among-group affinity patterns reflect the effects of processes such as mutation (e.g. innovation and copying error), between-group interaction (culture flow), drift and selection. As in biology, cultural affinity patterns are often spatially correlated, making it difficult to distinguish between the opposing geographically mediated forces of divergence and interaction, which cause groups to become more distinct or similar over time, respectively. Analogous difficulties are faced by evolutionary biologists examining the relationship between biological affinity and geography, particularly at lower taxonomic levels where the potential for gene flow between lineages is greatest. Tree models are generally used to assess the fit between affinity patterns and models of historical divergence. However, factors driving lineage divergence are often spatially mediated, resulting in tree models that are themselves geographically structured. Here, we showcase a simple method drawn from evolutionary ecology for assessing the relative impact of both geographically mediated processes simultaneously. We illustrate the method using global human craniometric diversity and material culture from the northern coast of New Guinea as example case studies. This method can be employed to quantify the relative importance of history (divergence) and geographically mediated between-group interaction (culture flow) in explaining observed cultural affinity patterns. This article is part of the theme issue ‘Bridging cultural gaps: interdisciplinary studies in human cultural evolution’." @default.
• W2790127371 created "2018-03-29" @default.
• W2790127371 creator A5009259750 @default.
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• W2790127371 date "2018-02-12" @default.
• W2790127371 modified "2023-09-27" @default.
• W2790127371 title "Assessing the relative impact of historical divergence and inter-group transmission on cultural patterns: a method from evolutionary ecology" @default.
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• W2790127371 doi "https://doi.org/10.1098/rstb.2017.0054" @default.
• W2790127371 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5812967" @default.
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